Orwell2024🏒 Profile picture
Nov 1, 2021 11 tweets 8 min read Read on X
1/ Expected rate of vaccinated in ICU.

(Correcting here the spotted mistake in the explanation part.)

Here is the formula explained. It depends on vaccination rate and vaccine efficiency.

The special case for 90% vaccinated is shown on the right as function of VE-ICU.
2/ For Austria and NL where 90% of the at risk group is vaccinated we expect 30%-50% of the ICU patients to be vaccinated if assuming a VE-ICU of ~90%.
3/ Let's show the results of the formula in 2D as function of

x) vaccination level
y) VE agains ICU

The resulting rate (calculation on right) of vaccinated in ICU is shown in the cell.

It can be used as look-up table to estimate (roughly) the VE.
4/ Example The Netherlands: With around 90% vaccinated we expect something between 15%-50% vaccinated in ICU depending on the VE-ICU.

RIVM reported around 15% (right). In order for this to work with 90% vaccinated, VE-ICU needs to be above 95%.
5/ VE look up example using UK PHE report week 43

assets.publishing.service.gov.uk/government/upl…

using the data from Table 5:

We look up the expected VE-emergency-care for 4 different age groups with different vaccination levels and resulting emergency care rates.

Result: VE ~ 96% in each case.
6/ Discussion: The relative number of vaxxed-patients in ICU is irrelevant (increasing with vax level).

Only the absolute total reduction of ICU patiens matters (shown below).

1-(𝑟_𝑣𝑎𝑥∙(1−𝑉𝐸_𝐼𝐶𝑈)+𝑟_𝑢𝑛𝑣𝑎𝑥)

Here we have >90% reduction! Nothing more to gain.
7/ Another way to look to the same data:

VE-ICU as function of % vaccinated in ICU. Each line for a different vaccination level.

public.tableau.com/app/profile/or…
8/ Use example: estimate VE-ICU based on latest numbers "percent vaccinated in ICU" from NL (from @BertMulderCWZ ).
9/ Here the link to the article by Prof. Suess in @KURIERat today
10/ Assuming March as the date where most elderly were fully vaccinated in NL, I compared the derived NL VE versus (time) with the Swedish study on waning efficiency.

Result assuming AUG ~ day 150.

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More from @orwell2022

May 13
1/ Let's revisit this result from AIRS satellite measurements over 17 years, showing a +0.36W increase in forcing alongside a 40 ppm rise in CO2 concentration.

Does this align with the "observed" (questionable) increase in global temperature anomaly (+0.6C)?

Let’s do a check.
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2/The IPCC reports a calculated CO2 forcing of +0.5W, as detailed on the NOAA AGGI page, which you can find here:



The SW calculation overestimates by 40% compared to the +0.36W derived by the AIRS satellite, marking the first significant discrepancy. gml.noaa.gov/aggi/aggi.html
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3/ Now we return to Happer's paper, showing that doubling CO2 from 400 --> 800 ppm results in +3W of forcing.


This is consistent with +3.5W reported by the NOAA AGGI (+3.5W).

arxiv.org/pdf/2006.03098

gml.noaa.gov/aggi/aggi.html

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Read 7 tweets
Apr 25
Imagine claiming the trial was correct, deploying it to 95% in NZ/AUT, and then—boom!—the incidence explodes instead of the virus being eliminated which should already happen at ~70% rate, and was calculated mathematically to happen based on that very promise. False. Study ➡️🚮
Moreover, mortality rises instead of falling. Who are these people still lying about its mortality effectiveness? It’s a failure, and rightfully, Pfizer's stock is plummeting. Keep grieving; won’t help. We want the money back. Those who wanted it can still buy it with own money.
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They think that they will get out of this? Desperation. Or did he just admit that everybody (including the CEO Fauci CDC…) were involved in deceptive advertising claims? I doubt that it is going to have a better outcome. Keep digging the hole 👍

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Read 4 tweets
Oct 9, 2023
1/ Important. ERA5 is a weather model, not a measurement. This summer field tests revealed: rural areas suffer heat bias due to urban heat pollution, making models/interpolations heat biased.

Here a demo that ERA5 is wrong on the tested location.

Truth ~24C. ✅
ERA5: 28C. ❌
Image
2/ This implies that all temperature aggregations in climate aggregations incorporate the heat bias prevalent in rural areas. This outcome is hardly surprising given that the majority of weather stations are situated in urban or airport environments.
3/ Code to create custom location ERA5 graph: based on:
github.com/planet-os/note…
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Read 23 tweets
Oct 1, 2023
Men are women.
Plants don’t need CO2.

Brought to us by the unscientific cult.

Try to grow water plants without adding CO2. Try to grow plants in a fully air sealed greenhouse. And biological men: get pregnant.



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They seem to rewrite history. Removing articles. 404 not found.
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They also changed the headline now. Added „for now“. Obviously it was not narrative compliant.

Before and after.
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Read 4 tweets
Sep 11, 2023
1/ Let's use the linear connection between Mortality and Life expectancy to illustrate the real implications of #netzero.

Energy scarcity will escalate mortality rates as there is no such thing as low energy consumption and high life expectancy.
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2/Context: When aiming to determine the Age-Standardized Mortality Rate (ASMR) rather than Life Expectancy (LE), we employ a straightforward relationship:

ASMR = 90 - LE
(valid for ESP2013 population)

However, for those who find it more relevant, we can maintain the LE-CO2 Image
3/ It's important to mention that money is an abstraction of promised future work (energy future). This is why the US dollar is linked to oil; US have grasped this concept.

Rather than $ inflation adjustments, you can express your wealth / income as tons CO2 (or MWh) instead.
Read 12 tweets
Sep 2, 2023
1/ Thanks to the Simpson’s paradox (alle age vaxx rates + all age excess) + spurious correlation (ecological fallacy), the Professor is resurfacing the manipulative fallacy from 2021.

Let’s demonstrate on pre-vaxx year 2020.
@MartinKulldorff
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2/ Just to highlight further: the vaccination rate in the age group 65+ where 99% of mortality comes from, is equivalent in almost all European countries and higher than 90%. Image
3/ He’s furthermore using the ecological fallacy, which we can use to make a time machine (called spurious correlation) and have the vaccine given 2021 working in 2019 or earlier.
Read 5 tweets

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