v0.2.0Evidence sparseNevada Governor · Research Preview · Nov 3, 2026
The model sees an essentially even race.
This research preview is centered on reviewed polling and calibrated gubernatorial polling error. Certified past results are shown for context and add zero forecast points.
Conditional modeled chance to win · two modeled major candidates only · not projected vote share
Joe Lombardo +0.680% range: Joe Lombardo +13.6 to Aaron Ford +12.1
Conditional modeled chance to win · two modeled major candidates only · not projected vote share
Joe Lombardo +0.780% range: Joe Lombardo +12.6 to Aaron Ford +11.2
Evidence desk · Snapshot note
Joe Lombardo is favored by a polling-only research preview; certified historical results are shown for comparison, add zero forecast points, and published uncertainty leaves both candidates a credible path.
Published fallback
The published polling-only research preview favors Joe Lombardo, with current polling pointing to Joe Lombardo. Certified historical results produce a Republican comparison margin, but that reference belongs to earlier candidates and adds zero forecast points. The uncertainty range leaves room for either candidate, so this is not treated as a certain outcome.
Joe Lombardo's evidence-based path is for the polling signal to hold up as more independent surveys arrive. The other candidate needs new verified polling to move that signal; these are conditional paths, not campaign recommendations or separate probabilities.
Watch whether future independent polling confirms or changes the present estimate. That evidence would update the polling center, while the historical comparison would remain descriptive rather than becoming a hidden model input.
Prepared from this forecast snapshot and the sources below.
Aaron Ford's clearest path requires new verified polling to move away from the present signal; the published uncertainty still leaves room for that reversal.
Joe Lombardo's clearest path is for the current polling signal to be confirmed by additional independent surveys.
Official forecast unchanged · Commentary only · Forecast effect 0
Deterministic race brief
Built directly from the published forecast and reviewed evidence. Model-assisted answers may explain this record, but they cannot revise it.
Joe Lombardo is the model favorite. Aaron Ford remains inside the model's central range of outcomes.
2 reviewed polls from 2 pollsters. Latest fieldwork ended Jul 16, 2026; sponsor: Democratic Governors Association.
Latest release · Public Policy Polling / Democratic Governors AssociationWe call it close because the central range crosses an even race.
Open the published forecast artifactThese evidence-cited readings explain plausible pressure on the race. Dependency groups separate mechanisms; shared-sample labels identify reused respondents across mechanisms. Neither is independent or additive.
No candidate-directed context has passed review yet.
No candidate-directed context has passed review yet.
The path requires reviewed polling to move toward Aaron Ford while the supportive conditions below hold.
No reviewed candidate-directed context yet.
No opposing directional context has passed review.
If these conditions change, the path changes. This is a scenario, not a second forecast.
The path is strongest if independent polls confirm the current lead and the supportive conditions below continue to hold.
No reviewed candidate-directed context yet.
No opposing directional context has passed review.
If these conditions change, the path changes. This is a scenario, not a second forecast.
The governor race can materially change Nevada's veto, appointment, and agenda-setting balance.
Observed: Nevada currently has a Republican governor and Democratic majorities in both legislative chambers.
What would change this: Certified legislative results would determine whether the governor result produces unified or divided control.
Dependency group · Nv State Control 2026
MultiStateThe first preview aggregates these options and therefore estimates only the two major candidates' win chances.
Observed: The ballot includes the two major-party nominees, a named nonpartisan candidate, and Nevada's None of These Candidates option.
What would change this: Repeated full-field surveys would support a separate modeled distribution for the named nonpartisan candidate and None.
Dependency group · Nv Candidate Field 2026
Associated Press · Nevada Secretary of StateEvidence desk · Published record
Ask what drives the forecast, what would need to change, or how a conditional scenario could play out in Nevada Governor.
Questions worth asking
Evidence map
The certified-result stations are descriptive references, not sequential model updates. The final two stations show the modeled polling center and forecast uncertainty.
Steve Sisolak versus Joe Lombardo, with other named candidates and None retained in the remainder.
Nevada's certified presidential vote, shown only as a recent statewide comparison.
The midpoint of the certified governor and presidential two-party margins. It is a descriptive comparison with exactly zero separate forecast effect.
Quality-, recency-, sponsor-, and correlation-adjusted estimate from reviewed polls.
The current polling center with uncertainty set by the nearest out-of-time gubernatorial polling-error calibration; historical reference results add no points.
Since the last run
Future changes will be tied to a poll, data release, or documented model update.
Calibration before confidence
Verified context stays outside the probability until it demonstrates predictive value in an out-of-sample election test.
Aaron Ford and Joe Lombardo are the major-party nominees. Named nonpartisan candidate Danielle Ford and Nevada's non-winning 'None' option are aggregated in this first two-major-candidate preview.
The prior governor and presidential results are displayed for context and add zero forecast points.
Reviewed polls use the same recency, quality, sponsor, and pollster-correlation controls as the archived backtest.
2 reviewed assessments explain direction and caveats with exactly zero forecast effect.
The error layer is historically calibrated; the full race-specific publication remains a research preview.
Historical check
Out-of-time production-aggregator polling error by days before Election Day. This calibrates the polls-only baseline and does not validate the full fundamentals model.
Read the complete backtest limits →Race replay
Move through the record one dated input at a time. The tape reveals a probability only when an archived model run exists; news never receives an automatic sentiment score.
The election-day median margin was -0.7 points with an 80% range from -12.6 to 11.2.
Reviewed releases
Swipe the table for other share and model use →
| Pollster / dates | Sample | Aaron Ford | Joe Lombardo | Other / undecided | Review / use |
|---|---|---|---|---|---|
| Public Policy PollingSponsor: Democratic Governors Association | 558 LV | 44% | 44% | — / 12% | Accepted With PenaltyIn current average |
| Noble Predictive InsightsSponsor: Nevada Public Opinion Pulse | 845 RV | 38% | 39% | 6% / 17% | Accepted With PenaltyIn current average |
News with a paper trail
The major-party matchup is set, while the public page aggregates the named nonpartisan candidate and None in its first preview.
Model treatment: Set the two modeled major candidates and preserve a prominent extra-options warning; no margin adjustment.The survey reports Ford and Lombardo tied, with the sponsor relationship reflected in its model weight.
Model treatment: Include with partisan-sponsor, quality, recency, and sparse-poll uncertainty controls.Built to be challenged
Every published run points back to its inputs, rules, simulation seed, and model version. Corrections create a new record instead of rewriting history.
Bind the candidate field and certified historical references to dated sources.
Adjust current polling for recency, sponsor, quality, and repeated pollsters.
Apply the nearest out-of-time gubernatorial polling-error calibration across the simulated outcome.
Publish the forecast artifact, source manifest, warnings, and validation state together.