Table 1.

Summary of parameter values used in computational experiments.

parameter	definition	values tested
n	number of labs	100
b	base rate of true hypotheses	0.1
W	power of experimental methods	0.8
α0	initial false positive rate for all labs	0.05
G0	initial funds for all labs	10
G	funding per grant	{10, 35, 60, 85}
d	number of labs sampled for death, birth, and funding events	10
ε	standard deviation of α mutation	0.01
r	efficacy of peer review	{0, 0.1, …, 1}
p	publication rate for negative results	{0, 0.1, …, 1}
S	funding allocation strategy	{PH, RA, MI}
X	proportion of funds allocated to most rigorous labs under mixed funding	{0, 0.1, …, 1}
A	minimum false positive rate for funding under modified lottery	{0.1, 0.2, …, 1}