You’ve probably seen it.
A headline says:
“Polymarket gives it a 72% chance of happening.”
Or someone posts:
“The market says there’s only a 15% chance.”
But what does that number actually mean?
Is it a prediction?
A bet?
A probability?
A financial market?
And should you believe it?
The answer is a little bit of all of those things—but not exactly any one of them.
Start with a simple example
Imagine a Polymarket question asks:
Will Event X happen by December 31?
You might see:
YES — 35¢
NO — 65¢
Polymarket treats the price of a YES contract as a market-implied probability.
So 35¢ roughly corresponds to a 35% probability.
If you buy a YES contract for 35¢ and the event happens, the contract ultimately pays $1.
If the event doesn’t happen, it becomes worthless.
Polymarket says the contracts are traded between users rather than against a centralized “house.” You can also sell your position before the event is resolved if another trader is willing to buy it.
That’s the basic idea.
But there’s an important catch.
The 35% isn’t an objective probability
This is probably the most important thing to understand.
If Polymarket says:
35%
that doesn’t mean some scientific authority has determined that the event has a 35% chance of happening.
It means traders are currently buying and selling contracts at prices that imply approximately that probability.
Polymarket says its displayed probability is generally derived from the market’s bid-and-ask prices, with the midpoint used when the spread is sufficiently narrow.
So the number is really saying:
“This is what the market is currently pricing the event at.”
That’s different from:
“This is the objectively correct probability.”
And that distinction matters.
Why put money behind a prediction?
Because people have different opinions.
Imagine you think an event has a 60% chance of happening.
But the market is pricing it at 35%.
You might think:
“The market is underestimating the probability.”
You could buy YES contracts.
Someone else has to be willing to take the other side.
If the event happens, your YES contracts eventually pay $1 each.
If it doesn’t, they become worthless.
If the market later moves from 35¢ to 60¢, you may be able to sell your contracts before the event is resolved.
That’s why prediction markets aren’t quite like simply placing a bet and waiting for the final result.
They’re markets in which the contracts themselves can be traded.
Who are you betting against?
This is another difference from a traditional sportsbook.
According to Polymarket, you’re generally trading against other market participants, not against Polymarket itself.
Prices are determined by supply and demand.
Polymarket provides the marketplace rather than taking the opposite side of every trade.
That makes the system look more like a financial exchange than a traditional casino.
But that doesn’t eliminate risk.
You can still lose the money you put into a position.
Why do people think prediction markets can be useful?
There’s actually a long history of research on this.
Economists Justin Wolfers and Eric Zitzewitz reviewed prediction-market research and concluded that market-generated forecasts are often fairly accurate and frequently outperform moderately sophisticated alternative benchmarks.
The basic argument makes intuitive sense.
Suppose 10,000 people have pieces of information about an upcoming event.
One person has followed the polling.
Another understands the economics.
Another has specialized knowledge.
Another has been following the industry closely.
A prediction market gives people an incentive to put their beliefs into a price.
Instead of asking everyone:
“What’s your opinion?”
the market asks:
“How much are you willing to risk on your opinion?”
That can produce useful information.
But the “wisdom of crowds” isn’t quite that simple
Here’s where newer research gets interesting.
A 2026 study discussed by Yale’s School of Management found evidence that prediction-market prices can be driven disproportionately by a relatively small group of skilled traders, rather than simply representing the average opinion of thousands of participants.
That’s actually pretty fascinating.
It means the market’s apparent “wisdom of the crowd” may sometimes be more like:
“The wisdom of a relatively small number of people who know what they’re doing.”
And that isn’t necessarily a bad thing.
If those traders really are better informed, they may improve the market’s accuracy.
But it does mean you shouldn’t assume:
“Millions of people voted, so this must be what everyone thinks.”
Markets don’t work that way.
Prediction markets can also be wrong
This is where some skepticism is healthy.
Research has found that prediction-market accuracy isn’t constant.
One study found that markets were reasonably well calibrated when an event was relatively close, but prices for events farther in the future could show systematic biases.
Another study examining prediction-market errors found that market design itself can significantly affect accuracy.
So when you see:
“There’s a 90% chance this will happen.”
you shouldn’t automatically translate that into:
“This is almost certain.”
You should ask:
What exactly is being predicted?
When does the market resolve?
How liquid is the market?
What are the rules for determining the outcome?
How much money is actually being traded?
Those details matter.
Here’s another subtle problem: the question itself
Suppose a market asks:
“Will Company X announce a product by December 31?”
That sounds simple.
But what counts as an announcement?
A press release?
A CEO mentioning it in an interview?
A social-media post?
A leaked announcement?
The answer depends on the market’s resolution rules.
Polymarket says markets are resolved according to predefined rules, and winning shares receive $1 when the market is finalized. Its markets use an oracle-based resolution process.
That’s why reading the actual question and resolution criteria can be just as important as looking at the percentage.
And then there’s the money
A prediction market isn’t just a polling system.
You’re putting money at risk.
That changes people’s behavior.
Someone might sincerely believe something has a 70% probability of happening.
But if they aren’t willing to risk money on that belief, it’s not necessarily equivalent to someone who actually trades at a price reflecting that belief.
That’s one reason prediction markets can contain useful information.
It’s also one reason they can produce strange behavior.
People have biases.
People get emotional.
People can become attached to particular outcomes.
And people can be wrong.
Putting money behind an opinion doesn’t magically make the opinion correct.
What about fees?
This is another thing a beginner might overlook.
Polymarket currently charges taker fees on certain categories of markets, while makers aren’t charged those fees under its current fee structure. Some geopolitical and world-event markets are fee-free.
So the actual economics of a trade aren’t simply:
“Buy at 40¢, receive $1, make 60¢.”
Fees and the price at which you can actually execute the trade matter.
Is Polymarket gambling?
This is more complicated than the simple answer you may hear online.
Polymarket US operates through QCX LLC, which the Commodity Futures Trading Commission lists as a designated contract market.
The CFTC describes prediction markets as markets where participants buy and sell contracts based on whether specified events occur.
The agency has also been actively examining how prediction markets should be regulated. In March 2026, the CFTC issued an advance notice of proposed rulemaking seeking public comment on prediction markets and the types of event contracts that may be restricted under federal law.
In June 2026, the CFTC proposed additional rules concerning event contracts involving certain activities, including contracts that may involve gaming or other activities specified in federal law.
So the regulatory landscape is still evolving.
For a Senior Life Watchdog reader, the practical point is simple:
Don’t assume that every prediction market is legally or financially identical to every other one.
You don’t have to trade to learn something from Polymarket
This is probably where I think Polymarket becomes particularly interesting for Senior Life Watchdog.
You can look at a prediction market without putting a penny into it.
You can ask:
“Why does the market think there’s only a 25% chance of this happening?”
Then investigate.
Maybe there’s information you hadn’t seen.
Maybe the market is overlooking something.
Maybe the market itself is wrong.
That can turn a prediction market into a starting point for research rather than an instruction for what to believe.
A useful way to read prediction-market numbers
When you see:
72%
don’t read:
“This will happen.”
Read:
“Traders are currently pricing this outcome at roughly 72%.”
That’s a much healthier way to interpret the number.
And remember:
72% still means 28% doesn’t happen.
That’s not a trivial possibility.
Likewise:
10% doesn’t mean impossible.
Events with a 10% probability happen.
The Senior Life Watchdog test
Whenever you encounter a prediction-market number online, ask five questions:
1. What exactly is the question?
Don’t rely on the headline.
2. What does the percentage actually represent?
It’s a market price, not a scientific certainty.
3. When does the market resolve?
A prediction about next week is different from one about five years from now.
4. How liquid is the market?
A thin market may provide less information than a heavily traded one.
5. What evidence exists outside the market?
Look at the underlying facts, research, data, and credible reporting.
That’s the difference between using a prediction market as information and simply following the crowd.
The Senior Life Watchdog takeaway
Polymarket is an interesting example of something increasingly common in the digital world:
people turning uncertainty into numbers.
The number can be useful.
It can aggregate information from people who know something about the subject.
It can change quickly when new information arrives.
And sometimes prediction markets have demonstrated impressive forecasting ability.
But a market price isn’t an oracle.
It is the product of people, information, incentives, money, market design and uncertainty.
So the next time you see:
“Polymarket says there’s a 73% chance…”
don’t simply ask:
“Is 73% right?”
Ask the more interesting question:
“Why does the market think it’s 73%—and what might the market be missing?”
That’s a much better way to think.
Evidence & Source
Evidence: Strong for descriptions of how Polymarket prices, resolves, and charges for its markets (drawn from its own help documentation), how U.S. regulators classify prediction markets, and what published research says about prediction-market accuracy and its limits.
Sources:
- Polymarket Help Center — What is Polymarket?(opens in a new tab)
- Polymarket Help Center — How Are Prices Calculated?(opens in a new tab)
- Polymarket Help Center — How Are Prediction Markets Resolved?(opens in a new tab)
- Polymarket Help Center — Trading Fees(opens in a new tab)
- Commodity Futures Trading Commission — Industry Filings: Designated Contract Markets(opens in a new tab)
- Wolfers & Zitzewitz, “Prediction Markets,” Journal of Economic Perspectives(opens in a new tab)
- Page & Clemen, “Do Prediction Markets Produce Well-Calibrated Probability Forecasts?”(opens in a new tab)
- Strijbis & Arnesen, “Explaining variance in the accuracy of prediction markets”(opens in a new tab)
- CFTC — 2026 Prediction Markets Advance Notice of Proposed Rulemaking(opens in a new tab)
- Yale School of Management — research on skilled traders and prediction-market prices(opens in a new tab)