Are you saying that HH causes an early failure for HT , instead of a potentially longer success HHHT? If so , it is poorly worded, to be ambiguous about how to count failures. (In the 4-6 variation, there are no failures)
Are you saying that HH causes an early failure for HT , instead of a potentially longer success HHHT? If so , it is poorly worded, to be ambiguous about how to count failures. (In the 4-6 variation, there are no failures)
flip coins
if HT or HH
stop
vs flip coins
if HT
stop
flip coins
if HH
stop
two different scenariosBut, if you are focussing on a particular scenario that you will flip coins until you get to HT, the average number of flips will be 4, and if you flip coins until you get to HH, the average number of flips will be 6.
I just find that really hard to grasp intuitively.
But, I still find it strange that if you are flipping with one particular scenario in mind, HT or HH, that the average number of flips goes from 3 to 4 or 6, even if I can reason it out with a bit of thinking.
Seems like you're just taking a biased sample, which cancels out the differences. To take an extreme example, imagine one candidate is HHHHHHHHHH and the other candidate is any other sequence of ten flips. In the "try until you get either one" scenario, the average number of flips for either one will be 10. Testing them independently, the average number of flips for the second one will be slightly over 10, and for HHHHHHHHHH it'll be huge.