A starting point for discussion
The idea
The researchers estimated that two random samples of 53 participants each, about 20% of the study sample, would produce an R² of about 0.72 for proposal win rates. R² is a measure of how closely the rates in the two samples track each other. They reported an R² of 0.9538 when using the full sample.
Place in the reasoning
AI assessment · Connected to reasoning
Reports stability of participant-sample preference estimates, explicitly not population representativeness.
Consistent study results may not reflect the wider public
Stability within the sampled participants does not show that their preferences represent Brazil’s population.
Different prediction checks reveal different limits
Provides a study-specific stability check for group preference estimates; it is distinct from individual prediction reliability.
What this means and why it matters
What this means
The researchers estimated an R² of 0.72 for two groups of 53 participants. R² is a measure of how closely the proposal win rates in the two groups track each other. They reported 0.9538 for the full sample. The figure caption gives the 53-person result as 72.2%.
Why it matters
These figures suggest that the preferences gathered from the sample were fairly consistent in this check, but do not show that they match the preferences of the wider public.
Conditions & assumptions
Source coverage: Full readable text of the retrieved 37-page research draft, including references and appendices. Figures are not independently interpreted. The appendix presents the 53-person estimate and the full-sample repeatability result as findings from its check of the data, not as proof that participants represent the wider public. Addresses: Appendix B data adequacy checks
Questions this connects to
AI-suggested relationships. Authors have not necessarily responded to one another.