The potential for abusing multiplication of fractions to give extremely low numbers is well known. A particularly egregious example of this can be found in the work of Christian apologist Tim McGrew, who estimates the prior probability of having the evidence we do pertaining to the resurrection of Jesus at less than 10^-40, on the basis of multiplying together supposedly independent probabilities of each of Jesus’ disciples separately experiencing a hallucination.
There is nothing biased or weird in multiplication of probabilities yielding small numbers. It is the correct model for calculating joint probability P(A,B) = P(A|B)P(B) or P(A)P(B) if A,B independent. The issue with McGrew’s calculation is not that multiplying independent events is “biased”, it is that the model itself is wrong (the disciples’ hallucinations are not plausibly independent, and there are additional issues concerning the transmission of factful account of events anyway).
Likewise, the correct move of incorporating “number of possible avenues by which life may emerge” is not to add more probabilities into multiplication, you’d include sum terms.
If one wants to criticize the model, that is of course possible, but that is a different point. The are also numerical issues with working with small floating numbers, but usually they can be avoided with careful applications of logs.
There is nothing biased or weird in multiplication of probabilities yielding small numbers. It is the correct model for calculating joint probability P(A,B) = P(A|B)P(B) or P(A)P(B) if A,B independent. The issue with McGrew’s calculation is not that multiplying independent events is “biased”, it is that the model itself is wrong (the disciples’ hallucinations are not plausibly independent, and there are additional issues concerning the transmission of factful account of events anyway).
Likewise, the correct move of incorporating “number of possible avenues by which life may emerge” is not to add more probabilities into multiplication, you’d include sum terms.
If one wants to criticize the model, that is of course possible, but that is a different point. The are also numerical issues with working with small floating numbers, but usually they can be avoided with careful applications of logs.