Wedgewood Polling fraud killed Mallory McMorrow's campaign
By Dana Whitfield · Reporting from Washington ·
Wedgewood Polling admitted to fabricating data to expose industry flaws, but the hoax destroyed Mallory McMorrow's Senate bid and proves that institutional vetting has collapsed.
Wedgewood Polling is not a social experiment; it is a fraud. By fabricating data to "expose" the industry, they did not just prove a point. They destroyed a political career. The firm is wrong for lying, and the media is wrong for being too lazy to vet the numbers. This is not a "wake-up call." It is a crime against the boring, trustworthy competence that makes a democracy function.
The cost of a fake point
The damage was immediate and precise. A June 29 survey from Wedgewood placed state senator Mallory McMorrow at 9 percent in the Democratic primary. It put Abdul El-Sayed at 46 percent and U.S. Rep. Haley Stevens at 39 percent.
According to Newsweek, these numbers "killed" McMorrow's campaign. She suspended her bid on July 5. She told MIRS.news that donations dried up and reporters pressured her to drop out.
The fraud extended to the general election. Wedgewood's fake results showed Republican Mike Rogers leading McMorrow 48 percent to 41 percent.
This created a narrative of inevitability. We saw this same failure during The 2016 United States presidential election polls. In both cases, bad data drove donor behavior and campaign strategy.
Wedgewood also boosted the progressive flank. Their fabricated data showed El-Sayed leading Rogers 49 percent to 44 percent.
The firm tried to look professional. They released a nine-page document with demographic breakdowns. They claimed to have surveyed 602 likely general-election voters. They also claimed to have 353 likely Democratic primary voters.
Wedgewood called this an "experimental project." They claimed the goal was to show a "lack of oversight" in the industry.
The numbers were designed to look real. They listed a margin of error of ±5.7 percentage points.
The vetting vacuum
The media and aggregators were the conduits for this lie. The New York Times removed 15 Wedgewood polls. Decision Desk HQ removed 17 polls from its projections.
This is the Cambridge Analytica scandal all over again. Both share the weaponization of fabricated or deceptively acquired data to manipulate political outcomes and exploit systemic vulnerabilities in data oversight.
Democratic strategist Mike Nellis did not mince words. He told Fox News Digital that the people responsible are "absolute scumbags." He argued that they committed fraud and should be prosecuted.
The fraud was not just a high-level game. Wedgewood used a GoFundMe to raise money for polls in Nebraska. They raised $500 of a $5,000 goal.
The firm’s reach was wide. In Texas, a July poll showed State Representative James Talarico leading Attorney General Ken Paxton among Hispanics 64 percent to 30 percent.
This is the same pattern seen in The Great Hack. An entity used manipulated data to influence outcomes, then blamed a "systemic failure" to avoid accountability.
FiftyPlusOne exposed the rot. Researcher G. Elliott Morris and his team found that respondent identifiers did not match the patterns of the survey platform Wedgewood claimed to use.
The path to boring competence
We cannot rely on the "honor system" for political data. When speed trumps verification, the result is a pollercoaster that ruins lives.
The industry's current state is a fantasy. We have automated aggregators that swallow any PDF that looks like a poll. This creates a feedback loop where a single fake number can starve a campaign of cash.
The only workable answer is a technical one. We must move past self-submitted questionnaires.
Major political data aggregators and media outlets must institute mandatory cryptographic or platform-level source verification requirements for any polling firm. We need to see the raw transaction logs before a poll hits a moving average.
This is the only way to rebuild the trust Mallory McMorrow says is at an all-time low. We need a system where data is audited, not just accepted. If we continue to treat election data as a game, we should not be surprised when the players start cheating.