The public opinion polls that form the primary basis for day-to-day changes in the model forecasts are obtained through The New York Times' poll tracking project, which collects polls and their metadata and makes them available under the Creative Commons Attribution 4.0 International license, allowing them to be shared and adapted freely in any medium or format for any purpose. This forecast would not be possible (at least, not at the same standard of quality) without the Times team of Michael Andre, Camille Baker, Irineo Cabreros, Annie Daniel, Martín González Gómez, Ruth Igielnik, Jasmine C. Lee, Jenni Lee, Alex Lemonides, Ilana Marcus, Katherine Oung, Dan Simmons-Ritchie, Jonah Smith and Caroline Soler.
A massive thank you to Gabriel Guzman for putting together the dashboard for this forecast. I'll publish the link to it soon as it's still a work in progress, but when it's done it will be by far the best way to explore the forecast's results in-depth beyond the regular updates I'm posting to Substack. (Oh, by the way, I write about the model and its results on Substack, in case you somehow got here without being there first: check me out here.) Gabe is a data visualization expert who typically creates gorgeous dashboards for visualizing NBA analytics; you can check out his work at CourtSketch and he's on Twitter as @GabeLeftBrain. He churned out the initial version of the dashboard in a matter of hours and has gradually fine-tuned the dashboard's presentation and functionalities to make it better and better. I couldn't have asked for a better collaborator on this project.
I am grateful to Richard McElreath, director of the Max Planck Institute for Evolutionary Anthropology in Leipzig and one of the world's preeminent evangelists for applied Bayesian statistics. He doesn't know who I am, but without the lectures he has posted to his YouTube channel my understanding of Bayesian statistics and the Stan programming language would not be anywhere near sufficient to undertake a project like this.
Lastly, I thank Jeremy Arnold, Scott Borden, Henry Brice, Pete Kruger, Tom Robinson, and Shern Ren Tee for all their helpful feedback on the Substack posts.