- Feb 2021
u/dawnlxh. (2021). Reviewing peer review: does the process need to change, and how?. r/BehSciAsk. Reddit
- peer review
- Oct 2020
I don't want Svelte to go out of its way to try to catch all these edge cases. It would require lots of fragile heuristics in the compiler. I want a solid compiler I can trust, not something magic but often out of service. I want it the simplest possible.
In the many projects I have maintained so far, sooner or later I always run into the same issue: circular module dependencies. Although there are many strategies and best practices on how to avoid circular dependencies. There is very little on how to fix them in a consistent and predictable way.
This is how I solve circular dependency issues nowadays.
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.
- Aug 2020
Ophir, Yaakov, and Yaffa Shir Raz. ‘Manipulations and Spins in Attention Disorders Research: The Case of ADHD and COVID-19’. Preprint. PsyArXiv, 20 August 2020. https://doi.org/10.31234/osf.io/dmu4j.
- adverse effects of medication
- in-depth inspection
- pharmaceutical industry
- inappropriate operational definitions
- bogus results
- increased risk of infection
- raise awareness
- poor methodologies
- attention disorders
- attention disorders research
- stimulants reduce risk
- healthy scientific scepticism
Califf, Robert M., Adrian F. Hernandez, and Martin Landray. ‘Weighing the Benefits and Risks of Proliferating Observational Treatment Assessments: Observational Cacophony, Randomized Harmony’. JAMA 324, no. 7 (18 August 2020): 625–26. https://doi.org/10.1001/jama.2020.13319.
- nonrandomised studies
- proliferating observational treatment
- false confidence
- clinical management
- benefits and risks
- reliable truth
- randomised clinical trials
- May 2020
r/BehSciResearch—How do people search for, avoid and share information during COVID-19? (n.d.). Reddit. Retrieved April 20, 2020, from https://www.reddit.com/r/BehSciResearch/comments/fpvr1x/how_do_people_search_for_avoid_and_share/
Richardson, S., & Spiegelhalter, D. (2020, April 12). Coronavirus statistics: What can we trust and what should we ignore? The Observer. https://www.theguardian.com/world/2020/apr/12/coronavirus-statistics-what-can-we-trust-and-what-should-we-ignore