About Decision Labs
What This Is
Decision Labs is an open-source, ad-free platform for interactive U.S. electoral maps, historical election data, polling aggregation, and race ratings. It's built for transparency and data portability — every view has an export button, every algorithm is published, and the entire codebase is MIT-licensed.
What This Isn't
- A forecasting model — we aggregate polls and report results; the turnout simulator is a what-if scenario explorer, not a prediction of the outcome
- A partisan or opinion outlet — we report data and other organizations' race calls (we never call a race ourselves), and we don't endorse
- An ad-supported platform — no ads, no ad-tracking, no cookies, no paywalls (see our privacy note)
Standards & accountability
We're nonpartisan and independent. How we report results and race calls, our sourcing, and our neutral-language commitment are set out in our editorial standards. When we get something wrong we fix it and log it on the corrections page; to flag an error, use contact.
Data Sources
All data comes from public, freely licensed sources:
Presidential, Senate, House, and Governor results 1976–2024. State-level, county-level (2000+), and precinct-level (2016+). CC-BY license.
Official certified presidential results and campaign finance data. Public domain.
State population, apportionment data, and electoral vote allocations. Public domain.
Pollster quality ratings, updated for 2026. Free for any purpose with attribution.
Historical polling data and pollster ratings (frozen at early 2025 after shutdown).
Technology
Built with Next.js, React, TypeScript, D3.js, and Tailwind CSS. Data pipeline in Python. Deployed on Vercel.
License
MIT License. Use the data, fork the code, build on it. Attribution appreciated but not required.