BoardWatch · analysis

El Paso County BOCC land-use vote predictor

Describe a land-use matter heading to the Board of County Commissioners, and this estimates how each commissioner is likely to vote — using nothing but their own record across 896 individual votes cast by the sitting board.

Correction (Aug 24, 2026). Model v0.1 stated that Commissioners Applegate and Nelson had never dissented on a land-use matter and scored both at a 0% chance of voting no. That was wrong. It counted only votes recorded as “nay”, and missed dissents cast as a yes vote on a motion to deny — which is how this board recorded several of its denials. Applegate has opposed 3 applications and Nelson 1. Version 0.2 reads the same data as the vote tracker, so the two cannot disagree again, and it no longer assigns anyone a zero probability. The tracker was correct throughout.
Projected outcome for a routine application >99% chance the board approves

Assumes no aggravating factors. Tick any that apply below and this updates. 3 of 5 seats carry a decision.

Factors present in this matter

How each commissioner is likely to vote

CommissionerForAgainst Est. chance of voting no95% rangeProjection
Applegate 90 3 3.7% 1.1%–9.1% Very likely yes
Geitner 341 2 0.7% <1%–2.1% Very likely yes
Nelson 54 1 2.7% <1%–9.6% Very likely yes
Williams 312 10 3.3% 1.7%–5.6% Very likely yes
Wysong 71 12 15% 8.5%–24% Likely yes

“For” and “against” count positions on the application itself: a yes vote on a motion to deny counts as a vote against the application.

How this works

This is a transparent rubric, not machine learning. It starts from how often each commissioner has actually voted against a land-use application, then adds a fixed amount for each aggravating factor present. Every number it uses is on this page.

Why nobody scores zero

A commissioner who has never voted against an application in fifty votes has not proved they never will — fifty votes is simply not many. Rates here use the Jeffreys estimator, (dissents + 0.5) ÷ (votes + 1), the standard approach for exactly this situation, which never returns 0% or 100%. The 95% range beside each rate shows how thin the evidence is: a commissioner with one dissent in fifty-five votes has a range spanning an order of magnitude, and that range is the honest answer.

What moves the estimate

Each factor carries a fixed weight, listed beside it above and traceable to specific votes. Weights are scaled by how much a given commissioner's own record suggests they respond to such factors, so a member who has dissented once in three hundred votes is not pushed to a coin flip by a single checkbox.

What this cannot do

It assumes commissioners vote independently. They do not — they deliberate together, and dissents cluster. It knows nothing about the specific applicant, the staff recommendation, or anything said at the hearing. It is a projection of likely behaviour from past behaviour, and it is most reliable on routine matters, which are most of them.

Corrections

This tool reports estimates, not facts, and applies no rating to any official. If something here is wrong, tell us at editor@monumentindependent.com. See also our editorial policy and corrections.