since the research is heavily based on statistics and probability, we have frequent and bayesian statistics. I always believed that these two schools are outdated. The reason for this is that frequent statistics focus only on one element (factor) which is frequency while bayesian statistics is kinda an added stuff to frequentist approach. My idea is that what if there are many elements (factors) that decide that probability of an event but we just reiled on one factor which is frequency?! in the old times when they discover something they stick to it and they dont try to change the rooths of that theory such as considering more factors more than frequency. Come to think about it, it does not seem very convincing that what decide the probability of events is just how many times an event occur, though it is a working theory.
since the research is heavily based on statistics and probability, we have frequent and bayesian statistics. I always believed that these two schools are outdated. The reason for this is that frequent statistics focus only on one element (factor) which is frequency while bayesian statistics is kinda an added stuff to frequentist approach. My idea is that what if there are many elements (factors) that decide that probability of an event but we just reiled on one factor which is frequency?! in the old times when they discover something they stick to it and they dont try to change the rooths of that theory such as considering more factors more than frequency. Come to think about it, it does not seem very convincing that what decide the probability of events is just how many times an event occur, though it is a working theory.