Fernand Hayot
Simulations of stochastic biological phenomena
Science signaling
recently historians philosophers science interested role statistics probability investigating population variation focus typically investigators applying statistics probability explain large scale phenomenon arise collective behavior numerous varied individuals case studies inform work come mostly molecular physics 20th century genetical versions evolutionary theory charles darwins work evolution rarely mentioned context except point shortcomingshe made evolutionary theory ripe statistical investigations statistical thinker mistake darwin statistical thinker essay describe two instances darwin utilized statistical methods investigate evolution light cases ought revise views darwins scientific methodology particular came develop ideas evolution nature population thinking furthermore darwins cases provide us expanded view constitutes statistical thinking biological sciences examples find darwin using statistical measures type frequencies detect large scale ensemble effects confirm hypotheses comparing expected observed averages applying astronomers law error explain evolutionary trends