Every investing story you hear has survivorship bias

What survivorship bias is

It is what happens when you draw conclusions from the things that made it through a filter, without accounting for what the filter removed.

In investing, the filter is attention. Success is loud. Failure is quiet, and often actively hidden, because nobody posts about the position that went to zero.

The result is that your intuition about what is achievable is built almost entirely from the surviving sample.

Where it shows up

The friend who made money trading

You hear about the trade that worked. You do not hear about the four that did not, from the same person, or from anyone else in their circle who quietly stopped.

This is where actual data is worth more than any anecdote. SEBI found 65% to 71% of individual intraday traders lost money each year from FY20 to FY24, and 91% of derivatives traders lost money in FY25. The stories you hear are drawn from the other tail.

The stock that became a multibagger

Lists of companies that returned a hundred times over twenty years are compiled looking backwards. The list of companies that looked similar at the start and no longer exist is not compiled at all, because there is no reason to.

The relevant question is never how many multibaggers existed. It is what proportion of companies that looked promising at the time became one.

Fund performance tables

Funds that perform badly are sometimes merged into other schemes or wound up. When that happens their record leaves the category average, which quietly lifts the apparent performance of the surviving group.

The finfluencer track record

Screenshots of winning trades are not a record. A record includes the losses, in the same place, without being asked. SEBI has specifically acted against operations relying on selective showcasing of profits.

How to correct for it

• Ask what the base rate is. Not can this work, but how often does it work for people who tried. Where a regulator has counted, use the count.
• Ask who is not in the sample. For any success story, who else tried the same thing and where are they now.
• Prefer complete records over highlights. A record you can only see part of is not a record.
• Notice when the sample selects itself. People who lost money and stopped do not join the group where the stories circulate.
• Keep your own record. Your memory has the same bias. Write down every decision and read it back a year later.

What this is not an argument for

It is not an argument that success is luck, or that nothing works, or that you should not try.

It is an argument for calibrating your expectations against the full sample rather than the visible one. That mostly leads somewhere unremarkable: diversify, keep costs low, invest regularly, do not bet an amount whose loss would matter.

Boring, and drawn from the whole distribution rather than the tail. See investment psychology for the other biases doing similar work.