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Recency Bias in Betting

Recency bias makes the last few results feel like the whole story. Here's how it distorts your betting — and your judgement of tipsters — and how to counter it.

Updated 17 August 2026.

Recency bias is our tendency to give too much weight to what happened most recently, assuming the latest results will continue. In betting it leads people to chase hot streaks, abandon good tipsters after a short dip, and misjudge randomness. This guide explains the bias and how to think in longer horizons, complementing the gambler's fallacy explained.

What recency bias is

We naturally overweight recent events. A tipster who's won this week feels 'in form'; one who's lost feels 'finished' — even when both runs are just normal variance within a much longer record.

The recent past looms large and the long-term picture fades, distorting our decisions.

How it hurts bettors

It drives people to pile onto a 'hot' team or tipster and to quit a good one during a routine losing run — the exact mistake in should you follow a tipster on a losing run?. Both are reactions to a small, recent sample.

It pairs with the gambler's fallacy and chasing losses to produce emotional, short-termist decisions.

Think in large samples

The antidote is to zoom out. Short-term results tell you very little, as why 100 bets isn't enough shows, so judge tipsters and your own betting over hundreds of bets, not the last handful.

Compare any recent run to the tipster's historical worst before reacting to it.

Build long-horizon habits

Keep records that span months, set review points rather than reacting bet-to-bet, and decide in advance how you'll respond to runs. This is the discipline in betting discipline.

Judge services on their full Trust Score, not on how they've done this week.

Frequently asked questions

What is recency bias in betting?

The tendency to overweight the most recent results, assuming they'll continue — so a tipster feels 'in form' or 'finished' based on a short run, ignoring their much longer record.

How does recency bias cost bettors money?

It drives them to chase hot streaks and quit good tipsters during routine losing runs — both reactions to a tiny, recent sample rather than the long-term picture.

How do I counter recency bias?

Zoom out to large samples, judge tipsters and yourself over hundreds of bets rather than the last handful, compare any run to the historical worst, and set review points instead of reacting bet-to-bet.

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