How to create a biased coin and prove it with math
izbicki.me
izbicki.me
Toss the coin twice, if result is HH or TT, repeat. If result is HT or TH the result is either H or T (apriori selection of either the first or second toss, WLOG).
If you subscribe to frequentist statistics and use the null hypothesis of "coin is not biased", yes. But if you're a Bayesian you can compute the probability that the coin bias is greater than a given amount.
I would be more interested to understand to what extent each coin appears to statistically differ from a fair coin, and in fact that's what I imagined the article would cover, given the title.
Thanks for the link, I should include that inside the post somewhere. EDIT: Done.
One of the subtle lessons here is just how many tosses you have to make to get a high confidence level. In business, how often do we get that many rolls of the dice or tosses of the coin before having to decide? And what's that say about how confident we should be? (Perhaps this is way so many HN folks have pivoted)
maybe?
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If all your latest comments are grey, shed a tear for the time you've wasted.
(I don't know what the deal is with accidental hellbanning, but it seems to happen with some regularity).
I mailed him already for this user, though.