Grawitch, M. J., & Lavigne, K. (2021). Do Attitudes, Trust, and Acceptance of Pseudoscience and Conspiracy Theories Predict COVID-19 Vaccination Status? PsyArXiv. https://doi.org/10.31234/osf.io/tg7xr

Dr. Jonathan N. Stea. (2021, January 25). Covid-19 misinformation? We’re over it. Pseudoscience? Over it. Conspiracies? Over it. Want to do your part to amplify scientific expertise and evidence-based health information? Join us. 🇨🇦 Follow us @ScienceUpFirst. #ScienceUpFirst https://t.co/81iPxXXn4q. Https://t.co/mIcyJEsPXe [Tweet]. @jonathanstea. https://twitter.com/jonathanstea/status/1353705111671869440

Yang, M. (2022, February 14). Arkansas jail’s ivermectin experiments recall historical medical abuse of imprisoned minorities. The Guardian. https://www.theguardian.com/us-news/2022/feb/14/arkansas-prison-covid-19-ivermectin-experiment-minorities-medical-abuse

Caulfield, T. (2021, October 18). The Golden Age of Junk Science Is Killing Us. Men’s Health. https://www.menshealth.com/health/a37910261/how-junk-science-and-misinformation-hurt-us/

Wiseman, E. (2021, October 17). The dark side of wellness: The overlap between spiritual thinking and far-right conspiracies. The Observer. https://www.theguardian.com/lifeandstyle/2021/oct/17/eva-wiseman-conspirituality-the-dark-side-of-wellness-how-it-all-got-so-toxic

O’Brien, T. C., Palmer, R., & Albarracin, D. (2021). Misplaced trust: When trust in science fosters belief in pseudoscience and the benefits of critical evaluation. Journal of Experimental Social Psychology, 96, 104184. https://doi.org/10.1016/j.jesp.2021.104184

Mixing science and art to make the truth more interesting than lies. (n.d.). Retrieved September 28, 2021, from https://theconversation.com/mixing-science-and-art-to-make-the-truth-more-interesting-than-lies-100221?utm_source=twitter&utm_medium=bylinetwitterbutton

Bowes, S. M., & Tasimi, A. (2021). Clarifying the Relations between Intellectual Humility and Misinformation Susceptibility. PsyArXiv. https://doi.org/10.31234/osf.io/x37c5

Majority of Covid misinformation came from 12 people, report finds | Coronavirus | The Guardian. (n.d.). Retrieved July 19, 2021, from https://www.theguardian.com/world/2021/jul/17/covid-misinformation-conspiracy-theories-ccdh-report?utm_source=dlvr.it&utm_medium=twitter

Op-Ed: How Not to Message the Public on COVID Vaccines | MedPage Today. (n.d.). Retrieved May 26, 2021, from https://www.medpagetoday.com/infectiousdisease/publichealth/92704

NetScience[@net_science] (2020-08-23) Pseudoscientific Content on YouTube: Assessing the Effects of Watch History on the Recommendation Algorithm. (arXiv:2010.11638v1 [http://cs.CY]) http://arxiv.org/abs/2010.11638. Twitter.Retrieved from: https://twitter.com/SciBeh/status/1319564893503225856

ReconfigBehSci on Twitter. (n.d.). Twitter. Retrieved October 25, 2020, from https://twitter.com/SciBeh/status/1318119595497168897

Times info@bylinetimes.com (https://bylinetimes.com/), B. (2020, September 23). Scamademics? Right-Wing Lobbying Groups Reviving ‘Herd Immunity’ in the UK. Byline Times. https://bylinetimes.com/2020/09/23/scamademics-right-wing-lobbying-groups-reviving-herd-immunity-in-the-uk/

ACTUAL DOCTOR WATCHES COVID PSEUDOSCIENCE VIDEO. (2020, September 15). https://www.youtube.com/watch?v=DUDg5ossirU&feature=youtu.be

University, © Stanford, Stanford, & Complaints, C. 94305 C. (n.d.). Virality Project (US): Marketing meets Misinformation. Retrieved 25 August 2020, from https://cyber.fsi.stanford.edu/io/news/manufacturing-influence-0

Pavela Banai, I., Banai, B., & Mikloušić, I. (2020, July 14). Beliefs in COVID-19 conspiracy theories predict lower level of compliance with the preventive measures both directly and indirectly by lowering trust in government medical officials. Retrieved from psyarxiv.com/yevq7

Teovanovic, P., Lukic, P., Zupan, Z., Lazić, A., Ninković, M., & Zezelj, I. (2020, May 20). Irrational beliefs differentially predict adherence to guidelines and pseudoscientific practices during the COVID-19 pandemic. https://doi.org/10.31234/osf.io/gefhn

Cavojova, V., Šrol, J., & Mikušková, E. B. (2020, April 15). Scientific reasoning as a predictor of health-related beliefs and behaviors in the time of COVID-19. https://doi.org/10.31234/osf.io/tfy5q

Kreidler, M. (2020, March 25). CORONAVIRUS RESOURCE CENTER | Center for Inquiry. https://centerforinquiry.org/coronavirus/

This calculation does not make sense to me. Besides assuming purely linear relations between cigarettes sales and population deaths, as well as between PM2.5 particles and population deaths, it also seems to imply the absurd assumption that every member of the population smokes the same amount of cigarettes. If they would take into account that only a quarter of the population they used smokes at all (seems about right), their resulting number of 36 would become 8 instead (and this does not even take into account that not all smokers smoke the same amount). Either I missed something, or this is just a completely meaningless calculation covered up by a smart-looking explanation.

I wonder if this accounts for the bad design of pseudoscience publications.