1/ A great summary! After having peer reviewed many papers in the past, I can't leave this uncommented. There is just too much truth in it. But also many things missing. @markdhumphries
2/ "only one of Einstein’s 300 or so published papers was ever peer-reviewed, which so disgusted him that he never submitted a paper to that journal again."
He was not alone. Nature rejected Kary Mullis PCR paper (Nobel Price awared).
3/ Peer Review is nothing more than "please have a look". It's a basic check, not a quality endorsment. Most papers I received were Chinese low quality papers pushing into high-end journals like Phys. Rev. B or Phys. Rev. Letters. I rejected (or redirected elswhere) most of them.
4/ It was clear that pushing low quality into high-end journals was about reputation and money. It's a quantitative money game, driven by the sick funding process in science. The more I rejected (or redirected elsewhere), the more I received from Phys. Rev. I noticed empirically
5/ Other reviewers may not be critical, so the flooding tactics to the high-end obviously works by being lucky (catching e.g. a lazy "ok" reviewer). For my own papers, I considered such high-end flooding tactic as unmoral to engage in. Nice small conferences are fine too for me.
6/ "much peer review is aggressive, rude, lazy, or just plain bad.".
You nailed it!
We don't get paid for this, so what do you expect? Quality? Most papers are bad, so it's really not fun nor a popular task to proof read. 99.99..% of the papers are not breaking discoveries.
7/ When a paper drops in for review, what is more likely? A) You drop your work or B) you pass it on to the PhD student? At some point, when Phys. Rev. sent too much, I started to reduce, reject or pass on. Checking the "not my field" box was the fastest way out for boring papers
8/ Peer Review is NOT a quality stamp nor a "certification" like mainstream COVID manic media claims.
"Does it stop a plainly wrong or plainly nonsense paper from being published? No"
9/ The article forgot to mention another issue: Rivality between competing groups. Dirty games may be played on the high end front. Rejection in order to publish ahead. At least that's what rumors tell for high impact publications on Moore's law research. Not seen it myself.
10/ Academic integrity and courage at the level of @ConceptualJames@BretWeinstein@peterboghossian@SwipeWright is exceptionally rare. They deserve a big thank you in this sinister "post factual" propaganda times of political science.
12/ The weak point seems to be at the editorial level. Once you get a political agenda pushing admin on such post, it's game over. In science and media. Nice example is @ggreenwald (also a shining star) who resigned from the outlet he co-founded. theguardian.com/media/2020/oct…
13/ Team #DRASTIC has shown us the pathway for the future. It's time to scarp and wrap-up the dead dinosaurs, both in media and science journals.
Ideally we should have a block chain version of an uncensorable version of Twitter for science with a built in pre-print database.
14/ Closing words: "Satoshi Nakamoto" un-reviewed #bitcoin paper provided a solution to a long unsolvable mathematical problem: "The #Byzantine Generals’ Problem". A major mathematical discovery with disruptive impact on society. bitcoin.org/bitcoin.pdf link.medium.com/8tpn7lYHWgb
Imagine claiming the trial was correct, deploying it to 95% in NZ/AUT, and then—boom!—the incidence explodes instead of the virus being eliminated which should already happen at ~70% rate, and was calculated mathematically to happen based on that very promise. False. Study ➡️🚮
Moreover, mortality rises instead of falling. Who are these people still lying about its mortality effectiveness? It’s a failure, and rightfully, Pfizer's stock is plummeting. Keep grieving; won’t help. We want the money back. Those who wanted it can still buy it with own money.
They think that they will get out of this? Desperation. Or did he just admit that everybody (including the CEO Fauci CDC…) were involved in deceptive advertising claims? I doubt that it is going to have a better outcome. Keep digging the hole 👍
1/ Important. ERA5 is a weather model, not a measurement. This summer field tests revealed: rural areas suffer heat bias due to urban heat pollution, making models/interpolations heat biased.
Here a demo that ERA5 is wrong on the tested location.
2/ This implies that all temperature aggregations in climate aggregations incorporate the heat bias prevalent in rural areas. This outcome is hardly surprising given that the majority of weather stations are situated in urban or airport environments.
2/Context: When aiming to determine the Age-Standardized Mortality Rate (ASMR) rather than Life Expectancy (LE), we employ a straightforward relationship:
ASMR = 90 - LE
(valid for ESP2013 population)
However, for those who find it more relevant, we can maintain the LE-CO2
3/ It's important to mention that money is an abstraction of promised future work (energy future). This is why the US dollar is linked to oil; US have grasped this concept.
Rather than $ inflation adjustments, you can express your wealth / income as tons CO2 (or MWh) instead.
1/ Thanks to the Simpson’s paradox (alle age vaxx rates + all age excess) + spurious correlation (ecological fallacy), the Professor is resurfacing the manipulative fallacy from 2021.
Let’s demonstrate on pre-vaxx year 2020.
@MartinKulldorff
2/ Just to highlight further: the vaccination rate in the age group 65+ where 99% of mortality comes from, is equivalent in almost all European countries and higher than 90%.
3/ He’s furthermore using the ecological fallacy, which we can use to make a time machine (called spurious correlation) and have the vaccine given 2021 working in 2019 or earlier.