Last try for brother zg
zengrifter said:
Actually it does. You may not have really followed this thread carefully enough. zg
For example --
Suppose that an "ideal" (edgeless) fair coin is flipped again and again. A coin has two sides, head and tail, and therefore the event that "head or tail is flipped" is a sure event. There can be no other result from such a coin.
The infinite sequence of all heads (H-H-H-H-H-H-...), ad infinitum, is possible in some sense (it does not violate any physical or mathematical laws to suppose that tails never appear), but it is very, very improbable. In fact, the probability of tail never being flipped in an infinite series is zero. Thus, though we cannot definitely say tail will be flipped at least once, we can say there will almost surely be at least one tail in an infinite sequence of flips.
It is improbable that you will lose every trial in a negative EV game. A negative EV game means chance of winning is less than 1/2 and chance of losing is greater than 1/2.
It is also improbable that you will reach the limits of a very large bankroll by starting with 1 unit and doubling the bet after each loss.
Comparing above 2 data series:
Prob(one loss) = x/2 where x > 1 and x < 2 = (more than 1/2 & < 1)
Prob(n successive losses) = (x/2)^n
Bet after losing n successive trials = 2^n
Prob(n successive losses) = (x/2)^n -> 0 as n becomes large
Bet(n successive losses) = 2^n -> infinity as n becomes latge
For a negative EV game Prob(n successive losses) -> 0 at a slower rate than Bet -> infinity
Bankroll will run out before chance of losing all reaches 0.
Alternative proof: martingale works in a negative EV game if and only if what is depicted in the image is true.