In a world where researchers prefer their experiments to have a partic
ular outcome, scientific fraud and research bias are alternative metho
ds to implement such preferences. A critical constraint distinguishes
these two methods: biased research is 'narrowly replicable' while frau
d is non-replicable. Recent proposals to severely punish fraud have ty
pically excluded biased research from their purview. An unintended con
sequence of such asymmetric sanctions is the substitution of creative
uses of technology to bias research outcomes in favor of one's prefere
nces. Importantly, such bias may be substantially more difficult to de
tect than outright fraud, given current scientific conventions. This a
rticle demonstrates, using the simplest of statistical examples, how b
iased outcomes can derive from seemingly unbiased procedures.