Despite public pledges, leading scientific journals still allow statistical misconduct and refuse to correct it

A leading form of statistical malpractice in scientific studies is to retroactively comb through the data for "interesting" patterns; while such patterns may provide useful leads for future investigations, simply cherry-picking data that looks significant out of a study that has otherwise failed to prove out the researcher's initial hypothesis can generate false -- but plausible-seeming -- conclusions. Read the rest