Statistical Anomalies in LA Mayoral Election: A Deeper Analysis

DISCLAIMER: This article presents a statistical analysis of publicly available election data. It does not allege fraud, illegal conduct, or wrongdoing by any candidate, election official, or government entity. The statistical anomalies documented below demand transparent explanation. That is the appropriate standard in a functioning democracy. Nothing more is claimed here.

Introduction

Elections in the United States are decided by votes. The integrity of those votes depends not only on the honesty of those casting them but on the transparency and consistency of how they are counted. When the statistical profile of mail-in ballot counting diverges from election day results by a margin that falls outside any reasonable probability model, the public interest demands a clear and documented explanation.

This article presents a statistical analysis of Spencer Pratt's performance in the 2026 Los Angeles mayoral primary election. The analysis compares his election day vote share to his performance in subsequently counted mail-in ballot batches. The divergence between these two data sets is not a matter of opinion or political interpretation. It is a mathematical fact that warrants examination.

This is not an endorsement of any candidate. It is an application of basic statistical principles to publicly available election data.

Background: The Race

The 2026 Los Angeles mayoral primary featured fourteen candidates, with incumbent Mayor Karen Bass seeking a second term against a field that included former reality television personality Spencer Pratt, a registered Republican whose Palisades home was destroyed in the devastating 2025 wildfires, and Los Angeles City Councilwoman Nithya Raman, a Democratic Socialists of America member challenging Bass from the left.

Under California's election rules, if no candidate receives more than fifty percent of votes in the primary, the top two candidates advance to a November runoff election. Mayor Bass secured enough votes to advance. The race for second place — and the November runoff slot — became a contest between Pratt and Raman.

A pre-election UC Berkeley-LA Times poll conducted in May 2026 showed Bass with twenty-six percent support, Raman at twenty-five percent, and Pratt at twenty-two percent among likely voters — a margin of error of approximately three percent.

Election Night Results

Pratt significantly outperformed his pre-election polling. With sixty-six percent of the expected vote counted on election night, results showed:

• Karen Bass: 35% — Projected to advance to November runoff
• Spencer Pratt: 29.4% — Comfortably in second place
• Nithya Raman: 23.4% — Trailing Pratt by approximately six percentage points

Pratt held what appeared to be a comfortable lead over Raman. By Thursday, with additional votes counted, the gap remained near six percentage points.

With 163,549 votes in Los Angeles' latest tabulation, Pratt maintains a near 6% lead on Raman, who has 130,473 votes. — Fox News, Thursday June 5, 2026

The Mail-In Ballot Divergence

As mail-in ballot batches were counted and released in the days following the election, a striking divergence from election night results emerged. Rather than tracking the established proportions, the mail-in batches showed a dramatic and statistically extraordinary shift.

The Zero-Vote Batch

The initial anomaly identified was a batch of approximately 24,000 mail-in ballots in which Pratt received zero votes. At his election night rate of 29.4 percent, the expected number of Pratt votes in such a batch would be approximately 7,056.

Probability of zero Pratt votes in 24,000 ballots at 29.4%: 1 in 10^3,629 — Effectively impossible by random chance

For context: the total number of atoms in the observable universe is estimated at approximately 10^80. The probability of Pratt receiving zero votes in that batch, if his actual support rate was 29.4 percent, is incomparably smaller than randomly selecting one specific atom from the entire universe on the first attempt.

The Subsequent Batch Analysis

Examining the larger batch of mail-in votes reported since Thursday — totaling 54,245 votes across Pratt, Raman, and Bass — the divergence becomes statistically quantifiable.

• Pratt mail-in share: 19.7% vs. 29.4% election night — deficit of 9.7 percentage points
• Raman mail-in share: 42.6% vs. 23.4% election night — gain of 19.2 percentage points
• Pratt vote deficit: 5,237 votes below statistically expected count in this batch alone

In concrete terms: if mail-in ballots had simply reflected election night proportions, Pratt would have received approximately 15,948 votes in the analyzed batch. He received 10,711 — a shortfall of 5,237 votes in a single counting batch.

Statistical Analysis

The Chi-Square Test

The chi-square test measures whether an observed distribution of votes differs significantly from what would be expected based on a reference distribution — in this case, election night proportions.

• Chi-square statistic: 10,376.18 — Extraordinarily high (any value above 6 is statistically significant at the 95% confidence level)
• Degrees of freedom: 2
• P-value: Effectively zero

A p-value of zero means the observed distribution of mail-in votes cannot be explained by random sampling variation from the election night population.

The Z-Score Analysis

The z-score measures how many standard deviations an observed result falls from its expected value.

Z-score for Pratt's mail-in performance: -49.35 — Forty-nine standard deviations below his election night rate

A z-score of negative forty-nine does not exist in the normal range of human statistical experience. This number is not an anomaly. It is a mathematical impossibility under any standard probability model that assumes mail-in voters come from the same population as election day voters.

Three Possible Explanations

Statistical analysis identifies the anomaly. It does not, by itself, determine the cause. There are three explanations that must be considered:

Explanation One: Population Differences — California leads the nation in mail-in voting, with eighty-one percent of voters sending their choices by post in 2024. It is theoretically possible that Pratt's support is concentrated among voters who specifically chose to vote in person. However, even accepting significant population differences, a forty-nine standard deviation divergence cannot be explained by population variation alone.

Explanation Two: Counting Methodology or Batch Composition — It is possible that the batches being released are not random samples but geographically or demographically concentrated subsets. If, for example, batches from heavily Democratic precincts were counted and released first, this could produce skewed results. This is the most statistically plausible benign explanation. It requires verification through batch-level geographic data.

Explanation Three: Data or Counting Error — Human or mechanical error in counting or reporting could produce anomalous batch results. This explanation is consistent with the statistical evidence and would be resolved by an audit of the affected batches against physical ballots.

What Transparency Requires

Regardless of the ultimate explanation, the statistical anomalies documented here require a clear public response from Los Angeles County election officials. Specifically:

1. A batch-by-batch geographic breakdown showing which precincts or zip codes each reported batch represents
2. An explanation of the counting methodology and the order in which batches are being processed
3. An independent audit of the zero-vote batch and the subsequent batches showing Pratt's dramatically reduced share

These are not partisan requests. They are the minimum requirements of transparent democratic administration.

Conclusion

The statistical profile of mail-in ballot counting in the 2026 Los Angeles mayoral primary is extraordinary by any objective measure. A z-score of negative forty-nine and a chi-square statistic of over ten thousand are not numbers that occur through normal variation in democratic elections.

This analysis does not conclude that fraud occurred. It concludes that the statistical evidence is so far outside normal parameters that it cannot be dismissed without explanation. The citizens of Los Angeles, regardless of their preferred candidate, are entitled to that explanation.

Transparency is not a partisan value. It is the foundation of electoral legitimacy.