Nan, X., Wang, Y., & Thier, K. (2021). Health Misinformation. PsyArXiv. https://doi.org/10.31234/osf.io/jt3ur

‘Trust the science’ is the mantra of the Covid crisis – but what about human fallibility? | Margaret Simons | The Guardian. (n.d.). Retrieved July 27, 2021, from https://www.theguardian.com/commentisfree/2021/jul/24/trust-the-science-is-the-mantra-of-the-covid-crisis-but-what-about-human-fallibility?CMP=Share_iOSApp_Other

Simon DeDeo and Elizabeth Hobson on equality and hierarchy | Santa Fe Institute. (n.d.). Retrieved 30 June 2021, from https://www.santafe.edu/news-center/news/simon-dedeo-and-elizabeth-hobson-equality-and-hierarchy

Soderberg, C. K., Errington, T. M., Schiavone, S. R., Bottesini, J., Thorn, F. S., Vazire, S., Esterling, K. M., & Nosek, B. A. (2021). Initial evidence of research quality of registered reports compared with the standard publishing model. Nature Human Behaviour, 1–8. https://doi.org/10.1038/s41562-021-01142-4

Health, A. G. D. of. (2021, March 13). COVID-19 vaccines ⁠–⁠ Is it true? [Text]. Australian Government Department of Health; Australian Government Department of Health. https://www.health.gov.au/initiatives-and-programs/covid-19-vaccines/is-it-true

Derrick, G. (2021). A year after lockdowns began, has research got any kinder? Nature. https://doi.org/10.1038/d41586-021-01579-7

This idea of re-evaluating at regular time points can be a very useful and powerful tool in more areas than just writing.

Society as a whole needs to look carefully at where it is do do this same sort of readjustment as well.

It's the same sort of negative feedback mechanism which is at work in the scientific method and constantly improving the state-of-the art.

Lynne Kelly's observation that oral cultures revised useful knowledge into their memories appears to me to be a simple precursor to annotation and the idea of the scientific method all in one...

Again, Dr. Lynne Kelly discusses this sort of process in non-Western and primarily oral cultures as well. Songlines has some interesting discussion of this in the Australian aboriginal cultures.

Data Collection and Integration to Enhance Public Health Registration, Thu, Jun 10, 2021 at 1:00 PM | Eventbrite. (n.d.). Retrieved May 28, 2021, from https://www.eventbrite.com/e/data-collection-and-integration-to-enhance-public-health-registration-156146370999

I really do need to create a historical timeline for commonplace books already.

Georg Christoph Lichtenberg also did this in the late 1700's and became famous for it after his death and the publication of his Waste Books. Worth looking into who his influences may have been?

This idea is far from new and is roughly what Georg Christoph Lichtenberg was doing with the science portions of his Waste Books in the late 1700's where he was running experiments, noting wins, losses, and making progress using the scientific method.

The ‘Learning Bayesian Statistics’ podcast. (n.d.). Retrieved 13 May 2021, from https://www.learnbayesstats.com

Georg Christoph Lichtenberg used his notebooks as thinking tools with respect to scientific methodology.

Epidemiology 101 for Journalists. (n.d.). Epidemiology, Biostatistics and Occupational Health. Retrieved 23 February 2021, from https://www.mcgill.ca/epi-biostat-occh/epidemiology-101-journalists

Ten scientific reasons in support of airborne transmission of SARS-CoV-2—The Lancet. (n.d.). Retrieved April 19, 2021, from https://www.thelancet.com/journals/lancet/article/PIIS0140-6736(21)00869-2/fulltext

Białek, M., & Grossmann, I. (2021). Social bias insights concern judgments rather than real-world decisions. PsyArXiv. https://doi.org/10.31234/osf.io/y3h7n

West, J. D., & Bergstrom, C. T. (2021). Misinformation in and about science. Proceedings of the National Academy of Sciences, 118(15). https://doi.org/10.1073/pnas.1912444117

As I said at the wiki I saw this link from, you don't test the hypothesis directly, you test the predictions, the "observational consequences", from the hypothesis.

Maarten van Smeden. (2021, March 25). 🚨🚨NEW EVIDENCE PYRAMID🚨🚨 https://t.co/RnGfl337tD [Tweet]. @MaartenvSmeden. https://twitter.com/MaartenvSmeden/status/1375008127737851904

Breznau, N., Rinke, E. M., Wuttke, A., Adem, M., Adriaans, J., Alvarez-Benjumea, A., Andersen, H. K., Auer, D., Azevedo, F., Bahnsen, O., Balzer, D., Bauer, G., Bauer, P. C., Baumann, M., Baute, S., Benoit, V., Bernauer, J., Berning, C., Berthold, A., … Nguyen, H. H. V. (2021). Observing Many Researchers using the Same Data and Hypothesis Reveals a Hidden Universe of Data Analysis. MetaArXiv. https://doi.org/10.31222/osf.io/cd5j9

Machine learning models for diagnosing COVID-19 are not yet suitable for clinical use. (2021, March 15). University of Cambridge. https://www.cam.ac.uk/research/news/machine-learning-models-for-diagnosing-covid-19-are-not-yet-suitable-for-clinical-use

Coenen, A., & Gureckis, T. (2021). The distorting effects of deciding to stop sampling information. PsyArXiv. https://doi.org/10.31234/osf.io/tbrea

Bergot, N. (2020, October 24). Battling fake science: University of Alberta launches free online science literacy course. Edmonton Journal. https://edmontonjournal.com/news/local-news/battling-fake-science-ualberta-launches-free-online-science-literacy-course

Collabovid. (n.d.). Retrieved 6 March 2021, from https://www.collabovid.org/

PRINCIPIA - Decentralized peer review. (n.d.). Retrieved 5 March 2021, from http://www.principia.network/

PhD, D. D. (n.d.). Managing scientific discourse on Twitter. Retrieved 5 March 2021, from https://statsepi.substack.com/p/managing-scientific-discourse-on

Cailin O’Connor. (2020, November 10). New paper!!! @psmaldino look at what causes the persistence of poor methods in science, even when better methods are available. And we argue that interdisciplinary contact can lead better methods to spread. 1 https://t.co/C5beJA5gMi [Tweet]. @cailinmeister. https://twitter.com/cailinmeister/status/1326221893372833793

Market, R. T. (n.d.). Build trust through criticism. Red Team Market. Retrieved 4 March 2021, from https://redteammarket.com/

Pennycook, Gordon. ‘How the COVID-19 Crisis Exposes Widespread Climate Change Hypocrisy’. CBC, 22 May 2020. https://www.cbc.ca/news/canada/saskatchewan/opinion-climate-change-should-believe-dont-understand-1.5482416.

Oreskes, N. (2019). Systematicity is necessary but not sufficient: On the problem of facsimile science. Synthese, 196(3), 881–905. https://doi.org/10.1007/s11229-017-1481-1

Understanding science is a process.

Open Science Community Tilburg on Twitter. (n.d.). Twitter. Retrieved October 28, 2020, from https://twitter.com/OpenTilburg/status/1318518990000607234

Brañas-Garza, P., Jorrat, D., Espín, A. M., & Sánchez, A. (2020). Paid and hypothetical time preferences are the same: Lab, field and online evidence. ArXiv:2010.09262 [Physics]. http://arxiv.org/abs/2010.09262

Science as Amateur Software Development. (2020, September 26). https://www.youtube.com/watch?v=zwRdO9_GGhY&feature=youtu.be

Krumsvik, R. J. (2020). Extended Editorial. Nordic Journal of Digital Literacy, 15(03), 141–152. https://doi.org/10.18261/issn.1891-943x-2020-03-01

Science could learn something from this. Science is too far focused on the idealized positive outcomes that it isn't paying attention to the negative outcomes and using that to better define its outline or overall shape. We need to define a scientific opportunity cost and apply it to the negative side of research to better understand and define what we're searching for.

Of course, how can we define a new scientific method (or amend/extend it) to better take into account negative results--particularly in an age when so many results aren't even reproducible?

Nagaraj, A., Shears, E., & Vaan, M. de. (2020). Improving data access democratizes and diversifies science. Proceedings of the National Academy of Sciences, 117(38), 23490–23498. https://doi.org/10.1073/pnas.2001682117

Susan Athey, July 22, 2020. (2020, August 2). https://www.youtube.com/watch?v=hqTOPrUxDzM

Kasy, M. (2020). How to run an adaptive field experiment. Retrieved from https://maxkasy.github.io/home/files/slides/adaptive_field_slides_kasy.pdf

r/BehSciMeta - Comment by u/VictorVenema on ”Can one distinguish between argument and fact? And, if yes, how?”. (n.d.). Reddit. Retrieved July 10, 2020, from https://www.reddit.com/r/BehSciMeta/comments/ho0qr1/can_one_distinguish_between_argument_and_fact_and/fxezalm

van Smeden, M., Lash, T. L., & Groenwold, R. H. H. (2020). Reflection on modern methods: Five myths about measurement error in epidemiological research. International Journal of Epidemiology, 49(1), 338–347. https://doi.org/10.1093/ije/dyz251

Laghaie, A., & Otter, T. (2020). Measuring evidence for mediation in the presence of measurement error [Preprint]. PsyArXiv. https://doi.org/10.31234/osf.io/5bz3f

Parikh, D. (2020, May 27). How we write rebuttals. Medium. https://medium.com/@deviparikh/how-we-write-rebuttals-dc84742fece1

van Rooij, I., & Baggio, G. (2020). Theory development requires an epistemological sea change [Preprint]. PsyArXiv. https://doi.org/10.31234/osf.io/rnw9q

Travis Whitfill MPH on Twitter: “A quick visual aid of major studies & levels of evidence against #hydroxychloroquine for the use in COVID-19 patients. No robust studies have found any type of benefit for HCQ. https://t.co/YbSjvaoEoO” / Twitter. (n.d.). Twitter. Retrieved August 2, 2020, from https://twitter.com/twhitfill/status/1288825416975708161

Fuhrer, J., & Cova, F. (2020). “Quick and dirty”: Intuitive cognitive style predicts trust in Didier Raoult and his hydroxychloroquine-based treatment against COVID-19. https://doi.org/10.31234/osf.io/ju62p

Sperrin, M., Martin, G. P., Sisk, R., & Peek, N. (2020). Missing data should be handled differently for prediction than for description or causal explanation. Journal of Clinical Epidemiology, 0(0). https://doi.org/10.1016/j.jclinepi.2020.03.028

Olsson-Collentine, A., van Assen, M. A. L. M., & Wicherts, J. M. (2020). Postprint—Heterogeneity in direct replications in psychology and its association with effect size [Preprint]. PsyArXiv. https://doi.org/10.31234/osf.io/m23v4

Mis-allocated scrutiny. (2020, June 24). The 100% CI. http://www.the100.ci/2020/06/24/mis-allocated-scrutiny/

Efron, B. (2020). Prediction, Estimation, and Attribution. Journal of the American Statistical Association, 115(530), 636–655. https://doi.org/10.1080/01621459.2020.1762613

Muthukrishna, M., Bell, A. V., Henrich, J., Curtin, C. M., Gedranovich, A., McInerney, J., & Thue, B. (2020). Beyond Western, Educated, Industrial, Rich, and Democratic (WEIRD) Psychology: Measuring and Mapping Scales of Cultural and Psychological Distance: Psychological Science. https://doi.org/10.1177/0956797620916782

Rosenbusch, H., Hilbert, L. P., Evans, A. M., & Zeelenberg, M. (2020). StatBreak: Identifying “Lucky” Data Points Through Genetic Algorithms. Advances in Methods and Practices in Psychological Science, 2515245920917950. https://doi.org/10.1177/2515245920917950

I take his general point here, and Newton said something along these lines, but I wouldn't call it "Newton's philosophy". If anything this philosophy is really the scientific method and Newton didn't invent it.

"ars est celare artem: art consists in concealing art"

I do not dig this mechanical, technical, scientific method dissection of writing. Unfortunately, this article is filled with this pre-Freudian crap. You wouldn't tear Raphael a new one because he painted The School of Athens figures in the wrong order.

Are these mechanics the result of the scientific method?

Are you doing science projects? Maybe you can use an old mission scope to have students ask questions about. That way some of the questions we will need to face will be answered before we actually get the mission for this year.

Is he saying something about inductive vs deductive methods? Where typically historians have a model or a hypothesis but now they are allowing the data to tell the story?