Not a prediction market, but a 250-year-old debate

It’s striking to see that much of what’s marketed today as a prediction market is actually the modern version of debates that took place 250 years ago. Because in insurance’s history the answer to this question was given long ago; now it just comes before us in new packaging.

Noticing this resemblance also reminds us how deep-rooted a discipline insurance really is. Many financial debates that look very new today are nothing but the questions insurance faced centuries ago. So looking at history is not nostalgia; it’s a kind of early-warning system.

1774: the line separating gambling from insurance

When Lloyd’s underwriters in the 1750s drifted away from real marine insurance toward pure speculation on people’s lives and deaths, the British Parliament passed the Life Assurance Act in 1774. The aim was clear: to stop predictions with no economic interest from rotting the financial system, and to bring discipline and trust back to the markets. With this law one of insurance’s core principles was born: insurable interest. That is, you can insure something only if you’d genuinely be affected by its harm.

This principle is the line that separates insurance from gambling. In gambling, risk is created out of nothing; in insurance, an already-existing risk is transferred. This distinction, at the foundation of the financial system for 250 years, is no accident; it’s a lesson drawn from a crisis.

It’s illuminating to think about insurable interest with a concrete example. You can insure your own house against fire, because if that house burns you’re genuinely harmed. But you can’t take out a policy to bet on a stranger’s house burning; because there you’re not transferring a risk, you’re creating one out of nothing. That’s exactly the line 1774 drew: the difference between protecting yourself and placing a bet.

That history repeats this clearly actually shows human nature hasn’t changed. The desire to win against uncertainty returns in each age in a new guise; once in the coffeehouses of Lloyd’s, today in mobile apps. The only thing that changes is the technology surrounding that desire and the speed it creates. Yet the underlying question is always the same: is this protection, or a bet?

Today’s prediction markets

Today’s prediction markets, like Polymarket and Kalshi, put the same question before us again. On one side collective intelligence, real-time sentiment data and a modern probability literacy; on the other a dopamine culture, financial nihilism and the complete erasure of the line between investment and gambling. Just as in the 1750s, the boundary between economic interest and pure speculation is blurring again.

What’s more, the real big game may be on the unseen side. Aggregated human predictions can turn into a vast alternative data source flowing to hedge funds. So the loser is not only the individual investor; what’s lost is competition built on information asymmetry. Those who play the game can be on one side, and those who collect data from that game and win on another.

To be fair, prediction markets have a real value too. By gathering scattered information into a single price, they can sometimes produce more accurate signals about an event’s probability than surveys and experts. This power of collective intelligence can’t be denied. The problem isn’t the mechanism itself; it’s whether it’s set up as a tool of information or as a gambling table.

Insurance’s lesson

The most interesting part is that insurance has already lived this debate and produced an answer. The principle of insurable interest is precisely an institutional answer to the question of whether this is protection or a bet. So in looking at today’s prediction markets, we need to see that the issue is not technology or interface; the issue is which side the incentives are on. If economic interest, transparency and discipline are protected, these mechanisms can produce value; if not, they turn into a more elegantly designed casino.

If history teaches us anything, it’s this: the roots of everything that looks new often reach much further back. History doesn’t repeat exactly; it just returns with a better user experience. And the lesson insurance learned 250 years ago still holds: what makes a financial mechanism valuable is not how new it looks, but which incentives it’s built on.