Berna Devezer, Luis G. Nardin, Bert Baumgaertner and Erkan Ozge Buzbas (2019), PLOS ONE 14(5), e0216125.
Key takeaways
From the reading, NOTE-792.
- Consensus as a process. The “global model” is the last winner of a pairwise AIC or SC comparison on fresh data. The no-replication process is a Markov chain over 14 linear models. The consensus has no memory, and no scientist holds a belief.
- Reproducibility is causally idle. A replication re-tests the same pair on independent data, so its outcome sums out of the transition probabilities (S23). The reproducibility rate cannot affect the long-run distribution, first passage time or stickiness.
- Reproducible and wrong. Boundary testers, who only add interactions, reach near-perfect reproducibility while spending 25% (AIC) or 48% (SC) of their time at the true model. Their correlation between reproducibility and time at the truth is −0.06, against 0.35 to 0.69 in other populations.
- Connectedness speeds discovery. Mavericks, who propose from the whole space, reach the truth fastest. Under hard strategies a boundary-tester population takes about 1,600 steps.
- Diversity as insurance. The equal mix is never the worst population on any property and has the lowest variability. It is not the best on time at the truth, and it fails under high noise.
- Method matters. SC spends longer at the truth than AIC (medians 27% and 20%) but varies more.
Standing in the record
Filed on 2026-10-12 for QUESTION-047 and read on 2026-10-14 in NOTE-792. What it shows is held as THEORY-295: with every test sound, which alternatives a community puts up can hold its consensus on a false model that its replications keep confirming. This is the record’s nearest model to the question’s design. It is about a standing view, not a belief. Its “epistemic diversity” is a permanent mix of proposal strategies, distinct from the transient diversity of THEORY-148. The seeded body’s claim that diversity “sets whether the community finds the truth” was too strong: which strategies are present, and the noise level, set it.