- Dec 2022
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en.wikipedia.org en.wikipedia.org
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The Gish gallop /ˈɡɪʃ ˈɡæləp/ is a rhetorical technique in which a person in a debate attempts to overwhelm their opponent by providing an excessive number of arguments with no regard for the accuracy or strength of those arguments. In essence, it is prioritizing quantity of one's arguments at the expense of quality of said arguments. The term was coined in 1994 by anthropologist Eugenie Scott, who named it after American creationist Duane Gish and argued that Gish used the technique frequently when challenging the scientific fact of evolution.[1][2] It is similar to another debating method called spreading, in which one person speaks extremely fast in an attempt to cause their opponent to fail to respond to all the arguments that have been raised.
I'd always known this was a thing, but didn't have a word for it.
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- Aug 2022
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www.thelancet.com www.thelancet.com
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Schlagenhauf, P., & Deuel, J. (2021). Concerts and COVID: Can the beat go on? The Lancet Infectious Diseases, 0(0). https://doi.org/10.1016/S1473-3099(21)00721-0
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- Jan 2022
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www.theguardian.com www.theguardian.com
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Rimon, R. (2022, January 21). Two-thirds of passengers on first flight to Covid-free Kiribati diagnosed with virus. The Guardian. https://www.theguardian.com/world/2022/jan/21/two-thirds-of-passengers-on-first-flight-to-covid-free-kiribati-diagnosed-with-virus
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www.biorxiv.org www.biorxiv.org
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Wernike, K., Boettcher, J., Amelung, S., Albrecht, K., Gaertner, T., Donat, K., & Beer, M. (2022). Serological screening suggests single SARS-CoV-2 spillover events to cattle (p. 2022.01.17.476608). https://doi.org/10.1101/2022.01.17.476608
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- Oct 2021
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mriids.org mriids.orgMRIIDS1
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MRIIDS. (n.d.). Retrieved September 6, 2021, from https://mriids.org/about
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- Jul 2021
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www.medrxiv.org www.medrxiv.org
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Gozzi, N., Chinazzi, M., Davis, J. T., Mu, K., Piontti, A. P. y, Ajelli, M., Perra, N., & Vespignani, A. (2021). Estimating the spreading and dominance of SARS-CoV-2 VOC 202012/01 (lineage B.1.1.7) across Europe. MedRxiv, 2021.02.22.21252235. https://doi.org/10.1101/2021.02.22.21252235
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- Jun 2021
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github.com github.com
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Personally I think it is a very bad idea to leverage political views, even if I may share them, through software.
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stackoverflow.com stackoverflow.com
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Programmers should be encouraged to understand what is correct, why it is correct, and then propagate.
new tag?:
- understand why it is correct
Tags
- having a deep understanding of something
- spreading/propagating good ideas
- quotable
- annotation meta: may need new tag
- programming languages: learning/understanding the subtleties
- programming: understand the language, don't fear it
- good advice
- combating widespread incorrectness/misconception by consistently doing it correctly
Annotators
URL
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- May 2021
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Adam, D. (2021). What scientists know about new, fast-spreading coronavirus variants. Nature. https://doi.org/10.1038/d41586-021-01390-4
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- Mar 2021
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www.reddit.com www.reddit.com
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reddit. ‘R/BehSciAsk - Workshop Hackathon: Optimising Research Dissemination and Curation’. Accessed 6 March 2021. https://www.reddit.com/r/BehSciAsk/comments/jjtht2/workshop_hackathon_optimising_research/.
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- Jan 2021
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www.reddit.com www.reddit.com
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Surveys in a time of Covid [u/hamilton_ian] (2020-01-28). Reddit. Retrieved from: https://www.reddit.com/r/BehSciAsk/comments/l739ru/surveys_in_a_time_of_covid/
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- Sep 2020
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WIRED. (2020, September 12). How does a Sturgis-sized crowd affect COVID-19? It’s complicated. Ars Technica. https://arstechnica.com/science/2020/09/how-does-a-sturgis-sized-crowd-affect-covid-19-its-complicated/
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ncrc.jhsph.edu ncrc.jhsph.edu
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The Contagion Externality of a Superspreading Event: The Sturgis Motorcycle Rally and COVID-19 | NCRC. (2020, September 3). 2019 Novel Coronavirus Research Compendium (NCRC). https://ncrc.jhsph.edu/research/the-contagion-externality-of-a-superspreading-event-the-sturgis-motorcycle-rally-and-covid-19/
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- Aug 2020
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@DFRLab. (2020, July 16). Op-Ed | Hitting COVID-19 disinfo websites where it hurts: Their wallets. Medium. https://medium.com/dfrlab/op-ed-hitting-covid-19-disinfo-websites-where-it-hurts-their-wallets-fe4a20080ad1
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- Jul 2020
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www.nytimes.com www.nytimes.com
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Zimmer, C. (2020, June 30). Most People With Coronavirus Won’t Spread It. Why Do a Few Infect Many? The New York Times. https://www.nytimes.com/2020/06/30/science/how-coronavirus-spreads.html
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In your environment you may want to always configure internationalization, routers, user data etc. If you have many different React roots it can be a pain to set up configuration nodes all over the place. By creating your own wrapper you can unify that configuration into one place.
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Althouse, B. M., Wenger, E. A., Miller, J. C., Scarpino, S. V., Allard, A., Hébert-Dufresne, L., & Hu, H. (2020). Stochasticity and heterogeneity in the transmission dynamics of SARS-CoV-2. ArXiv:2005.13689 [Physics, q-Bio]. http://arxiv.org/abs/2005.13689
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- Jun 2020
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colinrtalbot.wordpress.com colinrtalbot.wordpress.com
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Talbot, P. C. (2020, June 5). Have Virus, Will Travel? PUBLIC INTEREST. https://colinrtalbot.wordpress.com/2020/06/05/have-virus-will-travel/
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link.aps.org link.aps.org
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Van Mieghem, P., & Wang, F. (2020). Time dependence of susceptible-infected-susceptible epidemics on networks with nodal self-infections. Physical Review E, 101(5), 052310. https://doi.org/10.1103/PhysRevE.101.052310
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arxiv.org arxiv.org
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de Arruda, G. F., Méndez-Bermúdez, J. A., Rodrigues, F. A., & Moreno, Y. (2020). Universality of eigenvector delocalization and the nature of the SIS phase transition in multiplex networks. ArXiv:2005.08074 [Cond-Mat, Physics:Physics]. http://arxiv.org/abs/2005.08074
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Velásquez-Rojas, F., da Silva, P. C. V., Connaughton, C., Moreno, Y., Rodrigues, F. A., & Vazquez, F. (2020). Disease and information spreading at different speeds in multiplex networks. ArXiv:2006.01965 [Physics]. http://arxiv.org/abs/2006.01965
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- May 2020
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Pichler, Anton, Marco Pangallo, R. Maria del Rio-Chanona, François Lafond, and J. Doyne Farmer. “Production Networks and Epidemic Spreading: How to Restart the UK Economy?” ArXiv:2005.10585 [Physics, q-Fin], May 21, 2020. http://arxiv.org/abs/2005.10585.
Tags
- unemployment
- transmission rate
- epidemiology
- production network
- United Kingdom
- GDP
- COVID-19
- industry
- social distincing
- economic growth
- consumption
- input-output constraints
- economics
- work from home
- supply
- production
- reopening industry
- lang:en
- inventory dynamics
- epidemic spreading
- demand
- is:article
Annotators
URL
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Masuda, N., & Holme, P. (2020). Small inter-event times govern epidemic spreading on networks. Physical Review Research, 2(2), 023163. https://doi.org/10.1103/PhysRevResearch.2.023163
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