Why do Biden's votes not follow Benford's Law?
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Channel: Stand-up Maths
Views: 2,219,875
Rating: 4.6968484 out of 5
Keywords: maths, math, mathematics, comedy, stand-up, matt parker, biden, trump, election, votes, benford, benford's law, chicago, totals, distribution, plot
Id: etx0k1nLn78
Channel Id: undefined
Length: 17min 45sec (1065 seconds)
Published: Tue Nov 10 2020
Please note that this website is currently a work in progress! Lots of interesting data and statistics to come.
His point about the last two digits of Trump's vote totals was interesting to me. I completely fell for the fake out of him implying it was a sign of foul play. A good reminder that you should be extra vigilant in double checking information that reinforces beliefs you already have.
The people that need this video aren’t going to understand it. Just like they don’t understand Benford’s law. They just heard it as an argument for their point and are blindly running with it.
pretty good but he quickly glosses over what he means by the first 1 or 2 digits in the data set, that could have been better illustrated
if I wasn't already a mathematical super-genius I might have been confused.
this rumor that benford's law indicated fraud voter fraud in this election started on 4chan /pol/ and quickly gained traction in /r/conservative and now they're all very proud
This is a fantastic example of how people (Trump supporters in this case) are good at finding patterns, even meaningless ones, and finding ways to use them to justify already held beliefs.
Jeez, I can’t wrap my head around this. Lead digits here means the first digit of total votes for a candidate in a precinct? So lead digit 1 would be 1 vote, 10-19 votes, 100-199 votes and 1000-largest precinct size votes?
Can someone explain to me the part when he says “The standard deviation is super tight; they are roughly grouped right around the middle.”
What does the standard deviation mean in this case? I’ve always had trouble remembering sd!
Good video in that he says the conclusion in the first minute and he provides an alternative statistical analysis (and also its flaws and how to analyze it).
TLDR please?
Interesting