https://arxiv.org/abs/2408.07710 close this message arXiv Accessibility Forum 2024 The Accessibility Forum is back! Coming this September, the Forum is free, virtual, and open to all. Sign Up and Learn more. Sign Up Skip to main content Cornell University Grab your spot at the free arXiv Accessibility Forum Forum Schedule We gratefully acknowledge support from the Simons Foundation, member institutions, and all contributors. Donate arxiv logo > econ > arXiv:2408.07710 [ ] Help | Advanced Search [All fields ] Search arXiv logo Cornell University Logo [ ] GO quick links * Login * Help Pages * About Economics > General Economics arXiv:2408.07710 (econ) [Submitted on 13 Aug 2024] Title:Uniqueness Bias: Why It Matters, How to Curb It Authors:Bent Flyvbjerg, Alexander Budzier, M. D. Christodoulou, M. Zottoli View a PDF of the paper titled Uniqueness Bias: Why It Matters, How to Curb It, by Bent Flyvbjerg and 3 other authors View PDF Abstract:The paper explores "uniqueness bias," a behavioral bias defined as the tendency of planners and managers to see their decisions as singular. For the first time, uniqueness bias is correlated with forecasting accuracy and performance in real-world project investment decisions. We problematize the conventional framing of projects as unique and hypothesize that it leads to poor project performance. We test the thesis for a sample of 219 projects and find that perceived uniqueness is indeed highly statistically significantly associated with underperformance. Finally, we identify how decision makers can mitigate uniqueness bias in their projects through what Daniel Kahneman aptly called "decision hygiene," specifically reference class forecasting, premortems, similarity-based forecasting, and noise audits. Comments: 30 pages Subjects: General Economics (econ.GN) Cite as: arXiv:2408.07710 [econ.GN] (or arXiv:2408.07710v1 [econ.GN] for this version) https://doi.org/10.48550/arXiv.2408.07710 Focus to learn more arXiv-issued DOI via DataCite Submission history From: Alexander Budzier [view email] [v1] Tue, 13 Aug 2024 18:29:47 UTC (764 KB) Full-text links: Access Paper: View a PDF of the paper titled Uniqueness Bias: Why It Matters, How to Curb It, by Bent Flyvbjerg and 3 other authors * View PDF * Other Formats license icon view license Current browse context: econ.GN < prev | next > new | recent | 2024-08 Change to browse by: econ q-fin q-fin.EC References & Citations * NASA ADS * Google Scholar * Semantic Scholar a export BibTeX citation Loading... BibTeX formatted citation x [loading... ] Data provided by: Bookmark BibSonomy logo Reddit logo (*) Bibliographic Tools Bibliographic and Citation Tools [ ] Bibliographic Explorer Toggle Bibliographic Explorer (What is the Explorer?) [ ] Litmaps Toggle Litmaps (What is Litmaps?) [ ] scite.ai Toggle scite Smart Citations (What are Smart Citations?) ( ) Code, Data, Media Code, Data and Media Associated with this Article [ ] Links to Code Toggle CatalyzeX Code Finder for Papers (What is CatalyzeX?) [ ] DagsHub Toggle DagsHub (What is DagsHub?) [ ] GotitPub Toggle Gotit.pub (What is GotitPub?) [ ] Links to Code Toggle Papers with Code (What is Papers with Code?) [ ] ScienceCast Toggle ScienceCast (What is ScienceCast?) ( ) Demos Demos [ ] Replicate Toggle Replicate (What is Replicate?) [ ] Spaces Toggle Hugging Face Spaces (What is Spaces?) [ ] Spaces Toggle TXYZ.AI (What is TXYZ.AI?) ( ) Related Papers Recommenders and Search Tools [ ] Link to Influence Flower Influence Flower (What are Influence Flowers?) [ ] Connected Papers Toggle Connected Papers (What is Connected Papers?) [ ] Core recommender toggle CORE Recommender (What is CORE?) * Author * Venue * Institution * Topic ( ) About arXivLabs arXivLabs: experimental projects with community collaborators arXivLabs is a framework that allows collaborators to develop and share new arXiv features directly on our website. Both individuals and organizations that work with arXivLabs have embraced and accepted our values of openness, community, excellence, and user data privacy. arXiv is committed to these values and only works with partners that adhere to them. Have an idea for a project that will add value for arXiv's community? Learn more about arXivLabs. Which authors of this paper are endorsers? | Disable MathJax (What is MathJax?) * About * Help * Click here to contact arXiv Contact * Click here to subscribe Subscribe * Copyright * Privacy Policy * Web Accessibility Assistance * arXiv Operational Status Get status notifications via email or slack