Italian data used to shut down the world in spring 2020 shows that the excess deaths were not caused by the spread of a virus – Truth Unmuted

(by Rhoda Wilson | The Exposé) – There is growing evidence that the SARS-CoV-2 virus was in populations before the supposed start date of the “pandemic”. However, no excess deaths were reported… until the health emergency was declared.

There is extremely detailed daily death data available for Italy, probably the most granular data available anywhere in the world.

Assumptions derived from this data from Lombardy, Italy, including estimates of cases and death rates from infection, formed the basis of the Covid policies implemented in early 2020 first in the UK and thereafter they spread all over the world.

However, using this same data for the period February – May 2020, Jonathan Engler showed how the data shows that it is not about the spread of a virus, but about health policies, the administration of health care and social, which affected mortality rates in the region.

“These observations certainly raise questions that need to be answered about the causes of the high rates of excess deaths in the Lombardy region in the spring of 2020,” Engler wrote.

Below are excerpts from an article titled “Was the unprecedented spike in excess deaths in northern Italy in the spring of 2020 caused by the spread of a deadly new virus?” by Jonathan Engler published by PANDA Uncut.

By Jonathan Engler

As noted in several analyzes (see, for example, these papers reporting data from Italy, the US, the Congo, and Brazil), there is growing evidence of the virus’ previously largely unnoticed presence from the supposed date of the start of the pandemic and even from September 2019. In almost all articles reporting this data, the importance of no observable excess death seems to have been missed until the emergency is declared.

This counterfactual is worth considering: Imagine that there was no virus, but that for some other reason (anyone will do) governments decided to institute a series of measures including:

Telling people not to go to health care if they have a cough, fever, or other symptoms, both to “protect” health care and because any contact with health care is very likely to contract a deadly disease. Instruct healthcare workers to self-isolate if they (or, in some cases, someone in their household) tested positive for a particular illness, even if they are asymptomatic. Empty beds to prepare to be “overwhelmed”. Terrorize and isolate the elderly, especially those living in nursing homes, by denying them visits from relatives and reducing or eliminating personal visits from health and social care providers. Using all the machinery of the state plus all the social networks and legacy traditional media channels to promote an exaggerated narrative of fear directed at the public and poured onto healthcare workers, when it is well established that stress has several adverse health effects, including immunosuppression. . Massive overuse of a treatment (ventilation) without a solid evidence base, now known to be extremely harmful.

The implementation of these policies would lead to protests in the streets with people declaring that “thousands of people will surely die”, and they would undoubtedly have been right. It is inconceivable that these policies did not have significant associated mortality.

So it must surely be reasonable to assume that at least some of the deaths that occurred as a result of the cataclysmic changes in health care delivery, particularly of the frail and elderly, could have been caused by policy, more than a virus. The question is: what proportion were caused by these policy changes and what was the spread of a virus through the population?

The starting point for looking at this question is to ask: What is the evidence that the spread of a virus is the cause of the observed excess death curves? Can “diffusion” be measured and what would be the implications of the various findings?

A wildfire analogy

Imagine a forest fire starting in a corner of a dry forest, ignited perhaps by someone leaving a barbecue smoking around. It would start with a single, localized cluster of combustion, which would then grow and spread in tendrils until a slightly drier patch was found; then those areas would ignite, perhaps igniting nearby areas by direct contact. Every now and then a spark would fly or a dead, ignited branch would fall from a tree, igniting an area a little further away, and the process would continue there. After a while, the entire forest caught fire, but only for a while because it would soon burn, but with different areas going out at different times because the fires weren’t starting in those areas at the same time.

This would be what you would expect to see when a process is spawned from a point source. What you do NOT expect to see is the entire forest catching fire at the same time and all areas going out simultaneously. If this happened, most people would assume that something had happened that affected the entire area at the same time, and was not spread-dependent, perhaps a large destructive fireball from a nearby explosion.

A key point about this is that examining the scene after the event does little to determine the cause. They look similar in both scenarios: a burnt forest. You need to look at a time series, that is, how different areas were affected over time, to find conclusive evidence of the spread.

Lombardy looks like a spread of a virus?

[Keeping the forest fire analogy in mind] look again at the all-cause mortality curves in the 13 administrative areas (hereafter referred to as “provinces” or “administrative areas”) that make up the Lombardy region.

This is not at all what you would expect from the spread. A detailed analysis reveals that the excess death curves for Lodi appear to start around February 23rd and for all other areas this happens on or within a few days of March 1st.

But can this be proven more mathematically? Yes.

The feature we are seeing here is excess death, much better than counting deaths labeled as “covid deaths”. As noted in the Lombardy analysis, we are fortunate to have extremely detailed daily death data for Italy; in fact, this is probably the most granular data available anywhere in the world, showing daily deaths occurring in relatively small areas of Italy. Read the full article >

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