Perspective : Look Up Your Risk of Dying of COVID-19

“Of all tyrannies, a tyranny sincerely
exercised for the good of its victims
may be the most oppressive.”
– C. S. Lewis

“The urge to save humanity is almost always a
false-front for the urge to rule it.”
– H.L. Mencken

“The whole aim of practical politics is to keep the populace alarmed (and hence clamorous to be led to safety) by menacing it with an endless series of hobgoblins,all of them imaginary.”
– H.L. Mencken

When the 24-hour mainstream media ‘news’ cycle is intentionally geared to keep you fixated through mechanisms of fear, hysteria and alarm it is perhaps beneficial to be grounded, often, by good old fashioned hard data.

CDC and Stanford University data demonstrating the actual risk of death by Covid may be one way to help defend against the merciless attack on reason, sanity and calm by Covid-19 power-hungry politicians and compliant mainstream media.

Some much needed perspective here via Rational Ground :

(US Covid-19 data via CDC / Stanford)

Perspective: Look Up Your Risk of Dying of COVID-19

Get some perspective folks. Our good friend Phil Kerpen has updated the COVID-19 mortality tables by age – specific age actually! So look up your own risk between you and your peers below.

  • First, find your age on the chart on column #1.
  • Second column: how many people your age have died of COVID-19 since January 2020
  • Third column: the number of people in the U.S. who are that age.
  • Fourth column: the % of the people that age who have died of COVID.


If you’re 49 there have been 3,965 49-yr-olds who have died of COVID-19. There are over 4.3 million 49-yr-olds olds – which means that 0.085% of 49 year olds have died of COVID. As I always note, if you are over the age of 65 strongly consider getting vaccinated as there is acute risk to you. Under the age of 45 there is a near zero statistical risk of mortality. Otherwise – your choice but stay informed!

You might also choose to look up how many people your age have died of ANYTHING since January 2020 and how that gives you perspective on COVID-19 deaths.

Lastly, consider the types of deaths which occur at these ratios. We’ve mapped these to mortality risks provided by insurance companies for comparison.

And of course we provide some perspective on age comparisons. The median age of death of a COVID-19 victim is about 80 years old. The risk tables show that for every 20 years below 80 your risk decreases by 10x. So if you are 60 your risk is 10x lower than that of an 80 year old. If you are 40 your risk is 100x lower and if you are 20 your risk is 1000x (ONE THOUSAND!) times lower than an 80 year old.

Rational Ground – Clear Reasoning on National Policy for COVID-19 » Perspective: Look Up Your Risk of Dying of COVID-19

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Related :


COVID-19 : A Shocking New Study Emerges

“Of all tyrannies, a tyranny sincerely
exercised for the good of its victims
may be the most oppressive.”
C. S. Lewis

“The urge to save humanity is almost always a
false-front for the urge to rule it.”
H.L. Mencken

Covid-19, targets a very specific sub-set of the population. In fact, 99.9% of anyone under the age of 90, without severe underlying health conditions, survives. 

An overdue article out of the hard-left, fear-porn-loving Atlantic, bells-the-cat on another high level hoax that came out of the ‘pandemic’, in order for you to submit and comply — “hospitalisations.”

Why is The Atlantic publishing this? Because they need to show history (what will be left of it) that they knew, ‘before anyone’, that Covid-19 was used, maliciously, by the MainstreamMedia, inept politicians and useful idiots, as a tool of fear and panic to wrought (“Build Back Better”) ‘change’.

Change in their own image. Not in yours, or, by yours.

Read on …

via The Atlantic :

(Climatism bolds)

Our Most Reliable Pandemic Number Is Losing Meaning

A new study suggests that almost half of those hospitalized with COVID-19 have mild or asymptomatic cases.By David Zweig

At least 12,000 Americans have already died from COVID-19 this month, as the country inches through its latest surge in cases. But another worrying statistic is often cited to depict the dangers of this moment: The number of patients hospitalized with COVID-19 in the United States right now is as high as it has been since the beginning of February. It’s even worse in certain places: Some states, including Arkansas and Oregon, recently saw their COVID hospitalizations rise to higher levels than at any prior stage of the pandemic. But how much do those latter figures really tell us?

From the start, COVID hospitalizations have served as a vital metric for tracking the risks posed by the disease. Last winter, this magazine described it as “the most reliable pandemic number,” while Vox quoted the cardiologist Eric Topol as saying that it’s “the best indicator of where we are.” On the one hand, death counts offer finality, but they’re a lagging signal and don’t account for people who suffered from significant illness but survived. Case counts, on the other hand, depend on which and how many people happen to get tested. Presumably, hospitalization numbers provide a more stable and reliable gauge of the pandemic’s true toll, in terms of severe disease. But a new, nationwide study of hospitalization records, released as a preprint today (and not yet formally peer reviewed), suggests that the meaning of this gauge can easily be misinterpreted—and that it has been shifting over time.

If you want to make sense of the number of COVID hospitalizations at any given time, you need to know how sick each patient actually is. Until now, that’s been almost impossible to suss out. The federal government requires hospitals to report every patient who tests positive for COVID, yet the overall tallies of COVID hospitalizations, made available on various state and federal dashboards and widely reported on by the media, do not differentiate based on severity of illness. Some patients need extensive medical intervention, such as getting intubated. Others require supplemental oxygen or administration of the steroid dexamethasone. But there are many COVID patients in the hospital with fairly mild symptoms, too, who have been admitted for further observation on account of their comorbidities, or because they reported feeling short of breath. Another portion of the patients in this tally are in the hospital for something unrelated to COVID, and discovered that they were infected only because they were tested upon admission. How many patients fall into each category has been a topic of much speculation. In August, researchers from Harvard Medical School, Tufts Medical Center, and the Veterans Affairs Healthcare System decided to find out.

Researchers have tried to get at similar questions before. For two separate studies published in May, doctors in California read through several hundred charts of pediatric patients, one by one, to figure out why, exactly, each COVID-positive child had been admitted to the hospital. Did they need treatment for COVID, or was there some other reason for admission, like cancer treatment or a psychiatric episode, and the COVID diagnosis was merely incidental? According to the researchers, 40 to 45 percent of the hospitalizations that they examined were for patients in the latter group.

The authors of the paper out this week took a different tack to answer a similar question, this time for adults. Instead of meticulously looking at why a few hundred patients were admitted to a pair of hospitals, they analyzed the electronic records for nearly 50,000 COVID hospital admissions at the more than 100 VA hospitals across the country. Then they checked to see whether each patient required supplemental oxygen or had a blood oxygen level below 94 percent. (The latter criterion is based on the National Institutes of Health definition of “severe COVID.”) If either of these conditions was met, the authors classified that patient as having moderate to severe disease; otherwise, the case was considered mild or asymptomatic.

The study found that from March 2020 through early January 2021—before vaccination was widespread, and before the Delta variant had arrived—the proportion of patients with mild or asymptomatic disease was 36 percent. From mid-January through the end of June 2021, however, that number rose to 48 percent. In other words, the study suggests that roughly half of all the hospitalized patients showing up on COVID-data dashboards in 2021 may have been admitted for another reason entirely, or had only a mild presentation of disease.

This increase was even bigger for vaccinated hospital patients, of whom 57 percent had mild or asymptomatic disease. But unvaccinated patients have also been showing up with less severe symptoms, on average, than earlier in the pandemic: The study found that 45 percent of their cases were mild or asymptomatic since January 21. According to Shira Doron, an infectious-disease physician and hospital epidemiologist at Tufts Medical Center, in Boston, and one of the study’s co-authors, the latter finding may be explained by the fact that unvaccinated patients in the vaccine era tend to be a younger cohort who are less vulnerable to COVID and may be more likely to have been infected in the past.

Among the limitations of the study is that patients in the VA system are not representative of the U.S. population as a whole, as they include few women and no children. (Still, the new findings echo those from the two pediatric-admissions studies.) Also, like many medical centers, the VA has a policy to test every inpatient for COVID, but this is not a universal practice. Lastly, most of the data—even from the patients admitted in 2021—derive from the phase of the pandemic before Delta became widespread, and it’s possible that the ratios have changed in recent months. The study did run through June 30, however, when the Delta wave was about to break, and it did not find that the proportion of patients with moderate to severe respiratory distress was trending upward at the end of the observation period.

The idea behind the study and what it investigates is important, says Graham Snyder, the medical director of infection prevention and hospital epidemiology at the University of Pittsburgh Medical Center, though he told me that it would benefit from a little more detail and nuance beyond oxygenation status. But Daniel Griffin, an infectious-disease specialist at Columbia University, told me that using other metrics for severity of illness, such as intensive-care admissions, presents different limitations. For one thing, different hospitals use different criteria for admitting patients to the ICU.

One of the important implications of the study, these experts say, is that the introduction of vaccines strongly correlates with a greater share of COVID hospital patients having mild or asymptomatic disease. “It’s underreported how well the vaccine makes your life better, how much less sick you are likely to be, and less sick even if hospitalized,” Snyder said. “That’s the gem in this study.”

“People ask me, ‘Why am I getting vaccinated if I just end up in the hospital anyway?’” Griffin said. “But I say, ‘You’ll end up leaving the hospital.’” He explained that some COVID patients are in for “soft” hospitalizations, where they need only minimal treatment and leave relatively quickly; others may be on the antiviral drug remdesivir for five days, or with a tube down their throat. One of the values of this study, he said, is that it helps the public understand this distinction—and the fact that not all COVID hospitalizations are the same.

But the study also demonstrates that hospitalization rates for COVID, as cited by journalists and policy makers, can be misleading, if not considered carefully. Clearly many patients right now are seriously ill. We also know that overcrowding of hospitals by COVID patients with even mild illness can have negative implications for patients in need of other care. At the same time, this study suggests that COVID hospitalization tallies can’t be taken as a simple measure of the prevalence of severe or even moderate disease, because they might inflate the true numbers by a factor of two. “As we look to shift from cases to hospitalizations as a metric to drive policy and assess level of risk to a community or state or country,” Doron told me, referring to decisions about school closures, business restrictions, mask requirements, and so on, “we should refine the definition of hospitalization. Those patients who are there with rather than from COVID don’t belong in the metric.”

The Atlantic’s COVID-19 coverage is supported by grants from the Chan Zuckerberg Initiative and the Robert Wood Johnson Foundation.
David Zweig is a writer based in New York. He is the author of the nonfiction book Invisibles and the novel Swimming Inside the Sun.

Related :


COVID1984 : No More Recorded Influenza Cases In Australia

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COVID1984 – get TRUMP – November 3rd


“Of all tyrannies a tyranny sincerely
exercised for the good of its victims
may be the most oppressive.

C. S. Lewis

The whole aim of practical politics is to keep the populace alarmed
 (and hence clamorous to be led to safety)
 by menacing it with an endless series of hobgoblins,
all of them imaginary.”
H.L. Mencken

***

MUST READ analysis, by a concerned citizen (aka voter), of what’s really going on in the Orwellian world of COVID-19 and the politics of statistics.

via Cairns News :

No more recorded influenza cases in Australia

 

Letter to the Editor

Government lies, damn lies and statistics

Victorian Population – 6,359,000

  • COVID tests conducted – 1,633,900
  • COVID cases – 11,557
  • Positive cases to Victorian population – 0.18%
  • Positive Case to Test Conducted Percentage – 0.70%
  • COVID Deaths – 123
  • Positive COVID Case Death rate – 1.06%
  • COVID deaths to tests conducted – 0.0075% (read that again…)
  • COVID deaths to total Victorian population: 0.0019% (read that again…)
  • Median Age of COVID deaths: 82
  • Australia’s life expectancy at 2017: 82.50

There is a highly unusual occurrence in the 2020 influenza data. Based on the included charts , you will see there was a steadily increasing number of influenza cases at the start of 2020 that was almost in lockstep with the 2019 (record-breaking) influenza season. This was until March – at week 11 (when lockdown started), the influenza numbers across the country suddenly dropped off to almost zero at the same time as COVID numbers increased. The flu has remained at almost zero since (nearly 20 weeks later). Now, of course with lockdowns, increased sanitisation and social distancing, this would always reduce the spread of the flu in roughly equal proportion to the spread of COVID.

Climatism note :

KEEP in mind that the WHO states, “influenza can spread faster than COVID-19.”

IMG_6482

This Is Not About A Virus | Climatism

However (and here is where it gets mysterious), if the trigger for a large number of tests being conducted is people with “flu-like symptoms”, and 1.6 million COVID tests have been conducted with only 11.5k (0.7%) positive COVID cases, then by extension a reasonable portion of the 1.6 million tests should actually be the flu. Right?

Even if we took a rather conservative estimate of only 10% of tests conducted being the actual flu, this would still equate to a bit over 160,000 flu cases (or roughly half of last year’s national flu cases) – that is a lot. It is almost as if the existence of COVID and the flu are mutually exclusive. How is this possible?

Why is it that lab-confirmed influenza reporting has virtually stopped (not entirely but as close to stopped as you can get)?

Influenza has been an increasingly growing concern for the government and health departments over the past 3 or so years (with a record ~300,000 lab-confirmed influenza cases last year – nationally). It killed 902 people around the country, it appears to hit the vulnerable communities in just the same way COVID does.

So questions to be asked that the flu and COVID data raises

  1. How did influenza numbers almost immediately stop at lockdown and have virtually remain flatlined since – even mid-way into peak season and even during a COVID second wave?
  2. Why does it look as though COVID numbers have directly replaced flu numbers, yet the positive case to test ratio is still so low (0.70%)
  3. If COVID remained contagious despite the implemented controls, why has the flu’s contagion rate almost completely fallen to zero?
  4. Of all the people who showed “flu-like” symptoms but tested negative, why do they not show up on the flu data? If they had flu-like symptoms but not COVID, then what did they have?
  5. Why has flu reporting stopped, and what are the implications of not having continuity in flu reporting, [for] long term healthcare planning and management?
  6. Who stands to gain by not reporting the flu during COVID?
  7. What agendas are playing out on the absence of flu data as a reasonable and reliable baseline?
  8. If COVID cases are still occurring (second wave), should there not be an equal/corresponding spike in regular flu cases (in line with the symptomatic but negative COVID tests) from people moving around?
  9. If the flu has almost completely disappeared and has for the most part been replaced by COVID, will we ever be free of COVID? And further, if this is now the case, what is the acceptable target of COVID cases in circulation before we can get “back to normal”?
  10. If contact tracing and tracking the spread of a new virus that symptomatically looks like the flu is important, why would the flu not be tested at the same time as covid to map how the flu is transmitting and behaving alongside COVID?
  11. Is testing for flu not equally as important and responsible so people who test negative to covid but positive to the flu still operate safely in public?

Flu Data References
2020 Jan to Jul – https://www1.health.gov.au/internet/main/publishing.nsf/Content/cda-surveil-ozflu-flucurr.htm?fbclid=IwAR3yGuMtEjjH1xyCdY_W0M2en2ShnNJrmOwho5UYN3PIdxG0JSDAfzD50PU

2019 Data – https://www.worldometers.info/coronavirus/us-data/?fbclid=IwAR1myF727emKxZWc3yFi7gWfW_ILvToDV4sx2Gg3pQ1Aam0QzIQxhfbvFCw

We also need to know…

  1. How many people who tested positive for Covid had had the flu injection ?
  2. How many people who tested negative for Covid had had the flu injection?

from Brian Jones,

No more recorded influenza cases in Australia | Cairns News

(Climatism bolds)

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COVID1984 Related :

FOR the latest AU government information on COVID19 :

ANXIETY? Need to speak to someone?

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