For probability distributions you need a constant to normalise the distribution so the total probability of an event is 1. I think the inverse square law is related to a normalisation factor for an underlying pdf. It is probably related to FJC
For probability distributions you need a constant to normalise the distribution so the total probability of an event is 1. I think the inverse square law is related to a normalisation factor for an underlying pdf. It is probably related to FJC