In statistics, samples are drawn from a population in a data-generating process (DGP). Standard errors measure the …-generating process (EGP). We claim that EGP variation across researchers adds uncertainty: non-standard errors. To study them, we let 164 … teams test six hypotheses on the same sample. We find that non-standard errors are sizeable, on par with standard errors …

In statistics, samples are drawn from a population in a data-generating process (DGP). Standard errors measure the …-generating process (EGP). We claim that EGP variation across researchers adds uncertainty: non-standard errors. To study them, we let 164 … teams test six hypotheses on the same sample. We find that non-standard errors are sizeable, on par with standard errors …

In statistics, samples are drawn from a population in a data-generating process (DGP). Standard errors measure the …-generating process (EGP). We claim that EGP variation across researchers adds uncertainty: non-standard errors. To study them, we let 164 … teams test six hypotheses on the same sample. We find that non-standard errors are sizeable, on par with standard errors …

In statistics, samples are drawn from a population in a data-generating process (DGP). Standard errors measure the …-generating process (EGP). We claim that EGP variation across researchers adds uncertainty: non-standard errors. To study them, we let 164 … teams test six hypotheses on the same sample. We find that non-standard errors are sizeable, on par with standard errors …

In statistics, samples are drawn from a population in a data-generating process (DGP). Standard errors measure the …-generating process (EGP). We claim that EGP variation across researchers adds uncertainty: non-standard errors. To study them, we let 164 … teams test six hypotheses on the same sample. We find that non-standard errors are sizeable, on par with standard errors …