Darren L Dahly, PhD on Twitter: “If you find @MicrobiomDigest’s spot the duplication challenges a bit tooooo challenging, I’ll give you an easy one. See if you can spot the batshit crazy in this table 1, which is supposedly describing a nationally representative sample. https://t.co/dDdsq0YjR7” / Twitter. (n.d.). Twitter. Retrieved July 11, 2020, from https://twitter.com/statsepi/status/1280995113439834114

mike johansen on Twitter: “This paper has got some MAJOR problems. I don’t know why this paper was accepted for publication (nor submitted for publication to be frank). Let’s dive in. 1/” / Twitter. (n.d.). Twitter. Retrieved July 11, 2020, from https://twitter.com/mikejohansenmd/status/1280728008643555328

Mario Elia on Twitter: “While I commend them for this work, a few things jump out at me right away looking at the data tables. The sample of the patients was heavily skewed towards a few demographics. 1/” / Twitter. (n.d.). Twitter. Retrieved July 11, 2020, from https://twitter.com/supermarioelia/status/1280709931235184641

Scientist, N. (n.d.). How to sniff out the good coronavirus studies from the bad. New Scientist. Retrieved July 1, 2020, from https://www.newscientist.com/article/2242835-how-to-sniff-out-the-good-coronavirus-studies-from-the-bad/

Meta-Scientists (PYMS), P. for Y. (n.d.). PYMS. PYMS. Retrieved June 22, 2020, from /

BehSciMeta repost. (2020, May 22). "Great piece by James Heathers on how preprints have turned into publicity vehicles and researchers are being irresponsible in not responding to criticism" Reddit. https://www.reddit.com/r/BehSciMeta/comments/go6lik/great_piece_by_james_heathers_on_how_preprints/

Kazemi, D. (2020, May 23). "NPR is promoting this article again. Without access to the study we have no way of knowing how "bot" was estimated or measured, we simply have to go on the reputation and past research of this lab, which I dug into last night here: https://twitter.com/tinysubversion..." Twitter. https://twitter.com/tinysubversions/status/1263965246416318465

Brodeur, A., Cook, N., & Heyes, A. (2020). A Proposed Specification Check for p-Hacking. AEA Papers and Proceedings, 110, 66–69. https://doi.org/10.1257/pandp.20201078

Vuong, Q.-H. (2020). Reform retractions to make them more transparent. Nature, 582(7811), 149–149. https://doi.org/10.1038/d41586-020-01694-x

van Smeden, M. (2020, May 26). "RT @MaartenvSmeden: Often more than 300 COVID-19 related scientific articles published per day Data from @evidencelive." Twitter. https://twitter.com/SciBeh/status/1265657595307667457

Glasziou, P. P., Sanders, S., & Hoffmann, T. (2020). Waste in covid-19 research. BMJ 2020;369. doi: https://doi.org/10.1136/bmj.m1847

Lee, S. M. (2020, April 22) Two Antibody Studies Say Coronavirus Infections Are More Common Than We Think. Scientists Are Mad. https://www.buzzfeednews.com/article/stephaniemlee/coronavirus-antibody-test-santa-clara-los-angeles-stanford

Lee, S. M. (2020, May 15) JetBlue’s Founder Helped Fund A Stanford Study That Said The Coronavirus Wasn’t That Deadly. BuzzFeed News. https://www.buzzfeednews.com/article/stephaniemlee/stanford-coronavirus-neeleman-ioannidis-whistleblower

Angner, E. (2020, May 11). "Terrific assessment of projections of demand for Swedish ICU beds. The first two panels are model-based projections by academics; the third is a simple extrapolation by the public-health authority; the fourth is the actual outcome /1." Twitter. https://twitter.com/SciBeh/status/1260121561861939200

Meyer, A. C. M., Robinson. (2020, May 21). ‘How Could the CDC Make That Mistake?’ The Atlantic. https://www.theatlantic.com/health/archive/2020/05/cdc-and-states-are-misreporting-covid-19-test-data-pennsylvania-georgia-texas/611935/

Heathers, J. (2020, May 21). Preprints Aren’t The Problem—WE Are The Problem. Medium. https://medium.com/@jamesheathers/preprints-arent-the-problem-we-are-the-problem-75d29a317625

Daniël Lakens on Twitter

Taber, S. (2019, September 18). The Problem With Sugar-Daddy Science. The Atlantic. https://www.theatlantic.com/ideas/archive/2019/09/problem-sugar-daddy-science/598231/

Expert Reaction

Expert Reaction

Carl T. Bergstrom on Twitter

Heathers, J. (2020 April 13). Hurry, don't rush. Medium. https://medium.com/@jamesheathers/hurry-dont-rush-e1aee626e733

A nice quote on the variability of humans & their best diets.

Excellent example of badly used statistics.

Here, on page 2, a study on infrasound conducted by Mr. Richard James is referenced. Mr. Richard James references Nina Pierpont's "Wind Turbine Syndrome" in articles he has written, namely "Wind Turbine Infra and Low-Frequency Sound: Warning Signs That Were Not Heard," see this link. Wind turbine syndrome is not a real medical syndrome, see this link and this link. In fact, Mr. Richard James and his methodologies for measuring sound has been discredited in a Michigan court, see Rick James – A Technical Discussion of His Deposition and Testimony in the Spencer / Kobetz Lawsuit.

On page 7, we learn that Mr. Richard James trained a field technician to set up sound measuring equipment at a dozen homes within the Shirley Wind Farm. It's unclear if Mr. Richard James was present to ensure set up and staging of equipment was per professional protocol. The trained field technician is stated to live within the Shirley Wind Farm. Mr. Richard James also collected weather data using a website called wonderground.com [sic]. Note that the field technician didn't record weather data via actual observation while domiciled within the Shirley Wind Farm. Also to consider is the likelihood of gaps in the collection of data, "On many occasions, there was an observer recording the events of the turbines..." This sounds fuzzy. Brings doubt to the reliability of collected data.

On page 13, the Brown County Board of health declares the Shirley Wind Farm a human health hazard.

As a result of Brown County's declaration, the Governor of Wisconsin will spend $250,000 to study health effects of wind power.

In what concentrations? "Toxic" is pretty meaningless.