Why was Biden's win calculated to be ONE IN A QUADRILLION?
Why Hacker News recommends it
Cited as a mathematician's debunking of numerical claims of 2020 election fraud.
What it is
Matt Parker of Stand-up Maths examines the Texas Supreme Court filing claiming Biden's 2020 win had a one-in-a-quadrillion chance. He walks through why the statistical argument is flawed.
Recommended by 1 HN commenters across 1 different months, 2020 to 2024.
What Hacker News said
Recommends nitrogen · 2020-12 · on “California Public Utilities Commission fired director who exposed missing $200M”
I am replying for the sake of the hidden sibling comment: I don't watch any major media coverage of politics, but a mathematician and comedian I follow on YouTube (from a different country who presumably has no horse in the race) has analyzed some of the numerical allegations of fraud: - [this video] - [LINK] - [LINK]
Cites nick238 · 2024-08 · on “Suspicious data pattern in recent Venezuelan election”
There were some pretty shit analysises of the 2020 US elections that Matt Parker covered with videos like "Why do Biden's votes not follow Benford's law?"[1] and "Why was Biden's win calculated to be 1 in 1,000,000,000,000,000?"[2]. I don't know about other countries, but the amount of data that every county in every US state produces makes systematic fraud pretty much impossible. If there's literally only 3 numbers produced by the Venezuelan government, you need to be seriously incompetent to have detectable fraud because techniques like Benford's or Zipf's law need lots of individual numbers. [1]: [LINK] [2]: [this video]
Critical ehsankia · 2021-01 · on “U.S. Capitol Locked Down Amid Escalating Protests”
> Can you link me to those majority of cases? [LINK] [LINK] And this third one just shows how much of a joke some of the claims in the lawsuits are: [this video] Like, this is basic high school level statistics they can't even get right.