the.com/frequentist
probability isn't belief, it's just what happens if you repeat the experiment forever.
means a statistician who defines probability as long-run frequency and refuses to assign odds to fixed, one-time truths like a coin already flipped.
from crystallized in the early 20th century through fisher, neyman, and pearson as a rejection of bayesian subjectivity; they wanted statistics to be about objective, repeatable procedures, not personal degrees of belief.
p-valuesinvented by fisher, endlessly misunderstood since 1925
no priorsrefuses to put probabilities on hypotheses themselves
confidence intervalsdescribe the method's reliability, not the actual parameter
dominant in academiastill the default in most intro stats courses worldwide
for instance
fisher's exact test — 1934 method still used in small-sample biology papers
fda drug trials — require frequentist significance thresholds like p less than 0.05
neyman-pearson lemma — 1933 proof underlying most modern hypothesis testing