Timothy Williamson claimed to prove with a coin-tossing example that hyperreal probabilities cannot save the principle of regularity. A premise of his argument is that two specified infinitary events must be assigned the same probability because, he claims, they are isomorphic. But as has been pointed out, they are not isomorphic. A way of framing Williamson’s argument that does not make it depend on the isomorphism claim is in terms of shifts in Bernoulli processes, the usual mathematical model of sequential coin tossing. But even so framed, the argument still fails
Abstract: 1000 fair causally isolated coins will be independently flipped tomorrow morning and you k...
Before a fair, indeterministic coin is tossed, Lucky, who is causally isolated from the coin-tossing...
If one flips an unbiased coin a million times, there are 21,000,000 series of possible heads/tails s...
Timothy Williamson claimed to prove with a coin-tossing example that hyperreal probabilities cannot ...
In a well-known paper, Timothy Williamson (Analysis 67:173–180, 2007) claimed to prove with a coin-f...
Timothy Williamson has claimed to prove that regularity must fail even in a nonstandard setting, wit...
A probability distribution is regular if it does not assign probability zero to any possible event. ...
In standard probability theory, probability zero is not the same as impossibility. But many have su...
A probability distribution is regular if no possible event is assigned probability zero. While some ...
A probability distribution is regular if no possible event is assigned probability zero. While some...
In standard probability theory, probability zero is not the same as impossibility. However, many ha...
A probability distribution is regular if it does not assign probability zero to any possible event. ...
One thousand fair causally isolated coins will be independently flipped tomorrow morning and you kno...
Abstract: 1000 fair causally isolated coins will be independently flipped tomorrow morning and you k...
Before a fair, indeterministic coin is tossed, Lucky, who is causally isolated from the coin-tossing...
If one flips an unbiased coin a million times, there are 21,000,000 series of possible heads/tails s...
Timothy Williamson claimed to prove with a coin-tossing example that hyperreal probabilities cannot ...
In a well-known paper, Timothy Williamson (Analysis 67:173–180, 2007) claimed to prove with a coin-f...
Timothy Williamson has claimed to prove that regularity must fail even in a nonstandard setting, wit...
A probability distribution is regular if it does not assign probability zero to any possible event. ...
In standard probability theory, probability zero is not the same as impossibility. But many have su...
A probability distribution is regular if no possible event is assigned probability zero. While some ...
A probability distribution is regular if no possible event is assigned probability zero. While some...
In standard probability theory, probability zero is not the same as impossibility. However, many ha...
A probability distribution is regular if it does not assign probability zero to any possible event. ...
One thousand fair causally isolated coins will be independently flipped tomorrow morning and you kno...
Abstract: 1000 fair causally isolated coins will be independently flipped tomorrow morning and you k...
Before a fair, indeterministic coin is tossed, Lucky, who is causally isolated from the coin-tossing...
If one flips an unbiased coin a million times, there are 21,000,000 series of possible heads/tails s...