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The Replication Crisis Is Not One Verdict on Social Psychology
The replication crisis is a set of problems about sampling, analysis, power, and publication. Social psychology is where its most dramatic examples live, but not where every finding receives the same sentence.
One system
replication
The other
social psychology
The Open Science Collaboration's uneven replication record and social psychology's classic-effect canon meet where a finding can retain textbook status after its evidential standing has become conditional or disputed.
Authority in a field must be able to survive being made answerable to its own methods.
Social psychology has a peculiar museum problem.
Its most famous rooms are full of excellent machinery. Lines of visibly different lengths. A learner behind a wall. A basement prison. A tedious tray of pegs, a dollar, twenty dollars, and a theory of why people rearrange their beliefs rather than sit beside an inconsistency.
The labels are familiar enough that the exhibits can acquire the status of weather. Conformity happens. Obedience happens. Situations eat character for breakfast.
Then the replication crisis arrives with a clipboard and asks whether the exhibits still work.
The tempting conclusion is brisk, satisfying, and wrong. The machines have failed inspection. Social psychology is worthless. Somebody should put a tarp over the whole wing.
It has the emotional efficiency of a stamp. It also turns several distinct problems into one verdict, which is precisely the mental operation the crisis ought to make less fashionable.
Henrich, Heine, and Norenzayan identify the first problem: sampling.
WEIRD means Western, Educated, Industrialized, Rich, Democratic.
A study of Western undergraduates can be well designed and still be a study of a particularly thin slice of humanity. That is a failure of generalization, not proof that its result is imaginary.
Simmons, Nelson, and Simonsohn identify another: analytic flexibility.
Their demonstration has participants listen to a neutral instrumental track or a children’s song and report their age. The children’s-song group comes out older, with a respectable p value attached.
A second study makes Beatles listeners nearly a year and a half younger by their reported birth date.
Science has many powers. Altering the date of somebody’s birth is not among them.
The point is not that the authors cheated.
They disclose the mundane machinery. A covariate needed for significance. A stopping rule checked every ten participants or so. A dozen unreported variables compressed into a cleaner story.
Four ordinary degrees of freedom, combined in simulation, push a nominal five percent false-positive rate past sixty.
P-hacking is not a tiny fraud goblin hiding in the spreadsheet. It is a system of choices that can look respectable one choice at a time.
The Reproducibility Project identifies a third problem: what survives into the record.
It selected a hundred studies from a single year across three journals. Of the ninety-seven with originally significant results, thirty-six percent of direct replications also reached significance. Replicated effects averaged roughly half the original magnitude.
That is the number everyone remembers, because numbers like to dress as verdicts.
But the journal spread is the actual hinge. Around twenty-three percent for the social and personality journal, around thirty-eight for the general one, around forty-eight for the cognitive one.
The result does not say that psychology has one reproduction rate stored somewhere in a vault. It says this selected record is uneven.
Gilbert, King, Pettigrew, and Wilson challenged the interpretation the following year, arguing that power reasoning and methodological mismatches made the gloomy aggregate claim unsound. Anderson and colleagues replied in the same issue that the evidence permits multiple interpretations.
No corrected planetary number emerged.
The dispute is not pedantic interference around the real story. It is the real story. An aggregate needs an argument before it becomes an obituary.
Low power gives the arithmetic a long memory.
Cohen found typical studies poorly equipped to detect a medium effect. Later work places median psychology power around a third, well below the conventional eighty percent recommendation.
A significant result from an underpowered study is unusually likely to be false, or lucky-large. The original clears the bar in a fortunate costume. The replication arrives without the hat.
This is why the famous effects need individual labels, not a group sentence.
Asch’s line judgments are robust, but conditional.
A participant among unanimous confederates conformed on close to a third of critical trials, against an error rate near zero when alone. A single correct dissenter cut that to a small fraction, and private written responses cut it too.
Later meta-analysis found the rate varying with a culture’s individualism and declining in the United States over the following decades. A British replication with engineering students found rates far below the originals.
The effect survives as social influence with levers. It does not survive as a theorem that a crowd turns vision into soup.
Milgram’s obedience result is robust in its core and attenuated in its famous number.
The canonical sixty-five percent is twenty-six of forty men in one condition. Across eighteen variations, compliance runs from nothing at all under contradictory experimenters to well over ninety percent when responsibility is diffused.
Burger’s partial replication found about seventy percent continuing past the point where the original’s key refusals began. Perry’s archival account found extra experimenter pressure beyond the reported script, and a near-unpublished condition in which most participants disobeyed.
Authority matters. The poster did not contain the whole experiment.
Festinger and Carlsmith’s dollar-and-twenty-dollar pattern is attenuated as a unique dissonance mechanism, not a blank cheque for cognitive dissonance.
Students performed an hour of tedious tasks. Those paid a dollar to praise them rated them more positively than those paid twenty.
Festinger reads dissonance reduction. Bem’s self-perception theory gets the same pattern without the inner aversive engine.
A result can outlive a theory’s monopoly on it.
Many Labs makes the alternative to doom almost embarrassingly concrete.
Dozens of samples across a dozen countries tested thirteen effects. Ten replicated consistently across nearly every site.
Imagined intergroup contact reducing prejudice came out weak and inconsistent. Flag priming’s effect on conservatism failed. So did currency priming’s effect on system justification.
The effect is the unit of judgment.
That conclusion leaves a field with fewer sweeping anecdotes and more carefully marked objects.
A direct replication asks whether the original procedure recurs. A conceptual replication asks whether an underlying thought appears by another route. Neither should be allowed to impersonate the other.
Nor does a failure establish fraud, or a success establish an original mechanism unchanged. Those are possible stories. They are not the data’s automatic subtitles.
The repairs are correspondingly unromantic.
Preregistration time-stamps hypotheses, sample size, and analysis plans before data collection, making departures visible.
Registered Reports place the design under review before results exist, and detach publication from significance. Conventional psychology articles report significant hypotheses almost all of the time. Published Registered Reports report them under half.
The reforms change what a record can hide. They do not issue certificates of metaphysical truth.
What the crisis restored is not that the canon was fraudulent, or that replication has arrived as its executioner.
It is that status and merit must eventually meet in the same room.
A textbook can preserve a beautiful result long after its conditions, magnitude, or explanation have become conditional. Method is the institution that asks the plaque to earn its place again.
The museum stays open. The labels get better.
The tempting reading, refused
Failed replications prove social psychology is worthless.
Reproducibility varied by effect, journal, design, and interpretation rather than collapsing into one number.
What you can take forward
- WEIRD sampling is a generalizability problem, while p-hacking and publication selection are distinct analysis-stage and publication-stage problems.
- The Open Science Collaboration's 2015 36% result describes 97 originally significant studies replicated at p < .05, not a universal rate for psychology.
- The OSC result varied by source journal from roughly 23% to roughly 48%, so its pooled rate hides subfield variation.
- Replicated effects averaged roughly half the original magnitude, and low statistical power makes selected significant effects likely to be inflated.
- Many Labs found replication varied more by the effect tested than by the laboratory or setting, with ten effects consistent, one weak and inconsistent, and two failing.
- A direct replication tests whether the original procedure's result recurs, whereas a conceptual replication tests an underlying hypothesis through a different operationalization.
- Preregistration makes deviations from a stated plan visible, and Registered Reports remove result significance as a condition of publication; neither reform decides whether a particular claim is true.
Go deeper
- What does WEIRD mean in the replication crisis?
- WEIRD means Western, Educated, Industrialized, Rich, and Democratic. Henrich, Heine, and Norenzayan use the term in 2010 to identify a narrow and unusual slice of humanity that supplies much psychology research. The problem is generalizability rather than automatic invalidity: a result can be real for the sampled population while failing to describe humans generally.
- Is p-hacking the same thing as fraud?
- No. P-hacking exploits researcher degrees of freedom, such as choosing a stopping rule, covariate, exclusion, outcome, or comparison after results are visible. Simmons, Nelson, and Simonsohn show in 2011 that ordinary and individually defensible choices can create a significant result without malicious intent. The problem is undisclosed analytic flexibility, not a necessary finding of deception.
- What is publication bias?
- Publication bias is the published literature's over-representation of statistically significant results because positive findings are more likely to be submitted, accepted, and published than null results. Rosenthal calls the unseen accumulation of null findings the file-drawer problem. A literature can therefore overstate an effect even when individual researchers conduct and analyze studies honestly.
- What did the 2015 reproducibility project actually find?
- The Open Science Collaboration selected 100 studies published in 2008 in Psychological Science, the Journal of Personality and Social Psychology, and the Journal of Experimental Psychology: Learning, Memory, and Cognition. Of the 97 originals that reported significance, 36% of direct replications also reached p < .05. Replicated effect sizes averaged roughly half the original magnitude. The result estimates this selected set, not psychology's universal replication rate.
- Why does the 23% to 48% journal range matter?
- The Open Science Collaboration's replication success varied from roughly 23% for Journal of Personality and Social Psychology studies to roughly 38% for Psychological Science and roughly 48% for Journal of Experimental Psychology: Learning, Memory, and Cognition. The range shows that the pooled 36% result does not distribute evenly across the sampled journals, and that social-psychological findings in this sample fare worse than cognitive-psychology findings.
- Did everyone agree that psychology replicated only 36% of the time?
- No. Gilbert, King, Pettigrew, and Wilson argued in 2016 that the Open Science Collaboration's aggregate conclusion rested on statistical-power errors and on replications that sometimes diverged from the original procedures. Anderson and colleagues replied that the evidence permits multiple interpretations. The exchange produces no agreed corrected percentage; it limits how much a single pooled rate can establish.
- Why do replicated effects often get smaller?
- Effect-size shrinkage occurs when replications produce effects smaller than the original studies selected for reaching statistical significance. Underpowered studies are especially vulnerable because a significant result is disproportionately likely to be a false positive or a real effect exaggerated by chance. Psychology has reported median power around 33% to 36%, below the conventionally recommended 80% threshold, so selection and low power can work together.
- Which social psychology findings look robust after replication?
- Asch-style conformity remains robust with stated boundary conditions. A single dissenting confederate reduces conformity on critical trials from roughly one-third to about 5%, and private written responses also reduce it. Later work finds variation across cultures and lower United States conformity than in Asch's original period. The durable finding is conditional social influence, not a fixed amount of human submission.
- Did Milgram's obedience finding survive?
- Some obedience to escalating instructions from an authority figure persists across later studies, but Milgram's 65% headline is not a universal estimate. His own variations range from 0% to 92.5%, and Burger's 2009 partial replication finds about 70% continuing past 150 volts. Gina Perry's archival work also documents departures from the reported standardized script, which weakens confidence in the canonical number's simple interpretation.
- Which effects failed in Many Labs?
- Many Labs tests 13 classic and contemporary effects across 36 samples and settings. Ten replicate consistently across nearly all samples, imagined intergroup contact shows weak and inconsistent support, and two effects fail to replicate: flag priming's effect on political conservatism and currency priming's effect on system-justification attitudes. The project concludes that replication depends more on the effect than on the sample or setting.
- Does a failed replication prove the original researchers committed fraud?
- No. A failed direct replication can arise from an inflated or false original result, an unfaithful replication procedure, insufficient power, sampling differences, or an effect that depends on conditions not preserved in the new study. Simmons, Nelson, and Simonsohn identify ordinary analytic flexibility as a mechanism that can generate false positives without malicious intent. Fraud is a separate allegation requiring separate evidence.
- Does a successful replication prove the original explanation is right?
- No. A successful direct replication supports recurrence of a result under matched conditions; it does not by itself establish the original mechanism. Festinger and Carlsmith's 1959 one-dollar and twenty-dollar result receives a dissonance explanation, while Bem's self-perception theory accounts for the same pattern without an aversive internal drive state. A reproduced pattern can remain theoretically contested.
- What is the difference between a direct and a conceptual replication?
- A direct replication repeats the original procedure as closely as possible, including the manipulation, measure, and population type, to test whether the original result recurs. A conceptual replication tests the same hypothesis through a different operationalization. Conceptual replications can support an idea, but they do not check whether the original procedure and analytic decisions yield the original result again.
- What does preregistration change?
- Preregistration publicly time-stamps hypotheses, sample size, and an analysis plan before data collection. It does not prevent flexible analysis, but it makes departures from the stated plan visible. That addresses the hidden choices called researcher degrees of freedom. Preregistration is a reform of transparency and planning; it does not determine whether a particular finding is true or false.
- Why are Registered Reports different from ordinary preregistration?
- A Registered Report has its question, design, and analysis plan peer-reviewed and provisionally accepted before data collection, with eventual publication not depending on whether results are significant. Ordinary preregistration records a plan but does not itself guarantee publication. The format changes the publication incentive that favors positive results; it still does not supply a verdict on any individual effect's truth.