Brandolini's law

Brandolini's law (also known as the bullshit asymmetry principle) is an Internet adage coined in 2013 by Italian programmer Alberto Brandolini. It expresses the observation that disproving false or misleading information typically requires significantly more effort than producing it. The adage states:

The amount of energy needed to refute bullshit is an order of magnitude bigger than that needed to produce it.[1][2]

Origins

The principle was formulated in January 2013 by Alberto Brandolini, who posted it on social media.[3] Brandolini later explained that he was influenced by reading Daniel Kahneman’s Thinking, Fast and Slow and by a televised debate between former Prime Minister Silvio Berlusconi and journalist Marco Travaglio.[4]

Examples

The principle has been cited in connection with persistent health misinformation, social media rumors, and pseudoscientific claims.

One frequently referenced example is the false assertion that vaccines cause autism, originating with the fraudulent 1998 study by Andrew Wakefield. Although the paper was retracted and Wakefield lost his medical license, the claim has continued to circulate, contributing to vaccine hesitancy and requiring extensive efforts to debunk.[5][6]

After the Boston Marathon bombing in 2013, social media spread a false claim that a Sandy Hook survivor was among the victims. Despite refutations by outlets including Snopes, the story was shared tens of thousands of times and reported by mainstream media.[6]

Other examples include pseudoscientific products such as Dr. Mehmet Oz’s weight-loss supplements and Joseph Mercola’s tanning beds, which were promoted widely before regulatory action curtailed their sale, and the false media claim of an Icelandic “baby boom” following the national football team’s 2016 victory over England, later disproven by demographic data.[5][7]

COVID-19 pandemic

During the COVID-19 pandemic, the law was frequently invoked in relation to medical misinformation. Journalist Jeff Yates of Radio-Canada described the resource-intensive process of fact-checking a viral video containing numerous false claims, contrasting the creator’s minimal effort with days of verification work.[8] Similar dynamics were noted in public debates over hydroxychloroquine, where discredited claims continued to spread despite clinical evidence to the contrary.[9]

Further applications

Research in social psychology has examined conditions under which individuals are more susceptible to misinformation. A 2020 study found reduced ability to detect false claims when individuals had limited self-regulatory resources.[10]

Scholars have also applied the principle to the study of scientific credibility, organizational communication, and gendered disinformation campaigns, where false narratives are strategically deployed against women in public life.[11][12][13]

Mitigation

Scientists and communicators have discussed strategies to address the imbalance described by Brandolini’s law. Phil Williamson of the University of East Anglia argued in 2016 that researchers have a responsibility to correct misinformation in public forums.[1] Other proposed methods include pre-exposure warnings, repeated corrections, providing alternative explanations, and adhering to principles of accuracy, clarity, and fairness when challenging misinformation.[14][15]

Similar concepts

The idea aligns with earlier observations about the spread of falsehoods. Jonathan Swift wrote in 1710 that "Falsehood flies, and truth comes limping after it".[16][17] In 1845, economist Frédéric Bastiat noted the relative ease of presenting partial truths compared to refuting them in detail.[18] Comparable formulations appeared in the writings of Italian blogger Uriel Fanelli and researcher Jonathan Koomey.[19][20]

See also

References

  1. ^ a b Williamson, Phil (6 December 2016). "Take the time and effort to correct misinformation". Nature. 540 (7632): 171. doi:10.1038/540171a.
  2. ^ Thatcher, Jim; Shears, Andrew; Eckert, Josef (2018). "Rethinking the Geoweb and Big Data: Mixed Methods and Brandolini's Law". Thinking Big Data in Geography: New Regimes, New Research. University of Nebraska Press. pp. 232–. ISBN 978-1-4962-0537-7. JSTOR j.ctt21h4z6m. OCLC 1008767674.
  3. ^ Brandolini, Alberto (2013-01-11). "Bullshit Asymmetry Principle: the amount of energy needed to refute bullshit is an order of magnitude bigger than to produce it". Twitter. Retrieved 1 March 2015.
  4. ^ Brandolini, Alberto (2015-11-11). "@rpallavicini I discovered Uriel's post later :-) My inspiration was Daniel Kahneman…". Twitter. Retrieved 1 December 2016.
    — (2015-11-17). "@RPallavicini seeing Berlusconi vs Travaglio after reading "thinking Fast & Slow" :-)". Twitter. Retrieved 1 December 2016.
  5. ^ a b Dijkstra, Suzan; Kok, Gautam; Ledford, Julie G.; Sandalova, Elena; Stevelink, Remi (2018). "Possibilities and Pitfalls of Social Media for Translational Medicine". Frontiers in Medicine. 5: 345. doi:10.3389/fmed.2018.00345. PMC 6291449. PMID 30574495.
  6. ^ a b Bergstrom, Carl T.; West, Jevin D. (2020). Calling bullshit: the art of skepticism in a data-driven world. Random House. pp. 11–17. ISBN 978-0-525-50918-9. OCLC 1127668193.
  7. ^ Grech, Victor; Masukume, Gwinyai (December 2017). "Fake news of baby booms 9 months after major sporting events distorts the public's understanding of early human development science". Early Human Development. 115: 16–17. doi:10.1016/j.earlhumdev.2017.08.007. PMID 28843137.
  8. ^ Lapierre, Matthew (June 18, 2021). "Truth, lies and the disinformation problem that won't go away". The Montreal Gazette.
  9. ^ West, Jevin; Bergstrom, Carl (August 5, 2020). "Hydroxychloroquine for COVID-19 prevention? How to separate science from partisanship". NBC. Retrieved April 15, 2024.
  10. ^ Petrocelli, John V.; Watson, Haley F.; Hirt, Edward R. (July 2020). "Self-Regulatory Aspects of Bullshitting and Bullshit Detection". Social Psychology. 51 (4): 239–253. doi:10.1027/1864-9335/a000412. ISSN 1864-9335.
  11. ^ Allchin, Douglas (2023). "Ten competencies for the science misinformation crisis". Science Education. 107 (2): 261–274. Bibcode:2023SciEd.107..261A. doi:10.1002/sce.21746 – via Wiley Online Library.
  12. ^ Spicer, André (April 2020). "Playing the Bullshit Game: How Empty and Misleading Communication Takes Over Organizations". Organization Theory. 1 (2): 263178772092970. doi:10.1177/2631787720929704. ISSN 2631-7877.
  13. ^ "Gendered Disinformation: Tactics, Themes, and Trends by Foreign Malign Actors". U.S. Department of State. March 27, 2023.
  14. ^ Calling Bullshit in the Age of Big Data. University of Washington Information School. 2017. Retrieved 2024-04-21 – via YouTube.
  15. ^ Lewandowsky, Stephan; Ecker, Ullrich K. H.; Seifert, Colleen M.; Schwarz, Norbert; Cook, John (2012). "Misinformation and Its Correction: Continued Influence and Successful Debiasing". Psychological Science in the Public Interest. 13 (3): 106–131. doi:10.1177/1529100612451018. ISSN 1529-1006. PMID 26173286.
  16. ^ A Lie Can Travel Halfway Around the World While the Truth Is Putting On Its Shoes, Quote Investigator, July 13, 2014, retrieved 17 March 2024
  17. ^ Swift, Jonathan (November 9, 1710). "The Examiner". Retrieved November 21, 2024.
  18. ^ Ladwig, Craig (October 21, 2022). "At last, a law for our times". Seymour Tribune. Retrieved 29 April 2023.
  19. ^ Bergstrom, Carl T.; West, Jevin Darwin (2021). Calling bullshit: the art of skepticism in a data-driven world. Random House. ISBN 978-0-525-50920-2. OCLC 1139013709.
  20. ^ Koomey, Jonathan (2020). "Estimating Bitcoin Electricity Use: A Beginner's Guide" (PDF). coincenter.org.