Ostrich Effect
The ostrich effect is the tendency to avoid information you expect will be bad news, even when checking costs nothing and not checking changes nothing. Definition, the 2009 study behind it, and where it shows up in habit tracking.
A trader whose portfolio is falling logs in less often than one whose portfolio is rising — not because there’s less to check, but because there’s more to lose by looking. This is the ostrich effect: avoiding information specifically because you expect it to be bad, not because you don’t care about it.
Karlsson, Loewenstein, and Seppi named and measured this in “The Ostrich Effect: Selective Attention to Information” (Journal of Risk and Uncertainty, 2009). Using Swedish stock market account data, they found investors checked their portfolio values more often on days the market rose than on days it fell. A second dataset, from an online sports betting platform tracking millions of wagers, showed the same pattern in real time: bettors checked the status of an active wager 68% more often when they were winning than when they were losing. Same information, same retrieval cost. What changed was the expected content.
The pattern isn’t limited to money. People skip a scheduled test result they suspect is bad. They avoid the scale during the exact week they’ve been eating badly.
It also explains a small, specific moment familiar to anyone who tracks a habit: not opening the app the day after a streak breaks. The counter is already sitting at zero, unaffected by whether you look. Looking just makes it official. The same avoidance shows up around sleep-tracking data — people stop checking their scores right when the numbers are worst, not when there’s nothing to see.
The information doesn’t improve while you wait. It just sits there, unchanged, while the gap between not-knowing and knowing gets more expensive to close.