Odds of Losing 50 Coin Flips in a Row: Calculations & Betting

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SUMMARY

The discussion centers on the probabilities associated with betting on coin flips, specifically the odds of losing 50 consecutive flips. The odds of losing 50 coin flips in a row is calculated as 1 in 1.126 x 10^15, derived from the formula (1/2) to the 50th power. Additionally, the conversation highlights the Martingale betting strategy, noting its limitations when a maximum bet is imposed, and clarifies the odds of losing 8 consecutive flips as 1 in 256. The distinction between players who can quit when ahead versus those who must continue playing is also emphasized.

PREREQUISITES
  • Understanding of probability theory, specifically binomial distributions.
  • Familiarity with the Martingale betting strategy and its implications.
  • Basic knowledge of exponential calculations (e.g., powers of 2).
  • Concept of random walks in probability.
NEXT STEPS
  • Research the mathematical foundations of probability, focusing on binomial distributions.
  • Explore advanced betting strategies beyond the Martingale system.
  • Learn about random walks and their applications in gambling scenarios.
  • Investigate the implications of maximum betting limits on gambling strategies.
USEFUL FOR

This discussion is beneficial for mathematicians, gamblers, and anyone interested in the statistical analysis of betting strategies and probabilities in games of chance.

Tehepidemick
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If your betting on a coin flip but person a is the banker and person b can quit at any time, does person b have an advantage.

The martingale theory of doubling a losing bet doesn't work if there is a maximum bet. Start at 5 and going to the max of 1000 a person can bet 5,10,20,40,80,160,320,640.

So they can bet 8 times. The odds of losing 8 in a row are 1 in 128.

If there is no maximum bet, and the person can bet 50 times, what are the odds of losing 50 coin flips in a row.

I know it's something like (1/2) to the 50th power. But how does this translate into more usable numbers, such as 1 in whatever?

Would you feel comfortable placing a bet in this scenario?
 
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How did you get 128 for 8 tosses? Do the same thing with 50 to get the results for 50 tosses.

Oh, and by the way, you have the wrong answer for 8 tosses. It's 1 out of 256
 
Double post
 
phinds said:
How did you get 128 for 8 tosses? ( i googled it)

Do the same thing with 50 to get the results for 50 tosses.

Oh, and by the way, you have the wrong answer for 8 tosses. It's 1 out of 256

My math is wrong the first time, so do the same thing and get another wrong answer?

You see the irony here right
 
The probability of 8 consecutive coin flips with the same outcome is 2^n - 1, where n is the number of flips. The first iteration is free, that outcome is guaranteed. After that, it's a simple probability of 50-50 repeating the first outcome with each flip. The odds of 8 consecutive outcomes of the same result is 2^7, or 128 to one. If you insist the first outcome be 'heads', the probability becomes 256 to 1. If you wish to weird up the probabilities, you can always toss in the odds of the coin resting on its edge. That would constitute house odds for a coin flip casino game - sort of like green on the roulette wheel, but, a lower payout.
 
Tehepidemick said:
.

I know it's something like (1/2) to the 50th power. But how does this translate into more usable numbers, such as 1 in whatever?

2 to the tenth to the fifth power is equal to 2 to the 50th power. 2 to the tenth is about one thousand. Three zeros. So 2 to the 50th is about fifteen zeros, which is a quadrillion.
 
A player, b, who can quit when he is ahead has a distinct advantage over a player, a, who must keep playing. This is an example of a 1-dimensional random walk, which is guaranteed to eventually allow player b to be ahead and quit. Don't confuse this with the real gambling situation, where player b is forced to quit when he goes broke and is behind.

The odds of 50 heads in a row is one in 1.126 x 10^15.
 

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