For months, a small, little-known polling outfit called Wedgewood Polls appeared to be doing everything right. Founded quietly and operating on the fringes of the political data world, it nonetheless managed to get its surveys picked up by some of the most respected polling aggregators in American politics: The New York Times, the Silver Bulletin, the election-analysis Substack run by Nate Silver, and others. Its numbers looked timely, relevant, and plausible, covering high-profile races and feeding the endless appetite for political insight. Then, in a single statement on X, the whole thing unraveled. Wedgewood admitted that almost all of its data had been fabricated as part of what it called an “experimental project.” The statement read: “We wanted to test a simple hypothesis: How easy is it for an entirely fabricated polling firm to gain traction, be taken seriously, and expose how little scrutiny exists in media and public commentary? The short answer: Far too easy.” That answer was deeply unsettling, but the questions it raised were even more uncomfortable than the confession. What exactly did the people behind the experiment hope to prove? Why choose electoral politics as their laboratory? And what did it mean that a fake firm with invented numbers could weave itself so thoroughly into the fabric of public conversation that real journalists, data analysts, and readers treated it as credible? The company’s X account was deleted shortly after the admission, and an email to an address previously associated with the firm bounced back as undeliverable. Wedgewood did claim that it had conducted “one fully legitimate, crowdfunded” poll in Nebraska, but the rest of its output, the company said, was false. The episode was over, but its reverberations were just beginning.
The most remarkable part of the Wedgewood affair was how much effort the apparent hoaxers put into looking real. This was not a one-page website thrown together in an afternoon. Wedgewood appeared to understand the inner workings of the polling industry: how to present methodology, how to answer skeptical questions, how to make its numbers seem plausible enough to survive basic scrutiny. When FiftyPlusOne, a polling and analysis website, first reached out in June asking about Wedgewood’s background and methods, the company responded with a professional email identifying its leadership, describing its startup capital, and laying out its future plans. The New York Times later published an editor’s note explaining that it, too, had contacted Wedgewood before ever including the firm’s data in its polling aggregates. According to the Times, Wedgewood “answered a series of questions regarding the identities of the pollsters; the methods they were using to draw their sample, contact respondents and weight their polls; and the source of their funding.” Even on its now-deleted X account, Wedgewood worked hard to maintain the illusion of legitimacy, publicizing its email address and soliciting sponsorships for its alleged surveys. Zachary Donnini, the head of data science at the polling aggregator PollHub, said he actually donated his own money to help fund Wedgewood’s Nebraska poll because he wanted to support young, upstart pollsters. That human gesture of generosity made the betrayal sting even more. The people behind Wedgewood did not just fool the media; they fooled people who genuinely cared about the craft of polling and wanted to see new voices enter the field. The Nebraska poll may have been legitimate, as Wedgewood claimed, but the broader operation was a carefully constructed performance designed to expose how easily trust can be exploited. And by that measure, at least, it succeeded all too well.
Wedgewood was not the first fake polling firm to be exposed this year, and its appearance intensified an already painful conversation within the polling profession. Earlier in 2026, another company, Medium Strategies, admitted that it had fabricated polling data in high-profile races, including the Wisconsin Democratic gubernatorial primary and the Los Angeles mayoral primary. Medium Strategies, too, framed its deception as a “social experiment.” But there was a key difference: Medium Strategies’ numbers were largely excluded from the most well-known polling aggregators. Wedgewood, by contrast, managed to get its data into some of the most prominent outlets in the country. The episode came on the heels of other disturbing incidents as well. A small Florida firm had copped to changing certain respondents’ stated vote choices to better fit the pollster’s “read of the race.” Another outfit, SoCal Strategies, a firm that did not name its pollsters, went dark after an inquiry from The Washington Post. For people who spend their careers trying to measure public opinion honestly, the pattern was alarming. One Democratic pollster, speaking anonymously to talk candidly about the state of the business, described the fake polling episodes as a “slap in the face to the entire industry.” Public skepticism of polling has never been far below the surface, the pollster acknowledged, but there has to be some level of trust between opinion researchers, the media, and the public. “These bogus firms are undermining trust and making our jobs harder and your jobs harder,” the pollster said. “Let’s be clear: These are ‘social experiments’ or whatever they’re calling them. It’s misinformation.” The sentiment captured a profession that felt not only embarrassed but also threatened by people who treated the serious work of understanding voters as a game.
The Wedgewood experiment was not abstract. It had real-world consequences, and perhaps no one illustrated that more vividly than Michigan state Sen. Mallory McMorrow. McMorrow had been running for the Democratic nomination for Michigan governor, a campaign that she and her supporters had poured their hearts and time and money into for more than a year. Then, in late June, Wedgewood published a poll showing her support collapsing into single digits. The timing could not have been worse. Donors began pulling back, and McMorrow’s fundraising “dried up.” Reporters started calling to ask whether she was planning to drop out. The pressure mounted, and eventually she did leave the race before the primary. In the aftermath of Wedgewood’s admission, McMorrow wrote on X about what the experience felt like. “Sure, a point was proven. Polling is broken,” she said. “But tens of thousands of people poured their hearts, time, energy, hard-earned money into something they believed in – for a year-and-a-half, and it was treated like a game. Our volunteers gave their all. And then some. I felt like I had let so many of them down.” Her words were a reminder that fake data can damage more than just statistical averages. It can break the spirits of people who believe in something. It can shape narratives, influence donor decisions, and alter the course of real elections. The people behind Wedgewood may have seen themselves as digital tricksters exposing the gullibility of the media, but the people caught in the blast radius were not journalists or data analysts. They were volunteers, staffers, supporters, and candidates who had put their faith in a process that was supposed to be grounded in truth.
In the days after the revelation, polling aggregators moved quickly to scrub Wedgewood’s data from their databases. The Times, FiftyPlusOne, and the Silver Bulletin all removed the firm’s polls. But the damage had already been done. The American Association for Public Opinion Research, known as AAPOR, condemned Wedgewood in strong terms, calling the fabrication a “serious breach of ethics” that “undermines legitimate polling and public opinion work.” AAPOR President Mary Losch emphasized that fraudulent activity should not be confused with the honest, painstaking labor of legitimate polling organizations. “As we have emphasized previously, professional polling organizations are transparent, ethical, and work hard to provide critical information to the public and other stakeholders,” Losch said. “It is important that we don’t conflate fraudulent activity like this with legitimate election polling.” That distinction may sound obvious, but in a media environment where readers are already deeply skeptical of polls, the line between fraud and legitimate research can be blurry in the public imagination. When a fake pollster worms its way into major aggregators, it does not just embarrass those outlets; it reinforces the cynical belief that all polling is made up, that numbers can be manipulated to say anything, and that nobody can be trusted. For honest pollsters, that is a devastating outcome. They spend enormous resources trying to be transparent about their methods, their margins of error, and their limitations. They welcome scrutiny and publish their crosstabs. And yet one fraudulent actor can undo years of trust-building in a matter of weeks.
What, then, should be made of Wedgewood’s supposed experiment? If the goal was to expose the lack of scrutiny in media and public commentary, then the episode certainly provided evidence for that case. But it also raised troubling questions about the ethics of using deception to make a point. Polling is not a video game. It is a tool that helps citizens, journalists, and policymakers understand the will of the people. When someone fabricates polling data, they are not just playing a clever trick on the news media; they are tampering with the informational infrastructure of democracy itself. Wedgewood’s claim that it “never intended to sway an election or permanently mislead the public” offers little comfort to the candidates and voters who were misled along the way. The episode should serve as a wake-up call for everyone involved in the polling ecosystem. Aggregators need to adopt stricter standards for including new and untested firms. Journalists need to ask harder questions, verify primary sources, and resist the temptation to publish every number that looks plausible. Pollsters themselves need to continue demanding transparency and accountability from their peers. And the public needs to understand that while polling is imperfect, it is not inherently fraudulent. The vast majority of polling professionals are honest, careful, and dedicated to the truth. The people behind Wedgewood may have proven that a fabricated firm can gain traction, but they also reminded us why scrutiny matters, why trust is fragile, and why the consequences of deception are never just theoretical. In the end, the experiment was not a victory for skepticism. It was a cost imposed on everyone who believes that public opinion should be measured with integrity and reported with care.