Alternative to Von Neumann bias correction method

[tim1608]

Hi

I have discovered that the Von Neumann bias correction method only works when the bias is 100% stable, for example tossing the same loaded coin again and again.

Does anyone know of a bias correction method which can correct an unstable bias? Is this impossible?

Edit: Let's say I have a bucket of coins, each of which is differently loaded but they are all loaded on the tails side. How can the bias be removed if the coins are each tossed one-by-one?

 

[Stephen Tashi]

if the coins are each tossed one-by-one?

Are you going to label the coins and toss them in order till all are tossed and then toss them again in the same order?

 

[tim1608]

Hi Stephen

Thank you for your reply.

No. The hypothetical "bucket" in my original post has an infinite number of coins.

 

[Stephen Tashi]

To pose an interesting problem, I think you must say more about the population of coins and how they are selected. (For example, you haven't ruled out an infinite population of two-headed coins.)