Should You Invest in Prediction Markets?

The Dispatch · collected 2026-09-11 · by Kyla Scanlon
Read the original at The Dispatch ↗

Summary

Karl Smith from Kalshi, a federally licensed exchange, is used in prediction markets offered by various brokerage apps such as Robinhood and Webull. The article argues that investing in these markets is not a good idea because it's essentially betting, with no underlying value or earnings producing mechanism. A single $10 investment could lose money due to fees of 35 cents per contract, which can add up quickly if repeated multiple times.
Written by the local model on 2026-09-11, using this article's own text rather than the other coverage of the same event (that is the story summary below).

Signals How these are calculated →

Claims extracted
123
claim-shaped sentences
Uncertain
7%
8 of 123 hedged
Leaning
Leans left
of the writing, not the subject
Publisher trust
96.5
red-flag proxy, not a credibility rating
Outlets on this story
2
Other
Narrative spread
1
articles carrying this framing
Analyzed 2026-09-11 · how these are computed

AI analysis (generated at analysis time, not now)

Story summary

Prediction markets have become increasingly popular in the US, with companies like Kalshi offering federally licensed exchanges where users can bet on various outcomes. George Santos, a former congressman from New York, was banned from Kalshi after being accused of insider trading and forced to pay back over $17,000 in winnings and $80,000 in fines. He had placed a bet on himself not attending the State of the Union address, which he conveniently did not attend. Kalshi also offers interest on idle cash for users who leave their money in the app. While prediction markets are federally legal because they're considered financial exchange services, individual states have different laws regarding sports-adjacent services like FanDuel's Sportsbook, which is currently illegal in California and Massachusetts.

Written for “Prediction Market Boom” on 2026-09-12, grounded in this article and the 1 other(s) covering the same event.
Why this leaning score
The article's own words the score was based on. Each is quoted verbatim and was checked against the article text before being stored, so you can find it in the original.
Score -0.60 Confidence high
Leaning score -0.60 for article 7932 (high confidence, 2 verified quotes) · logged 2026-09-11

Story

📰 Prediction Market Boom
Other · 2 article(s) covering the same event. This is the one the site leads with.

How this is being covered How these are calculated →

Article leaning vs. publisher reliability
Source leaning vs. consistency

Compared with similar articles

This article reads leans left and hedges 7% of its claims. Each row says how that neighbour differs.
The Guardian
⚖️ Leans left 🔴 7% hedged 4 of 58 📰 publisher trust 60
“Both articles mention Kalshi banning George Santos and his forced payout of winnings”

Publisher

The Dispatch · 94 article(s) · 0 correction(s) detected
No corrections detected for this publisher. That may mean careful reporting, or simply that nothing has been checked.

Who wrote this

Kyla Scanlon
1 article(s) here · 1 carrying a prediction
🔮 If you open up your brokerage app, you will likely see them: Robinhood has a prediction markets hub, and so do Coinbase, Webull, Interactive Brokers, and Tastytrade.
2026-09-11 · assertive framing · Should You Invest in Prediction Markets?
The only article under this byline in the corpus.

Topics

Coinbase Dispatch Markets Kalshi Robinhood the Kansas City Chiefs

Subjects

Kalshi ORG · 5× the Kansas City Chiefs ORG · 2× Adam Ozimek PERSON · 1× Coinbase ORG · 1× Dispatch Markets ORG · 1× Karl Smith PERSON · 1× Kyla Scanlon PERSON · 1× Marian Tupy PERSON · 1× Robinhood ORG · 1× Scott Lincicome PERSON · 1×

Narrative

It makes Folgers, Dunkin coffee, Jif peanut butter, Smucker’s jellies and jams, Hostess treats, Milk-Bone, and Meow Mix, but its biggest growth story is a frozen peanut butter sandwich with the crust off. J.M. Smucker reported last month that Uncrustables grew sales 12 percent from a year earlier.
framing: assertive · carried by 1 article(s) · first seen 2026-09-11
🔮 If you open up your brokerage app, you will likely see them: Robinhood has a prediction markets hub, and so do Coinbase, Webull, Interactive Brokers, and Tastytrade.
2026-09-11 · The Dispatch
Should You Invest in Prediction Markets? · assertive framing

Claims (123 extracted, 8 hedged)

You’re reading Dispatch Markets, a weekly dive into the forces driving economic growth—and those holding it back—featuring Scott Lincicome, Kyla Scanlon, Karl Smith, Marian Tupy, and Adam Ozimek. asserted
You → read → Lincicome
If you open up your brokerage app, you will likely see them: Robinhood has a prediction markets hub, and so do Coinbase, Webull, Interactive Brokers, and Tastytrade. asserted
Coinbase → open → hub
Many of those trades done on the apps flow to Kalshi, a federally licensed exchange that now pays interest on idle cash that users have in the app, like a brokerage would. asserted
brokerage → do → app
The message is pretty clear: Prediction markets are a new kind of investment, and you should jump in if you want to make a lot of money. asserted
you → jump → money
When you buy a stock, you own a small piece of a company. asserted
you → buy → company
Think of it like an apple—every slice of the apple is a share that you buy to own. asserted
you → think → that
The company makes things, sells them to people, earns money in doing so, and eventually, some of that money comes back to you in the form of dividends or a higher price when you sell the stock. asserted
you → make → stock
When you buy a bond, you are lending money to some entity, maybe the U.S. government or Amazon, and getting paid interest in return. asserted
you → buy → return
With both shares and bonds, there are underlying fundamentals that produce value over time. asserted
that → be → time
But an event contract, which is what prediction markets trade, has nothing underneath it that produces value over time. asserted
that → trade → time
It’s a binary. asserted
It → ’ → ?
Say you think the Kansas City Chiefs will win Sunday and someone else thinks that they won’t. asserted
they → say → ?
The contract pays $1 to whoever is right and $0 to whoever is wrong. asserted
whoever → pay → 1
It’s just taking money from one person and giving it to another, with the exchange taking a cut for arranging that transaction. asserted
exchange → take → transaction
On Kalshi, the fee is 3.5 cents for every dollar the buyer puts in on a 50-cent contract, with proportionally higher fees for long shots. asserted
buyer → put → shots
Say you put $10 on the Kansas City Chiefs and the market has the game as a coin flip (other traders decide the odds here, not Kalshi). asserted
traders → say → odds
A contract will pay $1 if they win and costs you 50 cents. asserted
they → pay → cents
Your $10 buys 20 contracts. asserted
10 → buy → contracts
Kalshi’s fee is 7 percent of the contract price times the chance of losing on every contract—so 20 x $0.50 x 0.50 x 0.07, which comes to 35 cents. asserted
which → lose → cents
So $10.35 leaves your account: $10 for the contracts and 35 cents for Kalshi. asserted
10.35 → leave → Kalshi
If the Chiefs win, each contract pays $1, and you collect $20. asserted
you → win → 20
That’s a profit of $9.65 after the fee. asserted
That → ’ → fee
If they lose, you collect nothing and are out $10.35. asserted
you → lose → nothing
Say it is a coin flip, and you win 50 of them, collecting $20 each. asserted
you → say → 20
You get $1,000, but you paid $1,035. asserted
you → get → 1,035
Even if you’re right exactly as often as the odds say, you lose. asserted
you → ’re → ?
Get the U.S. Chamber’s free newsletter for insights on the economic policy, workforce trends, and regulatory landscape that affect businesses and markets. asserted
that → get → businesses
By subscribing you agree to receive communications from the U.S. Chamber of Commerce. asserted
you → subscribe → Commerce
Michael Mauboussin, the head of consilient research at Morgan Stanley Investment Management, has a test for asking whether something requires skill: Can someone lose on purpose? asserted
someone → have → purpose
A chess master can lose whenever he or she wants. asserted
he → lose → ?
But a roulette player cannot lose on purpose because the wheel spins due to physics. asserted
wheel → lose → physics
Mauboussin found that investing sits closer to the luck end of the scale than most people think. asserted
people → find → scale
Picking a stock is closer to a slot machine than most people think, but a stock held long enough is expected to pay you, whereas a slot machine is expected to rob you. asserted
machine → pick → you
For a person clicking buy, a prediction market behaves like a slot machine. asserted
market → click → machine
In the example above, it’s truly a coin flip. asserted
it → ’ → example
And a coin-flip example is the best case here, as ordinary users tend to do a lot worse. asserted
users → tend → ?
A team of economists led by Karl Whelan of University College Dublin studied more than 300,000 Kalshi contracts using data through early 2025 and found that long shots are overpriced. asserted
shots → lead → 2025
Contracts costing under 10 cents lose more than half of the money that people put into them. asserted
people → cost → them
They also found that people who post offers on the website lose about 10 percent on average across all contracts, whereas people clicking to accept the offer lose almost 32 percent, with the worst of it on long shots. asserted
people → find → shots
The Wall Street Journal looked at 1.6 million accounts on Polymarket, Kalshi’s main rival, and found that 67 percent of all the profit on the platform went to 0.1 percent of accounts. asserted
percent → look → accounts
…and 83 more, not listed.
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