# Borel's Law

 Part of the series on 2+2=4 v - t - e

Named after mathematician Émile Borel, who would probably be horrified, Borel's law states:

 “”Phenomena with very low probabilities do not occur.

The corrupted creationist version is:

 “”Any odds beyond 1 in 1050 have a zero probability of ever happening. —Karl Crawford (ksjj)[1][2]

## Original meaning

It was intended as a rule of thumb for specific scenarios before they happen. Borel introduced it in a book written for non-scientists, as an example of the kind of logic that any scientist might use to generate estimates of the minimum probability below which events of a particular type are considered negligible.[2] It was created for specific physical examples, not as a universal law. It certainly does not mean that any probability below 10−50 is automatically zero, which is contradictory.

So, of course, this rule is often cited by creationists as evidence against evolution and abiogenesis when they are misunderstanding that improbable things happen. They appear to be the only people to give it the status of a "law." This is a staggering misrepresentation of what Borel said and one can only feel sympathy for him for having such a misguided "law" named after him.

## Falsification

The probability of an event with odds of 1 in 1050 is 10−50. Small, yes. Negligible, yes — but not zero. You can observe such events happening to you every night. Although the probability of a photon emitted in the Andromeda Galaxy, 2.6 million light years from Earth, reaching your eye is only 8.1 · 10−51, the galaxy is clearly visible in the night sky.[3] If you roll a fair ten-sided die 51 times, the probability of rolling this particular sequence is 10−51. These observations are impossible according to the proponents of universal application of "Borel's law."

## Borel's actual law

Borel also has a real law named after him, usually known as "Borel's law of large numbers". It can be expressed in many ways, but in its simplest form, if an event E occurs Xn times in n trials, than the probability p of E occurring is:

$\frac{X_n(E)}{n}\to p\text{ as }n\to\infty.\,$