The DOI matches its Crossref record; 98 of the 104 references it cites were found in a registry or an index.
Social norms and energy conservation
Abstract
This paper evaluates a series of programs run by a company called OPOWER to send Home Energy Report letters to residential utility customers comparing their electricity use to that of their neighbors. Using data from randomized natural field experiments at 600,000 treatment and control households across the United States, I estimate that the average program reduces energy consumption by 2.0%. The program provides additional evidence that non-price interventions can substantially and cost effectively change consumer behavior: the effect is equivalent to that of a short-run electricity price increase of 11 to 20%, and the cost effectiveness compares favorably to that of traditional energy conservation programs. Perhaps because the treatment included descriptive social norms, effects are heterogeneous: households in the highest decile of pre-treatment consumption decrease usage by 6.3%, while consumption by the lowest decile decreases by only 0.3%. A regression discontinuity design shows that different categories of “injunctive norms” played an insignificant role in encouraging relatively low users not to increase usage.
Overview
Integrity signals
Registry
Cites
Statistics
Verification
Claims the paper makes
Claims other papers make about this one
Each is checked against this paper’s own text: does it say what the citing paper says it does?
In the citing paper
“A large meta-analysis found that significant residential energy savings can be achieved [215], by targeting the right interventions to the right households [14,16,17].”
From Tackling climate change with machine learning (2023) · cites this paper as [16]
Citations
Cites
Axelrod, R., & Hamilton, W. D. (1981) · Science · doi:10.1126/science.7466396 · Cited by 20,065
How Much Should We Trust Differences-in-Differences Estimates?
Bertrand, M., Duflo, E., & Mullainathan, S. (2004) · The Quarterly Journal of Economics · doi:10.1162/003355304772839588 · Cited by 10,641
A Theory of the Allocation of Time
Becker, G. S. (1965) · The Economic Journal · doi:10.2307/2228949 · Cited by 10,354
Estimating causal effects of treatments in randomized and nonrandomized studies
Rubin, D. B. (1974) · Journal of Educational Psychology · doi:10.1037/h0037350 · Cited by 9,436 · cited 2×
“Nearly all are within the confidence intervals of the small sample pilots by Schultz et al. (2007) and Nolan et al.”
BackgroundA Simple Model of Herd Behavior
Banerjee, A. V. (1992) · The Quarterly Journal of Economics · doi:10.2307/2118364 · Cited by 6,556 · cited 1×
“[15] Banerjee, Abhijit (1992).”
Cialdini, R. B., Reno, R. R., & Kallgren, C. A. (1990) · Journal of Personality and Social Psychology · doi:10.1037/0022-3514.58.6.1015 · Cited by 5,965 · cited 2×
“[32] Cialdini, Robert, Raymond Reno, and Carl Kallgren (1990).”
BackgroundAkerlof, G., & Kranton, R. (2000) · The Quarterly Journal of Economics · doi:10.1162/003355300554881 · Cited by 5,824 · cited 1×
“[5] Akerlof, George, and Rachel Kranton (2000).”
Recent Developments in the Econometrics of Program Evaluation
Imbens, G. W., & Wooldridge, J. M. (2009) · Journal of Economic Literature · doi:10.1257/jel.47.1.5 · Cited by 4,926
Regression discontinuity designs in economics
Lee, D. S., & Lemieux, T. (2010) · Journal of Economic Literature · doi:10.1257/jel.48.2.281 · Cited by 4,534
Regression discontinuity designs: A guide to practice
Imbens, G. W., & Lemieux, T. (2007) · Journal of Econometrics · doi:10.1016/j.jeconom.2007.05.001 · Cited by 3,701
Research works printed but not linked: 2
- Friedrich, 2009, Saving Energy Cost-Effectively: A National Review of the Cost of Energy Saved through Utility-Sector Energy Efficiency Programs
- Lalonde, 1986, Evaluating the Econometric Evaluations of Training Programs, American Economic Review, 76, 604
Cited by
Sorted by citations
Items 2,201–2,300 of 2,706
Individuals' (re-)action in the face of global warming
Schwirplies, C. (2015) · Kobra (Universitätsbibliothek Kassel)
Mtaki, F., Ganesh, B. E., Raman, P., Sonwalkar, J., Maheshkar, C., Aquil, S., Tahseen, N., Mohanraj, V., & Deepa, N. (2015) · International journal of research in commerce, economics and management
Essays on consumer choices relevant to climate change : stated preference evidence from Germany
Achtnicht, M., & Madlener, R. (2013)
Conditional Cooperation in Students’ Stated Contributions to a Public GoodPreprint
Meyer, A. G., & Yang, G. (2013) · SSRN Electronic Journal · doi:10.2139/ssrn.2252075
Leveraging Pittsburgh's Energy Efficiency Social Network to Predict Next Adopters
Hanus, N., Small, M. J., Wong‐Parodi, G., et al. (2015) · IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining (ASONAM) · doi:10.1145/2808797.2809430
“Results of this study will outline innovative policies for leveraging existing social networks of building owners to enhance the adoption of energy efficient practices.”
BackgroundSavings from Smart Thermostats with Energy DisplaysPreprint
Ramondt, D. (2016) · SSRN Electronic Journal · doi:10.2139/ssrn.2745144
Explaining Differences in Household Electricity Saving Rates
Nishio, K., & Ofuji, K. (2016) · IEEJ Transactions on Power and Energy · doi:10.1541/ieejpes.136.284
Huber, S. (2016) · UWSpace (University of Waterloo)
Alberini, A., Bareit, M., & Filippini, M. (2014) · RePEc: Research Papers in Economics · doi:10.3929/ethz-a-010056839
The role of rational choice in explaining electricity consumption and jury composition
Smith, J. B. (2013) · OpenBU (Boston University)
Barker, S., & Curtis, J. M. (2015)
PAM 3130: BEHAVIORAL ECONOMICS AND PUBLIC POLICY
Homonoff, T. A. (2014)
(1900) · doi:10.2172/1169791
“11 Allcott (2011) shows that a within-subject design using a pre-post comparison of monthly energy use of households receiving energy reports overestimates savings compared to difference-in-differences (D-in-D) estimation using treatment and control group subjects.”
BackgroundDECISION ENVIRONMENTS TO ENCOURAGE MORE SUSTAINABLE INFRASTRUCTURE OUTCOMES
Shealy, E. W. (2015) · TigerPrints (Clemson University)
Enhancing energy efficiency through smart control: paths and policies for deployment
Snape, J. R., & Boait, P. J. (2013) · DMU Open Research Archive (De Montfort University)
What is the Causal Impact of Knowledge on Preferences in Stated Preference StudiesPreprint
Hanley, N. D., & Czajkowski, M. (2016) · RePEc: Research Papers in Economics
What Policies Increase Prosocial Behavior? An Experiment with Referees
Chetty, R., Saez, E., & Sándor, L. (2016)
Feedback and consumption behaviorPreprint
Casal, S., Valle, N. D., Mittone, L., & Soraperra, I. (2016) · RePEc: Research Papers in Economics
Energy-Saving Effects of Home Energy Reports
Matsukawa, I. (2016) · SpringerBriefs in economics · doi:10.1007/978-981-10-1097-2_5
Essays on individuals' responses to climate change and technologies to counteract climate change
Merk, C. (2016) · MACAU: Open Access Repository of Kiel University (University Library Kiel)
Reputation Mechanisms and the Long-Term Consequences of Cooperative Behavior
Sparks, A. M. (2015) · The Atrium (University of Guelph)
Klimaschutzpolitik: Wie kann ein Politikmix gestaltet werden?
Andor, M., Frondel, M., Neuhoff, K., et al. (2016) · List Forum für Wirtschafts- und Finanzpolitik · doi:10.1007/s41025-016-0045-3
“So könnte anhand von randomisierten kontrollierten Experimenten die Wirkung von verhaltensökonomisch motivierten Informationskampagnen untersucht werden (Allcott 2011).”
Examining the Effects of Message Framing and Social Norms on Judgments of Earthquake Legislation
Vinnell, L. J. (2016) · doi:10.26686/wgtn.17019881.v1 · Cited by 1
Exploring efficacy of residential energy efficiency programs in Florida
Taylor, N. W. (2016)
Essays on Water Resource Economics
Brent, D. A. (2014) · ResearchWorks at the University of Washington (University of Washington)
Do Energy Savings Grow on Shade Trees?
Maher, J. (2013) · University Libraries (University of Maryland) · doi:10.13016/m2kv8k
A Theory of Optimal Green Defaults
Meran, G., & Schwarze, R. (2018) · Sustainability · doi:10.3390/su10082902
Three Essays on Cooperation in a Public Good Experiment
Jackman, D. (2016) · Deep Blue (University of Michigan)
Encouraging Energy Efficiancy: Pricing, Education, and Framing
Gill, C. (2017) · Digital Commons - URI (University of Rhode Island) · doi:10.23860/diss-gill-carrie-2017
“One study of realtime pricing finds consumers respond to real-time pricing by reducing demand during peak hours (Allcott 2011). In between flat rate and real-time pricing lie several course variants. Time-of-use (TOU) pricing, peak time rebates (PTR), and critical peak pricing (CPP) are three such schemes that either…”
BackgroundInfluentialZagórska, K. (2016) · Ekonomia. Rynek, Gospodarka, Społeczeństwo · doi:10.17451/eko/44/2016/139
Essays on Environmental and Resource Economics
Toledo, C. (2013) · eScholarship (California Digital Library)
Essays on California's Water Economy
Soldati, H. (2017) · eScholarship (California Digital Library)
Building Policy Packages That Are Acceptable, Credible, and Effective
Fay, M., Hallegatte, S., Vogt-Schilb, A. C., et al. (2015) · World Bank, Washington, DC eBooks · doi:10.1596/978-1-4648-0479-3_ch5
Driving Green Marketing in a Developing Country
Pandey, S., & Chawla, D. (2017) · Practice, progress, and proficiency in sustainability · doi:10.4018/978-1-5225-2912-5.ch006
Multi-objective Cooperative Scheduling for Smart Grids
Salameh, K., Chbeir, R., & Camblong, H. (2017) · Lecture notes in computer science · doi:10.1007/978-3-319-69462-7_34
Essays on issues in climate change policy
Daube, M. (2017) · St Andrews Research Repository (St Andrews Research Repository)
Foster, D. (2017) · Lincoln Repository (University of Lincoln) · doi:10.24385/lincoln.24325801
Three Essays on the Impact of Information on Nonpoint Source Polluters' Behavior
Miao, H. (2017) · Digital Commons - URI (University of Rhode Island) · doi:10.23860/diss-miao-haoran-2017
Vandenbergh, M. P., & Gilligan, J. M. (2017) · Cambridge University Press eBooks · doi:10.1017/9781316848555.007
Empirical essays on consumer engagement and heterogeneity in residential energy demand
Harold, J. (2017) · Arrow@dit (Dublin Institute of Technology) · doi:10.13025/16022
Social Capital and Household Electricity Consumption in Croatia : A Regional Perspective
Borozan, Đ., Radman-Funarić, M., & Starčević, D. P. (2016)
Kurnik, C. W. (1900) · doi:10.2172/1407844
“For example, Pacific Gas and Electric (PG&E) offers a Business Energy Reports Program, which it implemented as an RCT (Seelig 2013).”
BackgroundInfluentialDesigning Networks for Nudges: Using Social Conformity to Optimize Consumer BehaviorPreprint
Wei, Y. “., & Lu, J. (2016) · SSRN Electronic Journal · doi:10.2139/ssrn.2791781
Pastato energinių savybių darnaus valdymo modelis
Mikučionienė, R. (2014) · doi:10.20334/2273-m
Outlook: Can Environmental Product Standards Enable Eco-Innovation?
Roger, A. (2018) · Sustainability and innovation · doi:10.1007/978-3-319-93019-0_5
Varianten des Nudgings? Verhaltenswissenschaften und ihr Einfluss auf politische Instrumente
Loer, K., & Leipold, A. (2018) · Vierteljahrshefte zur Wirtschaftsforschung · doi:10.3790/vjh.87.1.41 · Cited by 1
Corporate Culture as Behavioural Risk Management: The Hurdle of Unshared Knowledge
Nix, J. (2018) · Journal of Business & Economic Policy · doi:10.30845/jbep.v5n3p2
주동현, & Hong, S. (2015) · Locality and Globality Korean Journal of Social Sciences · doi:10.33071/ssricb.39.3.201512.25
Saving energy when others pay the bill
Griffioen, A. M. (2018) · doi:10.18174/458231
A Survey on Household Energy Saving Measures for Last Decade in Western India
Sony, M. (2018) · International Journal of Public and Private Perspectives on Healthcare Culture and the Environment · doi:10.4018/ijppphce.2019010102
“…and Private Perspectives on Healthcare, Culture, and the Environment Volume 3 • Issue 1 • January-June 2019 15 behaviours(Boudet,Flora,&Armel,2016;Gadenne,Sharma,Kerr,&Smith,2011);6)Socialnorms and Household energy-saving behaviour (Allcott, 2011; Frederiks, Stenner, &…”
Ortblad, K. F., Musoke, D. K., Ngabirano, T., et al. (2018) · doi:10.23846/tw2ie84
Souza, M. (2017) · AEA Randomized Controlled Trials · doi:10.1257/rct.2398
Tikotsky, A., Péer, E., & Feldman, Y. (2019) · SSRN Electronic Journal · doi:10.2139/ssrn.3324991
“Governmental agencies could also use social norms (e.g., Allcott, 2011) to promote positive practices such as waste reduction.”
BackgroundExperiments on behaviour and decision making in health
Behrendt, H. (2018) · ERA
Environmental Regulation through Nudges
Ouvrard, B., & Stenger, A. (2019) · doi:10.1002/9781119597490.ch3
Nomura, H. (2018) · Journal of Rural Problems · doi:10.7310/arfe.55.13
“同じ介入が行われても介入への慣れから効果が逓 減することが確認されている(Kerr, Lapinski, Liu, & Zhao, 2017).あるいは,介入がなくなれば効果が期 待できないという指摘がされている(Allcott, 2011). 対処法として,これといった答えはまだ確立され ていない.リバウンドなく効果が持続するか,効果 の持続,効果の上乗せには如何すればよいか,長期 的な検証が必要である. 以上,フィールドにおける RCT…”
Bhanot, S. P., Kraft‐Todd, G., Rand, D. G., & Yoeli, E. (2018) · SSRN Electronic Journal · doi:10.2139/ssrn.3110025
Water conservation: transforming information and attitudes into action
Sigler, V. D. (2018) · Montana State University ScholarWorks (Montana State University)
Primena metode kontrolisanog eksperimenta u analizi ponašanja potrošača električne energije
Filipović, S., & Radovanović, M. (2019) · International Scientific Conference Sinteza · doi:10.15308/sinteza-2019-319-324
“godine [11] pokazao da pružanje informacija o efi kasnim načinima”
BackgroundExploring households' weatherization adoptions: An agent-based approach
Huang, W. (2018) · Iowa State University Digital Repository (Iowa State University)
Social norms and energy conservation beyond the US – A replication
Gerster, A., Andor, M., & Schmidt, J. P. C. M. (2017) · Heading Towards Sustainable Energy Systems: Evolution or Revolution?,15th IAEE European Conference,Sept 3-6, 2017
Nudging Energy Efficiency Audits: Evidence from A Field ExperimentPreprint
Gillingham, K. T., & TSVETANOV, T. G. (2017) · SSRN Electronic Journal · doi:10.2139/ssrn.3027708
Switching on Electricity Demand Response: Evidence for German HouseholdsPreprint
Frondel, M., & Kussel, G. (2016) · SSRN Electronic Journal · doi:10.2139/ssrn.2874844
Mäkivierikko, A. (2019) · KTH Publication Database DiVA (KTH Royal Institute of Technology)
Bruns, H., & Perino, G. (2018) · SSRN Electronic Journal · doi:10.2139/ssrn.3178597
The better-than-average effect drives norm misperceptions
Stöckli, S., Dorn, M., & Messner, C. (2019) · BORIS (University Library Bern) · doi:10.7892/boris.132677
“…(e.g., turning off unnecessary lights) NORM MISPERCEPTIONS AS BETTER-THAN-AVERAGE EFFECT 5 than themselves has led subjects to reduce household energy consumption (Allcott, 2011; Nolan, Schultz, Cialdini, Goldstein, & Griskevicius, 2008; Schultz, Nolan, Cialdini, Goldstein, & Griskevicius, 2007).”
BackgroundEssays in Water Conservation and Water Quality Programs
Baker, J. (2017) · Digital Access to Scholarship at Harvard (DASH) (Harvard University)
Greenest kid on the block : A latent class analysis of social nudges and electricity conservation
Kalén, S. (2019) · KTH Publication Database DiVA (KTH Royal Institute of Technology)
Corporate responses to public pressures and price increases:Evidence from Japan's electricity crisisPreprint
Okajima, H., Okajima, S., & Takeuchi, K. (2019) · RePEc: Research Papers in Economics
Policies to Tame a Wicked Problem
Damania, R., Desbureaux, S., Rodella, A.-S., Russ, J. D., & Zaveri, E. D. (2019) · World Bank, Washington, DC eBooks · doi:10.1596/978-1-4648-1459-4_ch6
Essays at the Intersection of Environmental and Development Economics
Nilekani, J. (2018) · Digital Access to Scholarship at Harvard (DASH) (Harvard University)
Three Essays on Natural Resource Economics, Agricultural Policy, and Food Policy.
Wang, X. (2018) · Research Exchange (Washington State University)
Detection of Appliance Utilization Patterns via Dimensionality Reduction
Villar, F. S., da Silva, L. C. P., Nardelli, P. H. J., et al. (2019) · IEEE PES Innovative Smart Grid Technologies Conference - Latin America (ISGT Latin America) · doi:10.1109/isgt-la.2019.8895285
“With the advancements in Information and Communication Technologies (ICTs), the processing of such a large amount of data has become feasible [1].”
BackgroundEssays in Behavioral and Environmental Economics
Gorenshteyn, D. (2019) · eScholarship (California Digital Library)
EnergyScout: A Consumer Oriented Dashboard for Smart Meter Data AnalyticsPreprint
Ahmed, N., & Mueller, K. D. (2019) · arXiv (Cornell University) · doi:10.48550/arxiv.1911.09284 · Cited by 1
“This phenomenon has been exploited by the successful start-up company OPower, now acquired by Oracle, who used friendly competition among neighbors to lower energy consumption [6].”
BackgroundCan APPealing and More Informative Bills 'Nudge' Individuals into Conserving Electricity?Preprint
Meub, L., Runst, P., & von der Leyen, K. (2019) · SSRN Electronic Journal · doi:10.2139/ssrn.3408019
“Allcott (2011) finds a negative effect on energy consumption of 2% and concludes that the cost-effectiveness compares favorably to that of traditional energy conservation programs. Ayres et al. (2013) also use the Opower home energy reports to examine their effects on the customers of two utilities (170,000 American h…”
BackgroundResultInfluentialJohn, P. C., Blume, T., & Saggar, K. (2020) · Representation · doi:10.1080/00344893.2020.1748701
“…is a relatively recent phenomenon (John, 2018; Thaler, 2015; Thaler & Sunstein, 2009), with most interventions directed to policy outcomes, such as paying taxes (Hallsworth, 2014), settling court fines (Haynes, Green, Gallagher, John, & Torgerson, 2013), and conserving energy (Allcott, 2011).”
BackgroundPerformance Effects of Setting a High Reference Point for Peer-Performance ComparisonPreprint
Eyring, H., & Narayanan, V. G. (2018) · SSRN Electronic Journal · doi:10.2139/ssrn.3102430
Improving Public Acceptance of Carbon Capture and Storage(CCS) in China
Wang, M., Wang, S., Sun, Y., & Li, Y. (2019) · IOP Conference Series Earth and Environmental Science · doi:10.1088/1755-1315/371/3/032071
Essays on Social Dilemmas: Incentives and Institutions
Chatterjee, A. (2022) · Digital Archive @ GSU · doi:10.57709/15009826
A Model of Inequality Aversion and Private Provision of Public Goods
Yokoo, H. (2020) · The B E Journal of Theoretical Economics · doi:10.1515/bejte-2019-0066
“Similarly, various studies demonstrate such positive effects on energy and water conservation (e. g. Allcott 2011; Ferraro and Price 2013; Allcott and Kessler 2019).”
BackgroundInfluentialMattsson, M., & Mobarak, A. M. (2020) · doi:10.23846/dpw1ie116
Romensen, G.-J., & Soetevent, A. R. (2020) · SOM Research Reports
環境に配慮したエネルギー消費行動の変容に係る要因,介入手法,及び介入効果に関する文献レビュー
弥希, 川., 錦織, 聡., & 日髙, 一. (2020) · Medical Entomology and Zoology · doi:10.24778/jjser.41.4_121
Enabling Innovation In The Energy System Transition
Pratt, B. W. (2020) · ScholarWorks -A service of University of Vermont Libraries (University of Vermont)
Elkhalek, A. M. A. A. (2020) · International Journal of Economics and Finance · doi:10.5539/ijef.v12n10p57
“O power estimates that this would result in a reduction of over 450000 tonnes of CO2-emission equivalent to USD 75 million in energy savings across the 15 million homes in the 6 countries they service (Allcott, 2011).”
BackgroundPromoting Electricity Conservation in Singapore
Cecchini, M. (2020) · Springer eBooks · doi:10.1007/978-981-15-6093-4_11-1
Song, K., Anderson, K., & Lee, S. H. (2020) · ASCE Construction Research Congress (CRC) · doi:10.1061/9780784482858.077
How Will Climate Change Affect Water Demand? Evidence from Hawai‘i MicroclimatesPreprint
DeMaagd, N., & Roberts, M. J. (2020) · RePEc: Research Papers in Economics
Bauwens, T., & Eyre, N. (2017) · SSRN Electronic Journal · doi:10.2139/ssrn.2949803
Climate Change Catastrophes and Insuring Decisions: A Study in the Presence of AmbiguityPreprint
le Roux, S. (2017) · SSRN Electronic Journal · doi:10.2139/ssrn.2927451
Dolan, P., & Metcalfe, R. (2013) · London School of Economics and Political Science Research Online (London School of Economics and Political Science)
Measuring the Welfare Effects of Residential Energy Efficiency Programs
Greenstone, M., Allcott, H., Welch, K., & Ali, A. (2017) · AEA Randomized Controlled Trials · doi:10.1257/rct.2176
Self-citationRelative Tax in a Vertically Differentiated Market: The Key Role of Consumers in EnvironmentPreprint
Ceccantoni, G., Tarola, O., & Vergari, C. (2017) · SSRN Electronic Journal · doi:10.2139/ssrn.2972063
Nudging Public Budget Officers: A Field-Based Survey ExperimentPreprint
Kuroki, M., & Sasaki, S. (2021) · SSRN Electronic Journal · doi:10.2139/ssrn.3772202
SOLVING SHORTAGE IN A PRICELESS MARKET: INSIGHTS FROM BLOOD DONATIONPreprint
Sun, T., Lu, S. F., & Jin, G. Z. (2015) · RePEc: Research Papers in Economics
Metadata
- Authors
- Allcott, H.
- Affiliations
- New York University (US)
- Corresponding author
- Allcott, Hunt
- Venue
- Journal of Public Economics
- Publisher
- Elsevier BV
- Published
- 2011-10
- Volume
- 95
- Issue
- 9-10
- Pages
- 1082-1095
- ISSN
- 0047-2727 (ISSN-L)
- OpenAlex
- W2139035425
- Cited by
- 2,802
- References
- 104
- Citations by year
- 2026: 225 · 2025: 209 · 2024: 194 · 2023: 208 · 2022: 226 · 2021: 257 · 2020: 225 · 2019: 240 · 2018: 199 · 2017: 171 · 2016: 165 · 2015: 161 · 2014: 147 · 2013: 94 · 2012: 55
- FWCI
- 263.94
- Type
- journal article
- Language
- en
- Open access
- closed
- Locations
- Journal of Public Economics (publishedVersion)
- Topics
- Physical Sciences › Environmental Science › Management, Monitoring, Policy and Law › Pro-Environmental Behavior and Attitudes
- Physical Sciences › Energy › Renewable Energy, Sustainability and the Environment › Energy, Environment, and Transportation Policies
- Social Sciences › Economics, Econometrics and Finance › Economics and Econometrics › Experimental Behavioral Economics Studies
- Keywords
- social norms, energy conservation, social comparison, residential electricity consumption, cost-effectiveness, injunctive norms, descriptive norms, treatment effect heterogeneity
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Statistics and arithmetic are recomputed, not judged.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
What counts as a claim ›How we measure confidence ›How we check this ›
Are you an author, or do you see a problem with this page? Request a review