flockofseagulls104 wrote: ↑Tue Feb 08, 2022 7:23 pm
Well, not much of a discussion here, which in itself says a lot about the people on this bored.
This is a study from Johns Hopkins, which is not a bastion of right-wing lunatics, even by the standards of the leftists here. As I was told not long ago, I know nothing about statistics. But I bet economists probably do. They can figure out what the numbers indicate. Probably better than physicians or politicians.
They posited a theory, backed up with a lot of research, that the way our 'leaders' went about reacting to the covid pandemic, and still persist on doing today, did very little or nothing to help us. That very few of you even cared enough to comment one way or another is, to me, sad. No one even hinted at thinking about the harm it has done in other areas.
Nobody changed their method of responding, either because they didn't read about the predictions or they just can't.
I've edited your comments down to a few to comment on. I'll admit that, like you, I don't know a lot about statistics. So, I checked on what some other experts have to say on the subject, many of which I quoted in my response. Rather that look at what I posted, you dismissed it because it disagreed with your expert.
The epidemiologists, statisticians, and other experts I cited came from ScienceMediaCentre.org. Here's what Media Bias Fact Check found: "he Science Media Centre is an organization formed to encourage more accurate reporting of science in the media. When notable scientific papers are published, the Science Media Centre will often publish a page of “expert opinion.” The Science Media Centre reviews a scientific study and then has experts within the field critique and offer opinions about the study. A review of the website shows evidence based reporting. The Science Media Centre has been criticized for being business friendly and according to the Guardian they are a lobby group. Overall, the Science Media Centre is a Pro-Science source." A Pro-Science source "consists of legitimate science or are evidence based through the use of credible scientific sourcing. Legitimate science follows the scientific method, is unbiased and does not use emotional words. These sources also respect the consensus of experts in the given scientific field and strive to publish peer reviewed science. Some sources in this category may have a slight political bias, but adhere to scientific principles." Not exactly Mother Jones here.
But they weren't the only group to criticize this study. Here's what Snopes had to say:
The first thing we noticed when we examined the actual study, not the media reports covering the study, was that this was a “working paper” by a group of economists, not epidemiologists. A working paper typically refers to a pre-publication study that has not yet undergone a scientific peer-review process. This study was not endorsed by Johns Hopkins University. While many media outlets presented this working paper as if it was a “Johns Hopkins study,” this report would be more accurately described as a non-peer-reviewed working paper by three economists, one of whom is an economics professor at Johns Hopkins University. Further, this paper did not come from Johns Hopkins University’s Coronavirus Resource Center. Rather, it comes from the university’s unaffiliated Krieger School of Arts and Sciences. [One of the authors, Steve H. Hanke] has repeatedly posted messages on Twitter equating lockdowns with fascism.
While many media reports on this working paper noted that “lockdowns only reduced COVID deaths by 0.2 per cent,” this may give readers a false impression of what this working paper actually found. This paper, however, defines a lockdown as “the imposition of at least one compulsory, non-pharmaceutical intervention (NPI).” This means that this study interprets a mask-wearing requirement as a “lockdown,” even if that requirement did not prevent a person from visiting public spaces.
Another point of concern is that 12 of the 34 studies analyzed in this review were, themselves, working papers. The analysis of 34 included 14 in the field of economics and only one in epidemiology. Furthermore, nearly half of the studies analyzed (16 of 34) were published in 2020. The most recent study comes from June 2021, meaning that this meta-analysis contains little to no data related to the delta variant, and no data related to omicron.
In a Feb. 4 thread on Twitter, Meyerowitz-Katz dug into the details of this study and found, among other things, that this paper was not peer-reviewed, that the analysis excluded all studies with a counter-factual model — thereby excluding nearly all epidemiological-focused papers — and that it heavily weighted studies that supported their conclusion. Furthermore, the conclusions of this non-peer reviewed working paper run counter to published studies in academic journals that found lockdowns did prevent COVID-19 deaths. One study, for example, found that lockdown policies helped prevent millions of deaths early in the pandemic.
By the way, here's what the vice dean of Johns Hopkins School of Public Health had to say: "The working paper is not a peer-reviewed scientific study, and its authors are not medical or public health researchers," Joshua Sharfstein, vice dean of the Johns Hopkins Bloomberg School of Public Health, told PolitiFact in an emailed statement. "To reach their conclusion that ‘lockdowns’ had a small effect on mortality, the authors redefined the term ‘lockdown’ and disregarded many peer-reviewed studies. The working paper did not include new data, and serious questions have already been raised about its methodology. COVID-19 is caused by SARS-CoV-2, a respiratory virus transmitted between people. Reducing transmission of the virus leads to fewer cases, hospitalizations, and deaths. Early in the pandemic, when so little was known about COVID-19, stay-at-home policies kept the virus from infecting people and saved many lives."
Bill Hanage, a professor of epidemiology at Harvard said that the questions of whether lockdowns reduce death is in itself not sensible. "The whole premise of it is wrong, because given enough time and no vaccines, if the virus infects enough people, they will die. These interventions are designed to try and mitigate that so that they don't all get sick at the same time, so it’s completely mistaken."
https://www.politifact.com/article/2022 ... -19-death/
Medpage Today gets a very high rating from Media Bias Fact Check on Factual Reporting and High Credibility. "Medpage Today is an online medical news service provider geared toward health professionals. Medpage Today has sections covering numerous specialties such as cardiology, dermatology, orthopedics, etc. The website covers stories on health care policy, clinical research, general health, medical news, and scientific breakthroughs. Further, all articles are sourced from either peer-reviewed studies or credible media outlets such as The Atlantic and Reuters. They do not produce op-eds, however, they do cover politics as it relates to healthcare such as this COVID Relief Bill Contains Lots of Healthcare Provisions. In general, political coverage is low biased and all information is factual."
Here's what Medpage Today has to say about the study:
"Questions also have been raised about the quality of the included studies. Of the 34 papers ultimately selected, 12 were "working papers" rather than peer-reviewed science. And 14 studies were conducted by economists rather than public health or medical experts, according to Forbes.
Meyerowitz-Katz highlighted his concerns with the paper's inclusion criteria, as it doesn't include "modelled counterfactuals...the most common method used in infectious disease assessments" which excludes "most epidemiological research from the review," he tweeted. He added that the "included studies certainly aren't representative of research as a whole on lockdowns -- not even close. Many of the most robust papers on the impact of lockdowns are, by definition, excluded."
"All of this adds up to a very weird review paper," he tweeted. "The authors exclude many of the most rigorous studies, including those that are the entire basis for their meta-analysis in the first place. ... They then take a number of papers, most of which found that restrictive NPIs had a benefit on mortality, and derive some mathematical estimate from the regression coefficients indicating less benefit than the papers suggest. All of this together means that the actual numbers produced in the review are largely uninterpretable," he tweeted."
https://www.medpagetoday.com/special-re ... b_o&trw=no
While Fox News ran several stories about how the mainstream media ignored this survey, they didn't produce a single bit of evidence or other source to support the survey. Neither did the Wall Street Journal or the Washington Times.
This isn't a case of Report A reaching one conclusion and Report B reaching another. This is a case of Reports B, C, D, E, and dozens of others reaching the opposite conclusion. And contrary to what Flock has to say, one of the authors of the study, Steve Hanke, has a questionable record at best in regard to impartiality.
There's plenty, plenty, plenty more like this out there. And while these sources have no shortage of experts and evidence to back them up, the three authors of the "Johns Hopkins" report seem to be alone.