Spot the lucky one: can you tell skill from luck in two years of returns?
A game: four investors over the same two years, one with a real edge and three with none. Pick the one with the edge, then see how hard it was, by the same skill check Luck Filter runs on a real record.
Updated Nov 1, 2026
Round 1 of 10
Spotted 0 of 0
One of these four had a real edge for two years. The other three had none. Which one?
The dashed line is the market over the same two years. It finished −8%.
Why is the real edge so hard to spot?
Because two years of daily ups and downs are louder than a modest edge. Each investor here takes the market's moves and swings of their own of about 14% a year. An edge of 8% a year adds up to about 16% over two years, while luck alone moves a no-skill investor up or down by about 20% over the same time. So the one with the edge often does not finish first, and a lucky one often does.
How were these investors made?
From a made-up market, with fixed seeds so every visitor plays the same rounds. All four investors in a round move with the market one for one (a beta of 1) and have the same size of day-to-day noise; one also gets a real edge, between 5% and 25% a year. After a pick, the page shows each investor's alpha (the yearly return left over once the market's moves are taken out) and t-stat, and, for the one with the edge, its p-value and whether the edge showed. All of them come from the same skill check Luck Filter runs on a real record, measured against that market. Notice the alphas of the investors with no edge: luck alone makes some of them look ahead.
What does this say about a real record?
That a good stretch on its own proves little, and a modest real edge can take many years to stand out. That is why the skill check asks how easily luck could have produced a result, and how much more data it would take to tell. It describes the past; it never predicts what comes next.
See these numbers on a real record
The demo dashboard runs the same maths on a sample account. Nothing to connect.
Educational analysis of past data. Not investment advice.