Taiwan Web Museum 台灣網路藝術美術博物館 台湾网络艺术美术博物馆

Official Website 2: (registered on 2017-03-29)

官網 2: (2017 年 3 月 29 日註冊)

https://youtube.com/shorts/tWuKWra_hGc?feature=share

Videos 影片:

https://youtube.com/channel/UCyHT7YOQfGA7OObZk8v9ZvA

Media 媒體:

https://orionandhsu.blogspot.com/2021/06/the-governments-responsibilities-to.html

https://orionwebmuseum.blogspot.com/2021/06/the-governments-responsibilities-to.html

https://taiwanwebmuseum.blogspot.com/2021/06/the-governments-responsibilities-to.html

Never try to use an unchanging vaccine to fight a mutated virus.

...

[ Science, Vol 373, Issue 6557, 16 AUG 2021, BY MEREDITH WADMAN ]

A grim warning from Israel: Vaccination blunts, but does not defeat Delta.

With early vaccination and outstanding data, country is the world’s real-life COVID-19 lab.

Israel has among the world’s highest levels of vaccination for COVID-19, with 78% of those 12 and older fully vaccinated, the vast majority with the Pfizer vaccine. Yet the country is now logging one of the world’s highest infection rates, with nearly 650 new cases daily per million people. More than half are in fully vaccinated people, underscoring the extraordinary transmissibility of the Delta variant and stoking concerns that the benefits of vaccination ebb over time.

...

Israel’s sobering setback

Israel, which has led the world in launching vaccinations and in data gathering, is confronting a surge of COVID-19 cases that officials expect to push hospitals to the brink. Nearly 60% of gravely ill patients are fully vaccinated.

...

What is clear is that “breakthrough” cases are not the rare events the term implies. As of 15 August, 514 Israelis were hospitalized with severe or critical COVID-19, a 31% increase from just 4 days earlier. Of the 514, 59% were fully vaccinated. Of the vaccinated, 87% were 60 or older. “There are so many breakthrough infections that they dominate and most of the hospitalized patients are actually vaccinated,” says Uri Shalit, a bioinformatician at the Israel Institute of Technology (Technion) who has consulted on COVID-19 for the government. “One of the big stories from Israel [is]: ‘Vaccines work, but not well enough.’”

...

Yet boosters are unlikely to tame a Delta surge on their own, says Dvir Aran, a biomedical data scientist at Technion.

...

Aran’s message for the United States and other wealthier nations considering boosters is stark: “Do not think that the boosters are the solution.”

...

Author

Meredith Wadman

About the author

Meredith joined Science as a staff writer in September 2016, after covering biomedical research and its politics from Washington, D.C., for 20 years. Her current beat includes biology research, policy, and sexual harassment. She has been a staff writer for Nature and a contributing writer at Fortune. She has also written op-eds for The Wall Street Journal, The New York Times and The Washington Post.

Her first book, The Vaccine Race: Science, Politics and the Human Costs of Defeating Disease, was published by Viking (U.S./Canada) and Transworld (U.K.) in February 2017.

Meredith earned her B.A. in Human Biology at Stanford University and began medical school at the University of British Columbia in her native Vancouver.

She completed her medical degree as a Rhodes Scholar at the University of Oxford in the United Kingdom, and earned a master’s of science at the Columbia University Graduate School of Journalism.

...

這些現代人寧願死於 Covid-19 病毒感染，即使沒有完全有效的疫苗，也不願嘗試我們更先進的電腦人工智能的幫助，這肯定會被遠古外太空外星高科技文明所大大嘲笑一番。

永遠不要嘗試使用不變的疫苗來對抗突變的病毒。

否則，一旦變異病毒能夠充分利用減弱的疫苗抗體來反噬其疫苗接種者的人體免疫系統，就意味著全國大量接種者人口將同時面臨大規模滅絕的悲慘時期，他們將完全無法獲救，即 Covid-19「抗體依賴性免疫加強反應」(antibody-dependent enhancement, ADE)。

...

[《科學》雜誌，第 373 卷，第 6557 期，2021 年 8 月 16 日，梅雷迪思·瓦德曼 (Meredith Wadman) 作 ]

來自以色列的嚴峻警告：疫苗接種變弱，但並沒有擊敗 Delta。

憑藉早期的疫苗接種和出色的數據，以色列國家是世界上真實的 COVID-19 實驗室。

以色列是世界上 COVID-19 疫苗接種水平最高的國家之一，其中 78% 的 12 歲及以上的人完全接種了疫苗，之中絕大多數接種了輝瑞疫苗。然而，該國現在是世界上感染率最高的國家之一，每百萬人每天有近 650 例新病例。超過一半是完全接種疫苗的人群，突顯了 Delta 變種病毒的非凡傳播能力，並引發了人們對疫苗接種的好處會隨著時間的推移而減弱的擔憂。

...

以色列發人深省的挫敗

在開展疫苗接種和數據收集方面處於世界領先地位的以色列正面臨 COVID-19 病例激增的問題，官員們預計這會將醫院推向邊緣。近 60% 的重症患者已全面接種疫苗。

...

顯而易見的是，“突破性感染” 案例並不是該術語所暗示的罕見事件。截至 8 月 15 日，514 名以色列人因重症或危險急症的 COVID-19 住院，比 4 天前增加了 31%。在 514 人中，59% 的人已完全接種疫苗。在接種疫苗的人中，87% 是 60 歲或以上。以色列理工學院 (Technion) 的生物信息學家烏里·沙利特 (Uri Shalit) 曾為政府就 COVID-19 進行過諮詢，他說：“有太多突破性感染占主導地位，而且大多數住院患者實際上都接種了疫苗。” “來自以色列的一個大故事 [正是]：‘疫苗有效，但是還不夠好。’”

...

然而，以色列理工學院 (Technion) 的生物醫學數據科學家德維爾·阿蘭 (Dvir Aran) 表示，第三劑疫苗加強針不太可能自己能夠降服 Delta 病毒的激增。

...

德維爾·阿蘭 (Dvir Aran) 向美國和其他考慮第三劑疫苗加強針的富裕國家所傳達的信息非常明確：“不要認為第三劑疫苗加強針是解決方案。”

...

作者

梅雷迪思·瓦德曼 (Meredith Wadman)

關於作者

梅雷迪思·瓦德曼 (Meredith Wadman) 在華盛頓特區報導生物醫學研究及其政治 20 年後，於 2016 年 9 月加入《科學》雜誌擔任職務作者。她目前的軼事包括生物學研究、政策和性騷擾。她一直是《自然》雜誌的職務作者，也是《財富》雜誌的特約作者。她還為《華爾街日報》、《紐約時報》和《華盛頓郵報》撰寫專欄文章。

她的第一本書《疫苗競賽：科學、政治和戰勝疾病的人類代價》於 2017 年 2 月由 Viking (美國/加拿大) 和 Transworld (英國) 出版。

迪思·瓦德曼 (Meredith Wadman) 在史坦福大學獲得人類生物學學士學位，並在她的家鄉溫哥華的不列顛哥倫比亞大學開始醫學院學習課程。

她在英國牛津大學以羅德學者的身份完成了醫學學位，並在哥倫比亞大學新聞研究生學院獲得了科學碩士學位。

'Research and Development' since 1987-05-22

'研究與開發' 始於 1987 年 5 月 22 日

Official Website 1: (registered on 2017-06-08)

官網 1: (2017 年 6 月 8 日註冊)

Official Website 2: (registered on 2017-03-29)

官網 2: (2017 年 3 月 29 日註冊)

Videos 影片:

https://youtube.com/channel/UCyHT7YOQfGA7OObZk8v9ZvA

Media 媒體:

https://orionandhsu.blogspot.com/2021/06/the-governments-responsibilities-to.html

https://orionwebmuseum.blogspot.com/2021/06/the-governments-responsibilities-to.html

https://taiwanwebmuseum.blogspot.com/2021/06/the-governments-responsibilities-to.html

The active grade of event symbols

事件代碼符號的活躍等級

https://youtu.be/8FuyrAK1G90

[ Δ活 ]

Active [ Δ活 ]

活躍的 [ Δ活 ]

[ Δ活 ]

[ Δ活 ] - Active Event Symbols

[ Δ活 ] - 活躍的事件代碼符號

Nil 無符號 = [ Δ活0 ]

Zero level of active grade

零級別的活躍等級

[ Δ活1 ]

First level of active grade

第一級別的活躍等級

[ Δ活2 ]

Second level of active grade

第二級別的活躍等級

The following combined with event symbols ' !危 D險 ' are very active and dangerous:

下列與事件代碼符號 ' !危 D險 ' 的組合，是非常活躍和危險的：

[ Δ活3 ]

Third level of active grade

第三級別的活躍等級

[ Δ活4 ]

Fourth level of active grade

第四級別的活躍等級

[ Δ活5 ] - [ Δ活10 ] or more

Highest level of active grade

[ Δ活5 ] - [ Δ活10 ] 或以上

最高級別的活躍等級

The combinations of event symbols ' !危 D險 ' and [ Δ活3 ] or above, their dangerous level of active grade is very high, you must pay special attention and try not to drive.

[ Δ活3 ] 或以上，與事件代碼符號 ' !危 D險 ' 的組合，其危險活躍程度即甚高，要特別注意小心，儘量不要開車。

Dangerous combination of event symbols

事件代碼符號的危險組合

!危 D險

!危 D險 [Day 日] + !危 D險 [Month 月]

!危 D險 [Day 日] + !危 D險 [Year 年]

!危 D險 [Day 日] + !危 D險 [Month 月] + !危 D險 [Year 年]

( T運 0 ) [Day 日/Month 月/Year 年] + !危 D險

( S偏 0 ) [Day 日/Month 月/Year 年] + !危 D險

Case Studies

實例研究

Case Studies of the active grade of event symbols

事件代碼符號活躍等級的實例研究

01. Abraham Lincoln 亞伯拉罕林肯

02. John F. Kennedy 約翰甘迺迪

03. Pope John Paul II 大教宗聖若望保祿二世

04. Princess Diana 黛安娜王妃

05. Ronald Reagan 隆納雷根

06. Grace Kelly 葛麗絲凱莉

07. Paul Walker 保羅沃克

08. Roger Rodas 羅傑羅達斯

09. Qasem Soleimani 卡西姆蘇雷曼尼

10. Shen Yiming 沈一鳴

01. Abraham Lincoln 亞伯拉罕林肯

Day 日 - [ Δ活7 ] !危 D險 ( S偏 0 )

Month 月 - [ Δ活8 ] !危 D險

Year 年 - [ Δ活3 ] !危 D險

02. John F. Kennedy 約翰甘迺迪

Day 日 - [ Δ活9 ] !危 D險

Month 月 - [ Δ活10 ] ( T運 0 )

Year 年 - [ Δ活3 ]

03. Pope John Paul II 大教宗聖若望保祿二世

Day 日 - [ Δ活9 ] !危 D險

Month 月 - [ Δ活6 ]

Year 年 - [ Δ活3 ]

04. Princess Diana 黛安娜王妃

Day 日 - [ Δ活3 ] !危 D險 ( T運 0 )

Month 月 - [ Δ活4 ] !危 D險 ( T運 0 )

Year 年 - [ Δ活7 ]

05. Ronald Reagan 隆納雷根

Day 日 - [ Δ活7 ] !危 D險

Month 月 - [ Δ活7 ]

Year 年 - [ Δ活5 ] !危 D險

06. Grace Kelly 葛麗絲凱莉

Day 日 - [ Δ活3 ] !危 D險

Month 月 - [ Δ活4 ]

Year 年 - [ Δ活3 ]

07. Paul Walker 保羅沃克

Day 日 - [ Δ活3 ] !危 D險 ( T運 0 )

Month 月 - [ Δ活4 ]

Year 年 - [ Δ活2 ]

08. Roger Rodas 羅傑羅達斯

Day 日 - [ Δ活3 ] !危 D險

Month 月 - [ Δ活1 ]

Year 年 - [ Δ活1 ] !危 D險

09. Qasem Soleimani 卡西姆蘇雷曼尼

Day 日 - [ Δ活7 ] !危 D險

Month 月 - [ Δ活5 ] !危 D險

Year 年 - [ Δ活3 ]

10. Shen Yiming 沈一鳴

Day 日 - [ Δ活4 ] !危 D險

Month 月 - [ Δ活5 ]

Year 年 - [ Δ活5 ]

01. Abraham Lincoln 亞伯拉罕林肯

Day 日 - [ Δ活7 ] !危 D險 ( S偏 0 )

Month 月 - [ Δ活8 ] !危 D險

Year 年 - [ Δ活3 ] !危 D險

02. John F. Kennedy 約翰甘迺迪

Day 日 - [ Δ活9 ] !危 D險

Month 月 - [ Δ活10 ] ( T運 0 )

Year 年 - [ Δ活3 ]

03. Pope John Paul II 大教宗聖若望保祿二世

Day 日 - [ Δ活9 ] !危 D險

Month 月 - [ Δ活6 ]

Year 年 - [ Δ活3 ]

04. Princess Diana 黛安娜王妃

Day 日 - [ Δ活3 ] !危 D險 ( T運 0 )

Month 月 - [ Δ活4 ] !危 D險 ( T運 0 )

Year 年 - [ Δ活7 ]

05. Ronald Reagan 隆納雷根

Day 日 - [ Δ活7 ] !危 D險

Month 月 - [ Δ活7 ]

Year 年 - [ Δ活5 ] !危 D險

06. Grace Kelly 葛麗絲凱莉

Day 日 - [ Δ活3 ] !危 D險

Month 月 - [ Δ活4 ]

Year 年 - [ Δ活3 ]

07. Paul Walker 保羅沃克

Day 日 - [ Δ活3 ] !危 D險 ( T運 0 )

Month 月 - [ Δ活4 ]

Year 年 - [ Δ活2 ]

08. Roger Rodas 羅傑羅達斯

Day 日 - [ Δ活3 ] !危 D險

Month 月 - [ Δ活1 ]

Year 年 - [ Δ活1 ] !危 D險

09. Qasem Soleimani 卡西姆蘇雷曼尼

Day 日 - [ Δ活7 ] !危 D險

Month 月 - [ Δ活5 ] !危 D險

Year 年 - [ Δ活3 ]

10. Shen Yiming 沈一鳴

Day 日 - [ Δ活4 ] !危 D險

Month 月 - [ Δ活5 ]

Year 年 - [ Δ活5 ]

01. Abraham Lincoln 亞伯拉罕林肯

Day 日 - [ Δ活7 ] !危 D險 ( S偏 0 )

Month 月 - [ Δ活8 ] !危 D險

Year 年 - [ Δ活3 ] !危 D險

Abraham Lincoln

Date of Birth: 1809/02/12

Bi-Hour Time of Birth:

#07 Bi-Hour 11:00 a.m. - 13:00 p.m. (Noon)

Date of Death to be assassinated: 1865/04/14

亞伯拉罕林肯

出生日期: 1809/02/12

出生兩小時段時間:

#07 兩小時段 11:00 a.m. - 13:00 p.m. (中午)

被暗殺死亡日期: 1865/04/14

https://youtu.be/LaWkpElKlw4

02. John F. Kennedy 約翰甘迺迪

Day 日 - [ Δ活9 ] !危 D險

Month 月 - [ Δ活10 ] ( T運 0 )

Year 年 - [ Δ活3 ]

John F. Kennedy

Date of Birth: 1917/05/29

Bi-Hour Time of Birth:

#07 Bi-Hour 11:00 a.m. - 13:00 p.m. (Noon)

Date of Death to be assassinated: 1963/11/22

約翰甘迺迪

出生日期: 1917/05/29

出生兩小時段時間:

#07 兩小時段 11:00 a.m. - 13:00 p.m. (中午)

被暗殺死亡日期: 1963/11/22

03. Pope John Paul II 大教宗聖若望保祿二世

Day 日 - [ Δ活9 ] !危 D險

Month 月 - [ Δ活6 ]

Year 年 - [ Δ活3 ]

Pope John Paul II

Date of Birth: 1920/05/18

Bi-Hour Time of Birth:

#07 Bi-Hour 11:00 a.m. - 13:00 p.m. (Noon)

Date of Assassination to be critically wounded: 1981/05/13

大教宗聖若望保祿二世

出生日期: 1920/05/18

出生兩小時段時間:

#07 兩小時段 11:00 a.m. - 13:00 p.m. (中午)

被暗殺而嚴重受傷日期: 1981/05/13

04. Princess Diana 黛安娜王妃

Day 日 - [ Δ活3 ] !危 D險 ( T運 0 )

Month 月 - [ Δ活4 ] !危 D險 ( T運 0 )

Year 年 - [ Δ活7 ]

Princess Diana

Date of Birth: 1961/07/01

Bi-Hour Time of Birth:

#02 Bi-Hour 01:00 a.m. - 03:00 a.m. (Early Midnight)

Date of Death in a car crash: 1997/08/31

黛安娜王妃

出生日期: 1961/07/01

出生兩小時段時間:

#02 兩小時段 01:00 a.m. - 03:00 a.m. (今晨夜半)

車禍死亡日期: 1997/08/31

https://youtu.be/cM9AqN-YDQM

05. Ronald Reagan 隆納雷根

Day 日 - [ Δ活7 ] !危 D險

Month 月 - [ Δ活7 ]

Year 年 - [ Δ活5 ] !危 D險

Ronald Reagan

Date of Birth: 1911/02/06

Bi-Hour Time of Birth:

#04 Bi-Hour 05:00 a.m. - 07:00 a.m. (Dawn)

Date of Assassination to be wounded: 1981/03/30

隆納雷根

出生日期: 1911/02/06

出生兩小時段時間:

#04 兩小時段 05:00 a.m. - 07:00 a.m. (黎明破曉)

被暗殺而受傷日期: 1981/03/30

06. Grace Kelly 葛麗絲凱莉

Day 日 - [ Δ活3 ] !危 D險

Month 月 - [ Δ活4 ]

Year 年 - [ Δ活3 ]

Grace Kelly

Date of Birth: 1929/11/12

Bi-Hour Time of Birth:

#05 Bi-Hour 07:00 a.m. - 09:00 a.m. (Morning)

Date of Death due to a Traffic Accident: 1982/09/14

葛麗絲凱莉

出生日期: 1929/11/12

出生兩小時段時間:

#05 兩小時段 07:00 a.m. - 09:00 a.m. (早上)

車禍死亡日期: 1982/09/14

07. Paul Walker 保羅沃克

Day 日 - [ Δ活3 ] !危 D險 ( T運 0 )

Month 月 - [ Δ活4 ]

Year 年 - [ Δ活2 ]

Paul Walker

Date of Birth: 1973/12/12

Bi-Hour Time of Birth:

#10 Bi-Hour 17:00 p.m. – 19:00 p.m. (Nightfall)

Date of Death due to a Traffic Accident: 2013/11/30

保羅沃克

出生日期: 1973/12/12

出生兩小時段時間:

#10 Bi-Hour 17:00 p.m. - 19:00 p.m. (傍晚)

車禍死亡日期: 2013/11/30

https://youtu.be/GDvQjpyCSNI

08. Roger Rodas 羅傑羅達斯

Day 日 - [ Δ活3 ] !危 D險

Month 月 - [ Δ活1 ]

Year 年 - [ Δ活1 ] !危 D險

Roger Rodas

Date of Birth: 1975/10/31

Bi-Hour Time of Birth:

#07 Bi-Hour 11:00 a.m. - 13:00 p.m. (Noon)

Date of Death due to a Traffic Accident: 2013/11/30

羅傑羅達斯

出生日期: 1975/10/31

出生兩小時段時間:

#07 兩小時段 11:00 a.m. - 13:00 p.m. (中午)

車禍死亡日期: 2013/11/30

09. Qasem Soleimani 卡西姆蘇雷曼尼

Day 日 - [ Δ活7 ] !危 D險

Month 月 - [ Δ活5 ] !危 D險

Year 年 - [ Δ活3 ]

Qasem Soleimani

Date of Birth: 1957/03/11

Bi-Hour Time of Birth:

#03 Bi-Hour 03:00 a.m. – 05:00 a.m. (Dawn)

Date of Death to be assassinated: 2020/01/03

卡西姆蘇雷曼尼

出生日期: 1957/03/11

出生兩小時段時間:

#03 兩小時段 03:00 a.m. – 05:00 a.m. (黎明破曉)

被暗殺死亡日期: 2020/01/03

10. Shen Yiming 沈一鳴

Day 日 - [ Δ活4 ] !危 D險

Month 月 - [ Δ活5 ]

Year 年 - [ Δ活5 ]

Shen Yiming

Date of Birth: 1957/03/30

Bi-Hour Time of Birth:

#06 Bi-Hour 09:00 a.m. – 11:00 a.m. (Morning)

Date of Death in a helicopter crash: 2020/01/02

沈一鳴

出生日期: 1957/03/30

出生兩小時段時間:

#06 兩小時段 09:00 a.m. – 11:00 a.m. (早上)

直升機墜毀死亡日期: 2020/01/02

'Research and Development' since 1987-05-22

'研究與開發' 始於 1987 年 5 月 22 日

Official Website 1: (registered on 2017-06-08)

官網 1: (2017 年 6 月 8 日註冊)

Official Website 2: (registered on 2017-03-29)

官網 2: (2017 年 3 月 29 日註冊)

Videos 影片:

https://youtube.com/channel/UCyHT7YOQfGA7OObZk8v9ZvA

Media 媒體:

https://orionandhsu.blogspot.com/2021/06/the-governments-responsibilities-to.html

https://orionwebmuseum.blogspot.com/2021/06/the-governments-responsibilities-to.html

https://taiwanwebmuseum.blogspot.com/2021/06/the-governments-responsibilities-to.html

Case Studies of Timetable

時間表的實例研究

Human life is just an action role on the stage of the universe and galaxies, and is always supervised by the dark forces of the universe.

人類生活只是宇宙與銀河系舞台上的一個動作角色，永遠被宇宙的暗力量所監管。

All events of human life can be calculated by the dark forces of the universe and galaxies.

人類生活的一切事件都可以透過宇宙和銀河系的暗力量來計算。

What time is your personal special moment?

You are 'easy to get sick, or get hurt, or get killed' with formation of "Quantum Nano level Breakthrough Gap of the Human Magnetic Field's Protective Circle Shield" (that is, 'disease and life-dangers'.)

甚麼時間是您個人的特殊時刻？

您是「容易生病、或是受傷、或是死亡。」，形成「量子奈米級的人體磁場保護圈防護罩破口」(亦即，「疫病與生命危險」)。

Δ活

Active 'Δ活'

活躍的 'Δ活'

Δ活 - Active Bi-Hour Time

Δ活 - 活躍的兩小時段

#01 - #12 Symbols of Bi-Hour Time:

#01 Bi-Hour 23:00 p.m. – 01:00 a.m. (Last Night - Early Midnight)

#02 Bi-Hour 01:00 a.m. – 03:00 a.m. (Early Midnight)

#03 Bi-Hour 03:00 a.m. – 05:00 a.m. (Dawn)

#04 Bi-Hour 05:00 a.m. – 07:00 a.m. (Dawn)

#05 Bi-Hour 07:00 a.m. – 09:00 a.m. (Morning)

#06 Bi-Hour 09:00 a.m. – 11:00 a.m. (Morning)

#07 Bi-Hour 11:00 a.m. – 13:00 p.m. (Noon)

#08 Bi-Hour 13:00 p.m. – 15:00 p.m. (Afternoon)

#09 Bi-Hour 15:00 p.m. – 17:00 p.m. (Afternoon)

#10 Bi-Hour 17:00 p.m. – 19:00 p.m. (Nightfall)

#11 Bi-Hour 19:00 p.m. – 21:00 p.m. (Night)

#12 Bi-Hour 21:00 p.m. – 23:00 p.m. (Midnight; After 23:00 p.m. = #01 Bi-Hour Tomorrow 23:00 p.m. #01 Bi-Hour)

#01 - #12 兩小時段之代碼符號:

#01 兩小時段 23:00 p.m. – 01:00 a.m. (前晚 - 今晨夜半)

#02 兩小時段 01:00 a.m. – 03:00 a.m. (今晨夜半)

#03 兩小時段 03:00 a.m. – 05:00 a.m. (黎明破曉)

#04 兩小時段 05:00 a.m. – 07:00 a.m. (黎明破曉)

#05 兩小時段 07:00 a.m. – 09:00 a.m. (早上)

#06 兩小時段 09:00 a.m. – 11:00 a.m. (早上)

#07 兩小時段 11:00 a.m. – 13:00 p.m. (中午)

#08 兩小時段 13:00 p.m. – 15:00 p.m. (下午)

#09 兩小時段 15:00 p.m. – 17:00 p.m. (下午)

#10 兩小時段 17:00 p.m. – 19:00 p.m. (傍晚)

#11 兩小時段 19:00 p.m. – 21:00 p.m. (晚上)

#12 兩小時段 21:00 p.m. – 23:00 p.m. (深夜; 深夜 23:00 p.m. 後是明日 #01 兩小時段)

Active Bi-Hour Time #01 - #12:

活躍的兩小時段 #01 - #12:

#02Δ活4 160 --- Negative Time 負向時間 *凶 M移

#06Δ活5 230 +++ Positive Time 正向時間 $財3 $財4 $財5 *凶 M移

#08Δ活3 340 +++ Positive Time 正向時間 X損 M移

#10Δ活4 240 +++ Positive Time 正向時間 X損 *凶 M移

Event Symbols of Bi-Hour Time #01 - #12

兩小時段 #01 - #12 的事件代碼符號

+++ Positive Time

+++ 正向時間

--- Negative Time

--- 負向時間

X損 - The Troublesome (Including Hospitalization or Penalty) or Money-Spending (Including Loss or Unfortunate Matter) Bi-Hour Time

X損 - 麻煩(含去醫院或罰單等)或金錢花費支出(含破財或不利等)之兩小時段

*凶 - The Dangerous Bi-Hour Time

*凶 - 易發生危險之兩小時段

M移 - The Bi-Hour Time to move Location

M移 - 位置移動之兩小時段

Δ活2

Second level of active grade

第二級別的活躍等級

Δ活3

Third level of active grade

第三級別的活躍等級

Δ活4

Fourth level of active grade

第四級別的活躍等級

Δ活5

Highest level of active grade

最高級別的活躍等級

TIMETABLE

時間表

The TIMETABLE of Active Bi-Hour Time #01 - #12:

活躍的兩小時段 #01 - #12 的時間表:

+/- Plus/Minus 30 Minutes

+/- 加減 30 分鐘

The Destined Scheduled Time (+/- Plus/Minus 30 Minutes):

先天命中註定時間 (+/- 加減 30 分鐘):

#02Δ活5 320 --- Negative Time 負向時間 *凶 M移

02:15:50 a.m. Early Midnight in the Morning 今晨夜半

01:10:50 a.m. Early Midnight in the Morning 今晨夜半

02:15:50 a.m. Early Midnight in the Morning 今晨夜半

01:00:00 a.m. Early Midnight in the Morning 今晨夜半

02:26:40 a.m. Early Midnight in the Morning 今晨夜半

Dangerous combination of event symbols

事件代碼符號的危險組合

!危 D險

!危 D險 [Day 日] + !危 D險 [Month 月]

!危 D險 [Day 日] + !危 D險 [Year 年]

!危 D險 [Day 日] + !危 D險 [Month 月] + !危 D險 [Year 年]

( T運 0 ) [Day 日/Month 月/Year 年] + !危 D險

( S偏 0 ) [Day 日/Month 月/Year 年] + !危 D險

Dangerous combination of event symbols in the Active Bi-Hour Time #01 - #12:

於活躍的兩小時段 #01 - #12 的事件代碼符號之危險組合

*凶 M移

--- Negative Time 負向時間 M移

#01 - #12 兩小時段之代碼符號 Symbols of Bi-Hour Time:

#01 Bi-Hour PM 23:00–AM 01:00 (Last Night 前晚 - Early Midnight 今晨夜半)

#02 Bi-Hour AM 01:00–AM 03:00 (Early Midnight 今晨夜半)

#03 Bi-Hour AM 03:00–AM 05:00 (Dawn 黎明破曉)

#04 Bi-Hour AM 05:00–AM 07:00 (Dawn 黎明破曉)

#05 Bi-Hour AM 07:00–AM 09:00 (Morning 早上)

#06 Bi-Hour AM 09:00–AM 11:00 (Morning 早上)

#07 Bi-Hour AM 11:00–PM 13:00 (Noon 中午)

#08 Bi-Hour PM 13:00–PM 15:00 (Afternoon 下午)

#09 Bi-Hour PM 15:00–PM 17:00 (Afternoon 下午)

#10 Bi-Hour PM 17:00–PM 19:00 (Nightfall 傍晚)

#11 Bi-Hour PM 19:00–PM 21:00 (Night 晚上)

#12 Bi-Hour PM 21:00–PM 23:00 (Midnight 深夜; After PM 23:00 = #01 Bi-Hour Tomorrow 深夜 PM 23:00 後是明日 #01 Bi-Hour)

Case Studies

實例研究

Case Studies of Timetable

時間表的實例研究

01. Abraham Lincoln 亞伯拉罕林肯

02. John F. Kennedy 約翰甘迺迪

03. Pope John Paul II 大教宗聖若望保祿二世

04. Princess Diana 黛安娜王妃

05. Ronald Reagan 隆納雷根

06. Grace Kelly 葛麗絲凱莉

07. Paul Walker 保羅沃克

08. Roger Rodas 羅傑羅達斯

09. Qasem Soleimani 卡西姆蘇雷曼尼

10. Shen Yiming 沈一鳴

01. Abraham Lincoln 亞伯拉罕林肯

Abraham Lincoln

Date of Birth: 1809/02/12

Bi-Hour Time of Birth:

#07 Bi-Hour 11:00 a.m. - 13:00 p.m. (Noon)

Date of Death to be assassinated: 1865/04/14

Timetable: About 20:30 p.m. [#11 Bi-Hour 19:00 p.m. – 21:00 p.m. (Night)], Lincoln arrived at the Ford's Theatre where the assassinator John Wilkes Booth had been waiting for him.

亞伯拉罕林肯

出生日期: 1809/02/12

出生兩小時段時間:

#07 兩小時段 11:00 a.m. - 13:00 p.m. (中午)

被暗殺死亡日期: 1865/04/14

時間表：大約晚上 20:30 p.m. [#11 兩小時段 19:00 p.m. – 21:00 p.m. (晚上)]，林肯抵達福特劇院，暗殺者約翰·威爾克斯·布斯 (John Wilkes Booth) 已經在那裡等他。

02. John F. Kennedy 約翰甘迺迪

John F. Kennedy

Date of Birth: 1917/05/29

Bi-Hour Time of Birth:

#07 Bi-Hour 11:00 a.m. - 13:00 p.m. (Noon)

Date of Death to be assassinated: 1963/11/22

Timetable: At 10:40 a.m. [#06 Bi-Hour 09:00 a.m. – 11:00 a.m. (Morning)], Kennedy departed Hotel Texas for Carswell Air Force Base to fly to Dallas, Texas where the assassinator Lee Harvey Oswald had been waiting for him. At 13:00 p.m. [#08 Bi-Hour 13:00 p.m. – 15:00 p.m. (Afternoon)], Kennedy was officially pronounced dead.

約翰甘迺迪

出生日期: 1917/05/29

出生兩小時段時間:

#07 兩小時段 11:00 a.m. - 13:00 p.m. (中午)

被暗殺死亡日期: 1963/11/22

時間表：上午 10:40 a.m. [#06 兩小時段 09:00 a.m. – 11:00 a.m. (早上)]，甘迺迪離開德克薩斯酒店前往卡斯維爾空軍基地飛往德克薩斯州達拉斯，暗殺者李·哈維·奧斯華已經在那裡等他。下午 13:00 p.m. [#08 兩小時段 13:00 p.m. – 15:00 p.m. (下午)]，甘迺迪被正式宣布死亡。

03. Pope John Paul II 大教宗聖若望保祿二世

Pope John Paul II

Date of Birth: 1920/05/18

Bi-Hour Time of Birth:

#07 Bi-Hour 11:00 a.m. - 13:00 p.m. (Noon)

Date of Assassination to be critically wounded: 1981/05/13

Timetable: When the Pope passed through a crowd of supporters, the assassinator Ağca fired four shots at 17:17 p.m. [#10 Bi-Hour 17:00 p.m. – 19:00 p.m. (Nightfall)], and critically wounded him.

大教宗聖若望保祿二世

出生日期: 1920/05/18

出生兩小時段時間:

#07 兩小時段 11:00 a.m. - 13:00 p.m. (中午)

被暗殺而嚴重受傷日期: 1981/05/13

時間表：當大教宗穿過一群支持者時，暗殺者阿卡在傍晚 17:17 p.m. [#10 兩小時段 17:00 p.m. – 19:00 p.m. (傍晚)] 開了四槍，並重傷了他。

04. Princess Diana 黛安娜王妃

Princess Diana

Date of Birth: 1961/07/01

Bi-Hour Time of Birth:

#02 Bi-Hour 01:00 a.m. - 03:00 a.m. (Early Midnight)

Date of Death in a car crash: 1997/08/31

Timetable: At 00:23 a.m. [#01 Bi-Hour 23:00 p.m. – 01:00 a.m. (Last Night - Early Midnight)], Diana's driver Paul lost control of the vehicle at the entrance to the Pont de l'Alma tunnel and the car was crashed. Diana was moved to the SAMU ambulance, left the scene at 01:41 a.m. [#02 Bi-Hour 01:00 a.m. – 03:00 a.m. (Early Midnight)] and arrived at the Pitié-Salpêtrière Hospital at 02:06 a.m. [#02 Bi-Hour 01:00 a.m. – 03:00 a.m. (Early Midnight)]. Diana later died at the hospital.

黛安娜王妃

出生日期: 1961/07/01

出生兩小時段時間:

#02 兩小時段 01:00 a.m. - 03:00 a.m. (今晨夜半)

車禍死亡日期: 1997/08/31

時間表：在 00:23 a.m. [#01 兩小時段 23:00 p.m. – 01:00 a.m. (前晚 - 今晨夜半)]，戴安娜的司機保羅在 Pont de l'Alma 隧道入口處失去對車輛的控制，汽車墜毀。戴安娜被移至 SAMU 救護車上，於 01:41 a.m. [#02 兩小時段 01:00 a.m. – 03:00 a.m. (今晨夜半)] 離開現場，並於 02:06 a.m. [#02 兩小時段 01:00 a.m. – 03:00 a.m. (今晨夜半)] 抵達 Pitié-Salpêtrière 醫院。戴安娜後來在醫院去世。

05. Ronald Reagan 隆納雷根

Ronald Reagan

Date of Birth: 1911/02/06

Bi-Hour Time of Birth:

#04 Bi-Hour 05:00 a.m. - 07:00 a.m. (Dawn)

Date of Assassination to be wounded: 1981/03/30

Timetable: At 14:27 p.m. [#08 Bi-Hour 13:00 p.m. – 15:00 p.m. (Afternoon)], Reagan exited the hotel through "President's Walk" on Florida Avenue. The assassinator Hinckley fired a Röhm RG-14 .22 LR blue steel revolver six times in 1.7 seconds. The sixth and final bullet hit the president in the left underarm.

隆納雷根

出生日期: 1911/02/06

出生兩小時段時間:

#04 兩小時段 05:00 a.m. - 07:00 a.m. (黎明破曉)

被暗殺而受傷日期: 1981/03/30

時間表：於下午 14:27 p.m. [#08 兩小時段 13:00 p.m. – 15:00 p.m. (下午)]，雷根通過佛羅里達大道上的 “總統步道” 離開了酒店。暗殺者辛克利在 1.7 秒內用 Röhm RG-14 .22 LR 藍鋼左輪手槍發射了六次。第六顆也是最後一顆子彈擊中了總統左腋下。

06. Grace Kelly 葛麗絲凱莉

Grace Kelly

Date of Birth: 1929/11/12

Bi-Hour Time of Birth:

#05 Bi-Hour 07:00 a.m. - 09:00 a.m. (Morning)

Date of Death due to a Traffic Accident: 1982/09/14

Timetable: Kelly and her daughter Stéphanie were taken to the hospital after a traffic accident. Kelly died at 22:55 p.m. [#12 Bi-Hour 21:00 p.m. – 23:00 p.m. (Midnight; After 23:00 p.m. = #01 Bi-Hour Tomorrow 23:00 p.m. #01 Bi-Hour)] on 1982/09/14 after her husband Rainier decided to turn off her life support.

葛麗絲凱莉

出生日期: 1929/11/12

出生兩小時段時間:

#05 兩小時段 07:00 a.m. - 09:00 a.m. (早上)

車禍死亡日期: 1982/09/14

時間表：凱莉和她的女兒斯蒂芬妮在一場車禍後被送往醫院。在她的丈夫雷尼爾決定關閉她的生命維持系統之後，凱莉於 1982 年 9 月 14 日晚上 22:55 p.m. [#12 兩小時段 21:00 p.m. – 23:00 p.m. (深夜; 深夜 23:00 p.m. 後是明日 #01 兩小時段)] 去世。

07. Paul Walker 保羅沃克

Paul Walker

Date of Birth: 1973/12/12

Bi-Hour Time of Birth:

#10 Bi-Hour 17:00 p.m. – 19:00 p.m. (Nightfall)

Date of Death due to a Traffic Accident: 2013/11/30

Timetable: At about 15:26 p.m. [#09 Bi-Hour 15:00 p.m. – 17:00 p.m. (Afternoon)], Walker and Roger Rodas left an event for Walker's charity Reach Out Worldwide with Rodas driving. On Hercules Street near Kelly Johnson Parkway in Valencia, Santa Clarita, California, the car crashed into a concrete lamp post and two trees subsequently setting fire to the vehicle. Walker died from the combined effects of trauma and burns.

保羅沃克

出生日期: 1973/12/12

出生兩小時段時間:

#10 Bi-Hour 17:00 p.m. - 19:00 p.m. (傍晚)

車禍死亡日期: 2013/11/30

時間表：於下午 15:26 p.m. [#09 兩小時段 15:00 p.m. – 17:00 p.m. (下午)] 左右，沃克和羅傑羅達斯在羅達斯的駕駛下離開了沃克的覆蓋全球慈善活動。在加利福尼亞州聖克拉麗塔的瓦倫西亞靠近凱利約翰遜公園大道附近的大力士街上，汽車撞上了一根混凝土燈柱與兩棵樹，隨後車輛著火了。沃克死於創傷和燒傷的綜合效果。

08. Roger Rodas 羅傑羅達斯

Roger Rodas

Date of Birth: 1975/10/31

Bi-Hour Time of Birth:

#07 Bi-Hour 11:00 a.m. - 13:00 p.m. (Noon)

Date of Death due to a Traffic Accident: 2013/11/30

Timetable: At about 15:26 p.m. [#09 Bi-Hour 15:00 p.m. – 17:00 p.m. (Afternoon)], Rodas and Paul Walker left an event for Walker's charity Reach Out Worldwide with Rodas driving. On Hercules Street near Kelly Johnson Parkway in Valencia, Santa Clarita, California, the car crashed into a concrete lamp post and two trees subsequently setting fire to the vehicle. Rodas died of multiple trauma.

羅傑羅達斯

出生日期: 1975/10/31

出生兩小時段時間:

#07 兩小時段 11:00 a.m. - 13:00 p.m. (中午)

車禍死亡日期: 2013/11/30

時間表：於下午 15:26 p.m. [#09 兩小時段 15:00 p.m. – 17:00 p.m. (下午)] 左右，羅達斯和保羅沃克在羅達斯的駕駛下離開了沃克的覆蓋全球慈善活動。在加利福尼亞州聖克拉麗塔的瓦倫西亞靠近凱利約翰遜公園大道附近的大力士街上，汽車撞上了一根混凝土燈柱與兩棵樹，隨後車輛著火了。羅達斯死於多重創傷。

09. Qasem Soleimani 卡西姆蘇雷曼尼

Qasem Soleimani

Date of Birth: 1957/03/11

Bi-Hour Time of Birth:

#03 Bi-Hour 03:00 a.m. – 05:00 a.m. (Dawn)

Date of Death to be assassinated: 2020/01/03

Timetable: Soleimani was assassinated on 2020/01/03 around 01:00 a.m. [#02 Bi-Hour 01:00 a.m. – 03:00 a.m. (Early Midnight)] by U.S. drone strike near Baghdad International Airport.

卡西姆蘇雷曼尼

出生日期: 1957/03/11

出生兩小時段時間:

#03 兩小時段 03:00 a.m. – 05:00 a.m. (黎明破曉)

被暗殺死亡日期: 2020/01/03

時間表：蘇雷曼尼於 2020/01/03 凌晨 01:00 a.m. [#02 兩小時段 01:00 a.m. – 03:00 a.m. (今晨夜半)] 左右被美國無人機在巴格達國際機場附近空襲時暗殺。

10. Shen Yiming 沈一鳴

Shen Yiming

Date of Birth: 1957/03/30

Bi-Hour Time of Birth:

#06 Bi-Hour 09:00 a.m. – 11:00 a.m. (Morning)

Date of Death in a helicopter crash: 2020/01/02

Timetable: Shen Yiming was killed in a helicopter crash on 2020/01/02 in the Wulai Mountain area of New Taipei city. Shen Yiming's Black Hawk helicopter took off at 07:55 a.m. [#05 Bi-Hour 07:00 a.m. – 09:00 a.m. (Morning)] and lost contact with Songshan Air Force Base at 08:07 a.m. [#05 Bi-Hour 07:00 a.m. – 09:00 a.m. (Morning)].

沈一鳴

出生日期: 1957/03/30

出生兩小時段時間:

#06 兩小時段 09:00 a.m. – 11:00 a.m. (早上)

直升機墜毀死亡日期: 2020/01/02

時間表：沈一鳴於 2020 年 1 月 2 日在新北市烏來山區的直升機墜毀事故中喪生。沈一鳴搭乘的黑鷹直升機是在早上 07:55 a.m. [#05 兩小時段 07:00 a.m. – 09:00 a.m. (早上)] 起飛，於 08:07 a.m. [#05 兩小時段 07:00 a.m. – 09:00 a.m. (早上)] 與松山空軍基地失去聯繫。

'Research and Development' since 1987-05-22

'研究與開發' 始於 1987 年 5 月 22 日

Official Website 1: (registered on 2017-06-08)

官網 1: (2017 年 6 月 8 日註冊)

Official Website 2: (registered on 2017-03-29)

官網 2: (2017 年 3 月 29 日註冊)

Videos 影片:

https://youtube.com/channel/UCyHT7YOQfGA7OObZk8v9ZvA

Media 媒體:

https://orionandhsu.blogspot.com/2021/06/the-governments-responsibilities-to.html

https://orionwebmuseum.blogspot.com/2021/06/the-governments-responsibilities-to.html

https://taiwanwebmuseum.blogspot.com/2021/06/the-governments-responsibilities-to.html

Modern all-in-one Noah's Ark

現代的全部一體化諾亞方舟

Modern all-in-one Noah's Ark

現代的全部一體化諾亞方舟

Operation Manual:

操作手冊:

Case Studies: (5 minutes)

實例研究: (五分鐘)

Case Studies: (6 minutes)

實例研究: (六分鐘)

https://youtube.com/shorts/OtpXg29K_xE?feature=share

The prediction information of personal 'list of the dates for disease (including Covid-19) and life-dangers in the next 100 days'

個人「於未來 100 日內的疫病 (含 Covid-19) 與生命危險日期名單」之預測資訊

The earth's magnetic field is the guardian of the earth, forming a protective circle shield to isolate the solar wind. The magnetic field of the human body is also the guardian of the human body, forming a protective circle shield to isolate the virus flow.

地球磁場是地球的守護者，形成隔離太陽風的保護圈防護罩。人體磁場也是人體的守護者，形成隔離病毒流的保護圈防護罩。

Which day is your personal special day? You are 'easy to get sick, or get hurt, or get killed' with formation of "Quantum Nanolevel Breakthrough Gap of the Human Magnetic Field's Protective Circle Shield" (that is, 'disease and life-dangers'.)

那一天是您個人的特別日？您是「容易生病、或是受傷、或是死亡。」，形成「量子奈米級的人體磁場保護圈防護罩破口」(亦即，「疫病與生命危險」)。

Understand your dates for disease (including Covid-19) and life-danger

了解自己的疫病 (包括 Covid-19) 和生命危險日期

The dates for disease (including Covid-19) and life-dangers in the next 100 days

於未來 100 日內的疫病 (含 Covid-19) 與生命危險日期

In the next 100 days

於未來 100 日內

Disease (including Covid-19) and life-dangers

疫病 (含 Covid-19) 與生命危險

!危

!危 - Attention carefully: The Life Dangerous Day (including the death of Covid-19 virus infection)

!危 - 注意小心: 生命危險日 (包含因 Covid-19病毒感染致死亡)

D險

D險 - The Life Dangerous Day (including the serious disease of Covid-19 virus infection)

D險 - 生命危險日 (包含因 Covid-19病毒感染致重症疾病)

H病

H病 - Attention carefully: The Unhealthy Day with Illness (including the disease of Covid-19 virus infection)

H病 - 注意小心: 疾病與不健康日 (包含因 Covid-19病毒感染致疾病)

Case Studies

實例研究

Case Studies

實例研究

Case Studies 實例研究

01. Abraham Lincoln 亞伯拉罕林肯

02. John F. Kennedy 約翰甘迺迪

03. Pope John Paul II 大教宗聖若望保祿二世

04. Princess Diana 黛安娜王妃

05. Charles de Gaulle 夏爾戴高樂

06. Grace Kelly 葛麗絲凱莉

07. Paul Walker 保羅沃克

08. Michael Jackson 麥可傑克森

09. Marilyn Monroe 瑪麗蓮夢露

10. Benito Mussolini 貝尼托墨索里尼

11. Franklin D. Roosevelt 富蘭克林羅斯福

12. Ronald Reagan 隆納雷根

13. Eva Perón 伊娃裴隆

14. Walt Disney 華德迪士尼

15. Coco Chanel 可可香奈兒

16. Ingrid Bergman 英格麗褒曼

17. Joseph Stalin 約瑟夫史達林

18. Maria Teresa de Borbon y Parma 西班牙紅公主

https://youtu.be/CVIce8Pixsc

01. Abraham Lincoln 亞伯拉罕林肯

Abraham Lincoln

Date of Birth: 1809/02/12

Bi-Hour Time of Birth:

#07 Bi-Hour 11:00 a.m. - 13:00 p.m. (Noon)

Date of Death to be assassinated: 1865/04/14

亞伯拉罕林肯

出生日期: 1809/02/12

出生兩小時段時間:

#07 兩小時段 11:00 a.m. - 13:00 p.m. (中午)

被暗殺死亡日期: 1865/04/14

02. John F. Kennedy 約翰甘迺迪

John F. Kennedy

Date of Birth: 1917/05/29

Bi-Hour Time of Birth:

#07 Bi-Hour 11:00 a.m. - 13:00 p.m. (Noon)

Date of Death to be assassinated: 1963/11/22

約翰甘迺迪

出生日期: 1917/05/29

出生兩小時段時間:

#07 兩小時段 11:00 a.m. - 13:00 p.m. (中午)

被暗殺死亡日期: 1963/11/22

03. Pope John Paul II 大教宗聖若望保祿二世

Pope John Paul II

Date of Birth: 1920/05/18

Bi-Hour Time of Birth:

#07 Bi-Hour 11:00 a.m. - 13:00 p.m. (Noon)

Date of Death: 2005/04/02

Date of first Assassination to be critically wounded: 1981/05/13

Date of second Assassination to be wounded: 1982/05/12

大教宗聖若望保祿二世

出生日期: 1920/05/18

出生兩小時段時間:

#07 兩小時段 11:00 a.m. - 13:00 p.m. (中午)

死亡日期: 2005/04/02

第一次被暗殺而嚴重受傷日期: 1981/05/13

第二次被暗殺而受傷日期: 1982/05/12

https://youtube.com/shorts/doeUFT7RNas?feature=share

04. Princess Diana 黛安娜王妃

Princess Diana

Date of Birth: 1961/07/01

Bi-Hour Time of Birth:

#02 Bi-Hour 01:00 a.m. - 03:00 a.m. (Early Midnight)

Date of Death in a car crash: 1997/08/31

黛安娜王妃

出生日期: 1961/07/01

出生兩小時段時間:

#02 兩小時段 01:00 a.m. - 03:00 a.m. (今晨夜半)

車禍死亡日期: 1997/08/31

05. Charles de Gaulle 夏爾戴高樂

Charles de Gaulle

Date of Birth: 1890/11/22

Bi-Hour Time of Birth:

#06 Bi-Hour 09:00 a.m. - 11:00 a.m. (Morning)

Date to be assassinated: 1962/08/22

夏爾戴高樂

出生日期: 1890/11/22

出生兩小時段時間:

#06 兩小時段 09:00 a.m. - 11:00 a.m. (早上)

被暗殺日期: 1962/08/22

06. Grace Kelly 葛麗絲凱莉

Grace Kelly

Date of Birth: 1929/11/12

Bi-Hour Time of Birth:

#05 Bi-Hour 07:00 a.m. - 09:00 a.m. (Morning)

Date of Death due to a Traffic Accident: 1982/09/14

葛麗絲凱莉

出生日期: 1929/11/12

出生兩小時段時間:

#05 兩小時段 07:00 a.m. - 09:00 a.m. (早上)

車禍死亡日期: 1982/09/14

https://youtube.com/shorts/8ci0-86Cb5k?feature=share

07. Paul Walker 保羅沃克

Paul Walker

Date of Birth: 1973/12/12

Bi-Hour Time of Birth:

#10 Bi-Hour 17:00 p.m. - 19:00 p.m. (Nightfall)

Date of Death due to a Traffic Accident: 2013/11/30

保羅沃克

出生日期: 1973/12/12

出生兩小時段時間:

#10 Bi-Hour 17:00 p.m. - 19:00 p.m. (傍晚)

車禍死亡日期: 2013/11/30

08. Michael Jackson 麥可傑克森

Michael Jackson

Date of Birth: 1958/08/29

Bi-Hour Time of Birth:

#12 Bi-Hour 21:00 p.m. - 23:00 p.m. (Midnight)

Date of Death: 2009/06/25

麥可傑克森

出生日期: 1958/08/29

出生兩小時段時間:

#12 兩小時段 21:00 p.m. - 23:00 p.m. (深夜)

死亡日期: 2009/06/25

09. Marilyn Monroe 瑪麗蓮夢露

Marilyn Monroe

Date of Birth: 1926/06/01

Bi-Hour Time of Birth:

#02 Bi-Hour 01:00 a.m. - 03:00 a.m. (Early Midnight)

Date of Death: 1962/08/05

瑪麗蓮夢露

出生日期: 1926/06/01

出生兩小時段時間:

#02 兩小時段 01:00 a.m. - 03:00 a.m. (今晨夜半)

死亡日期: 1962/08/05

https://youtube.com/shorts/K1pzeaqfwJw?feature=share

10. Benito Mussolini 貝尼托墨索里尼

Benito Mussolini

Date of Birth: 1883/07/29

Bi-Hour Time of Birth:

#12 Bi-Hour 21:00 p.m. - 23:00 p.m. (Midnight)

Date to be shot and executed to Death: 1945/04/28

貝尼托墨索里尼

出生日期: 1883/07/29

出生兩小時段時間:

#12 兩小時段 21:00 p.m. - 23:00 p.m. (深夜)

被槍斃處決死亡日期: 1945/04/28

11. Franklin D. Roosevelt 富蘭克林羅斯福

Franklin D. Roosevelt

Date of Birth: 1882/01/30

Bi-Hour Time of Birth:

#08 Bi-Hour 13:00 p.m. - 15:00 p.m. (Afternoon)

Date of Death: 1945/04/12

富蘭克林羅斯福

出生日期: 1882/01/30

出生兩小時段時間:

#08 兩小時段 13:00 p.m. - 15:00 p.m. (下午)

死亡日期: 1945/04/12

12. Ronald Reagan 隆納雷根

Ronald Reagan

Date of Birth: 1911/02/06

Bi-Hour Time of Birth:

#04 Bi-Hour 05:00 a.m. - 07:00 a.m. (Dawn)

Date of Death: 2004/06/05

隆納雷根

出生日期: 1911/02/06

出生兩小時段時間:

#04 兩小時段 05:00 a.m. - 07:00 a.m. (黎明破曉)

死亡日期: 2004/06/05

https://youtube.com/shorts/NIabcshOtaA?feature=share

13. Eva Perón 伊娃裴隆

Eva Perón

Date of Birth: 1919/05/07

Bi-Hour Time of Birth:

#02 Bi-Hour 01:00 a.m. - 03:00 a.m. (Early Midnight)

Date of Death: 1952/07/26

伊娃裴隆

出生日期: 1919/05/07

出生兩小時段時間:

#02 兩小時段 01:00 a.m. - 03:00 a.m. (今晨夜半)

死亡日期: 1952/07/26

14. Walt Disney 華德迪士尼

Walt Disney

Date of Birth: 1901/12/05

Bi-Hour Time of Birth:

#08 Bi-Hour 13:00 p.m. - 15:00 p.m. (Afternoon)

Date of Death: 1966/12/15

華德迪士尼

出生日期: 1901/12/05

出生兩小時段時間:

#08 兩小時段 13:00 p.m. - 15:00 p.m. (下午)

死亡日期: 1966/12/15

15. Coco Chanel 可可香奈兒

Coco Chanel

Date of Birth: 1883/08/19

Bi-Hour Time of Birth:

#05 Bi-Hour 07:00 a.m. - 09:00 a.m. (Morning)

Date of Death: 1971/01/10

可可香奈兒

出生日期: 1883/08/19

出生兩小時段時間:

#05 兩小時段 07:00 a.m. - 09:00 a.m. (早上)

死亡日期: 1971/01/10

https://youtube.com/shorts/YW6J8tgXSbg?feature=share

16. Ingrid Bergman 英格麗褒曼

Ingrid Bergman

Date of Birth: 1915/08/29

Bi-Hour Time of Birth:

#01 Bi-Hour 23:00 p.m. Last Night - 01:00 a.m. (Last Night - Early Midnight)

Date of Death: 1982/08/29

英格麗褒曼

出生日期: 1915/08/29

出生兩小時段時間:

#01 兩小時段 23:00 p.m. 前晚 - 01:00 a.m. (前晚 - 今晨夜半)

死亡日期: 1982/08/29

17. Joseph Stalin 約瑟夫史達林

Joseph Stalin

Date of Birth: 1878/12/18

Bi-Hour Time of Birth:

#12 Bi-Hour 21:00 p.m. - 23:00 p.m. (Midnight)

Date of Death: 1953/03/05

約瑟夫史達林

出生日期: 1878/12/18

出生兩小時段時間:

#12 兩小時段 21:00 p.m. - 23:00 p.m. (深夜)

死亡日期: 1953/03/05

18. Maria Teresa de Borbon y Parma 西班牙紅公主

Maria Teresa de Borbon y Parma

Date of Birth: 1933/07/28

Bi-Hour Time of Birth:

#01 Bi-Hour 23:00 p.m. Last Night - 01:00 a.m. (Last Night - Early Midnight)

Date of Death due to Coronavirus Covid-19: 2020/03/26

西班牙紅公主

出生日期: 1933/07/28

出生兩小時段時間:

#01 兩小時段 23:00 p.m. 前晚 - 01:00 a.m. (前晚 - 今晨夜半)

因 Covid-19 冠狀病毒而死亡日期: 2020/03/26

'Research and Development' since 1987-05-22

'研究與開發' 始於 1987 年 5 月 22 日

Official Website 1: (registered on 2017-06-08)

官網 1: (2017 年 6 月 8 日註冊)

Official Website 2: (registered on 2017-03-29)

官網 2: (2017 年 3 月 29 日註冊)

Videos 影片:

https://youtube.com/channel/UCyHT7YOQfGA7OObZk8v9ZvA

Media 媒體:

https://orionandhsu.blogspot.com/2021/06/the-governments-responsibilities-to.html

https://orionwebmuseum.blogspot.com/2021/06/the-governments-responsibilities-to.html

https://taiwanwebmuseum.blogspot.com/2021/06/the-governments-responsibilities-to.html

官網 Official Website:

Modern all-in-one Noah's Ark

現代的全部一體化諾亞方舟

...

Modern all-in-one Noah's Ark

Modern all-in-one Noah's Ark

Noah's Ark is the vessel in the Genesis flood narrative through which God spares Noah, his family, and examples of all the world's animals from a world-engulfing flood.

(2021/07/18 REUTERS) Death toll rises to 170 in Germany and Belgium floods.

(2021/07/01 REUTERS) Deaths surge in U.S. and Canada from worst heatwave on record.

(VANCOUVER/PORTLAND, June 30, 2021 Reuters) - A heatwave that smashed all-time high temperature records in western Canada and the U.S. Northwest has left a rising death toll in its wake as officials brace for more sizzling weather and the threat of wildfires.

The worst of the heat had passed by Wednesday, but the state of Oregon reported 63 deaths linked to the heatwave. Multnomah County, which includes Portland, reported 45 of those deaths since Friday, with the county Medical Examiner citing hyperthermia as the preliminary cause.

In British Columbia, at least 486 sudden deaths were reported over five days, nearly three times the usual number that would occur in the province over that period, the B.C. Coroners Service said Wednesday.

In Washington, U.S. President Joe Biden said climate change was driving 'a dangerous confluence of extreme heat and prolonged drought', warning that the United States was behind in preparing for what could be a record number of forest fires this year.

(2021/07/15 PTS News) Hualien Earthquake continues to accumulate 42 earthquakes in a day. Earthquake Center: Two abnormal phenomena

(2021/07/15 Nikkei Asia News) Cumulative global Covid-19 cases have reached 188,271,102, according to Johns Hopkins University in Baltimore. The worldwide death toll has hit 4,056,824.

(2021/07/06 CBS NEWS) Fourth of July weekend saw a rise gun violence – with more than 180 people killed and 516 injured in shootings across the U.S., according to data from Gun Violence Archive.

The above are all events of disease (including Covid-19) and life-danger.

Our computer artificial intelligence can be used as a modern all-in-one Noah's Ark, which can notify you in advance of the dates with all events of disease (including Covid-19) and life-danger as described above.

It is specially designed for you to understand your own dates for disease (including Covid-19) and life-danger to prevent misfortunes from happening.

現代的全部一體化諾亞方舟

諾亞方舟是創世紀洪水故事中的船舟，上帝通過它讓諾亞、他的家人以及世界上所有動物免於一場席捲世界的洪水災難。

(2021/07/18 路透社) 德國和比利時洪災死亡人數升至170人。

(2021/07/01 路透社) 美國和加拿大的死亡人數因有記錄以來最嚴重的熱浪而激增。

(溫哥華/波特蘭，2021 年 6 月 30 日 路透社) 隨著官員們準備迎接更加炎熱的天氣和野火的威脅，一場打破加拿大西部和美國西北部歷史最高氣溫記錄的熱浪導致死亡人數不斷上升。

最嚴重的高溫已經在周三過去了，但俄勒岡州報告稱有 63 人死於熱浪。包括波特蘭在內的摩特諾瑪縣自周五以來報告了 45 例死亡病例，該縣法醫將體溫過高列為首要原因。

在不列顛哥倫比亞省，五天內至少報告了 486 例猝死，幾乎是該省在此期間發生的通常死亡人數的三倍，驗屍官服務中心週三表示。

在華盛頓，美國總統喬拜登表示，氣候變化正在推動 '極端高溫和長期乾旱的危險融合'，並警告說美國在準備應付今年可能創紀錄的森林火災方面落後。

(2021/07/15 公視新聞網) 花蓮地震不斷一天累積42起，地震中心：兩現象異常。

(2021/07/15 日經亞洲新聞) 根據巴爾的摩約翰霍普金斯大學的數據，全球 Covid-19 累計病例已達到 188,271,102。全球死亡人數已達到 4,056,824。

(2021/07/06 美國 CBS 電視網新聞) 根據槍支暴力檔案的數據，美國 2021 年 7 月 4 日的周末發生了升高的槍支暴力事件，美國各地的槍擊事件造成 180 多人死亡，516 人受傷。

以上都是疫病 (包括 Covid-19) 和生命危險事件。

我們的電腦人工智慧能作為現代的全部一體化諾亞方舟，可以預先通知您如同上面敘述之所有的疫病 (包括 Covid-19) 和生命危險日期。

它是特別為您了解自己的疫病 (包括 Covid-19) 和生命危險日期而設計，以防止不幸發生。

...

The newest way to avoid Covid-19 virus infection

避免 Covid-19 病毒感染的最新奇方法

Use Computer Artificial Intelligence

使用電腦人工智慧

Operation Manual

操作手冊

The Progress of Civilization

文明的進步

Yesterday

Today

Tomorrow

Past Days

Present Days

Future Days

100 Days

昨天

今天

明天

過去的日子

現在的日子

未來的日子

100 天

Disease (including Covid-19) and Life-dangers

疫病 (含 Covid-19) 與生命危險

The prediction information of personal 'list of the dates for disease (including Covid-19) and life-dangers in the next 100 days'

個人「於未來 100 日內的疫病 (含 Covid-19) 與生命危險日期名單」之預測資訊

H病

Attention carefully: The Unhealthy Day with Illness (including the disease of Covid-19 virus infection)

H病

注意小心：疾病與不健康日 (包含因 Covid-19 病毒感染致疾病)

!危

Attention carefully: The Life Dangerous Day (including the death of Covid-19 virus infection)

!危

注意小心：生命危險日 (包含因 Covid-19 病毒感染致死亡)

D險

The Life Dangerous Day (including the serious disease of Covid-19 virus infection)

D險

生命危險日 (包含因 Covid-19 病毒感染致重症疾病)

Input Screen (Left)

操作畫面 (左)

Select

Gender

(1 Male / 0 Female)

選擇

性別

(1 男性 / 0 女性)

Select

Birth Year

Birth Month

Birth Day

選擇

出生年

出生月

出生日

Select

Birth Bi-Hour Time

#01 ~ #12

選擇

出生兩小時段時間

#01 ~ #12

Select

The Beginning Date

of 100 days

選擇

100 天的

開始日期

Input

Password

輸入

密碼

Press 'Submit Button'

按 '開始鍵'

Data Confirm Screen (Right)

確認資料畫面 (右)

Press 'Answer Button'

按 '答案鍵'

Answer Screen (Right)

答案畫面 (右)

Scroll Down to Bottom

螢幕往下滑動至底

Answer Dates

答案日期

The 100% full vaccination rate in a herd community and the theory of herd immunity actually can't prevent being infected by the COVID-19 virus.

一個群體社區的 100% 全面疫苗接種率和群體免疫理論實際上並不能防止被 COVID-19 病毒感染。

...

(14 July 2021 U.K. BBC News) U.K. HMS Queen Elizabeth: Covid-19 outbreak on Navy flagship

An outbreak of Covid-19 has been confirmed on the Royal Navy's flagship, HMS Queen Elizabeth. The BBC has been told there have been around 100 cases on the aircraft carrier.

Several other warships in the fleet accompanying it are also affected.

Defence Secretary Ben Wallace said all crew on the deployment had received two doses of a Covid-19 vaccine.

Remarks:

This ship has a crew of about 700, increasing to 1,600 when a full complement of F-35B jets and Crowsnest helicopters are embarked.

Thus the infection rate is around 6.25% - 14.28% in a closed and isolated human herd that had received two doses of a Covid-19 vaccine.

Therefore both the 100% full vaccination rate in a herd community and the theory of herd immunity just DON'T WORK in the front line of battle against Covid-19 at all.

It's certain that the 100% full vaccination rate in a herd community and the theory of herd immunity actually can't prevent being infected by the COVID-19 virus.

The theory of herd immunity was just the fantastic idea of some false experts who sat by office desks and imagined how not to research in the front line of battle field.

The performance of vaccine in the laboratory of manufacturer's doesn't comply with that in the nature.

Our computer artificial intelligence has become a MUST for people to understand their dates for disease (including Covid-19) and life-danger, in order to prevent being infected by the COVID-19 virus.

It's also a MUST for military force to maintain the sea-worthiness of combat manpower. It's a protective WEAPON from the point of this view.

...

(2021 年 7 月 14 日英國廣播公司 BBC 新聞) 英國伊麗莎白女王號航空母艦：海軍旗艦上的 Covid-19 病毒爆發

英國皇家海軍的旗艦伊麗莎白女王號已經確認爆發了 Covid-19 病毒。英國廣播公司被告知，這艘航空母艦上大約有 100 起病例。

伴隨著它的艦隊中的其他幾艘戰艦也受到病毒感染。

英國國防部長本·華萊士說，部署中的所有船員都已經接種了兩劑 Covid-19 疫苗。

備註：

這艘船有大約 700 名船員，當全套 F-35B 噴射機和 Crowsnest 直升機上船時，船員將增加到 1,600 人。

因此，在已經接種兩劑 Covid-19 疫苗的封閉和隔離的人類群體中，感染率約為 6.25% - 14.28%。

因此，群體社區中 100% 的完全疫苗接種率和群體免疫理論在對抗 Covid-19 的作戰前線根本不起作用。

可以肯定的是，一個群體社區的 100% 全面疫苗接種率和群體免疫理論實際上並不能防止被 COVID-19 病毒感染。

群體免疫理論，不過是一些坐在辦公桌旁想著如何不在戰場前線研究的虛偽專家之奇幻主意。

疫苗在生產廠家實驗室中的性能表現與自然界中不符。

我們的電腦人工智慧已經成為人們了解疫病 (包括 Covid-19) 和生命危險日期的必備條件，以防止被 COVID-19 病毒感染。

這也是軍隊保持作戰人員適航性的必要條件。從這個角度來看，它是一種保護性的武器。

Are you sure that the vaccine can actually protect you from the Covid-19 virus?

The more people vaccinated, the more positive the test result will be given with the same number of deaths. This creates the false image that large-scale vaccination will greatly reduce severe illness and mortality.

July 8, 2021

Area Population

Vaccination Rate Positive Deaths

US New York State 19,453,561

72.8% 66.2% 607 3

Taiwan R.O.C. 23,860,768

11.96% 0.22% 21 3

(July 8, 2021) According to the email from U.S.A. New York State's Governor Andrew M. Cuomo:

1. COVID hospitalizations are at 347. Of the 98,677 tests reported yesterday, 607, or 0.68 percent, were positive. There were 80 patients in ICU (Intensive Care Unit) yesterday, 39 are intubated. Sadly, we lost three New Yorkers to the virus.

2. As of 11am this morning, 72.8 percent of adult New Yorkers have received at least one vaccine dose, per the CDC. To date, New York (July 2019 State Population 19,453,561) has administered 21,443,054 total doses with 66.2 percent of adult New Yorkers completing their vaccine series.

However according to the statistics published by the Taiwan CDC on the same day of July 8, 2021:

1. COVID tests reported yesterday, 21 were positive. There were 3 patients died of virus.

2. 11.96 percent of adults have received at least one vaccine dose, per the Taiwan CDC. To date, Taiwan R.O.C. (as of July 8, 2021 Population 23,860,768) has administered 2,899,997 total doses with 0.22 percent of adults completing their vaccine series.

您確定疫苗實際上可以保護您免受 Covid-19 病毒的侵害嗎？

接種疫苗的人越多，在死亡人數相同的情況下，檢測結果呈現確診陽性的就越多。這造成了大規模疫苗接種將可大量降低重症和死亡率的錯誤印象。

2021 年 7 月 8 日

區域人口

疫苗接種率 確診陽性 死亡

美國紐約州 19,453,561

72.8% 66.2% 607 3

中華民國台灣 23,860,768

11.96% 0.22% 21 3

(2021 年 7 月 8 日) 根據美國紐約州州長 Andrew M. Cuomo 的電子郵件：

1. COVID 冠狀肺炎昨天住院人數為 347。在昨天報告的 98,677 項檢測中，有 607 項 (即 0.68%) 呈確診陽性。昨天有 80 個病人住進重症加護病房，39 個插管。可悲的是，我們被病毒奪走了三名紐約人 (死亡)。

2. 根據美國疾病管制與預防中心 CDC，截至今天上午 11 點，72.8% 的成年紐約人至少接種了一劑疫苗。迄今為止，紐約 (2019 年 7 月的全州總人口數為 19,453,561) 已接種了 21,443,054 劑疫苗，66.2% 的成年紐約人完成了他們的疫苗系列兩劑接種。

但是根據台灣衛生福利部疾病管制署 2021 年 7 月 8 日同一天所公佈的統計數據：

1. 昨天報告的 COVID 檢測結果為 21 項呈確診陽性。有 3 名患者死於病毒。

2. 根據台灣衛生福利部疾病管制署的數據，11.96% 的成年人至少接種了一劑疫苗。迄今為止，中華民國台灣 (截至 2021 年 7 月 8 日人口 23,860,768) 已接種了 2,899,997 劑疫苗，其中 0.22% 的成年人完成了疫苗系列兩劑接種。

...

Variants keep emerging. Is it possible that a government that 'does not understand the future epidemic' is even more terrible than the Covid-19 virus!

變種不斷出現。難道「不了解未來疫情」的政府會比 Covid-19 病毒還要可怕嗎！

...

Variants keep emerging. Is it possible that a government that 'does not understand the future epidemic' is even more terrible than the Covid-19 virus!

(July 7, 2021) The Australian state of New South Wales orders a weeklong extension of Sydney's hard COVID-19 lockdown as new cases of the Delta variant continue to emerge.

(July 5, 2021) London (CNN) UK Prime Minister Boris Johnson has set out his plan to lift most of England's remaining coronavirus restrictions by mid-July

'An abdication of responsibility from the government'

Stephen Griffin, an associate professor in the School of Medicine at the University of Leeds, said in a statement provided to the UK's Science Media Centre (SMC) that vaccines provide 'a clear route' out of the pandemic.

Around 86% of the UK's adult population has received a first dose of a Covid-19 vaccine and more than 63% have received a second dose, according to government figures.

Griffin added that Johnson's plan, which effectively shifts the responsibility for safety measures from the government to individuals, represented 'an abdication of responsibility from the government'.

However the Covid-19 virus can not only be transmitted to humans, but also to animals and birds. After new variants appear in nature, it can be transmitted to humans. At this time, all human vaccine antibodies may accelerate the destruction of the immune system, causing another brand new ADE (Antibody-Dependent Enhancement) effect, leading to terrible extinction after the failure of herd immunity.

Does the so-called 'herd' of 'herd immunity' include 'animals and birds' in nature? If this 'herd' only includes the 'domestic human herd', does not include the 'foreign human herd', nor does it include the 'animals and birds' around them, then humans will look down on the Covid-19 virus too much.

Computer artificial intelligence can be used to pre-warn people of the susceptible dates to virus infection, and block the smooth spread of the virus that is leading to a pandemic.

If 'a set of large numbers of host servers, under parallel processing with super internet on-line capacity, loaded by computer artificial intelligence software with super computing power', and that are enough for 'all population' at 'the same time' to 'simultaneously' use mobile phones and computers, through on-line internet services, to obtain their own prediction information of their personal 'list of the dates for disease (including Covid-19) and life-dangers in the next 100 days', then the responsibility for epidemic prevention should start from each individual.

'It's an abdication of the responsibility for safety measures from the government to individuals'

Everyone has the responsibility to 'evade the viruses', although the virus is completely invisible and cannot be prevented in time, however if the people who are about to be infected 'at the same time' receive the 'warning prediction' messages and 'evade the viruses on their own'. In this way, it is 'very difficult' for the virus to spread smoothly, and it is impossible to cause a 'pandemic'.

For countries where vaccination has not reached 60% to 75%, after 60% to 75% of future vaccination is completed, it is possible that new variant viruses will almost emerge in nature and cause new threats.

At this time, the government's budget and time for epidemic prevention are almost exhausted. However, the above-mentioned 'computer artificial intelligence' used to protect personal safety responsibilities for safety measures has not yet been set up properly and adequately for use by the whole people.

Then the government is to shift the responsibility for epidemic prevention and safety measures from the government to individuals, and let individuals prevent the epidemic on their own. Is it possible that a government that 'does not understand the future epidemic' is even more terrible than the Covid-19 virus!

...

變種不斷出現。難道「不了解未來疫情」的政府會比 Covid-19 病毒還要可怕嗎！

(2021 年 7 月 7 日) 隨著新的 Delta 變種病例不斷出現，澳大利亞新南威爾斯州下令將雪梨的 COVID-19 嚴格封鎖延長一周。

(2021 年 7 月 5 日) 倫敦 (CNN) 英國首相鮑里斯·約翰遜 (Boris Johnson) 制定了他的計劃，以在 7 月中旬之前解除英格蘭剩餘的大部分冠狀病毒限制。

'政府對責任的退讓'

利茲大學醫學院副教授斯蒂芬格里芬在提供給英國科學媒體中心 (SMC) 的一份聲明中說，疫苗提供了擺脫大流行的 '明確途徑'。

根據政府數據，大約 86% 的英國成年人接種了第一劑 Covid-19 疫苗，超過 63% 的成年人接種了第二劑。

格里芬補充說，約翰遜 (Boris Johnson) 的計劃有效地將安全措施的責任從政府轉移到個人身上，代表了 '政府對責任的退讓'。

然而，Covid-19 病毒不僅可以傳染給人類，還可以傳染給動物和禽鳥，在自然界出現新的變種後，再傳染給人類。此時，所有的人類疫苗抗體將反而可能會加速免疫系統的破壞，引起另一種全新的 ADE (Antibody–Dependent Enhancement 抗體依賴的增強作用) 效應，導致群體免疫失敗後可怕的滅絕。

所謂「群體免疫」的「群體」是否包括自然界中的「動物和禽鳥」呢？如果這個「群體」只包括「國內人類群體」，不包括「國外人類群體」，也不包括他們周圍身邊的「動物和禽鳥」，那麼人類就太看不起 Covid-19 病毒了。

電腦人工智慧能夠用於預先警告人們易受病毒感染的日期，並阻斷導致大流行之病毒的順利傳播。

目前手機和電腦已經普及，幾乎所有公務員 (包括警察、教師、里長、鄰長等等) 和學生 (負責代表其自己家庭的全家成員操作)、醫生、護理師等都能夠操作。

如果能夠設立「一組能夠平行處理，並具有超級互聯網在線容量的眾多數量主機伺服器，並載有具備超級運算能力的電腦人工智慧軟體」，且足夠讓「所有人口」於「同時間」內皆能「同時」以手機及電腦，通過在線互聯網服務，自行上網查詢其個人與家人「於未來 100 日內的疫病 (含 Covid-19) 與生命危險日期名單」之預測資訊，則防疫責任理應是從每個人做起。

'這是將安全措施的責任從政府轉移到個人'

人人有責任「自行避疫」，病毒雖然完全看不見致無法及時預防避免被感染，但是如果即將遭受到感染的人「同時」接受到「警示預測」訊息而「自行避疫」，則病毒想要順利傳播也就「困難重重」而無法造成「大流行」了。

對於疫苗接種率還沒有達到 60％ ~ 75% 的國家，在未來疫苗接種完成 60％ ~ 75% 之後，很有可能新的變種病毒也差不多在自然界中產生出來而造成新的威脅。

這時候，政府用於防疫的金錢預算與時間幾乎用盡。但是，上述可由個人自行採取安全措施，用來保護個人安全責任的「電腦人工智慧」卻仍然尚未建立完善、充分供全民使用。

政府即要將防疫安全措施的責任從政府轉移到個人身上，讓個人自己預防疫情。難道「不了解未來疫情」的政府會比 Covid-19 病毒還要可怕嗎！

...

Variants keep emerging. Is it possible that a government that 'does not understand the future epidemic' is even more terrible than the Covid-19 virus!

變種不斷出現。難道「不了解未來疫情」的政府會比 Covid-19 病毒還要可怕嗎！

(July 7, 2021) The Australian state of New South Wales orders a weeklong extension of Sydney's hard COVID-19 lockdown as new cases of the Delta variant continue to emerge.

(2021 年 7 月 7 日) 隨著新的 Delta 變種病例不斷出現，澳大利亞新南威爾斯州下令將雪梨的 COVID-19 嚴格封鎖延長一周。

(July 5, 2021) London (CNN) UK Prime Minister Boris Johnson has set out his plan to lift most of England's remaining coronavirus restrictions by mid-July

'An abdication of responsibility from the government'

'政府對責任的退讓'

利茲大學醫學院副教授斯蒂芬格里芬在提供給英國科學媒體中心 (SMC) 的一份聲明中說，疫苗提供了擺脫大流行的 '明確途徑'。

Around 86% of the UK's adult population has received a first dose of a Covid-19 vaccine and more than 63% have received a second dose, according to government figures.

根據政府數據，大約 86% 的英國成年人接種了第一劑 Covid-19 疫苗，超過 63% 的成年人接種了第二劑。

格里芬補充說，約翰遜 (Boris Johnson) 的計劃有效地將安全措施的責任從政府轉移到個人身上，代表了 '政府對責任的退讓'。

Computer artificial intelligence can be used to pre-warn people of the susceptible dates to virus infection, and block the smooth spread of the virus that is leading to a pandemic.

電腦人工智慧能夠用於預先警告人們易受病毒感染的日期，並阻斷導致大流行之病毒的順利傳播。

'It's an abdication of the responsibility for safety measures from the government to individuals'

'這是將安全措施的責任從政府轉移到個人'

政府即要將防疫安全措施的責任從政府轉移到個人身上，讓個人自己預防疫情。難道「不了解未來疫情」的政府會比 Covid-19 病毒還要可怕嗎！

...

Whose Fault? It's a life-danger event that can be predicted through our computer artificial intelligence.

Taiwan, Republic of China, June 30, 2021, the Changhua Fire Bureau stated that a night fire occurred in an anti-Covid-19 anti-epidemic hotel in Changhua City, killing 4 people, including 3 quarantined guests and a 33-year-old young firefighter, two other firefighters were injured during the fire fighting, and another 20 guests who were quarantined were injured.

誰的錯？這是一個生命危險事件，可以透過我們的電腦人工智慧進行預測。

中華民國台灣，2021 年 6 月 30 日，彰化消防局稱，彰化市一家抗 Covid-19 防疫旅館發生夜間火災，造成 4 人死亡，其中包括 3 名被隔離的客人和一名 33 歲的年輕消防員，另外兩名消防員在救火過程中受傷，另有 20 名被隔離的客人受傷。

...

Features of Functions

功能特徵

Features of Functions

The Features of the prediction information of the people’s personal 'list of the dates for disease (including Covid-19) and life-dangers in the next 100 days' calculated by our computer artificial intelligence

1. It's based on the Universal Galaxy Time that defines this day starting from 23:00 p.m. at yesterday night to 23:00 p.m. at this night.

It's quite different from the Earth Time that defines this day starting from 00:00 a.m. in this early morning to 24:00 p.m. at this night.

Obviously it was developed by the ancient Outer Space Alien High-Tech Civilization that knew the Universal Galaxy Time very well.

2. At present, we provide online real-time calculation services from AD 1797 to AD 2100 (or the expiry year of the contractual service period). In fact, the calculation function should be able to provide unlimited years from the year AD 0 to the future. This is completely incomprehensible to the knowledge of any known civilization on earth.

Personal historical event records can be examined:

Therefore, anyone can use this online service to examine the personal historical records of events after the birthday.

3. Only the Birth Time and Male/Female Gender of the calculated Person are required.

There is no personal database at all.

4. Not only the dark forces of the Sun, the Moon, and the eight planets of the solar system: Mercury, Venus, Earth, Mars, Jupiter, Saturn, Uranus, Neptune, and the Milky Way galaxies are included in the calculation, even modern quantum mechanics and magnetic fields are also included in the calculation. This is completely quite incomprehensible to the knowledge of any known civilization on earth.

5. Disease (including Covid-19) and Life-dangers are only 3 events, but it can calculate a total of 17 events in the human life cycle. It is far beyond the comprehensible knowledge of human civilization.

6. It uses the spiral-shaped concept of time waves, which is completely different from the knowledge of any known civilization on earth who believes that time is a linear concept.

7. Without the guidance of ancient Outer Space Alien High-Tech Civilization, it cannot be successfully developed with modern computer artificial intelligence by earth civilization.

8. Children over ten years old can learn to operate as long as they can use a mobile phone, and then learn throughout their lives how to use this online service to protect themselves and their families.

功能特徵

我們的電腦人工智慧所計算之人民個人「於未來 100 日內的疫病 (含 Covid-19) 與生命危險日期名單」之預測資訊的特徵

1. 它基於宇宙銀河系時間，定義當天是從昨天晚上 23:00 開始，到當天晚上 23:00 結束。

它與地球時間完全不同，定義當天是從今天凌晨 00:00 開始，到當天晚上 24:00 結束。

顯然，它是由非常了解宇宙銀河系時間的遠古外太空外星高科技文明所開發的。

2. 目前，我們提供自西元 1797 年至西元 2100 年 (或是契約合同服務期限的到期年份) 的線上即時計算服務。事實上，計算功能應該能夠提供從西元 0 年起至未來的無限年。此為地球上任何已知文明的知識所完全無法理解。

個人的歴史事件記錄可被檢視：

因此，任何人都可以使用此在線服務來檢視其個人於生日後的歷史事件記錄。

3. 只要被計算人之出生時間及男女性別。

完全沒有個人之數據資料庫。

4. 不僅太陽、月亮、和太陽系八大行星：水星、金星、地球、火星、木星、土星、天王星、海王星、與宇宙銀河系的暗黑作用力被列入計算，連現代量子力學與磁場也都包含在計算中。這是地球上任何已知文明的知識都完全無法理解的。

5. 疫病 (含 Covid-19) 與生命危險只是 3 個事件，但它可以計算出人類生命週期的總共 17 個事件。真是遠遠超出了人類文明的可理解知識。

6. 它使用了螺旋形的時間波概念，這與地球上任何已知文明認為時間是線性概念的知識完全不同。

7. 沒有遠古外太空外星高科技文明的引導，地球文明不可能用現代電腦人工智慧成功開發。

8. 十歲以上孩童只要會使用手機，就可以學會操作，並進而終其一生了解如何使用這項線上服務來保護自己與家人。

Features of Functions

功能特徵

我們的電腦人工智慧所計算之人民個人「於未來 100 日內的疫病 (含 Covid-19) 與生命危險日期名單」之預測資訊的特徵

1. It's based on the Universal Galaxy Time that defines this day starting from 23:00 p.m. at yesterday night to 23:00 p.m. at this night.

It's quite different from the Earth Time that defines this day starting from 00:00 a.m. in this early morning to 24:00 p.m. at this night.

Obviously it was developed by the ancient Outer Space Alien High-Tech Civilization that knew the Universal Galaxy Time very well.

1. 它基於宇宙銀河系時間，定義當天是從昨天晚上 23:00 開始，到當天晚上 23:00 結束。

它與地球時間完全不同，定義當天是從今天凌晨 00:00 開始，到當天晚上 24:00 結束。

顯然，它是由非常了解宇宙銀河系時間的遠古外太空外星高科技文明所開發的。

Personal historical event records can be examined:

Therefore, anyone can use this online service to examine the personal historical records of events after the birthday.

個人的歴史事件記錄可被檢視：

因此，任何人都可以使用此在線服務來檢視其個人於生日後的歷史事件記錄。

3. Only the Birth Time and Male/Female Gender of the calculated Person are required.

There is no personal database at all.

3. 只要被計算人之出生時間及男女性別。

完全沒有個人之數據資料庫。

5. 疫病 (含 Covid-19) 與生命危險只是 3 個事件，但它可以計算出人類生命週期的總共 17 個事件。真是遠遠超出了人類文明的可理解知識。

6. It uses the spiral-shaped concept of time waves, which is completely different from the knowledge of any known civilization on earth who believes that time is a linear concept.

6. 它使用了螺旋形的時間波概念，這與地球上任何已知文明認為時間是線性概念的知識完全不同。

7. Without the guidance of ancient Outer Space Alien High-Tech Civilization, it cannot be successfully developed with modern computer artificial intelligence by earth civilization.

7. 沒有遠古外太空外星高科技文明的引導，地球文明不可能用現代電腦人工智慧成功開發。

8. 十歲以上孩童只要會使用手機，就可以學會操作，並進而終其一生了解如何使用這項線上服務來保護自己與家人。

...

Imperfect Anti-Covid-19 Policy

Recent study has proved that Covid-19 viruses attack people's brains and cause permanent brain damages.

Upto now, there have been 33.6 million people infected Covid-19 viruses, out of total U.S. 328.2 million (2019) population. That is, more than 10% of U.S. population have been infected by Covid-19 viruses and might suffer permanent brain damages.

Vaccines might protect people from severe respiratory diseases and deaths against Covid-19 viruses effectively, however no evidence can be proved that vaccines can also protect your brain away from the attacks from the Covid-19 viruses.

Vaccines may also accelerate the evolution of the Covid-19 viruses, making them to become more dangerous variant viruses. Because these Covid-19 viruses have a survival nature in the population, people think that they must be protected by the vaccine, but unfortunately, people gathered together to form the best breeding ground for the virus to evolve into a new and more dangerous variant of Covid-19, which can resist vaccines that have been injected and will not change in the human body.

Once a new and more dangerous variant of Covid-19 is successfully evolved, it can resist vaccines that have been injected and will not change in the human body, then all efforts to fight the old Covid-19 virus will be in vain. People must start fighting the variant Covid-19 virus again for another year. In other words, more than 10% of the U.S. population may be infected with the Covid-19 variant virus and may suffer permanent brain damage within the next year.

If you don’t seek for a more perfect Covid-19 virus epidemic prevention solution, then in the long vicious recycling term, more than 50% of the U.S. population may be infected with the Covid-19 variant virus and may suffer permanent brain damage.

What is the best Anti-Covid-19 Policy? It's just try the best not to be infected, lest it should have endless troubles.

Epidemic prevention must be 'perfectly deployed ahead of time'. It is impossible just to rescue by using manual testing inspections, manual epidemic investigations, quarantine, manual vaccinations, and even adoption of the emergency measures such as the lockdown of the city and the nation after a major outbreak of the pandemic, which takes about one year. Such 'emergency measures of the mess during the one-year period after the epidemic' has caused too much economic losses for the country and individuals, and both the country and individuals are facing the risk of bankruptcy at the same time. Not only have all people lost huge amounts of money and time, some people have even endangered their lives and suffered permanent brain damages.

Computer artificial intelligence can be used to pre-warn people of the susceptible dates to virus infection, and block the smooth spread of the virus that is leading to a pandemic.

At present, mobile phones and computers are popularized. Almost all civil servants (including police officers, teachers, district chiefs, neighborhood chiefs, etc.) and students (who are responsible for operating on behalf of the entire household members of their own families), doctors, and nurses can operate them. If 'a set of large numbers of host servers, under parallel processing with super internet on-line capacity, loaded by computer artificial intelligence software with super computing power', and that are enough for 'all population' at 'the same time' to 'simultaneously' use mobile phones and computers, through on-line internet services, to obtain their own prediction information of their personal 'list of the dates for disease (including Covid-19) and life-dangers in the next 100 days', then the responsibility for epidemic prevention should start from each individual. Everyone has the responsibility to 'evade the viruses', although the virus is completely invisible and cannot be prevented in time, however if the people who are about to be infected 'at the same time' receive the 'warning prediction' messages and 'evade the viruses on their own'. In this way, it is 'very difficult' for the virus to spread smoothly, and it is impossible to cause a 'pandemic'.

不完美的對抗 Covid-19 病毒防疫政策

最近的研究證明，Covid-19 病毒會攻擊人的大腦並造成永久性的腦損傷。

到目前為止，在美國 3.282 億 (2019 年) 總人口中，已經有 3,360 萬人感染了 Covid-19 病毒。也就是說，超過 10% 的美國人口已經感染 Covid-19 病毒，並可能遭受永久性腦損傷。

疫苗或許可以有效地保護人們免受 Covid-19 病毒的嚴重呼吸道重症疾病和死亡，但是沒有證據能夠證明疫苗也可以保護您的大腦免受 Covid-19 病毒的攻擊。

疫苗還可能加速 Covid-19 病毒的進化，使其成為更危險的變種病毒，因為這些 Covid-19 病毒在人群中具有求生存天性，人們認為自己肯定受到了疫苗的保護，但不幸的是，人們聚集在一起形成了讓病毒進化成為新品種、更危險的 Covid-19 變種病毒的最佳溫床，它可以抵抗已經注射並且不會在人體內發生變化的疫苗。

一旦成功進化出一種新的、更危險的 Covid-19 變種病毒，它可以抵抗已經注射過並且不會在人體內產生變化的疫苗，那麼所有對抗舊型 Covid-19 病毒的努力都將付諸東流，人們必須在一年內再次開始與變種 Covid-19 病毒作戰。換句話說，超過 10% 的美國人口可能會感染 Covid-19 變種病毒，並且可能在未來一年內遭受永久性的腦損傷。

如果不尋求更完美的 Covid-19 病毒防疫解決方案，那麼在長期的惡性循環中，超過 50% 的美國人口可能會感染 Covid-19 變種病毒，並可能遭受永久性的腦損傷。

什麼是最好的對抗 Covid-19 病毒防疫政策呢？就是，盡量不要被感染，免得後患無窮。

防疫必須「完美地超前佈署」，僅在疫情大爆發後，再以約需時一年期間左右的「染疫後」人工檢測、人工疫情調查、隔離、人工施打疫苗、甚至於採取如封城、封國等緊急處置，是不可能搶救挽回的。這種「染疫後一年期間之混亂爛攤子的緊急處置」，讓國家和個人造成了龐大的經濟損失，國家和個人皆同時面臨破產倒閉的風險。不僅所有人都損失了巨額的金錢和時間，有些人甚至危害及生命，遭受永久性的腦損傷。

電腦人工智慧能夠用於預先警告人們易受病毒感染的日期，並阻斷導致大流行之病毒的順利傳播。

目前手機和電腦已經普及，幾乎所有公務員 (包括警察、教師、里長、鄰長等等) 和學生 (負責代表其自己家庭的全家成員操作)、醫生、護理師等都能夠操作。如果能夠設立「一組能夠平行處理，並具有超級互聯網在線容量的眾多數量主機伺服器，並載有具備超級運算能力的電腦人工智慧軟體」，且足夠讓「所有人口」於「同時間」內皆能「同時」以手機及電腦，通過在線互聯網服務，自行上網查詢其個人與家人「於未來 100 日內的疫病 (含 Covid-19) 與生命危險日期名單」之預測資訊，則防疫責任理應是從每個人做起，人人有責任「自行避疫」，病毒雖然完全看不見致無法及時預防避免被感染，但是如果即將遭受到感染的人「同時」接受到「警示預測」訊息而「自行避疫」，則病毒想要順利傳播也就「困難重重」而無法造成「大流行」了。

Imperfect Anti-Covid-19 Policy

不完美的對抗 Covid-19 病毒防疫政策

Recent study has proved that Covid-19 viruses attack people's brains and cause permanent brain damages.

最近的研究證明，Covid-19 病毒會攻擊人的大腦並造成永久性的腦損傷。

What is the best Anti-Covid-19 Policy? It's just try the best not to be infected, lest it should have endless troubles.

什麼是最好的對抗 Covid-19 病毒防疫政策呢？就是，盡量不要被感染，免得後患無窮。

Computer artificial intelligence can be used to pre-warn people of the susceptible dates to virus infection, and block the smooth spread of the virus that is leading to a pandemic.

電腦人工智慧能夠用於預先警告人們易受病毒感染的日期，並阻斷導致大流行之病毒的順利傳播。

...

The fact in history is that no one can be taken for granted and should be sacrificed as a sacrificial offering.

However, what has been always doing the job of the 'Final Judgment'? This is the advanced know how and knowledge of 'Universal Outer Space Alien Hi-tech Civilization and Quantum Entanglement Science'.

歷史上的事實是，沒有人可以被視為理所當然，應該作為祭品而犧牲。

然而，是什麼一直在做「最終審判」的工作呢？這就是「宇宙外太空的外星高科技文明與量子糾纏科學」的高深學問及知識了。

The fact in history is that no one can be taken for granted and should be sacrificed as a sacrificial offering.

In the history of ancient Mayan civilization, the government and people sacrificed people as sacrificial offerings, and they took it for granted.

Then, the 'genocide event of tens of millions of people' occurred in the history of 'Ancient Mayan civilization with a population of tens of millions in the 8th century AD'.

The Chinese Shang Dynasty government also sacrificed people as sacrificial offerings, and took it for granted. As a result, it was overthrown by the people and the Zhou Dynasty government.

The Nazi German government sacrificed Jews as sacrificial offerings and took it for granted. So it was overthrown and perished.

Otherwise, if the government fails to adequately inform such information, causing these people to die from the epidemic even though they have a full set of protective clothing and masks when fighting on the front line of the epidemic, the government is to sacrifice people as sacrificial offerings, and to take it for granted.

People who are 'unwilling to receive vaccine' or 'unsuitable for vaccination', or people no matter who 'have been vaccinated or not' but want to enter the area at the 'virus infection hot zone' will especially need 'The Preventive Scientific Protection of the computer artificial intelligence' to know in advance the dates for an individual’s declined human body magnetic field to have a "Quantum Nanolevel Breakthrough Gap of the Human Magnetic Field's Protective Circle Shield" (that is, the dates of 'disease and life-dangers'.) in the next 100 days.

The government has the responsibility to clearly inform the above people. At present, it has the computer science and technology that can afford to predict on what dates each individual will form a "Quantum Nanolevel Breakthrough Gap of the Human Magnetic Field's Protective Circle Shield", and the government will bear all the costs of providing this personal information.

Otherwise, if the government fails to adequately inform such information, causing these people to die from the epidemic on these dates, the government is to sacrifice people as sacrificial offerings, and to take it for granted.

If you examine in detail the prediction information of the people’s personal 'list of the dates for disease (including Covid-19) and life-dangers in the next 100 days', the ten days' (inclusive) period from the date of vaccination includes the dates for disease (including Covid-19) and life-dangers, it is obvious that this individual’s vaccination date is extremely unsuitable, and the vaccination date should be postponed. Another ten days' (inclusive) period from the date of vaccination being free of disease (including Covid-19) and life-dangers is "the best date for the individual's vaccination".

The government has the responsibility to clearly inform the people before vaccinating them that there is computer science and technology that can afford to predict their personal 'best vaccination date', and the government will bear all the costs of providing this personal information.

Otherwise, if the government fails to adequately inform such information, causing the unfortunate deaths of these people after being vaccinated, instead it believes that their deaths have nothing to do with the vaccination. The government is just to sacrifice people as sacrificial offerings, and to take it for granted.

Remarks: In just six days from June 14 to 19, 2021, the death rate of 63 people in Taiwan after being vaccinated was extremely high, which was even higher than the death rate of the Covid-19 virus. The government decided that it has nothing to do with the vaccination. These people should have died as a matter of course. The government was to sacrifice people as sacrificial offerings, and to take it for granted.

...

歷史上的事實是，沒有人可以被視為理所當然，應該作為祭品而犧牲。

然而，是什麼一直在做「最終審判」的工作呢？這就是「宇宙外太空的外星高科技文明與量子糾纏科學」的高深學問及知識了。

在古代瑪雅文明歴史上，政府與人民都以人作為祭品而犧牲，且認為這是理所當然。

於是，在「公元 8 世紀擁有千萬人口的古代瑪雅文明」的歷史上發生了「千萬人口種族滅絕事件」。

中國商朝政府也是以人作為祭品而犧牲，且認為這是理所當然。於是，它被人民與周朝政府推翻了。

納粹德國政府犧牲猶太人作為祭品，並認為這是理所當然。所以，它被推翻而滅亡。

政府有責任必須明確告知於防疫前線作戰的醫生、護理師、警察、消防員、衞生所、縣市區鄉鎮公所等公務員，目前已有能夠預測其個人形成「量子奈米級的人體磁場保護圈防護罩破口」日期的電腦科學技術，並由政府負擔提供此個人資訊之所有一切費用。

否則，政府若未能予以充分告知此種資訊，致造成這些人員於防疫前線作戰時，雖然具備有全套防護衣及口罩，卻仍不幸染疫身亡，政府就是以人作為祭品而犧牲，且認為這是理所當然。

「不願意施打疫苗」或是「不適合施打疫苗」的人民，或是不管「有無施打過疫苗」卻要進入「病毒感染熱區」地區的人士，都將特別需要「電腦人工智慧的預防科學保護」，以預先知道個人於未來 100 日內，其衰退的人體磁場將要特別形成「量子奈米級的人體磁場保護圈防護罩破口」(亦即「疫病與生命危險」) 的日期。

政府有責任必須明確告知上開人民，目前已有能夠預測其個人形成「量子奈米級的人體磁場保護圈防護罩破口」日期的電腦科學技術，並由政府負擔提供此個人資訊之所有一切費用。

否則，政府若未能予以充分告知此種資訊，致造成這些人民於這些日期中不幸染疫身亡，政府就是以人作為祭品而犧牲，且認為這是理所當然。

假如詳細檢視個人「於未來 100 日內的疫病 (含 Covid-19) 與生命危險日期名單」之預測資訊中，自疫苗注射日期起十日(含)期間內若含有「疫病與生命危險日期」者，則明顯此個人之疫苗注射日期為極度不適合，應該延期施打，另擇自疫苗注射日期起十日(含)期間內全無「疫病與生命危險日期」者，為其個人之最佳疫苗注射日期。

政府有責任在對人民施打疫苗前，必須明確告知人民，目前已有能夠預測其個人的「最佳疫苗注射日期」的電腦科學技術，並由政府負擔提供此個人資訊之所有一切費用。

否則，政府若未能予以充分告知此種資訊，致造成這些人民於施打疫苗後不幸身亡，反而認為其死亡與施打疫苗完全無關，政府就是以人作為祭品而犧牲，且認為這是理所當然。

備註：在 2021 年 6 月 14 日至 19 日之短短 6 日內，台灣人民於施打疫苗後之 63 人死亡的超高死亡率，甚至高於 Covid-19 病毒的染疫致死率，而政府皆決定是與施打疫苗完全無關，這些人本來就理所當然應該要死亡的，政府就是以人作為祭品而犧牲，且認為這是理所當然。

...

The fact in history is that no one can be taken for granted and should be sacrificed as a sacrificial offering.

歷史上的事實是，沒有人可以被視為理所當然，應該作為祭品而犧牲。

然而，是什麼一直在做「最終審判」的工作呢？這就是「宇宙外太空的外星高科技文明與量子糾纏科學」的高深學問及知識了。

In the history of ancient Mayan civilization, the government and people sacrificed people as sacrificial offerings, and they took it for granted.

在古代瑪雅文明歴史上，政府與人民都以人作為祭品而犧牲，且認為這是理所當然。

Then, the 'genocide event of tens of millions of people' occurred in the history of 'Ancient Mayan civilization with a population of tens of millions in the 8th century AD'.

於是，在「公元 8 世紀擁有千萬人口的古代瑪雅文明」的歷史上發生了「千萬人口種族滅絕事件」。

The Chinese Shang Dynasty government also sacrificed people as sacrificial offerings, and took it for granted. As a result, it was overthrown by the people and the Zhou Dynasty government.

中國商朝政府也是以人作為祭品而犧牲，且認為這是理所當然。於是，它被人民與周朝政府推翻了。

The Nazi German government sacrificed Jews as sacrificial offerings and took it for granted. So it was overthrown and perished.

納粹德國政府犧牲猶太人作為祭品，並認為這是理所當然。所以，它被推翻而滅亡。

否則，政府若未能予以充分告知此種資訊，致造成這些人民於這些日期中不幸染疫身亡，政府就是以人作為祭品而犧牲，且認為這是理所當然。

…

Can you trust and accept the historically huge mistakes made by false medical experts?

您能相信且接受假醫學專家們所犯下的歷史上的巨大錯誤嗎？

Can you trust and accept the historically huge mistakes made by false medical experts?

(1) The packaging of the best ever man-made N95 mask has a label or verbiage indicating that it can protect as low as 0.3 microns. Microns are as small as 1 millionth of a meter. The diameter of Covid-19 is approximately 60–140 nanometers or 0.06 to 0.14 microns. Therefore, an N95 mask with a protection as small as 0.3 microns can provide excellent protection against the Covid-19 virus, which is at least 5 times smaller, and can be minimum as small as 0.06 microns.

(2) Vaccines can completely end the Covid-19 pandemic through 'Herd Immunity'. The infections and deaths of the few people who have been vaccinated can be ignored and sacrificed. Although this also means that the evolution of the Covid-19 virus has also been accelerated by vaccination and has become another kind of' 'Herd Genocide Cycle' (i.e. the vicious cycle of 'continuous vaccination and more variant viruses evolved from the Covid-19 virus caused by vaccination'.).

(3) The prediction information of the people’s personal 'list of the dates for disease (including Covid-19) and life-dangers in the next 100 days' is impossible to be calculated by human computer artificial intelligence, nor can it prevent the Covid-19 pandemic.

(4) Without the above prediction information, Medical post-infection testing and vaccination can completely end the Covid-19 pandemic, although it will always take years to run its complete procedures manually.

...

您能相信且接受假醫學專家們所犯下的歷史上的巨大錯誤嗎？

(1) 有史以來最好的人造 N95 口罩的包裝上有一個標籤或文字，表明它可以保護低至 0.3 微米。微米是小到百萬分之一米。Covid-19 的直徑約為 60–140 納米或 0.06 至 0.14 微米。因此，一個防護層小至 0.3 微米的 N95 口罩可以提供對最小是小 5 倍、最小可小至 0.06 微米之 Covid-19 病毒的絕佳防護。

(2) 疫苗可以透過 '群體免疫' 而完全終結 Covid-19 病毒大流行。少數已經接種過疫苗之人的感染和死亡都可以被忽略和犧牲。雖然這也是意味著 Covid-19 病毒的進化也是因為疫苗接種而加速，變成了另一種 '群體滅絕循環' (即 '持續接種疫苗以及由疫苗接種所引起的由 Covid-19 病毒進化出更多變種病毒' 的惡性循環。)。

(3) 人民個人「於未來 100 日內的疫病 (含 Covid-19) 與生命危險日期名單」之預測資訊，人類的電腦人工智慧不可能計算出來，也無法預防 Covid-19 病毒大流行。

(4) 在沒有上述預測資訊的情況下，醫學的感染後檢測和疫苗接種可以完全終結 Covid-19 病毒大流行，儘管使用人工運行其完整程序總是需要數年時間。

...

Can you trust and accept the historically huge mistakes made by false medical experts?

您能相信且接受假醫學專家們所犯下的歷史上的巨大錯誤嗎？

...

Never to make 'Herd Immunity against Covid-19' to become 'Herd Genocide by Covid-19'.

永遠不要讓「對抗 Covid-19 的群體免疫」變成「Covid-19 造成的群體滅絕」。

…

Never to make 'Herd Immunity against Covid-19' to become 'Herd Genocide by Covid-19'.

Subject:

The Government’s Responsibilities to Civil Servants such as Medical Care, Police, and Fire Brigade.

Description:

The government has the responsibility to clearly inform the doctors, nurses, policemen and policewomen, firefighters, and other civil servants working at health centers, county and township offices, who are fighting on the frontline of the epidemic. At present, it has the computer science and technology that can afford to predict on what dates each individual will form a 'Quantum Nanoscale Protection Breakthrough Gap', and the government will bear all the costs of providing this personal information. Otherwise, if the government fails to adequately inform such information, causing these people to die from the epidemic even though they have a full set of protective clothing and masks when fighting on the front line of the epidemic, the person in charge of the government should be qualified to have 'an essential fact and mens Rea' to commit the criminal law of 'Knowingly killing people intentionally to be a homicide by being malicious omission and not to act'.

Methods:

1. After the emergence of the Covid-19 virus, many virus experts and scholars from various countries suddenly appeared in the world at the same time. It was not known at where they learned a lot of 'hypocritical and false' knowledge against the Covid-19 virus from the earth, but they were actually taking the lives of the people as experiments. By way of learning and educating and ordering, but not fully understanding the virus, otherwise there would not have been so many doctors, nurses, policemen and policewomen, firefighters, and those 'High-ranking intellectuals' civil servants working at health centers, county and township offices, who are fighting on the frontline of the epidemic, although equipped with a full set of protective clothing and masks, unfortunately died from the epidemic.

(Central News Agency, New Delhi, on May 4th, Combined Foreign News Report) Indian-American infectious disease expert Dr. Rajendra Kapila passed away on May 3, 2021. He was vaccinated with two doses of Pfizer vaccine before his death. But he still lost his life to the India's mutant virus.

2. In India, which was attacked by the COVID-19 epidemic, more than 1,000 doctors have unfortunately passed away. Could it be that these 'senior medical intellectuals' doctors, who understood English and could afford to read the literature of global medical journals and articles, did not know how to wear a full set of protective clothing and masks, but directly gave themselves to be infected by the COVID-19 virus and died? Maybe the medical knowledge of these doctors are even much more better than the doctors in our epidemic prevention command center, but unfortunately all of them died of the epidemic.

3. For the "quantum nanoscale Covid-19 virus", the 'hypocritical and false' knowledge that these so-called "senior medical intellectuals" doctors know about the fight against the Covid-19 virus was only recently learned from many virus experts and scholars of various countries come out around the world at the same time. These are a little bit like using big-mesh fishing nets to confront the "quantum nanoscale Covid-19 virus" that can only be seen by an electron microscope, and it is also as a blind man who knows only one leg of an elephant but not all. 'Quantum nanoscale Intellectual knowledge ignorance' directly killed tens of thousands of these 'senior medical intellectuals' doctors around the world. So how can we civil servants and ordinary people who have no 'advanced medical knowledge' protect ourselves?

4. In the cosmic solar system, due to the existence of the earth's magnetic field, when the solar wind passes through the surface of the earth, the earth's magnetic field will form an effective protective circle shield, and this protective circle shield will isolate most of the charged solar wind particles, which makes the solar wind to bypass the earth and not to cause devastating damage to human beings living on the earth. Therefore, the earth's magnetic field acts as the guardian of the earth.

The human body is also a nanoscale cosmic solar system. The human body also has a human body magnetic field. When the nanolevel electrostatic virus passes near the surface of the human body, the human body magnetic field will also form an effective protective circle shield, and this protective circle shield will isolate most of the nanolevel electrostatic virus, which makes the nanolevel electrostatic virus to bypass the human body and not to cause attachment, adhesion, or invasive damage to the human body. Therefore, the human body's magnetic field also acts as a guardian of the human body.

However, on certain dates, human immunity or vitality will be particularly fragile, and each person's dates are different. Because the human body's magnetic field, which acts as the guardian of the human body, has declined on these days, and an effective protective circle shield cannot be formed. This protective circle shield should have isolated most of the nanolevel electrostatic viruses, but it makes nanolevel electrostatic viruses not to bypass the human body at all, nevertheless directly to cause attachment, electrostatic adhesion, and invasive damage to the human body.

Because human immunity or vitality has unfortunately formed a "Quantum Nanolevel Breakthrough Gap of the Human Magnetic Field's Protective Circle Shield" on these dates.

Generally, the 'hypocritical and false' knowledge of fighting the Covid-19 virus is to educate everyone that 'the transmission of the Covid-19 virus is through close-range droplets, direct or indirect contact with viral oral and nasal secretions, or in prolonged periods without respiratory protection, being in a confined space within 2 meters of a confirmed patient will increase the risk of human-to-human transmission. However, the complete transmission route of the new coronavirus SARS-CoV-2 is not yet fully understood.' (This transmission route of Covid-19 is directly quoted from the information content of the website of the Department of Taiwan Centers of Disease Control of the Ministry of Health and Welfare at https://www.cdc.gov.tw/Category/Page/vleOMKqwuEbIMgqaTeXG8A ), so wearing a full set of protective clothing and masks has become a 'perfectly safe and no risk at all' protective equipment considered by doctors.

But when human immunity or vitality has unfortunately formed a "Quantum Nanolevel Breakthrough Gap of the Human Magnetic Field's Protective Circle Shield" on certain dates, because the human body is mobile, not static, and it must also breathe air, therefore, relying on activities and breathing to rub air, touching objects, to wear protective clothing, etc., will immediately form 'static electricity of human body'. Once a "Quantum Nanolevel Breakthrough Gap of the Human Magnetic Field's Protective Circle Shield" is formed, the electrostatically charged virus will inevitably no longer bypass the human body. Instead, due to the force of the human body’s static electricity, it will directly attract a large number of viruses and form a direct attachment to the human body to cause adhesive and invasive injuries.

At this time, a full set of protective clothing and masks have no protective effect against the 'Quantum Nanoscale Covid-19 Virus' that can only be seen by an electron microscope. As a result, tens of thousands of doctors around the world died of the epidemic during the time on dates when their individual "Quantum Nanolevel Breakthrough Gap of the Human Magnetic Field's Protective Circle Shield" was unfortunately formed.

This is like a gambling on one's life and unfortunately losing one's life. People have no idea that on what kind of a certain dates in the future, their individual "Quantum Nanolevel Breakthrough Gap of the Human Magnetic Field's Protective Circle Shield" will be unfortunately formed. On these dates, each individual will have no 'Protective Circle Shield' of the 'human body magnetic field', but only 'human body static electricity', which will attract a large number of static electricity-carrying viruses and cause direct attachment, electrostatic adhesion, and invasive damage to the human body.

The scientific community has discovered that "Moon dusts are nanoscale particles", with 'inorganic inanimate quantum nanoscale electrostatic adhesion', which can easily penetrate into the protective clothing of astronauts, and they are strongly adhered and cannot be removed at all. The astronaut’s lungs were severely damaged.

Because the astronauts landing on the moon were mobile, not stationary, they also breathed the oxygen in the space mask. Therefore, relying on activities and breathing that caused frictional airflow, touching objects, wearing space protective clothing, etc., the 'human body static electricity' would immediately be formed, and which is enough to attract the nanoscale lunar dust particles to penetrate the lungs of astronauts in large quantities, and to cause these lungs of astronauts being suffered serious damage.

Therefore, for more than 40 years, the United States has never sent an astronaut to land on the moon. The reason is the same as above.

5. The British Daily Mail reported on May 29, 2021 that the 44-year-old female anchor Lisa Shaw received the first dose of AZ vaccine in the middle of the month. She started to have severe headaches a week later and her condition worsened a few days later. She was admitted to the Intensive Care Unit of Royal Victoria Hospital due to thrombosis and cerebral hemorrhage, and passed away on the afternoon of the 21st, causing great grief to relatives and friends.

6. If you examine in detail the prediction information (please refer to the description below) of the people’s personal 'list of the dates for disease (including Covid-19) and life-dangers in the next 100 days', the ten days' (inclusive) period from the date of vaccination includes the dates for disease (including Covid-19) and life-dangers, it is obvious that this individual’s vaccination date is extremely unsuitable, and the vaccination date should be postponed. Another ten days' (inclusive) period from the date of vaccination being free of disease (including Covid-19) and life-dangers is "the best date for the individual's vaccination".

7. People who are 'unwilling to receive vaccine' or 'unsuitable for vaccination', or people no matter who 'have been vaccinated or not' but want to enter the area at the 'virus infection hot zone' will especially need 'The Preventive Scientific Protection of the computer artificial intelligence' to know in advance the dates for an individual’s declined human body magnetic field to have a "Quantum Nanolevel Breakthrough Gap of the Human Magnetic Field's Protective Circle Shield" (that is, the dates of 'disease and life-dangers'.) in the next 100 days.

On these special dates, necessary personal protection measures must be actively taken (for example: act with extreme caution, do not go out, try to wear gloves and do not touch objects when going out, talk less, try to maintain a social distance of more than 2 meters, do not sit in unfamiliar public positions, or keep away from entering the virus infection hot zone... etc., actively avoid the friction and breathing of your body in the air, that will generate static electricity in the human body, and which will then attract a large amount of nanoscale static electricity-carrying viruses in the surrounding environment, and this will make the human body to be directly infected by the electrostatic adhesion of the virus).

The 'Quantum Nanoscale Spread' of the Covid-19 virus makes people especially in need of the 'Preventive Scientific Protection of Computer Artificial Intelligence'.

The scientific community has discovered that 'Moon dusts are nanoscale particles', with 'inorganic inanimate quantum nanoscale electrostatic adhesion', which can easily penetrate into the protective clothing of astronauts, and they are strongly adhered and cannot be removed at all. The astronaut’s lungs were severely damaged. For more than 40 years, the United States has never sent an astronaut to land on the moon.

Covid-19 is a virus. But viruses and germs are not the same. Germs are bacteria. When certain bacteria enter our body and make people sick, they are called germs.

There are many differences between viruses and germs. The first is the size. They are much different in size. Germs are a thousand times larger than viruses. Generally, germs are invisible to the naked eye, and you must use a microscope to see them.

However, viruses are smaller than bacteria, and they cannot be seen by ordinary microscopes. You must use an electron microscope to see them.

Covid-19 belongs to the virus category. As mentioned above, because viruses are a thousand times smaller than bacteria, they are all 'nanoparticles' like lunar dusts. Therefore, if they have the above-mentioned 'inorganic inanimate quantum nanoscale electrostatic adhesion' or below-mentioned 'organic, vigorous and reproductive pursuit of adhesion', then they can 'initiatively, actively and easily' penetrate into any protective clothing and the side gaps of masks that protect the human body.

What is 'organic, vigorous and reproductive pursuit of adhesion'?

In daily life, if a clean domestic dog is allowed to run across the grass, the dog tick will wait for an opportunity at the tip of the grass branch. Once it feels the dog’s smell and body temperature, it will immediately jump on and attach to the dog’s body for preparing its reproduction of offspring by sucking the blood of dog.

This kind of life reflex action of the dog tick 'initiatively, actively and easily' jumping on and attaching to the dog’s body, in order to attach to the dog’s body and suck blood, by means of the reproduction of the offspring, is the 'organic, vigorous and reproductive pursuit of adhesion'.

The difference between viruses and germs, secondly, is different in structure. Bacteria has its basic structure, while the structure of viruses is simpler. It has only one gene, which is genetic material. It is coated with a layer of material, usually protein, so it has a simple structure and cannot reproduce by itself. That's why It has to be transmitted to the human body or other organisms, or even to bacteria, to reproduce offspring. Therefore, after the virus invades the human body, it uses the material in the cell to reproduce its own offspring.

In other words, in terms of the 'organic, vigorous and reproductive pursuit of adhesion' of the Covid-19 virus, the Covid-19 virus is the above-mentioned dog tick, and humans are the host 'dogs' that are jumped on by the above-mentioned dog ticks.

Since the dog tick will wait for an opportunity at the tip of the grass branch, once it feels the smell and body temperature of the host dog, it will immediately jump up and attach to the dog's body to start sucking blood and breeding.

So how did the Covid-19 virus find its host humans?

What about the 'inorganic inanimate quantum nanoscale electrostatic adhesion' of the above-mentioned moon dust?

Or is it the 'organic, vigorous and reproductive pursuit of adhesion' that the dog tick will immediately jump on and attach to the host dog's body to start sucking blood and breeding, when it feels the smell and body temperature of the host dog?

Or even the above 'both'?

An 'extra-medical' study using 'ancient alien high-tech civilization' combined with modern 'computer artificial intelligence' found that human beings maintain their 'form of life and destiny' in a 'life cycle' after they are born. On certain dates, human immunity or vitality will be particularly fragile, and each person’s dates are different. During these dates, the human body’s declining human magnetic field will particularly form a "Quantum Nanolevel Breakthrough Gap of the Human Magnetic Field's Protective Circle Shield" (that is, 'disease and life-dangers'.).

In other words, on these certain dates when everyone is different, humans are particularly 'easy to get sick, or get hurt, or get killed'.

Please refer to the information published on the official website http://myfatebook.com for details.

Because human immunity or vitality has formed a "Quantum Nanolevel Breakthrough Gap of the Human Magnetic Field's Protective Circle Shield" (that is, 'disease and life-dangers'.) on these dates, allowing the Covid-19 virus to 'initiatively, actively and easily' adhere to and attach to the human body and get infected.

In other words, lions, cheetahs, tigers, and jackals can easily smell by nature which one in a herd is injured and is the easiest to be hunted.

Since the Covid-19 virus has the 'organic, vigorous and reproductive pursuit of adhesion', it can of course 'sense' which humans in a crowd are particularly 'easy to get sick, or get hurt, or get killed' with "Quantum Nanolevel Breakthrough Gap of the Human Magnetic Field's Protective Circle Shield" (that is, 'disease and life-dangers'.), through its 'inorganic inanimate quantum nanoscale electrostatic adhesion', who allow the Covid-19 virus to 'initiatively, actively and easily' adhere to and attach to the human body with declined Human Magnetic Field on these dates and get infected.

Even if it is a doctor or a nurse with strict protection against epidemics, during the execution of duties in the hospital, because on their personal special days they are 'easy to get sick, or get hurt, or get killed' with "Quantum Nanolevel Breakthrough Gap of the Human Magnetic Field's Protective Circle Shield" (that is, 'disease and life-dangers'.), it will cause the Covid-19 virus to 'initiatively, actively and easily' adhere to and attach to the human body with declined Human Magnetic Field on these dates and get infected, by both above-mentioned 'inorganic inanimate quantum nanoscale electrostatic adhesion' and 'organic, vigorous and reproductive pursuit of adhesion'.

Therefore, even though the dentist in Tainan had been received the AZ vaccine for two weeks, and also wearing N95 mask, goggle, gloves, and a full set of protective clothing, he was still diagnosed with Covid-19 infection. The female nurse who accompanied him was also diagnosed with infection. According to a report by Taiwan EBC News, Tainan City Health Director Xu Yilin said in an interview that after the first dose of AZ vaccine, 70% of the protection can be achieved. Even if both doses are 'completely vaccinated', you still have to wear a mask to protect yourself, 'because no vaccine is 100% anti-epidemic'. Therefore, the answer to the real epidemic prevention effect of vaccines is very clear.

The dentist and nurse, two persons, who were diagnosed with the infection, did not know on the date they were infected, it was their mutual personal special day they were 'easy to get sick, or get hurt, or get killed' with formation of "Quantum Nanolevel Breakthrough Gap of the Human Magnetic Field's Protective Circle Shield" (that is, 'disease and life-dangers'.). It will cause the Covid-19 virus to 'initiatively, actively and easily' adhere to and attach to these two human bodies with declined Human Magnetic Field on this date and get infected, by both above-mentioned 'inorganic inanimate quantum nanoscale electrostatic adhesion' and 'organic, vigorous and reproductive pursuit of adhesion'.

Even the astronaut’s space protective clothing is completely unable to prevent the same nanoscale lunar dusts from invading the astronaut’s lungs with its 'inorganic inanimate quantum nanoscale electrostatic adhesion' and causing permanent damage.

As the above dentist and nurse only received AZ vaccine for two weeks, they also wore N95 masks, goggles, gloves, and a full set of protective clothing, expected to be completely safe on their personal special day they were 'easy to get sick, or get hurt, or get killed' with formation of "Quantum Nanolevel Breakthrough Gap of the Human Magnetic Field's Protective Circle Shield" (that is, 'disease and life-dangers'.), that is, using a 'huge large-hole mesh fishing net' to resist against the 'nanoscale penetration of the sharp arrows shot through the heart and lung'.

For the nanoscale Covid-19 virus that can only be seen with an electron microscope, humans are equivalent to not wearing protective clothing and masks, or even not wearing any clothes at all.

For lunar dusts, dog ticks, and nanoscale Covid-19 viruses, the 'herd immunity' advocated by human experts and scholars can only be understood by humans. Lunar dusts, dog ticks, and nanoscale Covid-19 viruses simply ignore it completely. Even if all herd of astronauts are in place, all herd of dogs are in place, and all herd of humans are in place, the result is all to be invaded.

Using 'AI computer artificial intelligence' through mobile phones or computers, the Internet can quickly and instantly provide people with the prediction information of the people’s personal 'list of the dates for disease (including Covid-19) and life-dangers in the next 100 days' for the people's reference, without any need for any invasive medical testing. It can prevent epidemics (including Covid-19) and life dangers 'before the event'. It is an 'extra-medical' alternative technology for solution that truly combines 'ancient alien high-tech civilization' with modern 'computer artificial intelligence' to prevent virus.

If you can know in advance that today is your personal special day, you are 'easy to get sick, or get hurt, or get killed' with formation of "Quantum Nanolevel Breakthrough Gap of the Human Magnetic Field's Protective Circle Shield" (that is, 'disease and life-dangers'.), can you be more carefully guarding against virus infections with caution? Our 'AI computer artificial intelligence' allows humans to 'know in advance the special dates of disease and life-dangers' and to prevent it.

Because human eyes can't see where the 'Covid-19 virus' is. People also don’t know the individual’s personal special day to become 'easy to get sick, or get hurt, or get killed' together with the formation of "Quantum Nanolevel Breakthrough Gap of the Human Magnetic Field's Protective Circle Shield". Therefore, the victims of the 'Covid-19 virus' are all invaded to get infected without seeing the virus and without knowing it.

Although everyone is waiting for the vaccine, it seems that even if the vaccine arrives, everyone has been vaccinated, and the virus crisis may not be lifted immediately.

Why did the husband and wife vendors in Changhua who sold grapes in Wanhua District, Taipei City get infected? Because when vendors selling grapes to collect money, which the customers in Wanhua District handed banknotes to them, the 'Covid-19 viruses' on cash waiting to invade the human body are completely invisible to their human eyes! And on this day, the immunity or vitality of the human bodies of these Changhua husband and wife vendors have both formed a "Quantum Nanolevel Breakthrough Gap of the Human Magnetic Field's Protective Circle Shield", which is enough to make the Covid-19 viruses 'initiatively, actively and easily' adhere to and attach to these Changhua husband and wife vendors with declined Human Magnetic Field on this day and get infected.

Therefore, the 'Covid-19 viruses' on the banknotes are completely invisible to human eyes. When market vendors collect money, bank clerks count banknotes, post office employees count banknotes or touch letters and packages, the viruses continue to 'initiatively, actively and easily' adhere to and attach to the humans who have formed a "Quantum Nanolevel Breakthrough Gap of the Human Magnetic Field's Protective Circle Shield" on this day and get infected. There is no exception when police officers perform duties, because if on the day the human body has formed a "Quantum Nanolevel Breakthrough Gap of the Human Magnetic Field's Protective Circle Shield", once it is formed, it is equivalent to no protection of the Human Magnetic Field's Protective Circle Shield at all.

The vaccine will not change at all after it is injected into the human body, but the virus will change at any time because of its simple structure, and it is also easy to change, and the virus has to change quickly in order to complete its 'organic, vigorous and reproductive pursuit of adhesion'.

The Covid-19 virus in countries around the world is changing everywhere. There are UK variants, India variants, Brazil variants, and South Africa variants. In the future, there must be 'Taiwan variants', 'Japan variants', or 'US variants' and so on. At present, the 'Vietnam Variants' can even integrate the 'India Variants' and the 'UK Variants'. The mutant virus has become more venomous and fierce, and it has become flu-like, and humans must face it for a long time.

After the first and second doses of the vaccine are finished, maybe there will be another third and fourth doses, or because of the endless changes in the virus, humans will not be able to finish the vaccine for a lifetime. This is something that even the President of the United States cannot guarantee you. And if there are too many vaccines, even if it is not infected, the human genes of the 'human race' probably have almost the same malfunction, 'especially that for reproductive offspring'. Because the principle of injecting virus vaccines into the human body is to try to block the 'reproductive power' of virus genes.

Isn't this the ultimate goal of the Covid-19 virus? As far as 'extraterrestrial alien high-tech civilization' is concerned, only the super 'Quantum Nanoscale Spread' of the 'Covid-19 virus' is enough to cause the 'genocide of the earth’s humans' which is more powerful than the result of 'genocide war of the earth’s humans'!

Otherwise, isn't the 'genocide event of tens of millions of people' in the history of 'Ancient Mayan civilization with tens of millions of people in the 8th century AD' the rapid result of the super 'quantum nanoscale spread' virus? Maybe the 'Earth Dinosaur Extinction Event' was also a rapid destruction caused by the super 'quantum nanoscale spread' virus!

Rather than 'only relying on vaccines to determine one's own life and death', it is better to strengthen the 'extra-medical' 'ancient alien high-tech civilization' combined with modern 'computer artificial intelligence' for alternative high-tech science and technology of 'virus prevention' to protect oneself.

The emergence of the Covid-19 virus has forced a halt to human activities in society, government, religion, education, economy, etc., resulting in 'huge amounts' of various losses. So far, mankind can only adopt the completely outdated and closed strategy of 'lockdown of country and city' used by communism society, together with outdated and closed medical science and technology, that is never to be 'lockdown of hospital' to lose its medical function, with solutions of 'post-infection detection, quarantine, and pre-infection vaccinations, but the protective effects and timeliness of the vaccines are still under observation'.

Almost everyone now has a mobile phone and a computer, and personal prediction information of 'list of the dates for disease (including Covid-19) and life-dangers in the next 100 days' can be obtained within a short period of time. The extremely fast and efficient protection of individuals is far beyond the extremely slow speeds of 'manual detection after infection' and 'manual injections of vaccines'.

In fact, those who should be forced to 'pause their activities' should only be those individuals who are particularly 'easy to get sick, or get hurt, or get killed'. They are the few individuals who have formed "Quantum Nanolevel Breakthrough Gap of the Human Magnetic Field's Protective Circle Shield" on that day. The vast majority of the population should not be forced to 'stop activities' on the 'same day'.

This is the major difference between 'high-tech civilization' and 'outdated low-tech civilization'. Could it be possible that there are 'detection, quarantine, and vaccines', that are in the outdated and closed medical technology, for personal 'injuries and deaths out of car accidents' as the solutions of prevention? A lazy, silly, ignorant 'outdated low-tech civilization', that is always staying in place without knowing how to progress, and not willing to be evolved, is very likely to be like the 'ancient Mayan civilization with a population of tens of millions in the 8th century AD that was suddenly forced to take all activities to be stopped and genocide', and the 'Earth Dinosaur Extinction Event', to be suddenly extinct by the Covid-19 virus!

People in the past had no weather forecasts at all, and they still lived their lives. If modern people do not have weather forecasts, they may not be able to get used to daily life. Because fishing at sea is very likely to encounter the risk of injury and death from natural disasters such as 'typhoons and hurricanes'.

Before the emergence of the Covid-19 virus, modern people have no idea what is the prediction information of a personal 'list of the dates for disease (including Covid-19) and life-dangers in the next 100 days', and they still live their lives.

However, once the 'viruses become flu-like', humans must face it for a long time. If people in the future do not know the prediction information of a personal 'list of the dates for disease (including Covid-19) and life-dangers in the next 100 days', they may not be able to get used to daily life routines. At least, doctors, nurses, police officers, firefighters, civil servants working at health centers, county, urban and township offices, fighting on the frontline of epidemic prevention, might completely 'dare not blindly and also do not know how to safely go to the frontline of epidemic prevention operations'.

Just like Taiwan, even if the people have been living in safety for more than a year, once a severe virus epidemic occurs, they must 'lockdown the country and the city' at any time and return to the 'primitive life of the Stone Age'. And Taiwan, with a population of 23 million, if it can live safely for more than a year, it is still not enough to represent that it will be able to live safely forever from then on. Then a country that 'does not understand evolution at all and is outdated with low-tech civilization' can resist the 'future virus' that is 'in simple structure, ever-changing, and highly evolved'?

Never to make 'Herd Immunity against Covid-19' to become 'Herd Genocide by Covid-19'.

The prediction information of the people’s personal 'list of the dates for disease (including Covid-19) and life-dangers in the next 100 days'

'Research and Development' since 1987-05-22

'研究與開發' 始於 1987 年 5 月 22 日

Official Website 1: (registered on 2017-06-08)

官網 1: (2017 年 6 月 8 日註冊)

Official Website 2: (registered on 2017-03-29)

官網 2: (2017 年 3 月 29 日註冊)

Videos 影片:

https://youtube.com/channel/UCyHT7YOQfGA7OObZk8v9ZvA

Media 媒體:

https://orionandhsu.blogspot.com/2021/06/the-governments-responsibilities-to.html

https://orionwebmuseum.blogspot.com/2021/06/the-governments-responsibilities-to.html

https://taiwanwebmuseum.blogspot.com/2021/06/the-governments-responsibilities-to.html

...

永遠不要讓「對抗 Covid-19 的群體免疫」變成「Covid-19 造成的群體滅絕」。

主旨：

政府對防疫前線作戰醫護警消等公務員的責任

說明：

政府有責任必須明確告知於防疫前線作戰的醫生、護理師、警察、消防員、衞生所、縣市區鄉鎮公所等公務員，目前已有能夠預測其個人形成「量子奈米級防護破口」日期的電腦科學技術，並由政府負擔提供此個人資訊之所有一切費用。否則，政府若未能予以充分告知此種資訊，致造成這些人員於防疫前線作戰時，雖然具備有全套防護衣及口罩，卻仍不幸染疫身亡，政府負責人即應屬具備犯刑法「應作為而不作為之明知而故意殺人」之成立要件事實。

辦法：

一、Covid-19 病毒產生後，全球竟突然同時冒出很多的各國病毒專家學者，不知道是在地球那裏學到了很多對抗 Covid-19 病毒的「虛偽」知識，其實是在拿人民的生命當作實驗品，邊學習邊教育邊命令，卻通通都不完全了解此病毒，不然不會有那麼多在防疫前線作戰的醫生、護理師、警察、消防員、衞生所、及政府各單位的「高級知識份子」公務員，雖然具備有全套防護衣及口罩，卻仍然不幸染疫身亡。

(中央社新德里4日綜合外電報導) 印度裔美國傳染病專家卡比拉 (Rajendra Kapila) 醫生 2021 年 5 月 3 日染疫病逝，他生前曾接種兩劑美國輝瑞大藥廠 (Pfizer) 疫苗，但仍不敵印度變異病毒。

二、在遭到 COVID-19 疫情攻擊的印度，目前已經有超過一千名醫生不幸染疫過世。難道這些懂英文又完全看得懂全球醫學雜誌文獻的「高級醫學知識份子」醫生都完全不懂得穿戴好全套防護衣及口罩，卻直接把自己送給 COVID-19 病毒遭感染而過世嗎？說不定這些醫生的醫學知識，個個都比我們防疫指揮中心的醫生們聰明多多，卻不幸都染疫過世了。

三、因為對「量子奈米級 Covid-19 病毒」而言，這些所謂「高級醫學知識份子」醫生之腦袋裡所知道的對抗 Covid-19 病毒的「虛偽」知識，也是最近才向全球那些突然同時冒出來的很多各國病毒專家學者們學習的。這些就有點像是用大目漁網去圍堵小至電子顯微鏡才能看得見的「量子奈米級 Covid-19 病毒」，且又是瞎子摸象、只知其一而不知全部也。「量子奈米級的學問無知」就直接害死了全球數萬名這些「高級醫學知識份子」的醫生。那麼我們這些毫無「高級醫學知識」的公務員與普通老百姓人民又要如何能夠保護自己呢？

四、宇宙太陽系中，由於地球磁場的存在，太陽風在經過地球表面的時候，地球磁場會形成一個有效的保護圈防護罩，而這個保護圈防護罩會隔絕了大部分的帶電太陽風粒子，這使得太陽風必須繞過地球，無法對地球上生活的人類形成毀滅性的傷害，故地球磁場充當了地球守護者的角色。

人體也是一個奈米級的宇宙太陽系。人體也有人體磁場的存在，當奈米級帶靜電病毒經過人體表面附近的時候，人體磁場也會形成一個有效的保護圈防護罩，而這個保護圈防護罩將隔絕了大部分的奈米級帶靜電病毒，這使得奈米級帶靜電病毒也必須繞過人體，無法對人體形成附著、黏著、侵入性的傷害，故人體磁場亦充當了人體守護者的角色。

但是在某些日期中，人類的免疫力或是生命力將特別脆弱，且每個人的日期都是不盡相同。因為充當人體守護者角色的人體磁場在這一天竟然衰退了，無法形成一個有效的保護圈防護罩，而這個保護圈防護罩本來應該會隔絕大部分的奈米級帶靜電病毒的，反而卻使得奈米級帶靜電病毒完全不會繞過人體，而直接對人體形成附著、靜電黏著、侵入性的傷害。

因為人類的免疫力或是生命力在此日期中，已經不幸形成了「量子奈米級的人體磁場保護圈防護罩破口」。

一般對抗 Covid-19 病毒的「虛偽」知識是教育大家，Covid-19 病毒的傳播途徑是「藉由近距離飛沫、直接或間接接觸帶有病毒的口鼻分泌物、或無呼吸道防護下長時間與確診病人處於 2 公尺內之密閉空間裡，將增加人傳人之感染風險。但是目前對新型冠狀病毒 SARS-CoV-2 的完整傳播途徑，尚未完全瞭解。」(此資料係直接引述自衞生福利部疾病管制署的網站資料內容 https://www.cdc.gov.tw/Category/Page/vleOMKqwuEbIMgqaTeXG8A )，因此穿戴全套防護衣及口罩，成了醫生們認為是「萬無一失」的防護配備。

但是當人類的免疫力或是生命力在某些日期中，已經不幸形成了「量子奈米級的人體磁場保護圈防護罩破口」。則因為人體是活動的，不是靜止不動的，也一定會呼吸空氣，因此靠著活動及呼吸摩擦空氣、接觸物件、穿戴防護衣等等，將立即形成「人體靜電」，一旦在某些日期中不幸形成了「量子奈米級的人體磁場保護圈防護罩破口」，則奈米級帶靜電病毒也必然不再繞過人體，反而因人體靜電的作用力而直接吸引住大量病毒，並對人體形成直接附著、黏著、侵入性的傷害。

此時，全套防護衣及口罩，對於小至電子顯微鏡才能看得見的「量子奈米級 Covid-19 病毒」而言，是毫無防護效果的。因此，全球數萬名醫生就這樣在其個人的特殊不幸形成了「量子奈米級的人體磁場保護圈防護罩破口」日期當中，都不幸染疫身亡了。

這就像是賭命而不幸賭輸沒命了，完全不知道自己在未來那一天於某些日期中，會不幸形成「量子奈米級的人體磁場保護圈防護罩破口」。在此日期中個人將毫無「人體磁場」的保護圈防護罩，只有「人體靜電」，反而將吸引住大量帶靜電病毒，並對人體形成直接附著、黏著、侵入性的傷害。

科學界已經發現「月球粉塵為奈米級粒子」，具「無機無生命力的量子奈米級靜電黏着力」，能夠輕易地滲透侵入太空人的防護衣，且強力黏著而完全無法清除，因此造成太空人的肺部嚴重受損。

因為登月太空人是活動的，不是靜止不動的，也是會呼吸太空面罩裡的氧氣，因此靠著活動及呼吸造成摩擦氣流、接觸物件、穿戴太空防護衣等等，將立即形成「人體靜電」，足以吸引奈米級粒子的月球粉塵大量侵入肺部而嚴重受害。

因此，四十多年來，美國再也沒有派出太空人登陸月球，其道理同上。

五、英國每日郵報 2021 年 5 月 29 日報導，44 歲的女主播夏莉莎 (Lisa Shaw) 於月中施打第一劑 AZ 疫苗，一周後開始嚴重頭痛，幾天後病情惡化，因血栓及腦出血住進皇家維多利亞醫院加護病房，21 日下午病逝，令親友們悲痛不已。

六、假如詳細檢視個人「於未來 100 日內的疫病 (含 Covid-19) 與生命危險日期名單」之預測資訊 (請參閱下方說明) 中，自疫苗注射日期起十日(含)期間內若含有「疫病與生命危險日期」者，則明顯此個人之疫苗注射日期為極度不適合，應該延期施打，另擇自疫苗注射日期起十日(含)期間內全無「疫病與生命危險日期」者，為其個人之最佳疫苗注射日期。

七、「不願意施打疫苗」或是「不適合施打疫苗」的人民，或是不管「有無施打過疫苗」卻要進入「病毒感染熱區」地區的人士，都將特別需要「電腦人工智慧的預防科學保護」，以預先知道個人於未來 100 日內，其衰退的人體磁場將要特別形成「量子奈米級的人體磁場保護圈防護罩破口」(亦即「疫病與生命危險」) 的日期。

而在這些特殊日期中，必須積極作出必要的人身防護措施 (例如：行動特別地戒慎恐懼、不出門、出門則盡量戴手套不接觸物體、少談話、盡量保持 2 公尺以上的社交距離、不在陌生公共的位置上坐下、或是避免進入病毒感染熱區……等等，積極避免因為自身人體在空氣中的摩擦活動與呼吸動作，此將產生人體靜電，然後吸引住週遭環境中的大量奈米級帶靜電病毒，而直接受到病毒的靜電黏著侵害)。

Covid-19 病毒的「量子奈米級傳播」讓人民特別需要「電腦人工智慧的預防科學保護」。

科學界已經發現「月球粉塵為奈米級粒子」，具「無機無生命力的量子奈米級靜電黏着力」，能夠輕易地滲透侵入太空人的防護衣，且強力黏著而完全無法清除，因此造成太空人的肺部嚴重受損。四十多年來，美國再也沒有派出太空人登陸月球。

Covid-19 是病毒。但病毒和病菌是不一樣的。病菌就是細菌，當某些細菌進入我們身體後，又使人生病，就叫病菌。

病毒和病菌的差別有很多，第一，是大小，它們大小差很多，病菌是病毒的一千倍大。一般病菌肉眼看不到，必須使用顯微鏡才能看得到它們。

但病毒又比細菌更小，一般顯微鏡也是看不到，必須要使用電子顯微鏡才可以看得到它們。

Covid-19 是屬於病毒類，如前所言，因為病毒比細菌更小一千倍，算是與月球粉塵般，皆為「奈米粒子」，因此若是具備有上開的「無機無生命力的量子奈米級靜電黏着力」或是下開「有機有生命力繁殖性的追求附著力」，即能夠「主動又積極而輕易地」滲透侵入任何保護人體的防護衣及口罩的側邊空隙。

甚麼是「有機有生命力繁殖性的追求附著力」呢？

在日常生活中，假如讓乾淨的家犬跑過草地，則狗壁蝨會在草枝尖端伺機而動，一旦感受到狗狗的氣味和體溫時，便會立即跳上並依附在狗狗身體上開始吸血準備繁殖後代。

此種狗壁蝨為了依附在狗狗身體上吸血並藉以繁殖後代的「主動又積極而輕易地」跳上並依附在狗狗身體上的生命反射動作，就是「有機有生命力繁殖性的追求附著力」。

病毒和病菌的差別，第二，構造不同。細菌有它基本的構造，而病毒的構造更簡單，它只有一個基因，就是遺傳物質，其外再包覆一層物質，通常是蛋白質，所以它的構造很簡單，也無法自己繁殖，這就是為什麼它要傳染到人體中或其它生物體中，甚至可以傳染給細菌，用以繁殖後代。所以病毒侵入人體後，利用細胞內的物質來繁殖它自己的後代。

也就是說，以 Covid-19 病毒的「有機有生命力繁殖性的追求附著力」而言，Covid-19 病毒就是上開狗壁蝨，而人類就是上開狗壁蝨跳上的宿主「狗狗」。

狗壁蝨既然會在草枝尖端伺機而動，一旦感受到宿主狗狗的氣味和體溫時，便會立即跳上並依附在狗狗身體上開始吸血繁殖。

那麼 Covid-19 病毒倒底是如何找上宿主人類呢？

倒底是上開月球粉塵的「無機無生命力的量子奈米級靜電黏着力」呢？

還是上開狗壁蝨於一旦感受到宿主狗狗的氣味和體溫時，便會立即跳上並依附在宿主狗狗身體上開始吸血繁殖的「有機有生命力繁殖性的追求附著力」呢？

甚至於，還是以上這「兩者」都是呢？

以「遠古外星高科技文明」結合現代「電腦人工智慧」的「醫學外」研究發現，人類自出生以後，即是以「生命週期」維持「生命型態與命運」。在某些日期中，人類的免疫力或是生命力將特別脆弱，且每個人的日期都是不盡相同。在這些日期中，人類衰退的人體磁場將要特別形成「量子奈米級的人體磁場保護圈防護罩破口」(亦即「疫病與生命危險」) 。

也就是說，在這些每個人都是不盡相同的某些日期中，人類特別「容易生病、或是受傷、死亡。」。

請參閱並詳見官網 http://myfatebook.com 上所發布的資訊。

因為人類的免疫力或是生命力在此日期中，已經形成「量子奈米級的人體磁場保護圈防護罩破口」(亦即「疫病與生命危險」) ，而讓 Covid-19 病毒「主動又積極而輕易地」黏着並附着於人體而確診。

也就是說，獅子、獵豹、老虎、豺狼都可以憑其天性輕易地以氣味聞出牛群中有那匹獵物是受傷且是最容易被獵殺的。

而 Covid-19 病毒既然有「有機有生命力繁殖性的追求附著力」，當然可以透過其「無機無生命力的量子奈米級靜電黏着力」在人群中「感應到」人類特別「容易生病、或是受傷、死亡。」的「量子奈米級的人體磁場保護圈防護罩破口」(亦即「疫病與生命危險」) ，而讓 Covid-19 病毒「主動又積極而輕易地」於此日期黏着並附着於此衰退人體磁場的人體而確診。

縱使是防疫保護嚴謹的醫生或是護理師，在醫院執行勤務中，因為在其個人的特別「容易生病日或是受傷日、死亡日。」形成「量子奈米級的人體磁場保護圈防護罩破口」(亦即「疫病與生命危險」) ，將造成 Covid-19 病毒「主動又積極而輕易地」共同以上開「無機無生命力的量子奈米級靜電黏着力」及「有機有生命力繁殖性的追求附著力」於此日期侵入該衰退人體磁場的人體而造成確診。

因此，在台南的牙醫師，儘管已經打了 AZ 疫苗兩周，也戴了Ｎ95 口罩、護目鏡、手套及穿著全套防護衣，還是遭到感染確診，隨同的女護理師，也同樣遭到染疫確診，據《東森新聞》報導，台南市衛生局長許以霖受訪時表示，AZ 疫苗打完第一劑，可達七成保護力，即使兩劑都「完整接種」打完，還是得戴口罩保護自己，「因為沒有疫苗是 100％防疫的。」。所以，疫苗的真正防疫效果，答案已經很明確。

這兩位感染確診的牙醫師與護理師都不知道在其確診的當天日期，正是他(她)們兩人共同的個人特別「容易生病日、或是受傷日、死亡日。」的形成「量子奈米級的人體磁場保護圈防護罩破口」日期，將造成 Covid-19 病毒「主動又積極而輕易地」共同以上開「無機無生命力的量子奈米級靜電黏着力」及「有機有生命力繁殖性的追求附著力」在此日期侵入該兩位衰退人體磁場的人體而造成確診。

連太空人的太空防護衣都完全無法防範同樣是奈米級的月球粉塵以其「無機無生命力的量子奈米級靜電黏着力」侵入太空人的肺部，並造成永久性的傷害。

則當上開牙醫師與護理師僅僅打了 AZ 疫苗兩周，也戴了Ｎ95 口罩、護目鏡、手套及穿著全套防護衣，就想要徹底防範在其個人特別「容易生病日或是受傷日、死亡日。」的形成「量子奈米級的人體磁場保護圈防護罩破口」當天能夠完全安全無虞，那就是用「鉅大龐大的大孔網目漁網」去抵抗「奈米級的穿心透肺利箭」了。

針對以電子顯微鏡才能夠看得到的奈米級 Covid-19 病毒來說，人類等於是完全沒有穿上防護衣及戴上口罩，甚至於是完全沒有穿上任何衣服的。

而對月球粉塵、狗壁蝨、與奈米級的 Covid-19 病毒而言，人類的專家學者所主張的「群體免疫」，只有人類才聽得懂，月球粉塵、狗壁蝨、與奈米級的 Covid-19 病毒則完全不會理會之。縱使是全部太空人群體到位、所有狗狗也群體到位、與所有人類都群體到位，結果也都是一律通通侵入之。

以「AI 電腦人工智慧」透過手機或電腦互聯網 Internet 能夠迅速而即時地提供人民個人「於未來 100 日內的疫病 (含 Covid-19) 與生命危險日期名單」之預測資訊給人民参考，完全不需要任何侵入式的醫學檢測，即可預防疫病 (含Covid-19) 與生命危險於「事前」，是真正地以「遠古外星高科技文明」結合現代「電腦人工智慧」的「醫學外」另類高科技預防病毒解決方案。

當您能夠預先知道今天是您個人的特別「容易生病日或是受傷日、死亡日。」，亦即形成「量子奈米級的人體磁場保護圈防護罩破口」日期時，您是否能夠更加戒慎恐懼地防範病毒感染呢？我們的「AI 電腦人工智慧」可以讓人類於事先「預先知道疫病與生命危險的特別日期」而加以防範之。

因為人類的眼睛完全看不見「Covid-19 病毒」在那裏？人們也完全不知道個人的特別「容易生病日、或是受傷日、死亡日。」，亦即完全不知道形成「量子奈米級的人體磁場保護圈防護罩破口」的日期，因此目前感染「Covid-19 病毒」的受害者，都是在看不到病毒、且完全不知情的狀況下而染疫受害的。

儘管大家都在等疫苗，但似乎是縱使疫苗到了，大家也都打了，也不見得病毒危機就可以馬上解除。

為何在台北市萬華區賣葡萄的彰化夫妻攤販會染疫呢？因為賣葡萄收錢時，人類的眼睛是完全看不見「Covid-19 病毒」就在萬華區客戶遞給鈔票上面等著侵入人體啊！而在這一天，這對彰化夫妻攤販的人體免疫力或是生命力，又已經形成「量子奈米級的人體磁場保護圈防護罩破口」，足讓 Covid-19 病毒「主動又積極而輕易地」黏着並附着於彰化夫妻攤販在這一天衰退人體磁場的人體上而確診。

因此，在鈔票上面且人類的眼睛是完全看不見的「Covid-19 病毒」就在市場攤販收錢、銀行行員數鈔、與郵局職員數錢或是觸摸信件及包裹時，病毒不斷「主動又積極而輕易地」黏着並附着於當天已經形成「量子奈米級的人體磁場保護圈防護罩破口」的人類而感染。當警員執行勤務時也毫不例外，因為當天若人體的「量子奈米級的人體磁場保護圈防護罩破口」一旦形成，等於是毫無人體之人體磁場保護圈防護罩保護。

疫苗在打入人體後完全不會變化，但病毒卻因為構造簡單而隨時都會變化，也容易改變，且病毒為了完成其「有機有生命力繁殖性的追求附著力」而不得不迅速變化。

世界各國的 Covid-19 病毒正到處都在變化，有英國變種，有印度變種，有巴西變種，有南非變種，那將來就一定會有「台灣變種」、「日本變種」、或是「美國變種」等等。目前「越南變種」竟然還可以綜合「印度變種」與「英國變種」。變種病毒變得又毒又猛，已經快成流感化，人類必須長期面對之。

疫苗第一劑、第二劑打完，說不定還要再來個第三劑、第四劑，也可能因為病毒變化無窮而人類將要一輩子打不完。這一點是連美國總統都無法向您掛保證的。而疫苗打多了，縱使未染疫，大概「人類種族」之人體基因「尤其是繁殖後代」的機能也差不多了。因為病毒疫苗打入人體的原理就是設法阻斷病毒基因的「繁殖力」。

難道這不正就是 Covid-19 病毒產生的終極目標嗎？對「外星高科技文明」而言，應該是只有「Covid-19 病毒」的超級「量子奈米級傳播」，才足以造成比「地球人類種族滅絕戰爭」更強效的「地球人類種族滅絕」結果吧！

不然歴史上「公元 8 世紀時具有千萬人口數的瑪雅古文明」之「千萬人口種族滅絕事件」不正就是超級「量子奈米級傳播」病毒所快速造成的結果嗎？說不定「地球恐龍滅絕事件」也是超級「量子奈米級傳播」病毒所快速造成的毁滅呢！

與其「完全只能夠單獨靠疫苗來決定自己的生死」，倒不如加強「遠古外星高科技文明」結合現代「電腦人工智慧」的「醫學外」另類高科技「預防病毒」科學技術保護自己。

Covid-19 病毒的產生，已經讓人類的社會、政府、宗教、教育、經濟、……等等活動被迫停頓，造成「鉅額」的各項損失。人類至今只能採取共產主義社會所擅用之全面落伍又封閉的「封國封城」策略，以及醫學科技落後封閉，卻永遠無法被「封院」而失去醫療功能的「感染後檢測、隔離、及感染前施打疫苗，但疫苗之防護效果與防護時效性皆尚在觀察中」的解決方案。

現在每個人幾乎都有手機與電腦，個人「未來 100 日內的疫病 (含Covid-19) 與生命危險日期名單」之預測資訊，幾乎每個人皆可在短時間內取得。其防護個人的極快速度與效率，遠非「感染後人工檢測」與「人工施打疫苗」的極慢速度所能比擬。

其實應該被迫「活動停頓」者，應該只是當天個人特別「容易生病、或是受傷、死亡。」者，亦即當天個人形成「量子奈米級的人體磁場保護圈防護罩破口」的少數人口，絕大部分人口不應該在「同日」也被迫「活動停頓」。

這就是「高科技文明」與「落伍低度科技文明」的重大差別。難道個人的「車禍受傷死亡」也有醫學科技落後封閉的「檢測、隔離、疫苗」可作為預防的解決方案嗎？一個懶惰、愚昧、無知、老是在原地踏步而不懂得進步、又不想被進化的「落伍低度科技文明」，極有可能就會像歴史上「公元 8 世紀時具有千萬人口數的瑪雅古文明突然被迫將所有一切活動停頓而種族滅絕」與「地球恐龍滅絕事件」般，被 Covid-19 病毒給突然滅種了呢！

以前的人完全沒有氣象預測，照樣生活過日子。現代的人如果沒有氣象預測，可能無法習慣於日常生活。因為出海捕魚就極有可能會遇到「颱風、颶風」等天災受傷與死亡風險。

現代的人在 Covid-19 病毒尚未出現之前，完全不知道甚麼是個人「未來 100 日內的疫病 (含Covid-19) 與生命危險日期名單」之預測資訊，也是照樣生活過日子。

但是一旦「病毒流感化」，人類必須長期面對之，未來的人如果不知道個人「未來 100 日內的疫病 (含Covid-19) 與生命危險日期名單」之預測資訊，可能將無法習慣於日常生活路線。至少，於防疫前線作戰的醫生、護理師、警察、消防員、衞生所、縣市區鄉鎮公所等公務員可能會完全「不敢盲目地、也不知道要如何安全地、上前線防疫作戰」。

就像台灣，縱使人民已經安全生活了一年多，但是一旦發生嚴重病毒疫情，就必須隨時要「封國、封城」，回復到「石器時代的原始生活」。而 2,300 萬人口的台灣，假如能夠安全生活一年多，尚不足以代表從此就能夠永遠安全生活一輩子，則一個「完全不懂得進化、而又落伍低度科技文明」的國家，抵抗得了「構造簡單、千變萬化、而又高度進化」的「未來病毒」嗎？

永遠不要讓「對抗 Covid-19 的群體免疫」變成「Covid-19 造成的群體滅絕」。

人民個人「於未來 100 日內的疫病 (含 Covid-19) 與生命危險日期名單」之預測資訊

地球磁場是地球的守護者，形成隔離太陽風的保護圈防護罩。人體磁場也是人體的守護者，形成隔離病毒流的保護圈防護罩。

...

永遠不要讓「對抗 Covid-19 的群體免疫」變成「Covid-19 造成的群體滅絕」。

Never to make 'Herd Immunity against Covid-19' to become 'Herd Genocide by Covid-19'.

主旨：

政府對防疫前線作戰醫護警消等公務員的責任

Subject:

The Government’s Responsibilities to Civil Servants such as Medical Care, Police, and Fire Brigade.

說明：

Description:

辦法：

Methods:

因為人類的免疫力或是生命力在此日期中，已經不幸形成了「量子奈米級的人體磁場保護圈防護罩破口」。

Because human immunity or vitality has unfortunately formed a "Quantum Nanolevel Breakthrough Gap of the Human Magnetic Field's Protective Circle Shield" on these dates.

因此，四十多年來，美國再也沒有派出太空人登陸月球，其道理同上。

Therefore, for more than 40 years, the United States has never sent an astronaut to land on the moon. The reason is the same as above.

Covid-19 病毒的「量子奈米級傳播」讓人民特別需要「電腦人工智慧的預防科學保護」。

The 'Quantum Nanoscale Spread' of the Covid-19 virus makes people especially in need of the 'Preventive Scientific Protection of Computer Artificial Intelligence'.

Covid-19 是病毒。但病毒和病菌是不一樣的。病菌就是細菌，當某些細菌進入我們身體後，又使人生病，就叫病菌。

Covid-19 is a virus. But viruses and germs are not the same. Germs are bacteria. When certain bacteria enter our body and make people sick, they are called germs.

病毒和病菌的差別有很多，第一，是大小，它們大小差很多，病菌是病毒的一千倍大。一般病菌肉眼看不到，必須使用顯微鏡才能看得到它們。

但病毒又比細菌更小，一般顯微鏡也是看不到，必須要使用電子顯微鏡才可以看得到它們。

However, viruses are smaller than bacteria, and they cannot be seen by ordinary microscopes. You must use an electron microscope to see them.

甚麼是「有機有生命力繁殖性的追求附著力」呢？

What is 'organic, vigorous and reproductive pursuit of adhesion'?

狗壁蝨既然會在草枝尖端伺機而動，一旦感受到宿主狗狗的氣味和體溫時，便會立即跳上並依附在狗狗身體上開始吸血繁殖。

那麼 Covid-19 病毒倒底是如何找上宿主人類呢？

So how did the Covid-19 virus find its host humans?

倒底是上開月球粉塵的「無機無生命力的量子奈米級靜電黏着力」呢？

What about the 'inorganic inanimate quantum nanoscale electrostatic adhesion' of the above-mentioned moon dust?

甚至於，還是以上這「兩者」都是呢？

Or even the above 'both'?

也就是說，在這些每個人都是不盡相同的某些日期中，人類特別「容易生病、或是受傷、死亡。」。

In other words, on these certain dates when everyone is different, humans are particularly 'easy to get sick, or get hurt, or get killed'.

請參閱並詳見官網 http://myfatebook.com 上所發布的資訊。

Please refer to the information published on the official website http://myfatebook.com for details.

也就是說，獅子、獵豹、老虎、豺狼都可以憑其天性輕易地以氣味聞出牛群中有那匹獵物是受傷且是最容易被獵殺的。

In other words, lions, cheetahs, tigers, and jackals can easily smell by nature which one in a herd is injured and is the easiest to be hunted.

針對以電子顯微鏡才能夠看得到的奈米級 Covid-19 病毒來說，人類等於是完全沒有穿上防護衣及戴上口罩，甚至於是完全沒有穿上任何衣服的。

For the nanoscale Covid-19 virus that can only be seen with an electron microscope, humans are equivalent to not wearing protective clothing and masks, or even not wearing any clothes at all.

儘管大家都在等疫苗，但似乎是縱使疫苗到了，大家也都打了，也不見得病毒危機就可以馬上解除。

Although everyone is waiting for the vaccine, it seems that even if the vaccine arrives, everyone has been vaccinated, and the virus crisis may not be lifted immediately.

…

Never to make 'Herd Immunity against Covid-19' to become 'Herd Genocide by Covid-19'.

永遠不要讓「對抗 Covid-19 的群體免疫」變成「Covid-19 造成的群體滅絕」。

The prediction information of the people’s personal 'list of the dates for disease (including Covid-19) and life-dangers in the next 100 days'

人民個人「於未來 100 日內的疫病 (含 Covid-19) 與生命危險日期名單」之預測資訊

地球磁場是地球的守護者，形成隔離太陽風的保護圈防護罩。人體磁場也是人體的守護者，形成隔離病毒流的保護圈防護罩。

...

Only the Birth Time and Male/Female Gender of the Person in view

只要被觀察者之出生時間及男女性別

The Earth Time Format based on the Universal Galaxy Time, Such as:

基準於宇宙銀河系時間的地球時間格式，例如:

1975/05/31/#02 Bi-Hour

AM 01:00–AM 03:00 (Early Midnight 今晨夜半)

YY/MM/DD/#?? Bi-Hour

年 / 月 / 日 /第?? 貳小時段

#?? Bi-Hour / 第?? 貳小時段:

#01 Bi-Hour PM 23:00 Last Night 前晚–AM 01:00 (Last Night 前晚 - Early Midnight 今晨夜半)

#02 Bi-Hour AM 01:00–AM 03:00 (Early Midnight 今晨夜半)

#03 Bi-Hour AM 03:00–AM 05:00 (Dawn 黎明破曉)

#04 Bi-Hour AM 05:00–AM 07:00 (Dawn 黎明破曉)

#05 Bi-Hour AM 07:00–AM 09:00 (Morning 早上)

#06 Bi-Hour AM 09:00–AM 11:00 (Morning 早上)

#07 Bi-Hour AM 11:00–PM 13:00 (Noon 中午)

#08 Bi-Hour PM 13:00–PM 15:00 (Afternoon 下午)

#09 Bi-Hour PM 15:00–PM 17:00 (Afternoon 下午)

#10 Bi-Hour PM 17:00–PM 19:00 (Nightfall 傍晚)

#11 Bi-Hour PM 19:00–PM 21:00 (Night 晚上)

#12 Bi-Hour PM 21:00–PM 23:00 (Midnight 深夜)

(After PM 23:00 = #01 Bi-Hour Tomorrow

深夜 PM 23:00 後是明日 #01 Bi-Hour)

Attention:

Human Fates are defined by 5 elements of Birth Time including Year, Month, Day, Hour, and Minute! Since Birth Minute element is always not available nowadays, therefore the fate data computed and illustrated by our Computer Artificial Intelligence Fate Robot have only 80% available accuracy!

80% available accuracy

注意事項：

人類的命運是由五大出生時間元素包含年、月、日、時、及分所定義！因為出生分鐘在目前為不可得知，因此由我們的電腦人工智慧命運機器人所計算解運的命運資料只有80％的有效精確度！

80％的有效精確度

Reference:

If you do not know the actual Bi-Hour of the birth time on that birth day of the person in view, then you have to enter in each Bi-Hour (12 in total) separately to identify the true one with the shown Fate Data and the Life Reality on some certain particular days of the person!

(1)

People born at the following 4 Bi-Hour time intervals are used to 'sleeping straight on the back' and facing 0 degree vertically upward to the sky Universe. They have 'one hair whirlpool' on the top and slight left of their heads.

#01 Bi-Hour PM 23:00 Last Night 前晚–AM 01:00 (Last Night 前晚 - Early Midnight 今晨夜半)

#04 Bi-Hour AM 05:00–AM 07:00 (Dawn 黎明破曉)

#07 Bi-Hour AM 11:00–PM 13:00 (Noon 中午)

#10 Bi-Hour PM 17:00–PM 19:00 (Nightfall 傍晚)

(2)

People born at the following 4 Bi-Hour time intervals are used to 'sleeping face down straight on the bed' and facing 180 degree vertically backward to the sky Universe. They have 'two hair whirlpools' on the top center of their heads.

#02 Bi-Hour AM 01:00–AM 03:00 (Early Midnight 今晨夜半)

#05 Bi-Hour AM 07:00–AM 09:00 (Morning 早上)

#08 Bi-Hour PM 13:00–PM 15:00 (Afternoon 下午)

#11 Bi-Hour PM 19:00–PM 21:00 (Night 晚上)

(3)

People born at the following 4 Bi-Hour time intervals are used to 'sleeping arched sideward on the side' and facing 90 degree horizontally sideward to the sky Universe. They have 'one hair whirlpool' on the top and slight left of their heads.

#03 Bi-Hour AM 03:00–AM 05:00 (Dawn 黎明破曉)

#06 Bi-Hour AM 09:00–AM 11:00 (Morning 早上)

#09 Bi-Hour PM 15:00–PM 17:00 (Afternoon 下午)

#12 Bi-Hour PM 21:00–PM 23:00 (Midnight 深夜)

參考：

假如您完全不知道被觀察人出生當日的正確貳小時段, 則您必須把合計12個貳小時段都各別輸入後, 再用所示命運資料與被觀察人在某些特定天數內之實際生活資料互為比對而獲得正確的貳小時段!

(1)

出生於下列四個貳小時段期間者，睡覺時習慣直身臉向上0度垂直朝向宇宙天空而'仰睡'。頭頂中心稍微偏左邊有'一個髮旋渦'。

#01 Bi-Hour PM 23:00 Last Night 前晚–AM 01:00 (Last Night 前晚 - Early Midnight 今晨夜半)

#04 Bi-Hour AM 05:00–AM 07:00 (Dawn 黎明破曉)

#07 Bi-Hour AM 11:00–PM 13:00 (Noon 中午)

#10 Bi-Hour PM 17:00–PM 19:00 (Nightfall 傍晚)

(2)

出生於下列四個貳小時段期間者，睡覺時習慣直身臉向下180度垂直背向宇宙天空而'俯睡'。頭頂中心有'兩個髮旋渦'。

#02 Bi-Hour AM 01:00–AM 03:00 (Early Midnight 今晨夜半)

#05 Bi-Hour AM 07:00–AM 09:00 (Morning 早上)

#08 Bi-Hour PM 13:00–PM 15:00 (Afternoon 下午)

#11 Bi-Hour PM 19:00–PM 21:00 (Night 晚上)

(3)

出生於下列四個貳小時段期間者，睡覺時習慣曲身臉向側90度朝向宇宙天空而'側睡'。頭頂中心稍微偏左邊有'一個髮旋渦'。

#03 Bi-Hour AM 03:00–AM 05:00 (Dawn 黎明破曉)

#06 Bi-Hour AM 09:00–AM 11:00 (Morning 早上)

#09 Bi-Hour PM 15:00–PM 17:00 (Afternoon 下午)

#12 Bi-Hour PM 21:00–PM 23:00 (Midnight 深夜)

官網 Official Website:

The Progress of Civilization

Ancient Chinese thought the sky is round and the earth is square.

Now we know that the sky is an infinite universe and the earth is a round planet.

The last Empress Dowager Cixi of the Qing Dynasty in China once supported a Chinese religious Kungfu army "Yi-he-tuan" fighting against Western troops equipped with guns and cannons, and then completely lost the war.

People in the 21st century only know to use vaccines to fight a virus pandemic, but people in the 23rd century will know in advance when they will face the virus in order to get rid of the virus infection and avoid the virus pandemic.

An advanced computer artificial intelligence researched and developed through the high technology of the far ancient alien civilization is incomprehensible to humans

A living vegetative person who is alive but comatose and without apparent brain activity or responsiveness, and in a state of deep unconsciousness for a prolonged (more than 150 days in this case) or indefinite period especially as a result of severe injury (a serious traffic accident occurred on July 6, 2020 in this case) or illness, and his treatment has been abandoned by the medical hospital system, but calculated by the above-mentioned computer artificial intelligence is to be awakened on February 13, 2021.

It's 'Quantum Physics Science' and not 'Medical Science'.

文明的進步

古代中國人認為「天圓地方」天空是圓的，地球是方形的。

現在我們知道天空是一個無限的宇宙，地球是一個圓形的行星。

中國清朝的最後一位慈禧太后曾經支持一支中國宗教功夫部隊「義和團」與配備槍支和大砲的西方軍隊作戰，然後徹底輸掉了這場戰爭。

21世紀的人們只知道用疫苗與病毒大流行作戰，但是23世紀的人們會提前知道自己何時將要面臨病毒的危險，以擺脫病毒感染並避免病毒大流行。

一項透過遠古外星文明的高科技技術研究開發的先進電腦人工智慧是人類所無法理解的

一位有生命的植物人，但其身體處於昏迷狀態，沒有明顯的大腦活動或反應，並且長時間 (在此例中超過150天) 或不確定的期間，處於深度無意識狀態，發生起源於嚴重傷害 (在此例中於2020年7月6日發生嚴重交通事故) 或疾病，其治療已被醫療醫院系統所放棄，但由上述電腦人工智慧計算得出的結果，將於2021年2月13日甦醒。

它是 '量子物理科學' 而不是 '醫療科學'。