The Dow dropped 1,000 points and someone went back through the archives to tell you what happened next. Weak the following week. Gains in the month after. Gains three months out. Revolutionary stuff.
This is called pattern recognition. Humans are wired for it. We see faces in toast. We see trading signals in historical data that has exactly zero predictive power.
The sample size here is what, maybe a dozen times the Dow has fallen 1,000 points? That's not a pattern. That's a anecdote with a spreadsheet. But retail traders will read this and think they've unlocked the matrix. They'll buy the dip on day eight. They'll set their calendar reminders for month two. They'll tell their brother-in-law about it at Thanksgiving like they're Warren Buffett.
Here's what actually happens next: anything. The market goes up or it goes down or it moves sideways while you refresh your brokerage app forty times before lunch. The previous times the Dow fell 1,000 points have as much relevance to the next move as your horoscope.
But financial media needs to publish something between the opening and closing bell. Can't just run a headline that says "Stocks Moved, No One Knows Why, Check Back Tomorrow." So they dig through the historical record and find a pattern that sounds authoritative enough to fill six paragraphs.
Every technical analyst knows the dirty secret. The past doesn't predict the future. It just gives you something to point at when a client asks why you're charging them money. You gesture at a chart. You say words like "historical precedent" and "average outcome." You collect your fee.
The Dow will do whatever it wants next week, and the article explaining why it did that is already half-written in someone's drafts folder.
Photo by Brett Jordan on Unsplash
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