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Gerry Myerson
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Let's imagine designing an odds pattern for a game, in which players bet for win or lose. Suppose the probablity of winning is p$p$, thus the probablity of losing is 1-p$1-p$.

Now imagine n1$n_1$ people bet for win, n2$n_2$ people bet for lose, both ante is 1, and the odds for both are 1:M$1:M$ and 1:N$1:N$, respectively.

The banker doesn't want even a penny out of his wallet, so it's reasonable we have  , according to Mean Value FomulaFormula: n1 * (M-1) * p + n2 * (N-1) * (1-p) <= n2 * p + n1 * (1-p)$$n_1 (M-1) p + n_2 (N-1) (1-p) \le n_2 p + n_1 (1-p)$$

specially, when n1 == 0$n_1 == 0$: 
we have : n2 * (N-1) * (1-p) <= n2 * p $n_2 (N-1) (1-p) \le n_2 p$, 
we get : N <= p / (1-p) + 1$N \le p / (1-p) + 1$

when n2 == 0$n_2 == 0$, we can likewise get 
M <= (1-p) / p + 1$M \le (1-p) / p + 1$

To make it general, it makes sense to rewrite them like : 
N <= (p / (1-p) + 1) * (n2 / (n1+n2))$N \le (p / (1-p) + 1) (n_2 / (n_1+n_2))$,
M <= ((1-p) / p + 1) * (n1 / (n1+n2))$M \le ((1-p) / p + 1) (n_1 / (n_1+n_2))$

Here comes my question: the n1$n_1$ and n2$n_2$ are influenced by the M$M$ and N$N$ and P$P$. However, the M$M$ and N relys$N$ rely on the n1$n_1$ and n2$n_2$. How to figure out what M$M$ and N$N$ should be chosen?

It seems we should have a transcendental value for n1$n_1$ and n2$n_2$. FYI, there is a restritionrestriction : n1 + n2 <= C - 2$n_1 + n_2 \le C - 2$, C $C$ is a constant.

Let's imagine designing an odds pattern for a game, in which players bet for win or lose. Suppose the probablity of winning is p, thus the probablity of losing is 1-p.

Now imagine n1 people bet for win, n2 people bet for lose, both ante is 1, and the odds for both are 1:M and 1:N, respectively.

The banker doesn't want even a penny out of his wallet, so it's reasonable we have  , according to Mean Value Fomula: n1 * (M-1) * p + n2 * (N-1) * (1-p) <= n2 * p + n1 * (1-p)

specially, when n1 == 0: we have : n2 * (N-1) * (1-p) <= n2 * p , we get : N <= p / (1-p) + 1

when n2 == 0, we can likewise get M <= (1-p) / p + 1

To make it general, it makes sense to rewrite them like : N <= (p / (1-p) + 1) * (n2 / (n1+n2)),
M <= ((1-p) / p + 1) * (n1 / (n1+n2))

Here comes my question: the n1 and n2 are influenced by the M and N and P. However, the M and N relys on the n1 and n2. How to figure out what M and N should be chosen?

It seems we should have a transcendental value for n1 and n2. FYI, there is a restrition : n1 + n2 <= C - 2, C is a constant.

Let's imagine designing an odds pattern for a game, in which players bet for win or lose. Suppose the probablity of winning is $p$, thus the probablity of losing is $1-p$.

Now imagine $n_1$ people bet for win, $n_2$ people bet for lose, both ante is 1, and the odds for both are $1:M$ and $1:N$, respectively.

The banker doesn't want even a penny out of his wallet, so it's reasonable we have, according to Mean Value Formula: $$n_1 (M-1) p + n_2 (N-1) (1-p) \le n_2 p + n_1 (1-p)$$

specially, when $n_1 == 0$: 
we have : $n_2 (N-1) (1-p) \le n_2 p$, 
we get : $N \le p / (1-p) + 1$

when $n_2 == 0$, we can likewise get 
$M \le (1-p) / p + 1$

To make it general, it makes sense to rewrite them like : 
$N \le (p / (1-p) + 1) (n_2 / (n_1+n_2))$,
$M \le ((1-p) / p + 1) (n_1 / (n_1+n_2))$

Here comes my question: the $n_1$ and $n_2$ are influenced by the $M$ and $N$ and $P$. However, the $M$ and $N$ rely on the $n_1$ and $n_2$. How to figure out what $M$ and $N$ should be chosen?

It seems we should have a transcendental value for $n_1$ and $n_2$. FYI, there is a restriction : $n_1 + n_2 \le C - 2$, $C$ is a constant.

added 116 characters in body; edited body
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Let's imagine designing an odds pattern for a game, in which players bet for win or lose. Suppose the probablity of winning is p, thus the probablity of losing is 1-p.

Now imagine n1 people bet for win, n2 people bet for lose, both ante is 1, and the odds for both are 1:M and 1:N, respectively.

The banker doesn't want even a penny out of his wallet, so it's reasonable we have , according to Mean Value Fomula: n1 * (M-1) * p + n2 * (N-1) * (1-p) <= n2 * p + n1 * (1-p)

specially, when n1 == 0: we have : n2 * (N-1) * (1-p) <= n2 * p , we get : N <= n2 * p / ( n2 * (1-p)) + 1

when n2 == 10, we can likewise get M <= n1 * (1-p) / p + 1

To make it general, it makes sense to rewrite them like : N <= (p / (n11-p) + 1) * p(n2 / (n1+n2)),
M <= ((1-p) / p + 1) * (n1 / (n1+n2))

Here comes my question: the n1 and n2 are influenced by the M and N and P. However, the M and N relys on the n1 and n2. How to figure out what M and N should be chosen?

It seems we should have a transcendental value for n1 and n2. FYI, there is a restrition : n1 + n2 <= C - 2, C is a constant.

Let's imagine designing an odds pattern for a game, in which players bet for win or lose. Suppose the probablity of winning is p, thus the probablity of losing is 1-p.

Now imagine n1 people bet for win, n2 people bet for lose, both ante is 1, and the odds for both are 1:M and 1:N, respectively.

The banker doesn't want even a penny out of his wallet, so it's reasonable we have , according to Mean Value Fomula: n1 * (M-1) * p + n2 * (N-1) * (1-p) <= n2 * p + n1 * (1-p)

specially, when n1 == 0: we have : n2 * (N-1) * (1-p) <= n2 * p , we get : N <= n2 * p / ( n2 * (1-p)) + 1

when n2 == 1, we can likewise get M <= n1 * (1-p) / (n1 * p) + 1

Here comes my question: the n1 and n2 are influenced by the M and N and P. However, the M and N relys on the n1 and n2. How to figure out what M and N should be chosen?

It seems we should have a transcendental value for n1 and n2. FYI, there is a restrition : n1 + n2 <= C - 2, C is a constant.

Let's imagine designing an odds pattern for a game, in which players bet for win or lose. Suppose the probablity of winning is p, thus the probablity of losing is 1-p.

Now imagine n1 people bet for win, n2 people bet for lose, both ante is 1, and the odds for both are 1:M and 1:N, respectively.

The banker doesn't want even a penny out of his wallet, so it's reasonable we have , according to Mean Value Fomula: n1 * (M-1) * p + n2 * (N-1) * (1-p) <= n2 * p + n1 * (1-p)

specially, when n1 == 0: we have : n2 * (N-1) * (1-p) <= n2 * p , we get : N <= p / (1-p) + 1

when n2 == 0, we can likewise get M <= (1-p) / p + 1

To make it general, it makes sense to rewrite them like : N <= (p / (1-p) + 1) * (n2 / (n1+n2)),
M <= ((1-p) / p + 1) * (n1 / (n1+n2))

Here comes my question: the n1 and n2 are influenced by the M and N and P. However, the M and N relys on the n1 and n2. How to figure out what M and N should be chosen?

It seems we should have a transcendental value for n1 and n2. FYI, there is a restrition : n1 + n2 <= C - 2, C is a constant.

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Let's imagine designing an odds pattern for a game, in which players bet for win or lose. Suppose the probablity of winning is p, thus the probablity of losing is 1-p.

Now imagine n1 personspeople bet for win, n2 personspeople bet for lose, both ante is 1, and the odds for both are 1:M and 1:N, respectively.

The banker doesn't want even a penny out of his wallet, so it's reasonable we have , according to Mean Value Fomula: n1 * (M-1) * p + n2 * (N-1) * (1-p) <= n2 * p + n1 * (1-p)

specially, when n1 == 0: we have : n2 * (N-1) * (1-p) <= n2 * p , we get : N <= n2 * p / ( n2 * (1-p)) + 1

when n2 == 1, we can likewise get M <= n1 * (1-p) / (n1 * p) + 1

Here comes my question: the n1 and n2 are influenced by the M and N and P. However, the M and N relys on the n1 and n2. How to figure out what M and N should be chosen?

It seems we should have a transcendental value for n1 and n2. FYI, there is a restrition : n1 + n2 <= C - 2, C is a constant.

Let's imagine designing an odds pattern for a game, in which players bet for win or lose. Suppose the probablity of winning is p, thus the probablity of losing is 1-p.

Now imagine n1 persons bet for win, n2 persons bet for lose, both ante is 1, and the odds for both are 1:M and 1:N, respectively.

The banker doesn't want even a penny out of his wallet, so it's reasonable we have , according to Mean Value Fomula: n1 * (M-1) * p + n2 * (N-1) * (1-p) <= n2 * p + n1 * (1-p)

specially, when n1 == 0: we have : n2 * (N-1) * (1-p) <= n2 * p , we get : N <= n2 * p / ( n2 * (1-p)) + 1

when n2 == 1, we can likewise get M <= n1 * (1-p) / (n1 * p) + 1

Here comes my question: the n1 and n2 are influenced by the M and N and P. However, the M and N relys on the n1 and n2. How to figure out what M and N should be chosen?

It seems we should have a transcendental value for n1 and n2. FYI, there is a restrition : n1 + n2 <= C - 2, C is a constant.

Let's imagine designing an odds pattern for a game, in which players bet for win or lose. Suppose the probablity of winning is p, thus the probablity of losing is 1-p.

Now imagine n1 people bet for win, n2 people bet for lose, both ante is 1, and the odds for both are 1:M and 1:N, respectively.

The banker doesn't want even a penny out of his wallet, so it's reasonable we have , according to Mean Value Fomula: n1 * (M-1) * p + n2 * (N-1) * (1-p) <= n2 * p + n1 * (1-p)

specially, when n1 == 0: we have : n2 * (N-1) * (1-p) <= n2 * p , we get : N <= n2 * p / ( n2 * (1-p)) + 1

when n2 == 1, we can likewise get M <= n1 * (1-p) / (n1 * p) + 1

Here comes my question: the n1 and n2 are influenced by the M and N and P. However, the M and N relys on the n1 and n2. How to figure out what M and N should be chosen?

It seems we should have a transcendental value for n1 and n2. FYI, there is a restrition : n1 + n2 <= C - 2, C is a constant.

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