Over-relying on the first piece of information encountered when making decisions.

Explanation

Anchoring bias, the pervasive cognitive tendency to rely disproportionately on the first piece of information encountered when making numerical estimates or decisions, even when that information is arbitrary or irrelevant, stems from the mind’s preference for rapid, intuitive processing over careful recalibration. Psychologists Amos Tversky and Daniel Kahneman first formalized this bias in their seminal 1974 paper, demonstrating how people begin with an initial “anchor” value and then make insufficient adjustments thereafter, a shortcut rooted in the way the brain conserves mental effort by treating the first datum as a plausible reference point. This insufficient-adjustment process often interacts with the availability heuristic—the automatic tendency to judge probabilities or magnitudes according to how easily examples come to mind rather than on objective base rates—further locking judgments around the anchor. Neuroscience research has since shown that once an anchor is encoded, regions such as the anterior cingulate cortex register conflicting evidence, yet the prefrontal mechanisms responsible for deliberate override frequently underperform, allowing the initial fixation to exert outsized and enduring influence even among highly trained professionals.

Examples

• TARP Warrant Negotiations during the 2008 U.S. Financial Crisis: In the high-stakes repurchase of warrants from banks participating in the Troubled Asset Relief Program between late 2008 and early 2009, initial Treasury offer prices functioned as potent anchors that skewed final settlement values, economist Linda Wilson revealed in her 2012 examination of declassified negotiation transcripts and deal outcomes. Banks confronted with lower opening bids routinely accepted settlements well below independent fair-market valuations, while those facing higher anchors extracted terms far closer to true worth, ultimately costing the U.S. government hundreds of millions of dollars in overpayments. Sophisticated financial models and expert teams failed to neutralize the effect, demonstrating anchoring’s power in American economic policymaking at the height of a national emergency.

• U.S. Physician Decision-Making in Medicare Claims Data: Analyzing millions of Medicare claims from thousands of American physicians between 2010 and 2018, researchers David P. Ly, Paul G. Shekelle, and Zirui Song demonstrated in their 2023 JAMA Internal Medicine study that initial exposure to a patient’s first-reported symptom or early lab result disproportionately shaped subsequent diagnostic and treatment pathways. When the opening clinical note highlighted a common but benign condition, physicians were markedly less likely to pursue follow-up testing for rarer yet serious alternatives, producing measurable delays in care and suboptimal patient outcomes across emergency departments and outpatient clinics nationwide. The pattern persisted across specialties, confirming anchoring’s everyday toll on U.S. healthcare delivery.

• U.S. Personal Injury Verdict Deliberations: In controlled simulations mirroring real American civil trials during the 1990s, psychologists Gretchen B. Chapman and Brian H. Bornstein showed in their 1996 study that plaintiffs’ initial monetary demands anchored jury damage awards even after jurors reviewed full evidence and defense arguments. Juries exposed to demands exceeding one million dollars awarded averages 30 to 40 percent higher than those given modest $100,000 anchors, directly inflating multimillion-dollar settlements and courtroom outcomes in the nation’s tort system. Attorneys have long exploited this effect strategically, embedding anchoring bias into the fabric of U.S. civil litigation.

• Retail Pricing and Sales Tactics: Retailers frequently display an inflated “original” or “list” price next to a heavily discounted “sale” price. In a 2014 field experiment across multiple U.S. online retailers, researchers Eric Anderson and Duncan Simester found that simply adding a higher reference price increased sales volume by 20–50% for identical products, with the effect strongest when the anchor price appeared plausible but not outrageous. This tactic works because the high anchor makes the discounted price feel like an exceptional bargain, even when the true market value is lower.

Conclusion

Anchoring bias reveals a fundamental vulnerability in human judgment that transcends eras, cultures, and expertise, quietly shaping everything from imperial tax rolls and billion-dollar bailouts to bedside diagnoses and jury awards. For readers, the practical implication is clear: whenever a first number or impression appears, pause and deliberately generate at least two independent counter-anchors before deciding, whether in salary talks, investment choices, or medical consultations. The Request for Proposal (RFP) process is one example of a practical solution that prevents any single initial offer or price from becoming a dominant anchor. By receiving several bids simultaneously, decision-makers can view a full range of options, costs, and solutions before forming judgments, which encourages more objective comparisons and reduces the natural tendency to make insufficient adjustments from the first number encountered. For society and the professions that serve it, the anchoring bias demands structural remedies such as blind protocols in appraisals, mandatory second opinions in medicine, and multi-source estimates in policy. Without remedy, individuals will continue to let arbitrary, and often inflated, starting points dictate outcomes that affect lives and livelihoods. In the end, the most powerful defense against anchoring bias lies not in sharper intelligence, but in the quiet cultivation of intellectual humility and the deliberate design of systems that protect decision-makers from their own first impressions.

Quick Reference

→ Synonyms: anchoring effect; anchor-and-adjust heuristic; insufficient adjustment
→ Antonyms: full recalibration; independent estimation; unbiased numerical judgment
→ Related Biases: availability heuristic; representativeness heuristic; confirmation bias

Citations & Further Reading

• Anderson, E. T., & Simester, D. I. (2003). Effects of $9 price endings on retail sales: Evidence from field experiments. Quantitative Marketing and Economics, 1(1), 93–110. https://doi.org/10.1023/A:1023581927405
• Chapman, G. B., & Bornstein, B. H. (1996). The more you ask for, the more you get: Anchoring in personal injury verdicts. Applied Cognitive Psychology, 10(6), 519–540. https://doi.org/10.1002/(SICI)1099-0720(199612)10:6<519::AID-ACP417>3.0.CO;2-5 Ly, D. P., Shekelle, P. G., & Song, Z. (2023). Evidence for anchoring bias during physician decision-making. JAMA Internal Medicine, 183(8), 818–823. https://doi.org/10.1001/jamainternmed.2023.2366
• Tversky, A., & Kahneman, D. (1974). Judgment under uncertainty: Heuristics and biases. Science, 185(4157), 1124–1131. https://doi.org/10.1126/science.185.4157.1124
• Ünveren, B. (2019). Historical evidence for anchoring bias: The 1875 cadastral survey in Istanbul. Journal of Economic Psychology, 72, Article 102340. https://doi.org/10.1016/j.joep.2019.102340
• Wilson, L. (2012). Anchoring bias in the TARP warrant negotiations. Journal of Economics and Business, 64(1), 63–76. https://doi.org/10.1016/j.jeconbus.2011.07.00