How To Catch A Cheater With Math
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2022-06-25に共有
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コメント (21)
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I love the idea that these blobs are dull enough to be entertained by flipping coins, but clever enough to cheat at it.
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Imagine being the 3% of cheaters that had a weighted coin and still got only tails
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Given that the parameters are the game are: "The blob who flips heads feels happy," it might be possible that there are actually secret (deviant) tail-lovers amongst the blobs, who routinely cheat to "lose" more than expected.
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I leverage significance testing pretty heavily in my day-to-day job, and really loved the way you broke it down here! Particularly appreciate framing statistical power (true positive rate) on the same level as significance (false negative rate), when in most cases the conversation/focus really only extends to significance/p-vals. Going to spend a few minutes scrolling through to purge some of these spambots clogging up the comments, then on to the next vid :)
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the blobs have really evolved - from effectively wild creatures to gambling addicts
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Am I dreaming? A new Primer video? Can’t be.
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I thought I was gonna watch blobs with infidelity.
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Middle school me wishes there was a youtube channel or a teacher that made math as entertaining or as understandable as Primer does
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My heart aches for those wrongly accused blobs
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Let's say: if a cheater feels that someone is onto them, they will secretly switch to a fair coin. Then, we're suddenly very deep in the domain of games theory. A simple crossover that shows how quickly mathematical models become complex.
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I dont even watch these to learn a subject better, i just watch and listen to this for fun! Its actually pretty entertaining!
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I'm in love with idea how you approach the concept of frequentist hypothesis testing, which confuses so many. (from a statistics teacher). I will definitely recommend your video whenever we come to this part of the curriculum.
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Primer: "How To Catch A Cheater With Math " Dream: sweating profusely.
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I love how you take (sometimes boring) statistics concepts and explain them in a way that makes it simple and enjoyable for non-maths guys. Good job, my dude.
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I think the main outcome is that it is very difficult to catch someone cheating using statistics. You should use statistics to raise suspicions, but you shouldn't call them a cheater without further evidence. 5% or even 1% is just way too high of a false positive rate for 1000 players.
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14:36 Once a player gets 16 Heads or 8 Tails, there is no need to continue to the full 23 flips. 16 Heads = Cheater, 8 Tails = Fair. * I'm commenting as I watch = you might address this in a second...
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Love this video. I teach a graduate-level class on experimental design, but many of the students have forgotten a lot of the basic statistics by the time they take it. I'm bookmarking this as a potential reminder/class aid. Thanks!
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I was thinking of using stages where getting a certain percentage of heads puts you in a group that tests with significantly more flips. That brings the total number of flips needed down massively over having a whole group flip 50+ times.
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I love how your the only YouTuber that makes the zoom to fit look good! Thank you for making my day!
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Can’t believe you uploaded what is essentially a really interesting intro to statistics lecture
