Owing to the abusive reliance upon significance testing—rather than point or interval estimation, curve shape, or ordination—in the social sciences, … - Paul E. Meehl

As is well-known (and not disputed by Popper), when we spell out in detail the logical structure of what purports to be an observational test of a theoretical conjecture T, we normally find that we cannot get to an observational statement from T alone. We require further a set of often complex and problematic auxiliaries A, plus the empirical realization of certain conditions describing the experimental particulars C [but] in social science the auxiliaries A and the initial and boundary conditions of the system C are frequently as problematic as the theory T itself.

a theory that has seven facts for it and three facts against it is not in good shape, and it would not be considered so in any developed science.

the null hypothesis in the life sciences is almost always false—if taken literally— in designs that involve any sort of self-selection or correlations found in the organisms as they come, that is, where perfect randomization of treatments by the experimenter does not exhaust the manipulations. Hence even “experimental” (rather than statistical or file data) research will exhibit this if interaction effects involving attributes of the persons are studied. Consequently, whether or not the null hypothesis is rejected is simply and solely a function of statistical power.