A Polling Company Admitted Its Election Data Was Fake — Now Americans Are Asking Which 2026 Polls They Can Trust
Just days before Americans decide who controls Congress, the political polling industry has been hit by a scandal that could not have arrived at a worse time.
A polling organization whose election surveys circulated through American political media has admitted that its numbers were fabricated.
Not inaccurate.
Not simply outside the margin of error.
Not the result of a bad turnout model.
Fabricated.
Wedgewood Polls, a previously obscure polling operation that suddenly began publishing election surveys during the 2026 campaign, acknowledged that its data was not genuine after researchers investigating the organization identified serious problems with its supposed raw survey information.
The company claimed the deception was an “experimental project” intended to demonstrate weaknesses in the modern polling industry.
But by the time the truth emerged, its numbers had already traveled through the political information system.
Poll trackers had included its surveys.
News organizations had cited them.
Political analysts had discussed them.
Campaign supporters had shared them.
Candidates had been forced to respond to the political narratives those numbers helped create.
Now major polling aggregators are removing Wedgewood surveys from their databases while election experts confront an uncomfortable question:
If a fake polling organization could penetrate the political ecosystem this easily, how many voters actually know which election polls they can trust?
The controversy is especially serious because Election Day is November 3.
Americans are already voting.
Senate races are extremely close.
Control of the House is uncertain.
Campaigns are making decisions based partly on polling.
Donors use polling when deciding where to contribute.
Volunteers use polling to judge whether campaigns have momentum.
And voters themselves can be influenced by the perception that a candidate is winning or losing.
The Wedgewood scandal therefore exposes something much larger than one dishonest polling operation.
It reveals how vulnerable America’s election-information system has become in an era where anyone can build a professional-looking website, publish numbers online and potentially create the appearance of a legitimate research organization.
Wedgewood Polls Admitted the Numbers Were Fabricated
Wedgewood entered the political polling world only recently.
The organization presented itself as a legitimate survey operation.
It published polling from competitive political races.
Its numbers were picked up by election analysts and included in databases used to track campaigns.
Then researchers began looking more closely.
According to reporting on the scandal, analysts at FiftyPlusOne obtained supposed raw data connected to a Wedgewood Mississippi Senate survey.
Wedgewood said the poll had been conducted through the online survey platform Pollfish.
Researchers then conducted their own comparison using the same provider.
The data did not behave the way authentic Pollfish survey data should have behaved.
Respondent identification patterns raised questions.
Completion timestamps raised questions.
The supposed raw information did not appear consistent with what researchers expected from an authentic survey conducted using the platform.
Investigators confronted Wedgewood.
The organization then admitted its polling had been fabricated.
Wedgewood Says It Was a “Social Experiment”
The firm’s explanation created even more controversy.
Wedgewood said the operation was designed as an experiment demonstrating how easily unverified polling could enter mainstream political discourse.
The organization argued that its fabricated numbers received credibility from major media and polling platforms without sufficient scrutiny.
In other words, Wedgewood’s defense was essentially that the deception proved the point it was designed to prove.
Critics were not impressed.
Election polling does not exist in a laboratory separated from real consequences.
Political campaigns are real organizations.
Candidates make real decisions.
Volunteers donate real time.
People contribute real money.
Journalists publish real stories.
And voters form real impressions.
Publishing fabricated polling in the middle of an actual election can therefore affect people who never agreed to participate in someone’s experiment.
That distinction has become central to the backlash.
The Fake Polls Reached Major Political Platforms
One reason the scandal matters is that Wedgewood did not remain confined to an obscure corner of the internet.
Its polling entered respected political information systems.
The New York Times polling project had listed Wedgewood surveys.
Nate Silver’s election analysis operation had tracked the firm.
Decision Desk HQ included Wedgewood polls.
FiftyPlusOne included them before ultimately investigating the data.
Other media organizations cited the numbers in political coverage.
After the admission, organizations began removing Wedgewood’s polls.
Decision Desk HQ said it removed 17 Wedgewood surveys from its race-level polling lists and averages.
Other polling operations similarly excluded the firm’s data.
But deleting a poll after it has already circulated cannot completely reverse its impact.
The original articles may have been read.
Screenshots may remain online.
Social-media posts may still circulate.
Political impressions may already have formed.
One Candidate Says Fake Polls Hurt Her Campaign
Perhaps the clearest example of real-world consequences comes from Michigan.
Democratic Michigan state Sen. Mallory McMorrow had been running in a competitive U.S. Senate primary earlier in the year.
Wedgewood polling reportedly showed her support collapsing.
McMorrow later withdrew from the race.
After Wedgewood admitted its numbers were fabricated, she described the damage the polling narrative caused.
Donations slowed.
Volunteers became discouraged.
Reporters contacted her campaign asking whether she should drop out.
Supporters who had spent months working on the campaign were left believing momentum had disappeared.
That is not an academic consequence.
Campaigns depend heavily on perceived viability.
A candidate who appears to be winning attracts attention.
A candidate who appears to be collapsing can quickly lose money and support.
Fake polling can therefore become self-fulfilling.
Polls Do Not Simply Measure Elections — They Can Influence Them
This is one of the most misunderstood aspects of political polling.
Polls are supposed to measure public opinion.
But once published, they can also influence political behavior.
Suppose a poll shows Candidate A ahead by 15 points.
Donors may conclude Candidate B cannot win.
They stop contributing.
Volunteers decide their time would be better spent elsewhere.
Political organizations redirect money to another race.
News coverage begins discussing Candidate B’s campaign as doomed.
Voters hear repeatedly that the candidate is losing.
Eventually the campaign actually does collapse.
The poll did not merely measure political reality.
It helped create it.
That is why fabricated polling can be so damaging.
This Is Not the First Fake-Polling Scandal of 2026
Wedgewood is not even the first polling operation this year to admit publishing fabricated election data.
Earlier in 2026, another organization called Median Strategies published fake polling in several states before withdrawing the numbers and shutting down.
That organization also described its project as an experiment designed to expose weaknesses in the polling ecosystem.
The similarities are striking.
A previously unknown organization appears.
It creates a professional-looking online presence.
It publishes surprising political numbers.
The numbers circulate.
Questions emerge.
Then the organization admits the polling was not real and says the deception was intended to prove how easily fake information could spread.
Two incidents in the same election cycle suggest a systemic vulnerability rather than a one-time prank.
Median Strategies Fooled Political Audiences Too
Median Strategies published purported polling involving races in California, Wisconsin and Nevada.
One fabricated California survey became particularly notable after Los Angeles Mayor Karen Bass cited it publicly as evidence that her campaign was gaining momentum.
Then the polling organization admitted its data was fake.
That example demonstrates how easily fabricated numbers can move from an anonymous website into real political messaging.
A campaign sees favorable polling.
The candidate shares it.
Supporters amplify it.
Journalists report the candidate’s reaction.
Suddenly fabricated numbers have become part of the campaign narrative.
Even if the original source disappears, the political impact has already occurred.
Why Is It So Easy to Look Like a Polling Company?
The internet dramatically lowered the cost of appearing legitimate.
A sophisticated polling organization once required substantial visible infrastructure.
Office space.
Telephone banks.
Professional staff.
Established researchers.
Institutional relationships.
Today, a website can be created in hours.
A logo can be generated instantly.
A professional biography can be written.
Social-media accounts can be created.
Charts can be designed.
A methodology page can be published.
Artificial intelligence can generate polished explanations of sampling methods and statistical procedures.
To an ordinary voter, the result can look indistinguishable from a real polling firm.
That creates a credibility problem.
Professional appearance no longer guarantees professional substance.
AI Could Make Fake Polling Even Easier
Artificial intelligence makes the problem significantly more dangerous.
A fraudulent organization does not simply need fake numbers.
It needs supporting documentation.
AI can help generate it.
A fake pollster can produce methodology descriptions.
Executive summaries.
Demographic tables.
Charts.
Press releases.
Questionnaires.
Analyst biographies.
Social-media posts.
Responses to skeptical journalists.
The documents can look sophisticated even when the underlying research never happened.
AI does not automatically make fraud convincing.
But it dramatically reduces the amount of effort required to create the appearance of legitimacy.
That raises the barrier journalists and polling aggregators must overcome when verifying new organizations.
Raw Data Can Be Faked Too
One traditional method of verifying a pollster is asking to see more detailed information.
Who participated?
When was the poll conducted?
How were respondents recruited?
What demographic weighting was used?
What were the exact questions?
How were likely voters identified?
But sophisticated fraud can extend into those layers.
A dishonest organization can fabricate datasets.
That appears to be part of what made the Wedgewood situation so significant.
Investigators did not simply identify a strange top-line result.
They examined underlying data patterns.
That level of scrutiny may become necessary for new polling organizations.
Not Every Bad Poll Is Fake
The scandal creates another danger.
Voters may begin assuming every inaccurate poll is fraudulent.
That would be a mistake.
Legitimate polls can be wrong.
Polling is statistical estimation.
A survey asks a relatively small number of people questions and attempts to infer the preferences of a much larger population.
That process contains uncertainty.
A poll showing a candidate ahead by two points does not mean that candidate is guaranteed to win.
A three-point margin of error means the actual race could plausibly look different.
And even that margin does not capture every possible source of error.
Turnout Is Extremely Difficult to Predict
One of the hardest problems in election polling is determining who will actually vote.
A pollster can interview 1,000 registered voters.
But not all 1,000 will cast ballots.
The organization therefore needs a likely-voter model.
Who has voted previously?
How motivated are they?
How closely are they following the election?
Do they know where their polling place is?
Have they already voted?
Different pollsters answer those questions differently.
That can produce different results even when every organization is acting honestly.
Midterm elections make the problem harder because turnout is lower and less predictable than during presidential elections.
Polling Error Is Not Evidence of Fraud
Suppose a poll says a Democrat leads 48 percent to 46 percent.
The Republican wins 49 percent to 48 percent.
That does not mean the poll was fake.
Public opinion may have changed.
Undecided voters may have broken toward the Republican.
The likely-voter model may have underestimated Republican turnout.
The difference may fall within ordinary statistical uncertainty.
Fraud is something else entirely.
Fraud means the organization knowingly represented fabricated information as genuine survey research.
The distinction matters.
Polling Averages Are Usually Better Than Individual Polls
One of the safest ways for voters to interpret election polling is to avoid obsessing over a single survey.
Individual polls contain noise.
Averages can reduce that noise.
If eight reputable polls show a race within three points, the reasonable conclusion is that the election is competitive.
It does not matter very much whether one survey shows the Democrat ahead by two while another shows the Republican ahead by one.
The broader pattern matters more.
That is why polling aggregators became so influential.
They combine multiple surveys to create a clearer picture.
Unfortunately, the Wedgewood scandal demonstrates that an average is only as trustworthy as the data entering it.
Fake Polls Can Contaminate Polling Averages
Imagine five legitimate polls.
Candidate A leads by one point in each.
Then a fraudulent organization publishes a poll showing Candidate B ahead by 12.
If an aggregator treats every poll equally, the fake survey pulls the average toward Candidate B.
More sophisticated models weight polls differently based on methodology and historical quality.
But new organizations create a challenge because they have no track record.
Should they be excluded until they prove themselves?
If so, legitimate new pollsters may struggle to enter the industry.
Should they be included immediately?
Then fraudulent organizations can exploit the openness.
There is no perfect solution.
The Media Loves Surprising Polls
The economics of digital journalism can make the problem worse.
A poll showing exactly what everyone expects is not particularly exciting.
“Race Remains Tied” is less clickable than “Shock Poll Shows Candidate Surging.”
Unexpected numbers generate attention.
Attention generates traffic.
Traffic generates advertising revenue and subscriptions.
That creates an incentive to cover outlier polls.
The more surprising the result, the more important verification becomes.
Unfortunately, the more surprising the result, the more pressure there may be to publish quickly before competitors do.
Fake pollsters can exploit that tension.
Social Media Removes Even More Gatekeepers
Traditional news organizations at least have editors and reporting standards.
Social media has almost no barrier to entry.
Someone can post a graphic saying:
“BREAKING: NEW POLL”
Add candidate photographs.
Include percentages.
Attach the name of an unfamiliar polling organization.
Thousands of people may share it without ever clicking the source.
By the time fact-checkers respond, millions may have seen the image.
Political accounts can intentionally amplify favorable polling regardless of quality.
A partisan influencer does not necessarily care whether the methodology is strong.
They care whether the numbers support their preferred candidate.
Fake Polls Can Become Fundraising Tools
Campaign fundraising messages frequently cite polls.
“NEW POLL: WE’RE DOWN 2 POINTS.”
“BREAKING: WE JUST TOOK THE LEAD.”
“THIS RACE IS TIED.”
Those messages create urgency.
Supporters are told that $10 or $25 could determine whether the campaign wins.
Sometimes the polling is legitimate.
Sometimes campaigns selectively cite favorable surveys.
The fake-polling scandals introduce an even more troubling possibility.
Fabricated numbers could potentially be used to influence fundraising behavior.
A fake survey showing a close race can make donors believe their contribution is especially important.
That is another reason polling integrity matters.
Prediction Markets Could Create Financial Incentives
Election prediction markets add another dimension.
People can financially trade on political outcomes.
If a fake poll causes the perceived probability of a candidate winning to change, market prices can move.
That creates a potential financial incentive for manipulation.
An individual could theoretically take a market position and then distribute false information designed to move the price.
Median Strategies reportedly stated that nobody involved with its operation held positions in election prediction markets.
That denial itself demonstrates why the question matters.
As political information becomes connected to financial markets, fabricated polling becomes more than political misinformation.
It can potentially become market manipulation.
Campaigns Depend on Private Polling Too
Public polls are only part of the industry.
Campaigns conduct their own internal surveys.
Those polls help decide where candidates travel.
Which advertisements they run.
Which issues they emphasize.
Which demographic groups they target.
How they allocate money.
Internal polling can be much more detailed than public surveys.
Campaigns generally know who conducted those polls and have contractual relationships with established firms.
That makes outright fraud less likely.
But campaigns can still misinterpret data.
And campaigns sometimes selectively release favorable internal polling to shape media coverage.
Whenever you see a campaign release its own poll, remember that the campaign chose to make that particular result public for a reason.
Pollsters Have “House Effects”
Even legitimate polling organizations can consistently produce slightly different results.
One firm may regularly show Democrats performing somewhat better than the broader polling average.
Another may show Republicans doing better.
These tendencies are sometimes called house effects.
They do not necessarily indicate bias or misconduct.
They can result from methodology.
How voters are contacted.
How samples are weighted.
How likely voters are identified.
How undecided voters are handled.
Understanding those differences helps explain why responsible analysts compare multiple polls rather than treating each new survey as absolute truth.
The 2026 Midterms Are Especially Vulnerable to Polling Confusion
This year’s election contains numerous extremely competitive races.
Control of the Senate is uncertain.
Republicans currently hold a 53-47 advantage.
Democrats need four additional seats for outright control.
The House is even more precarious.
Republicans hold a narrow majority.
Roughly 40 House races are considered competitive.
When margins are that small, polling receives enormous attention.
A two-point shift in one Senate race can change national expectations.
A handful of House districts can determine which party controls the chamber.
That makes the information environment particularly valuable—and particularly vulnerable.
A Fake Mississippi Poll Is Especially Significant This Year
Wedgewood’s supposed Mississippi Senate data is notable because Mississippi itself has become an unexpectedly interesting race.
Democrat Scott Colom is challenging Republican Sen. Cindy Hyde-Smith.
The state remains Republican-leaning.
But the contest has attracted attention because Colom has raised substantial money and is attempting to build a coalition based on enormous Black turnout plus crossover support among White voters.
A fabricated poll in a race like that can influence perceptions dramatically.
If voters are told an underdog is suddenly tied, national donors may begin paying attention.
If they are told the candidate is collapsing, donors may look elsewhere.
Polling narratives can affect resource allocation even before a single vote is counted.
Voters Should Look at Who Conducted the Poll
The first question when encountering a political survey should be simple:
Who conducted it?
Recognizable organizations with established track records deserve more confidence than anonymous operations created weeks ago.
That does not mean famous pollsters are always correct.
It means they have reputations to protect.
Look for information about the organization.
Who works there?
How long has it existed?
Does it publish methodology?
Can journalists contact its staff?
Has it conducted previous elections?
Does it belong to professional polling organizations?
Transparency matters.
Look at Who Paid for It
The sponsor is also important.
A poll conducted for a campaign or partisan organization can still be methodologically legitimate.
But voters should know who paid.
Suppose a Democratic super PAC releases a survey showing the Democratic candidate ahead.
That does not automatically make the poll wrong.
But the financial relationship is relevant context.
The same applies to Republican organizations.
Independent media polls may have fewer direct partisan incentives, although they still contain ordinary methodological uncertainty.
Look at the Sample Size
A poll interviewing 250 voters generally provides less precision than one interviewing 1,500.
Sample size is not everything.
A badly designed large survey can be worse than a carefully designed smaller one.
But extremely small samples should be interpreted cautiously.
Subgroup results require even greater caution.
A national poll may interview 1,000 voters but contain only 120 Black respondents.
A headline saying “Black voters shift dramatically” based on that small subgroup may exaggerate what the survey can actually tell us.
Look at When the Poll Was Conducted
Election opinion can change quickly.
A poll released today may have been conducted a week ago.
That matters during fast-moving campaigns.
A debate occurs.
A scandal breaks.
Gas prices spike.
A candidate receives a major endorsement.
A war escalates.
An advertisement goes viral.
The political environment changes.
Always look at field dates rather than only the publication date.
Read the Actual Question
Question wording matters enormously.
Consider two hypothetical questions.
“Do you support government action to guarantee affordable healthcare?”
And:
“Do you support expanding federal control over America’s healthcare system?”
Those questions may refer to similar policies.
They can produce very different responses.
Responsible polling organizations publish exact question wording.
Voters should be skeptical when only percentages are available.
Beware of Polls That Look Too Perfect for Your Politics
Confirmation bias is one of the easiest vulnerabilities to exploit.
People naturally like information confirming what they already believe.
A Democrat sees a poll showing Democrats winning everywhere and immediately shares it.
A Republican sees a poll showing a Republican landslide and does the same.
Fake pollsters benefit from that behavior.
The most important time to question a poll may be when you desperately want it to be true.
Ask whether you would trust the same organization if the numbers showed your preferred candidate losing.
If the answer is no, your judgment may be partisan rather than analytical.
Polls Are Snapshots, Not Predictions
This phrase is repeated constantly because it is true.
A poll measures opinion during a particular period.
It does not guarantee the future.
A candidate leading today can lose next week.
Undecided voters can move.
Turnout can differ from expectations.
Campaign events can change opinions.
Weather can affect Election Day participation.
A poll showing 48-47 should generally be interpreted as a close race, not proof that one candidate will win.
Even High-Quality Polls Can Miss
The polling industry has experienced major misses before.
2016 surprised many analysts.
2020 produced significant errors in several states.
2022 was better for some polling averages but still contained misses.
2024 produced its own lessons.
Polling organizations continually modify methodology in response.
Some incorporate voter-registration files.
Some use online panels.
Some combine telephone and digital outreach.
Some adjust weighting methods.
Polling is constantly evolving because the electorate and communication technology are changing.
That is another reason one survey should never be treated as gospel.
Fake Polling Could Damage Legitimate Pollsters
The greatest long-term consequence may be declining public trust.
Legitimate polling organizations invest significant money and expertise into producing real research.
Interviewing representative samples is expensive.
Weighting data correctly requires statistical expertise.
Designing neutral questions requires experience.
Fraudulent organizations can imitate the appearance of that work at a fraction of the cost.
When fake polling is exposed, ordinary voters may not distinguish between the fraudulent operation and the industry as a whole.
They simply conclude:
“Polls are fake.”
That damages everyone.
Politicians Already Attack Polls They Dislike
Candidates frequently dismiss unfavorable surveys as fake.
Trump has done this repeatedly.
Democrats have also criticized polls they consider flawed or biased.
The Wedgewood scandal gives politicians additional ammunition.
Now a candidate can point to an actual case where a polling organization admitted fabricating data.
That makes it easier to encourage supporters to ignore legitimate unfavorable polling.
The distinction between “this poll may have methodological weaknesses” and “this poll was literally fabricated” can disappear in partisan rhetoric.
This Creates a Problem Similar to AI Deepfakes
The polling scandal and AI political advertising share a common danger.
Once people know fake content exists, they can begin dismissing authentic information as fake.
A real video becomes “AI.”
A real poll becomes “fabricated.”
A real news report becomes “fake news.”
The result is an information environment where evidence loses its ability to settle disagreements.
That is dangerous for democracy.
Elections require voters to make choices based on some shared understanding of reality.
They can disagree about policies.
They can disagree about values.
But if nobody agrees on basic facts, democratic accountability becomes much harder.
Polling Aggregators Are Tightening Their Standards
The scandal has already produced consequences within the polling industry.
Major aggregators removed Wedgewood’s surveys.
Analysts are discussing stricter vetting procedures for new firms.
Potential reforms include requiring video meetings with pollster staff.
Verifying employee identities.
Examining raw respondent data.
Confirming relationships with survey providers.
Reviewing timestamps and metadata.
Requiring greater methodological transparency.
Those steps could make fraud more difficult.
They could also make it harder for legitimate new organizations to enter the field.
The industry will have to balance openness with verification.
Newsrooms May Need Stronger Verification Too
Journalists face similar questions.
Should an unfamiliar poll be reported immediately?
Should news organizations require independent verification first?
How much methodology must a pollster disclose?
Should anonymous polling organizations receive coverage at all?
Should media outlets publish corrections prominently when polling later proves fraudulent?
These are no longer hypothetical editorial questions.
The 2026 scandals demonstrate that the cost of insufficient verification can be real.
Speed Is the Enemy of Verification
Modern political journalism operates extremely quickly.
A new poll appears.
Political reporters tweet it.
Campaigns respond.
Newsletters include it.
Television panels discuss it.
Polling averages update.
Within hours, the numbers become part of the political narrative.
Verification takes longer.
That imbalance favors misinformation.
Fake information can be produced instantly.
Proving it is fake requires investigation.
By the time investigators finish, the original claim may have reached millions.
Election Day Is Almost Here
The timing makes the scandal particularly consequential.
Americans vote November 3.
Early voting is already underway.
The House majority is at stake.
The Senate majority is at stake.
Governorships are at stake.
Campaigns are spending enormous amounts of money.
Trump and Obama are traveling through battleground states.
Every new poll receives intense attention.
This is exactly the moment when voters need reliable information.
Instead, they have learned that fabricated numbers entered the system.
Do Not Stop Looking at Polls
The correct response is not to ignore polling entirely.
Reliable polling remains one of the best tools available for understanding public opinion.
Without surveys, political analysis would rely even more heavily on rallies, social-media engagement and anecdotal impressions—all of which can be extremely misleading.
The solution is better polling literacy.
Look at averages.
Look at methodology.
Look at the pollster.
Look at the sponsor.
Look at field dates.
Look at sample sizes.
And maintain appropriate uncertainty.
The Best Poll Is Still the Election
Ultimately, every pre-election survey is an estimate.
The actual result comes from ballots.
That fact becomes especially important in close races.
A candidate leading by two points is not guaranteed victory.
A candidate trailing by three is not doomed.
Polling can help us understand the battlefield.
It cannot determine the winner.
Only voters can do that.
Wedgewood Exposed a Real Vulnerability — But at a Real Cost
The polling organization’s defenders could argue that its experiment succeeded.
It demonstrated that fabricated data could penetrate the political information ecosystem.
Major organizations treated the firm as credible.
Its numbers circulated.
Its methodology initially appeared convincing enough to avoid immediate rejection.
That is indeed a serious vulnerability.
But proving that vulnerability by injecting fake information into real elections imposed costs on people who never agreed to participate.
Candidates were affected.
Campaign workers were affected.
Journalists were misled.
Donors may have been influenced.
Voters received false information.
Calling the project an experiment does not erase those consequences.
The Scandal Should Change How Americans Read Political News
The lesson extends beyond polling.
Professional-looking information should not automatically receive trust.
A polished website is not proof.
A viral graphic is not proof.
Thousands of reposts are not proof.
A famous account sharing something is not proof.
In the modern information environment, source verification matters more than appearance.
That is increasingly true for polling, political video, photographs and breaking news.
November 3 Will Reveal Which Pollsters Were Closest
Soon the speculation ends.
Votes will be counted.
Forecasts will be tested.
Polling averages will be compared with actual outcomes.
Some organizations will perform well.
Others will miss.
Analysts will spend months studying why.
But Wedgewood will be judged differently.
A legitimate pollster can miss an election and still have conducted genuine research.
A fabricated poll has no legitimate margin of error because there was never a legitimate survey to begin with.
That distinction should remain clear.
Americans Deserve Better Than Manufactured Numbers
Election polling carries influence.
With that influence comes responsibility.
Candidates can lose donors because of polls.
Volunteers can lose motivation.
Markets can move.
News coverage can change.
Voters can form opinions about whether a candidate is viable.
Organizations publishing political surveys therefore have an obligation to be transparent about how those numbers were produced.
The Wedgewood scandal demonstrates what happens when that trust is exploited.
It also demonstrates how rapidly false information can become legitimate-looking political data.
The immediate task for polling aggregators and news organizations is obvious:
Verification has to become stronger.
The task for voters is equally important:
Do not confuse skepticism with cynicism.
Question the source.
Examine the evidence.
Compare multiple reputable surveys.
And remember that a poll is never the election itself.
America is entering the final days of one of the most consequential midterm elections in years.
Republicans are fighting to preserve control of Congress.
Democrats are attempting to take it away.
Millions of ballots are already being cast.
At precisely the moment voters are searching for clues about what will happen, the country has learned that some of the numbers circulating through the political system were never real at all.
That should not make Americans abandon polling.
It should make them much more careful about which polls they trust.