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

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Discussion Overview

The discussion revolves around the probabilities associated with betting on coin flips, specifically focusing on the odds of losing multiple consecutive flips. Participants explore the implications of betting strategies, particularly the martingale system, and how maximum betting limits affect outcomes. The conversation also touches on the mathematical calculations for determining the odds of losing 50 coin flips in a row.

Discussion Character

  • Exploratory
  • Mathematical reasoning
  • Debate/contested

Main Points Raised

  • One participant questions whether person B has an advantage in a betting scenario where they can quit at any time, suggesting that this alters the dynamics of the game.
  • Another participant challenges the calculation of odds for losing 8 consecutive flips, asserting that the correct odds are 1 out of 256, not 128.
  • A different participant provides a formula for calculating the probability of consecutive outcomes, stating that the odds of 8 consecutive outcomes of the same result is 2^7, or 128 to one, but acknowledges that if the first outcome must be a specific result, it changes to 256 to 1.
  • One participant attempts to clarify the calculation for the odds of losing 50 flips, noting it is related to (1/2) to the 50th power and seeks a more interpretable number.
  • Another participant provides a numerical approximation, stating that the odds of losing 50 heads in a row is approximately one in 1.126 x 10^15.

Areas of Agreement / Disagreement

Participants express disagreement regarding the correct odds for losing 8 consecutive flips, with some asserting different values. The discussion about the odds of losing 50 flips also remains unresolved, as participants present varying calculations and interpretations.

Contextual Notes

There are unresolved mathematical steps and differing interpretations of the probability calculations presented. The discussion also highlights the assumptions made regarding the betting strategies and the implications of quitting during a game.

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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