Anthony Costello on Twitter. (n.d.). Twitter. Retrieved 1 March 2021, from https://twitter.com/globalhlthtwit/status/1323747414923202562

Rohrer, J. M., Schmukle, S., & McElreath, R. (2021). The Only Thing That Can Stop Bad Causal Inference Is Good Causal Inference. PsyArXiv. https://doi.org/10.31234/osf.io/mz5jx

Conley, D., & Johnson, T. (2021). Opinion: Past is future for the era of COVID-19 research in the social sciences. Proceedings of the National Academy of Sciences, 118(13). https://doi.org/10.1073/pnas.2104155118

Hernán, M. A., Clayton, D., & Keiding, N. (2011). The Simpson’s paradox unraveled. International Journal of Epidemiology, 40(3), 780–785. https://doi.org/10.1093/ije/dyr041

Quillien, Tadeg, and Michael Barlev. ‘Causal Judgment in the Wild: Evidence from the 2020 US Presidential Election’. PsyArXiv, 7 April 2021. https://doi.org/10.31234/osf.io/7w9re.

the Guardian. ‘There’s No Proof the Oxford Vaccine Causes Blood Clots. So Why Are People Worried? | David Spiegelhalter’, 15 March 2021. http://www.theguardian.com/commentisfree/2021/mar/15/evidence-oxford-vaccine-blood-clots-data-causal-links.

Levine, E. (2021). Community standards of deception: Deception is perceived to be ethical when it prevents unnecessary harm. PsyArXiv. https://doi.org/10.31234/osf.io/g5trb

Blakely, Tony, John Lynch, Koen Simons, Rebecca Bentley, and Sherri Rose. ‘Reflection on Modern Methods: When Worlds Collide—Prediction, Machine Learning and Causal Inference’. International Journal of Epidemiology 49, no. 6 (1 December 2020): 2058–64. https://doi.org/10.1093/ije/dyz132.

Peyton, Kyle, Gregory A. Huber, and Alexander Coppock. “The Generalizability of Online Experiments Conducted During The COVID-19 Pandemic.” SocArXiv, November 28, 2020. https://doi.org/10.31235/osf.io/s45yg.

Burel, Gregoire; Farrell, Tracie; Mensio, Martino; Khare, Prashant and Alani, Harith (2020). Co-Spread of Misinformation and Fact-Checking Content during the Covid-19 Pandemic. In: Proceedings of the 12th International Social Informatics Conference (SocInfo), LNCS.

Adams, R. C., Sumner, P., Vivian-Griffiths, S., Barrington, A., Williams, A., Boivin, J., Chambers, C. D., & Bott, L. (2017). How readers understand causal and correlational expressions used in news headlines. Journal of Experimental Psychology: Applied, 23(1), 1–14. https://doi.org/10.1037/xap0000100

Karl Friston: Up to 80% not even susceptible to Covid-19. (2020, June 4). UnHerd. https://unherd.com/2020/06/karl-friston-up-to-80-not-even-susceptible-to-covid-19/

The Alan Turing Institute: Causal Inference, Causal Decision Making Under Uncertainty | CogX 2020. (2020, June 25). https://www.youtube.com/watch?v=JAGRHbDLvUs

Gruijters, Stefan L.K. ‘The Fallacy of Manipulation “Checks” in Psychological Experiments’. Preprint. PsyArXiv, 20 August 2020. https://doi.org/10.31234/osf.io/fkzv5.

Leininger, A., & Schaub, M. (2020). Voting at the dawn of a global pandemic [Preprint]. SocArXiv. https://doi.org/10.31235/osf.io/a32r7

Causal inference isn’t what you think it is. (n.d.). LSHTM. Retrieved June 26, 2020, from https://www.lshtm.ac.uk/newsevents/events/causal-inference-isnt-what-you-think-it

Long read: Cultural evolution, Covid-19, and preparing for what’s next. (2020, April 22). LSE Business Review. https://blogs.lse.ac.uk/businessreview/2020/04/22/long-read-cultural-evolution-covid-19-and-preparing-for-whats-next/

Friston KJ, Parr T, Zeidman P et al. Dynamic causal modelling of COVID-19 [version 1; peer review: awaiting peer review]. Wellcome Open Res 2020, 5:89 (https://doi.org/10.12688/wellcomeopenres.15881.1)

Marshall, B. D. L., & Galea, S. (2015). Formalizing the Role of Agent-Based Modeling in Causal Inference and Epidemiology. American Journal of Epidemiology, 181(2), 92–99. https://doi.org/10.1093/aje/kwu274

Lagnado, D. (2020 April 27). What if.... Changing Minds. https://www.youtube.com/watch?v=2W11CRLjRgo&app=desktop

Johnson, S. G. B., Bilovich, A., & Tuckett, D. (2020, April 30). Conviction Narrative Theory: A Theory of Choice Under Radical Uncertainty. Retrieved from psyarxiv.com/urc96

Intro to "Agential Intra-Action"

So Campbell seems to have a lot of "causal chains," so where are the "bundles of evidence" exactly? I mean, this definitely seems to be moral reasoning, but this looks like more of a chain than a bundle.