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- Anchoring bias is a cognitive bias which means that people rely too heavily on the first piece of information they encounter and use it as a reference point for all later judgments.<\/li>\n<\/ul>\n\n\n\n
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- Anchoring bias is explained by two main psychological mechanisms: confirmatory hypothesis testing and anchoring and adjustment.<\/li>\n<\/ul>\n\n\n\n
<\/p>\n\n\n\n
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- \u201cWas\/now\u201d discounts in retail, salary negotiations, academic grading, and research estimates are some common examples of anchoring bias in everyday life.<\/li>\n<\/ul>\n\n\n\n
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- Although anchoring cannot be fully eliminated, we can reduce its influence on our decisions if we deliberately argue against the anchor and delay the exposure to anchor.<\/li>\n<\/ul>\n\n\n\n
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\n\n\n\nWhat Is Anchoring Bias?<\/h2>\n\n\n
\n![\"what](\"https:\/\/undetectable.ai/blog\/wp-content\/uploads\/2025\/12\/what-is-anchoring-bias-1024x683.jpg\")
<\/picture><\/figure><\/div>\n\n\nAnchoring bias is a thinking mistake that defines how people rely too much on the first piece of information they get when making a decision.<\/p>\n\n\n\n
That first bit of information, which could be an initial number or idea, is called the anchor.\u00a0<\/p>\n\n\n\n
You could say that the anchor becomes a reference point such that all future judgments stay close to it instead of being made from scratch.<\/p>\n\n\n\n
What’s interesting is that anchoring bias affects our decisions even when the reference is wrong, even when we clearly know it’s wrong.<\/p>\n\n\n\n
For example, if you see an item on sale that \u201cused to cost $500\u201d and is now $250, you think of $500 as the baseline, even if that item was never worth that much to begin with.<\/p>\n\n\n\n
Anchoring bias was first introduced by the psychologists Amos Tversky and Daniel Kahneman<\/a>. The duo used a series of deceptively simple experiments that ended up dismantling the myth that humans are rational decision-makers.<\/p>\n\n\n\n
In one of the experiments, they gave the participants 5 seconds to estimate the answer to a math problem.<\/p>\n\n\n\n
Half the participants were given this question: 1 \u00d7 2 \u00d7 3 \u00d7 4 \u00d7 5 \u00d7 6 \u00d7 7 \u00d7 8<\/p>\n\n\n\n
And the other half got this: 8 \u00d7 7 \u00d7 6 \u00d7 5 \u00d7 4 \u00d7 3 \u00d7 2 \u00d7 1<\/p>\n\n\n\n
It turned out the first group’s median estimate was 512 while the second group’s was 2,250. It naturally made the researchers wonder what caused the difference, because the problem was exactly the same, just arranged differently.<\/p>\n\n\n\n
What happened was the difference in starting points. The first group began with small numbers, while the second group saw larger ones.<\/p>\n\n\n\n
Once an anchor was established from the first few numbers, the brain adjusted close enough.<\/p>\n\n\n\n
The experiments were replicated time and again, across different cultures, age groups, levels of expertise, occupations, etc, but it predicted judgements in similar ways.<\/p>\n\n\n\n
Why Anchoring Bias Matters<\/h2>\n\n\n\n
The most immediate consequence of anchoring bias is numerical distortion as your values gravitate toward initial values.<\/p>\n\n\n\n
The effect persists even when the anchor is:<\/p>\n\n\n\n
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- Random<\/li>\n\n\n\n
- Obviously irrelevant<\/li>\n\n\n\n
- Explicitly described as having no informational content at all<\/li>\n<\/ul>\n\n\n\n
When researchers encounter ambiguous data, prior anchors in the form of previously established theories or benchmarks can affect their interpretation.<\/p>\n\n\n\n
A study on legal decision-making<\/a> found that highly deliberative decisions, such as quantifying damages or setting penalties, are also susceptible to anchoring.<\/p>\n\n\n\n
- Although anchoring cannot be fully eliminated, we can reduce its influence on our decisions if we deliberately argue against the anchor and delay the exposure to anchor.<\/li>\n<\/ul>\n\n\n\n
- \u201cWas\/now\u201d discounts in retail, salary negotiations, academic grading, and research estimates are some common examples of anchoring bias in everyday life.<\/li>\n<\/ul>\n\n\n\n
- Anchoring bias is explained by two main psychological mechanisms: confirmatory hypothesis testing and anchoring and adjustment.<\/li>\n<\/ul>\n\n\n\n
![\"how](\"https:\/\/undetectable.ai/blog\/wp-content\/uploads\/2025\/12\/how-anchoring-bias-works-in-the-brain-1024x683.jpg\")
<\/picture><\/figure><\/div>\n\n\n![\"AI](\"https:\/\/undetectable.ai/blog\/wp-content\/uploads\/2025\/01\/ai-chat-1024x492.jpg\")
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