**FOR IMMEDIATE RELEASE**

FOR IMMEDIATE RELEASE

THE NEW YORK TIMES/SIENA POLL: A STATISTICAL GLITCH IN THE MATRIX?

NEW YORK — Political analysts were left scratching their heads today after the latest New York Times/Siena College poll produced what data scientists are calling a “statistical code anomaly” — a hauntingly precise mathematical palindrome embedded in the raw data that appears to predict the same outcome for two diametrically opposed candidates.

The glitch was first noticed by independent data auditor James “Flux” Corrigan, who was running a standard integrity check on the crosstabs. According to Corrigan, the poll’s favorability ratings for President Joe Biden and former President Donald Trump among “double-negative partisan defectors” — voters who dislike both candidates — contained a perfect mirror sequence.

“The data points read: 32, 41, 50, 41, 32. That’s the exact same sequence, forward and backward, for both candidates among this specific subgroup,” Corrigan said. “In combinatorics, the odds of this happening in a random sample are roughly 1 in 15 billion. That’s higher than the total number of voters in the United States. This isn’t a rounding error. This is a fingerprint in the code.”

Even more unsettling: The anomaly only appears when the data is filtered by the exact time stamp of 4:44 PM Eastern — which pollsters say is when the final batch of phone interviews was completed.

“This was the ghost in the machine,” said Dr. Helena Vance, a former Census Bureau statistician. “The raw numbers suggest a hidden symmetry — as if the data was trying to tell us that, despite all evidence, these two candidates are numerically indistinguishable in this pivotal demographic. It’s like finding the number 42 in the deep code of The Hitchhiker’s Guide.”

The New York Times