It is the Bayesian estimate for the same case if certain assumptions are made for the prior distribution of the probability.
An alternative estimate could be found by multiplying the proportion of men who are over 6 feet in height with the proportion of men who prefer strawberry jam to raspberry jam, but this estimate relies on the assumption that the two conditions are statistically independent.
In these cases very large sample sizes would be needed in order to estimate such probabilities to a good standard of relative accuracy.
For example, consider estimating the probability that the lowest of the daily-maximum temperatures at a site in February in any one year is less than zero degrees Celsius.
A model-based alternative would be to select a family of probability distributions and fit it to the dataset containing past years′ values.