world_mortality
ObservedDeathVisualizer
| world_mortality | ObservedDeathVisualizer | |
|---|---|---|
| 33 | 3 | |
| 277 | 3 | |
| - | - | |
| 7.9 | 0.0 | |
| 6 days ago | over 1 year ago | |
| Java | ||
| MIT License | MIT License |
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world_mortality
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The WHO admitted PCR tests yield false positives
Data is available for many countries on either a weekly or monthly basis: https://github.com/akarlinsky/world_mortality
- A Tasmanian funeral director is concerned about the 50% rise in funerals he is undertaking in the last 7 mnths. ‘The previous 10 and a quarter years were very very consistent. But this has been a rapid rise in the last 6 to 7 mnths’ Stats: 16.6% rise in excess deaths in Oz.
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Fact Check: COVID-19 is deadly because it's killed 6,135,405 people worldwide as of March 25th 2022 (World Health Organization). How the research reveals 'We were never in a Pandemic'.
Those are the official numbers (except for the IHME estimates in the USA Today article). They are collected here if you want to analyze it yourself.
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Countless deaths were wrongly blamed on covid
I got the data from the World Mortality Dataset, which got the UK statistics from the Short Term Mortality Fluctuations web site.
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Turkey scraps mask requirement; reveals 92% of "Covid deaths" "were diagnosed with other illnesses earlier." [DailySabah, Mar 02]
Or did you want the source for the numbers? If so: World Mortality Dataset
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Well, when you say it like that....
We have weekly or monthly data for all of those at least through the end of 2020, and most of them more current than that. To see the raw data (including earlier years for comparison), go to https://github.com/akarlinsky/world_mortality
- 34 muertes por COVID ayer
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Covid-19 may have killed nearly 3M in India, far more than official counts show
https://github.com/TheEconomist/covid-19-excess-deaths-track...
They get their data from the World Mortality Dataset (https://github.com/akarlinsky/world_mortality). They claim their modeled baselines fit a linear trend for year, to account for long-term increases or decreases in mortality, and a fixed effect for each week or month up to February 2020.
I haven't dug into the details of the methodology but it appears very sensible. Of course it's very dependent on overall mortality rates having been accurately reported to begin with.
If the Economist keeps this this chart going long enough, we should expect that in countries worst affected by covid, future mortality rates will fall below the expected baseline. The simple (if somewhat morbid) logic being that in those places the most vulnerable people will have already died.
- The pandemic would end overnight if people knew the true "danger" of the virus. See submission statement.
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The Economist tracks excess deaths
India doesn't feature in the table in their article. It is not represented in their sources, the World Mortality Database[0], or the Human Mortality Database[1]. Yet they somehow estimated that India had 2.3 million excess deaths. Based on what, exactly?
0. https://github.com/akarlinsky/world_mortality
1. https://www.mortality.org/
ObservedDeathVisualizer
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The Economist tracks excess deaths
Thank you. I did not imagine anyone would actually like the layout/UI. I have been looking for input on how to improve it.
The site itself is just handcoded HTML: https://github.com/mcculley/mcculley.github.io/blob/master/V...
The polar area diagrams are generated by Java code I wrote for this purpose: https://github.com/mcculley/ObservedDeathVisualizer
The bar charts and the line graph are generated by Datawrapper (https://app.datawrapper.de) using the CSVs exported by the aforementioned code.
- Visualizing Observed Deaths
What are some alternatives?
covid-19-excess-deaths-tracker - Source code and data for The Economist's covid-19 excess deaths tracker
covid-19-the-economist-global-excess-deaths-model - The Economist's model to estimate excess deaths to the covid-19 pandemic