Here is an overview of all of the files contained in this project, including all of the Supplementary Materials. **Analysis code + data** Contains a zip file of the whole project that includes everything that was used to produce the results, including the anonymised raw data, clean data, cleaning scripts, analysis scripts (including code that produced the quarto pdfs in the supplementary material files), and some output from the statistical models. *Note*: this file does not contain all of the output be because some of it was very large. However, the code in this file has been verified as being computationally reproducible by *Psychological Science* so the output can be generated from code. This file has been downloaded directly as a release from the project's Github page: https://github.com/ManikyaAlister/indycon-indi. **Experiment Materials** - experiment-stimuli: Contains all of the code used to run the experiment (with identifying details removed). To see what the experiment looks like, copy the following links to the browser. - With instructions: https://20250224t175407-dot-indycon-indi-dot-indycon-indi.ts.r.appspot.com/indycon/v2stance/live/run?src=test - Without instructions: https://20250224t175407-dot-indycon-indi-dot-indycon-indi.ts.r.appspot.com/indycon/v2stance/live/run?src=test&config=-i **Supplementary Materials** This contains all of the supplementary material files referenced in the manuscript. All of the pdf files have been generated directly from R Markdown or Quarto documents contained in the analysis code, so should be easy to reproduce if you are interested in how any of the results were generated. - 01_demographic-analyses: contains all of the analyses we ran to investigate how various demographic variables (e.g., age, education) may have underpinned the individual differences that we observed. - 02_power-simulation: The simulation we performed to determine the number of trials per person. - 03_group-coefficients: Contains more detail on the group-level coefficients, including the post hoc comparisons following up the interactions. - 04_following-group-modelling: some additional analyses that we performed to follow up our group-level analyses, including looking at prior certainty, analyses using the broader claim type distinction (unknowable vs. knowable), and whether consensus effects varied based on the type of primary source (news media vs. university). - 05_follow-up-individual-reliability: additional analyses performed to check that individual-level analyses were stable/reliable, rather than simply reflecting random noise. - 06_intial-beliefs: a figure showing the distributions of participants' prior beliefs for each of the 60 claims. - 07_design-check: some follow up analyses that we performed to check the robustness of our design, including checking for the influence of demand effects and whether people were equally persuaded in trials arguing for the claim versus against the claim.