dChan
Anonymous ID: a9d390 Oct. 7, 2020, 9:31 p.m. No.10977591   🗄️.is 🔗kun   >>7611 >>7642 >>7645

THE PROBABILITY OF A COVID INFECTED PERSON ARRIVING IN THE US ON THE SAME DAY AS PELOSI’S WALK OF SHAME IS 1 IN 131,509,750,000

 

>ONE IN ONE HUNDRED, THIRTY - ONE BILLION, FIVE HUNDRED NINE MILLION, SEVEN HUNDRED FIFTY THOUSAND

Anonymous ID: a9d390 Oct. 7, 2020, 9:39 p.m. No.10977700   🗄️.is 🔗kun   >>7723

Alright

I’m out

Figured out the damned probability of a covid infected person arriving same day as pelosi walks impeachment to senate (per Qs question)

And you faggots are more concerned about a damned fly.

ffs get your shit together it’s Qresearch not a damned Entomology research board.

 

You haven’t even taken account that frogs eat fucking flies. Can’t even get a good meme these days

Anonymous ID: a9d390 Oct. 7, 2020, 9:42 p.m. No.10977731   🗄️.is 🔗kun   >>7794

>>10977645

 

Probability= P(A) x P(B)

 

A= 16 Jan 2020 / 31 days in January

 

B= People arriving from china into the US from china in january 2020 -300,000

 

https://www.factcheck.org/2020/03/the-facts-on-trumps-travel-restrictions/

(sorry for crap sauce)

 

2 cases detected on 24 January 2020 from arrivals - no exact date given for their arrival - 24 Jan was when they were diagnosed with covid.

 

A= 1/31

B = 1/150,000

P= 1 in 4,650,000

Probability of a positive covid case entering the US on 16 Jan 2020

 

Add the same day Pelosi takes impeachment papers to senate and:

 

Constitution ratified 21 June 1788

number of days since then 84,845

There has only been three impeachment’s in US history where the papers were walked from house to senate. 3/84845= 28,281.66666666667

 

The probability of that happening is

 

1 in 131,509,750,000

 

For comparison:

  1. Odds of being called to “Come on down!” on The Price Is Right — 1 in 36

  2. Odds of being audited by the IRS — 1 in 160

  3. Odds of being involved in a drunk driving crash — 2 out of 3

  4. Odds of being born with 11 fingers or toes — 1 in 500

  5. Odds of winning an Oscar — 1 in 11,500

  6. Odds of finding a pearl in an oyster — 1 in 12,000

  7. Odds of being drafted by the NBA — 1 in 3,333 for men, 1 in 5,000 for women

  8. Odds of going blind after laser eye surgery — 1 in 5 million

  9. Odds of being injured by a toilet — 1 in 10,000

  10. Odds of dying in an airplane crash — 1 in 205,552

  11. Odds of getting killed by fireworks — 1 in 340,733

  12. Odds of being struck by lightning — 1 in 114,195

  13. Odds of becoming a billionaire — 1 in 3,170,290

  14. Odds falling to your death — 1 in 119

  15. Odds of getting attacked by a shark — 1 in 3,748,067

  16. Odds of winning $1 million in the McDonald’s Monopoly game — 1 in 451,822,158

  17. Odds of winning the Powerball jackpot — 1 in 292,000,000