Make your Voter DNA
Mix and match traits like age and education to see how a person’s "DNA" determines if they lean Democrat or Republican.
Every percentage traces back to 2024 national exit polls - real vote breakdowns by age, race, education, religion, and more. Those margins were used to generate 60,000 synthetic voters via machine learning, each one built to reflect actual demographic voting patterns. A LASSO model was then trained on that dataset - it learned which traits meaningfully shift a vote, and quietly zeroed out the ones that don't. What survives is a precise, data-grounded weight for every trait option you see.
Each trait you select carries a learned signal - a pull toward Democrat or Republican and a measure of how strongly. Those signals are combined into a single probability. The National Baseline slider then adds a direct percentage-point shift on top, with no distortion.
Crucially, the model maps Interaction Deltas—meaning traits don't exist in a vacuum. Being "65+" might pull one way for a White voter, but a completely different way for a Black voter. The Gravity Well splits these interaction synergies dynamically, so the beam for Age updates in real-time based on what you select for Race or Education.
The central orb is your voter. Particles flow toward the blue pole (Democrat) or red pole (Republican) - denser flow means a stronger lean. Each beam is one active trait: thicker and brighter means higher pull strength, its direction shows which party it favors. Tap any beam to see that trait's stats. Tap the orb to see the full split.