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The famous 'marshmallow test' didn't replicate. Neither did power posing. AI helps you check whether a study has held up — before you build an essay around it.
Many famous psychology and social-science studies failed when others tried to repeat them — the 'replication crisis.' Citing a study that hasn't replicated makes your essay weaker, not stronger. AI can help you find the meta-analysis or replication paper, which is the actual current state of the evidence.
Pick a famous study you've heard about (marshmallow test, Stanford Prison Experiment, Milgram). Search Google Scholar for 'replication of [study name]' and read what came back. The story is almost never what your textbook said.
15 questions · take it digitally for instant feedback at tendril.neural-forge.io/learn/quiz/end-builders-research-ai-replication-crisis-explained-r9a10-teen
What did researchers discover when they replicated the Stanford Marshmallow Test in 2018?
What is 'power posing' based on Amy Cuddy's research?
What happened when other researchers tried to replicate Amy Cuddy's power posing study?
What does it mean when a study 'replicates'?
What is a meta-analysis?
What is 'p-hacking'?
What does 'preregistration' mean in research?
Where can you find catalogs of replication studies?
What should you ask an AI when checking whether a study has replicated?
Why should you be especially careful about citing psychology studies from before 2015?
What is the Open Science Framework (OSF)?
The Stanford Prison Experiment and Milgram experiment are examples of studies that:
What is the benefit of checking whether a study has replicated before citing it in an essay?
What did the original Stanford Marshmallow Test claim?
Why is it risky to trust a study's original findings without checking for replications?