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Expected maximum number of losses in a row ~ Hn/(− log(1−p)) - 1/2
log(n/p)/log(1/(1-p)) - 0.5772/log(1-p) - 0.5
log(1e07/0.877)/log(1/(1-0.877)) - 0.5772/log(1-0.877) - 0.5 = 7.529575
a1 = bet 1
a2 = bet 2
Which has a higher average amount lost, a1 or a2?
It can be shown: When
a1 > a2
For a bet sequences, s1 and s2, where each sequence contains any bets:
If sum(s1 sequence) > sum(s2 sequence), then s1 has a higher average loss.
It can be shown:
a1 = bet 1
a2 = bet 2
Which has a higher average amount lost, a1 or a2?
It can be shown: When
a1 > a2
For a bet sequences, s1 and s2, where each sequence contains any bets:
If sum(s1 sequence) > sum(s2 sequence), then s1 has a higher average loss.
It can be shown:
a1 = bet 1
a2 = bet 2
Which has a higher average amount lost, a1 or a2?
It can be shown: When
a1 > a2
For a bet sequences, s1 and s2, where each sequence contains any bets:
If sum(s1 sequence) > sum(s2 sequence), then s1 has a higher average loss.