Breitbart Asks the Trillion-Dollar Question

“Why did your computer model vastly overestimate the number of hospitalizations that Chinavirus would cause?”

Actual Hospitalizations for Coronavirus Significantly Lower than Projections in Model

https://www.breitbart.com/politics/2020/04/03/actual-hospitalizations-for-coronavirus-significantly-lower-than-projections-in-model/

By Michael Patrick Leahy, 3 April 2020

The Institute of Health Metrics and Evaluation (IHME) model cited by White House Coronavirus Task Force officials appears to dramatically overstate the hospitalization of patients with coronavirus in the United States when the model’s projections are compared to actual data, a Breitbart News analysis finds.

Breitbart News compared projections of the number of regular hospital beds needed to treat coronavirus patients made in the Friday, April 3 iteration of the IHME model for nine states to the actual number of cumulative hospitalizations (a number that includes current regular bed hospitalizations, current ICU hospitalizations, previously hospitalized and released patients, and previously hospitalized and deceased patients) reported by the respective health departments in those states as of Thursday, April 2.

The results showed that the actual number of cumulative hospitalizations as a percentage of regular hospital beds needed projected by the IHME model ranged from nine percent in Tennessee to 47 percent in Florida.

Even in New York State, the epicenter of the coronavirus pandemic, the actual number of cumulative hospitalizations as a percentage of regular hospital beds needed projected by the IHME model was only 37 percent.

These numbers, however, actually understate the degree to which the IHME model overestimates the number of hospital beds currently needed for coronavirus patients because the numerator–cumulative hospitalizations–includes data well in addition to the actual number of current regular hospital beds in use for coronavirus patients, since it also includes current ICU hospital beds in use for coronavirus patients as well as previously hospitalized coronavirus patients either released or deceased.

The Department of Public Health in Minnesota, for instance, reported as of April 2 that 46 out of the 156 reported cumulative hospitalizations in the state for coronavirus are patients currently in regular hospital beds, while 40 are patients in ICU hospital beds and 70 are formerly hospitalized patients who have been released or are deceased.

Over half. That alone is proof they’re cooking the books… intentionally including old or irrelevant data.

Here is a breakdown of the actual number of cumulative hospitalizations reported by these nine states as of April 2, as compared to the number of regular hospital beds projected for coronavirus patients in those states on April 2 by the IHME model:

Colorado: Cumulative hospitalizations of 710 divided by regular hospital bed projections of 3,141 = 23 percent.
Ohio: Cumulative hospitalizations of 802 divided by regular hospital bed projections of 2,436 = 33 percent
Tennessee: Cumulative hospitalizations of 263 divided by regular hospital bed projections of 2,741 = 9 percent
Texas: Cumulative hospitalizations of 196 divided by regular hospital bed projections of 1,968 = 10 percent
New York: Cumulative hospitalizations of 20,817 divided by regular hospital bed projections of 56,183 = 37 percent
Florida: Cumulative hospitalizations of 1,215 divided by regular hospital bed projections of 2,612 = 47 percent
Georgia: Cumulative hospitalizations of 1,158 divided by regular hospital bed projections of 3,089 = 37 percent
Iowa: Cumulative hospitalizations of 138 divided by regular hospital bed projections of 384 = 36 percent
Minnesota: Cumulative hospitalizations of 156 divided by regular hospital bed projections of 823 = 19 percent

Notably, the IHME model’s current projections of COVID-19 deaths as of April 2 is in line with the actual number of reported deaths on that date.

That is suspicious in a different way. Hospitalization predictions are wildly wrong while deaths, a subset of hospitalizations, are accurately predicted? Are we talking about completely separate models or is the most headline-catching statistic being doctored more heavily than an elderly, diabetic, Chinese owner of a bat cave?

We don’t even know if these are produced by separate models. The modeling code has reportedly not been released for public scrutiny.

Already I’ve heard from other sources that “deaths from COVID-19” are deaths of people who tested positive for it, not people who died as a result of it. This is important because most of the dead have additional problems from AIDS to brain tumors. If you have Chinavirus and die of cirrhosis of the liver then good news! Your liver was fine!

Caveat, there’s a lot of contradicting information out there. Which is a third reason to be vengefully suspicious, when the people whose job is to report on this are going out of their way to confuse the sense out of anybody listening to them.

Breitbart News provided this data to the media spokesperson for the Institute for Health Metrics and Evaluation on Friday and asked if they could explained why the IHME model’s projections of regular hospital beds needed is so badly off the mark from actual beds required for COVID-19 patients up to April 2 but has not yet received a response.

Don’t hold your breath, Breitbart, or you might die of COVID-19.

 

One thought on “Breitbart Asks the Trillion-Dollar Question

  1. As stated in previous post, this thing is the exact same model as ‘climate change’.

    Every time a hurricane rolls through Florida, it is going to be a Cat 5, landing on Miami and going all the way up to Charleston.
    Every time, some of the coastal cities get a little bit more rain for the week.

    Always display the worst-case scenario, hype it up, get the public and public servants all spun up. Wether or not it delivers is irrelevant: the news outlets get their viewership, and the local governments get their (financial) assistance. Everyone goes home and waits for the same script to play out next year.

    Liked by 3 people

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