Difference between Allen’s rule and Bergmann’s rule

Allen’s rule is a generalization of the Pareto principle, which states that in any situation where two types of agents are involved, the majority of benefits will accrue to the minority. Bergmann’s rule is a refinement of Allen’s rule which states that in any situation where two types of agents are involved, the minority will benefit more than the majority would under either Allen’s or Bergmann’s rule.

There is a lot of confusion surrounding these two rules, so it’s important to know the difference between them before making any decisions.

Allen’s rule states that the probability of a successful conversion is proportional to the size of the initial lead. Bergmann’s rule, on the other hand, says that the probability of conversion is inversely proportional to the size of the initial lead.

So, according to Allen’s rule, if you have an initial lead of 10%, your conversion rate will be 10%. However, if you have an initial lead of 1%, your conversion rate will be only 1%.

Bergmann’s rule is more commonly used because it makes sense intuitively. It suggests that you should try to get people friendlier with your offer before trying to convert them. This way, they will be more likely to convert once they are already interested in what you have to offer.

Allen’s rule is a formula used in statistics that helps to calculate the likelihood of a repeated event. Bergmann’s rule, on the other hand, is a formula used in population genetics that calculates the number of offspring an individual will produce in a specific amount of time.