As platforms such as Polymarket gain mainstream visibility during U.S. election cycles and major geopolitical events, their prices are increasingly cited as real-time signals of truth. The pitch is seductive: let people put money behind beliefs, and the market will converge on reality faster than polls or pundits. But that promise collapses when a contract creates a financial incentive for someone to change the very outcome it claims to measure.

The problem is not volatility. It is design.

When a forecast becomes a plan

The most extreme example is the assassination market, a contract that pays if a named individual dies by a certain date. Most major platforms do not list anything so explicit. They do not have to. The vulnerability does not require a literal bounty.

It only requires an outcome that a single actor can realistically influence.

Consider a sports-adjacent case: a prop market on whether there will be a pitch invasion during the Super Bowl. A trader takes a large position on “yes,” then runs onto the field. It is not hypothetical. It has happened. That is not a prediction. It is execution.

The same logic extends well beyond sports. Any market that can be resolved by one person taking one action, filing one document, placing one call, triggering one disruption or staging one stunt embeds an incentive to interfere. The contract becomes a script. The trader becomes the author.

In those cases, the platform is not aggregating dispersed information about the world. It is pricing the cost of manipulating it.

Political and event markets carry a higher risk

This vulnerability is not evenly distributed across the prediction universe. It concentrates on thinly traded, event-based or ambiguously resolved contracts. Political and cultural markets are especially exposed because they often hinge on discrete milestones that can be nudged at relatively low cost.

A rumor can be seeded. A minor official can be pressured. A statement can be staged. A chaotic but contained incident can be manufactured. Even when no one follows through, the mere existence of a payout changes incentives.

Retail traders understand this instinctively. They know a market can be correct for the wrong reasons. If participants begin to suspect that outcomes are being engineered, or that thin liquidity allows whales to push prices for narrative effect, the platform stops being a credibility engine and starts looking like a casino with a news overlay.

Trust erodes quietly, then all at once. No serious capital operates in markets where outcomes can be cheaply forced.

“All markets are manipulable” misses the point

The standard defense is that manipulation exists everywhere. Match fixing happens in sports. Insider trading happens in equities. No market is pure.

That confuses possibility with feasibility.

The real question is whether a single participant can realistically manipulate the outcome they are betting on. In professional sports, results depend on dozens of actors under intense scrutiny. Manipulation is possible but costly and distributed.

In a thin event contract tied to a minor trigger, one determined actor may be enough. If the cost of interference is lower than the potential payout, the platform has created a perverse incentive loop.

Discouraging manipulation is not the same as designing against it.

Sports as a structural template

Sports markets are not morally superior. They are structurally harder to corrupt at the individual level. High visibility, layered governance, and complex multi-actor outcomes raise the cost of forcing a result.

That structure should be the template.

It is product integrity

Prediction platforms that want long-term retail trust and eventual institutional respect need a bright-line rule: do not list markets whose outcomes can be cheaply forced by a single participant, and do not list contracts that function as bounties on harm.

If a contract’s payout can reasonably finance the action required to satisfy it, the design is flawed. If resolution depends on ambiguous or easily staged events, the listing should not exist. Engagement metrics are not a substitute for credibility.

The first scandal will define the category

As prediction markets gain visibility in politics and geopolitics, the risks are no longer abstract. The first credible allegation that a contract was based on non-public information, or that an outcome was directly engineered for profit, will not be treated as an isolated incident. It will be framed as proof that these platforms monetize interference with real-world events.

That framing matters. Institutional allocators will not deploy capital into venues where the informational edge may be classified. Skeptical lawmakers will not parse the difference between open-source signal aggregation and private advantage. They will regulate the category as a whole.

The choice is simple. Either platforms impose listing standards that exclude easily enforceable or easily exploitable contracts, or those standards will be imposed externally.

Prediction markets claim to surface the truth. To do that, they must ensure their contracts measure the world rather than reward those who try to rewrite it.

If they fail to draw that line themselves, someone else will draw it for them.

The current Bitcoin (BTC) bear market can be explained by the four-year cycle and long-term BTC holders selling at the $100,000 psychological level, according to Anthony Scaramucci, managing partner of the SkyBridge investment firm.

Bitcoin’s four-year market cycle has been “muted” by institutional investors and inflows from BTC exchange-traded funds (ETFs) that have cushioned volatility, Scaramucci said, but the altered market dynamics have not fully erased BTC’s traditional cycles. He said:

“We’re in a four-year cycle, and there were some traditional whales, some OG’s, that believe in the four-year cycle, and guess what happens in life when you believe in something? You create a self-fulfilling prophecy.”

BTC will continue to see choppy price action for most of the year, until the fourth quarter of 2026, when prices will start to rise again in a new bull market cycle, he said.

Scaramucci said that market participants, including himself, were widely expecting BTC to climb to $150,000 in 2025, driven by US President Donald Trump’s pro-crypto agenda and US regulators warming up to the digital asset industry.

However, the October market crash, which dragged BTC down from an all-time high of about $126,000 to a low of $60,000, completely shattered the widely held consensus.

Markets often move in opposite ways to the prevailing investor sentiment, Scaramucci said, citing Bitcoin’s price action in the early months of 2023, following the November 2022 collapse of the FTX exchange, as an example. 

“It was at a period of great disinterest and great apathy that the bull market started again,” he said, adding that the current BTC bear market is a “garden variety” correction in line with previous downturns.

To be sure, crypto industry executives, analysts, and market participants continue to debate whether Bitcoin’s four-year cycle theory is still valid after BTC ended 2025 in the red or if changing market dynamics have permanently altered how the price of BTC moves. 

Related: Bitcoin price aims to hold $70K amid rising inflation concerns

Could Iran war and geopolitical turmoil bring BTC more pain?

The price of BTC fell below $69,000 on Saturday as the war in Iran entered its third week, jolting risk assets across the board. 

Stock market investors saw the S&P 500 index extend its decline on Friday, dropping by about 1.3%. A day earlier the gauge closed below its 200-day moving average, a key technical indicator closely watched to assess the overall trend of equities markets, for the first time in 10 months.

Some analysts now forecast a potential 50% drop in BTC’s price in 2026 if it continues to exhibit a positive correlation with the S&P 500 index.

Magazine: The debate over Bitcoin’s four-year cycle is over: Benjamin Cowen