Recency Bias

Thinking Traps Explained - Part 7

Being humans, we often fool ourselves, both in business and in our personal lives. If we are aware of thinking traps, we are less likely to fall into them.

One thinking trap is the "Recency Bias".


Recency Bias - Definition

We overvalue recent events or data, ignoring other important data or past events.


Recency Bias

Recency Bias - Examples

📢 1. Marketing: Marketers can overinvest in channels that recently produced a viral success. For example, after a TikTok campaign goes viral, a company might shift most of its ad budget there, ignoring long-term ROI data from other, more stable channels.

🧯 2. Risk Perception After an Incident: After a safety incident, managers improve safety on Site A, ignoring similar risks on Site B.

💹 3. Investment Decisions: Investors pour money into sectors that recently performed well (e.g., tech or AI stocks). This fuels bubbles as people assume recent trends represent future performance.

📈 4. Strategic Planning: Leaders overemphasize recent events, such as assuming current low costs will continue, leading inaccurate forecasts.


Recency Bias
Recency Bias
Recency Bias
Recency Bias

Recency Bias - Questions to Ask

🤔 Am I making this decision based on data and long-term trends, or because a recent event is still vivid in my mind?

📰 Have recent headlines or viral stories made me overestimate the importance of one issue or risk?

📉 Would my judgement be different if I hadn’t recently seen or heard about a similar success or failure?

💼 Have I verified whether the “recent pattern” I’m noticing is statistically significant or just a coincidence?

🧠 Am I overreacting to a crisis or complaint because it’s emotionally vivid, rather than representative of broader trends?

⏳ Am I ignoring older but still relevant data just because it’s less fresh or harder to recall?