The Public Health Officials Say “Trust Us.” The Data Says Otherwise.

I hate to be the bearer of bad news, Ben Shapiro, however feelings trump truths when it pertains to covid-19. This is thanks completely to the love triangle forged between the corporate press, government authorities, and tech giants whose ominous and divisive project of fear and censorship generated a response so virulent that society was overthrown in a matter of weeks for a virus with a 99 percent plus survival rate.

In no time whatsoever sacrificing for and protecting “public health”– costs be damned– became the primary end of mankind. Relegating oneself to a life of undoubted submission to lockdowns and mask mandates ended up being the best calling one might meet– at least up until the vaccine got here.

As our most essential human rights were stripped away, did any president, prime minister, guv, or mayor recommend that possibly “the people” have a vote to determine whether or not every aspect of their lives should undergo manipulation daily? Naturally not. As it turns out, your “sacred right to vote” may only be worked out so long as the ruling class permits. It appears that our only job in times of emergency situation is to wait for marching orders from those with political power.

What many ought to have concerned realize over this previous year and a half are two lamentable impulses of the average individual: (1) the skilled instinct, learned mostly in federal government schools, to revere and please those in positions of perceived authority and (2) the desire for security over liberty. Fused with modernity’s cushy standard of lives, these two characteristics allowed a series of uncomplicated goalpost shifts, beginning with “We’re all in this together!” to “3 jabs or weekly screening, else you and your household can starve.” Mind you, any person who forecasted far less severe policies in the early phases of the pandemic was immediately identified a conspiracy theorist.

At their core, these pandemic plans– lockdowns, curfews, capacity constraints, vaccine mandates, and more– relied heavily on a blind rely on the judgment elite’s public health pronouncements and our desire to act in a socially approved, conflict-free manner. However as it ends up, all of the big-picture covid data from the past eighteen months regarding lockdowns, and vaccine uptake completely implicate the judgment elite.

The Covid-19 Data We Required to Accept

There is no significant connection in between lockdown strength and covid-19 results.

Prior to 2020 lockdowns had never ever been suggested as a public health action, even for severe breathing break outs. Nevertheless, with a little bit of media-induced panic, public opinion, and a theistic respect for computer system modeling, it was rapidly accepted that these historically and clinically unprecedented public health procedures conserved lives. In turn, it was just agreed that more rigid lockdowns would be more efficient than weaker lockdowns.

All expenses and moral arguments aside, heavy suspicion toward lockdowns was validated as early as April 2020, when it was revealed that an area’s time to lock down made no impact on its death toll.

Fast-forward eleven months and we discover that data from March 1, 2020, to March 1, 2021, show that lockdowns were always a nonfactor in mitigating the spread of covid-19. The following information was divided into four three-month periods to better represent modifications in each country’s stringency index. The period of measurement was cut off on March 1, 2021, to leave out any substantial vaccine uptake. Due to the fact that Israel was the only nation in the following graph that had considerable complete vaccination rates entering into March 2021, it has actually been omitted from the last duration of measurement.

Source: Our World in Data COVID-19 dataset(stringency_index, total_cases_per_million, total_deaths_per_million).

Rather plainly, more stringent lockdowns, no matter population density– highlighted by the size of the dots– had no greater result on covid-19 outcomes than less stringent lockdowns. In truth, the minimal connection that does exist slopes in the opposite direction of what we have actually been trained to think about lockdowns.

Similar conclusions can be drawn about lockdowns in the United States. Due to data constraints on lockdown stringency, the list below state data is broken down into two periods: one much larger duration extending from March 1, 2020, to January 1, 2021, and a second duration extending from January 1, 2021, through March 1, 2021.

Source: Data on cases and deaths from Our World in Information COVID-19 dataset(total_cases_per_million, total_deaths_per_million); data on hospitalizations from HealthData.gov (COVID-19 Reported Patient Effect and Healthcare Facility Capacity by State Timeseries); data on stringency for January 2021– March 2021 from Adam McCann “States with the Least Coronavirus Constraints,” Wallethub, Apr. 6, 2021; and through Dec. 31, 2020, from Laura Hallas, Ariq Hatibie, Saptarshi Pyarali, and Thomas Hale, “Variations in United States States’ Responses to COVID-19” (BSG Working Paper Series BSG-WP-2020/ 034, version 2.0, University of Oxford, Oxford, UK, December 2020). Data on population density from World Population Review (United States States– Ranked by Population 2021).

Again, we discover no statistically considerable correlations between lockdown stringency and cases, deaths, or hospitalizations. Population density, again kept in mind by the size of the dots, was also a nonfactor.

Quite clearly, no matter the intensity, duration, or location of the lockdown mandated by government authorities, no breathing infection can be legislated away. The claims that lockdowns are some sort of life-saving public health step which the strength of an area’s lockdown is inversely related to covid-19 incidence is just not substantiated in the data.

Quickly I wish to note one glaring expense of lockdowns based upon current Centers for Illness Control and Prevention (CDC) approximates, specifically the unusually high level of drug overdoses that have actually continued because the first half of 2020.

Source: Data.CDC.org (Early Model-Based Provisional Quotes of Drug Overdose, Suicide, and Transportation-Related Deaths).

While there are much more expenses related to lockdowns than can be talked about in one article, it is important to understand that even if the lockdowns were costless, their inefficacy suffices to render them useless as a public health measure.

Medical facilities, on the whole, were never ever overrun.

While it is tempting to generalize based on a few severe cases that exist at the tail ends of a distribution, these cases are not agent of the entire. This temptation is succumbed to the majority of often when manufacturing panic about overrun and overcrowded health centers. While these stories are relatively unlimited, they are however statistical outliers. A short evaluation of United States hospitalization information confirms as much.

Source: HealthData.gov (COVID-19 Reported Client Effect and Medical Facility Capacity by State Timeseries).

From consuming business press headlines one might feel that practically every medical facility is running above or near one hundred percent capacity. As it ends up, inpatient bed usage– these are staffed inpatient beds that consist of all overflow and surge/expansion beds used for inpatients, including all ICU beds– across the United States has actually remained listed below 76 percent over the course of the pandemic while inpatient bed usage for covid-19 patients has never surpassed 15 percent. However, evaluating by the truth that the 2021 seasonal summer rise– which has already peaked– has actually gone beyond the 2020 seasonal summer season rise, these rates will likely be surpassed when the deadlier seasonal winter rise shows up in the coming months. Nevertheless, it would be simple speculation to recommend that medical facilities are going to surpass or reach nearly 100 percent capacity as winter season rolls around.

While 76 percent usage may appear high, former medical director James Allen explains that an 85 percent occupancy rate is typically considered to be optimum operating capacity. Allen says that having too little of a tenancy rate means that employees and resources are sitting idle, which can result in layoffs. On the other hand, a near– 100 percent occupancy rate would be excessive of a pressure on resources, leaving clients without care.

While there are definitely severe cases of healthcare facilities being pushed beyond capacity, the idea that United States hospitals, on average, have actually been operating at or beyond 100 percent capability is absolutely ludicrous.

Vaccine uptake is not preventing case growth.

The covid-19 vaccine simply might be the most hyped pharmaceutical product in medical history. Marketed to the world as nothing except international redemption, the vaccine was supposed to kickstart our return to normalcy. Despite this belief, the data recommend that increased vaccination rates are stopping working to slow the spread of covid-19.

Initially, let’s assess the following claim made by Anthony Fauci during a June 3 CNN interview: “When you’re listed below 50 percent of the people being vaccinated, that’s when you’re going to have a problem … With half vaccinated I feel relatively particular you’re not going to see the sort of rises we have actually seen in the past.” Mind you, if Fauci believed that half vaccination rates were going to halt surges, you can bet a majority of the nation felt the very same method.

Source: Information on cases from Our World in Information COVID-19 dataset(new_cases_smoothed_per_million); data on vaccination rates from Data.CDC.gov (COVID-19 Vaccinations in the United States Jurisdiction).

As you can see, simple weeks after half full vaccination rates had been achieved in twenty states, cases in each one of those states emerged. It comes as not a surprise that authorities are now calling for 70, 80, or 90 percent vaccination rates to get things under control.

Taking a look at the whole of the United States since March 1, 2021, there is no statistically substantial indication that states that have actually administered, typically, more vaccine dosages are faring any better than states that have actually administered fewer doses on average.

Source: Information on cases from Our World in Data COVID-19 dataset(total_cases_per_million); information on vaccination rates from Data.CDC.gov (COVID-19 Vaccinations in the United States Jurisdiction). Date variety is Mar. 1, 2021– Sept. 9, 2021.

Moving along to full vaccination rates, there is again no statistically considerable sign that states and countries with higher percentages of their population completely immunized are alleviating case development any better than states with lower percentages of their population totally vaccinated. As in the past, totally vaccinated rates are taken as approximately the previous six months.

Source: Information on cases from Our World in Data COVID-19 dataset(total_cases_per_million); data on vaccination rates from Data.CDC.gov (COVID-19 Vaccinations in the United States Jurisdiction). Date variety is Mar. 1, 2021– Sept. 9, 2021.
Source: Data on cases and vaccination from Our World in Information COVID-19 dataset(total_cases_per_million, people_fully_vaccinated). Date range is Mar. 1, 2021– Sept. 9, 2021.

In addition, a current vaccine surveillance report from the UK reveals that completely immunized people between the ages of forty and eighty are getting infected at higher rates than their unvaccinated counterparts. For those under forty and over eighty, infection rates among the vaccinated are lower than in the unvaccinated, however still significant.

Source: Public Health England, COVID-19 Vaccine Monitoring Report– Week 36(London: Public Health England, 2021).

If this isn’t enough to raise some eyebrows, there are plenty of circumstances of countries– just a few shown listed below– having actually experienced a rise in cases and even their greatest case levels of the pandemic amid ever-increasing rates of vaccination.

Source: Information on cases and vaccination from Our World in Information COVID-19 dataset(new_cases, people_fully_vaccinated).

Remember that the portion of individuals who have received a minimum of one dosage is greater than what’s shown above. So the assumption that just getting jabs out to people– not having to completely vaccinate them– was going to bring cases to a shrieking halt is also incredibly dubious.

Relating particularly to the month of August, we find that a variety of extremely vaccinated countries are experiencing worse total case numbers in the middle of the highly vaccinated summer of 2021 rather than the unvaccinated summer season of 2020.

Source: Data on cases and vaccination from Our World in Information COVID-19 dataset(total_cases_per_million, people_vaccinated).

How can it hold true that a 0 percent vaccinated country had far fewer cases last year than it did once 60, 70, or 80 percent of its population was totally vaccinated with what is professed to be an incredibly efficient vaccine? Why, despite these far even worse metrics, are we no longer seeing the rigorous lockdown measures like service closures, curfews, capability restrictions, or stay-at-home orders that specified the summer season of 2020? Collegiate and expert sports arenas that were empty simply one year earlier are now loaded to the brim; and little to no effort is being made to look for vaccination status or proof of negative test at eviction. Are we seriously expected to think that our politicians have any desire to protect the “public health” when they’re permitting their economies to operate with almost no mitigation procedures in place despite climbing up metrics? Possibly you are beginning to recognize that these “public health” procedures and the new vaccine mandates never had anything to do with your health.

Regardless of all the data we have on lockdowns, hospitalization patterns, and freshly emerging vaccination data, one can just marvel at how rely on the general public health system and judgment elite can continue any capacity.

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