It's easy to approach via chance of failure, ie no experiments work It's like flipping 100 coins and getting all tails, with biased coins that land on tails 99% of the time Chance of failure = (0.99)^100 = 36.6 % Chance of success = 63.3 %
-
-
Show this thread
-
For a little fun, I guess, I thought about it in a series. How often would you fail n experiments if it's a n/n-1 fail rate? It's tends toward a limit as n->inf of n/n-1 which is 1/e is about 0.36. I probably knew this back in calcpic.twitter.com/RSlY9teDNk
Show this thread
End of conversation
New conversation -
Loading seems to be taking a while.
Twitter may be over capacity or experiencing a momentary hiccup. Try again or visit Twitter Status for more information.