Baseline feature now live on https://www.Mortality.watch!
> Calculated baseline length of pre-2020 data 3y+ based on backtested lowest RMSE for each country/type.
> Baseline is shown as dashed line.
> Area around baseline displays 99.9% prediction interval.
https://www.mortality.watch/
@USMortality
> Calculated baseline length of pre-2020 data 3y+ based on backtested lowest RMSE for each country/type.
> Baseline is shown as dashed line.
> Area around baseline displays 99.9% prediction interval.
https://www.mortality.watch/
@USMortality
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I've just added the ability to show cumulative excess mortality.
It's as clear cut as it gets, Sweden won!
https://www.mortality.watch/?q=%7B%22c%22%3A%5B%22Sweden%22%2C%22Germany%22%5D%2C%22cs%22%3A0%2C%22ct%22%3A5%2C%22t%22%3A11%2C%22df%22%3A%222017+Jan%22%2C%22dt%22%3A%222022+Dec%22%2C%22m%22%3A0%2C%22pi%22%3A0%7D
@USMortality
It's as clear cut as it gets, Sweden won!
https://www.mortality.watch/?q=%7B%22c%22%3A%5B%22Sweden%22%2C%22Germany%22%5D%2C%22cs%22%3A0%2C%22ct%22%3A5%2C%22t%22%3A11%2C%22df%22%3A%222017+Jan%22%2C%22dt%22%3A%222022+Dec%22%2C%22m%22%3A0%2C%22pi%22%3A0%7D
@USMortality
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Final proof for the #iatrogensis?
The curves of midazolam injections match excess mortality in the UK 1:1!
@USMortality
The curves of midazolam injections match excess mortality in the UK 1:1!
@USMortality
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🔥 HUGE Substack now available on the English England All-Cause mortality data by vaccination status!
@USMortality
https://usmortality.substack.com/p/englands-all-cause-mortality-data
@USMortality
https://usmortality.substack.com/p/englands-all-cause-mortality-data
All-Cause Mortality Monitoring - USMortality.com
England's All-Cause Mortality Data by Vaccination Status
A brief analysis of the updated ONS English All-Cause Mortality Data by vaccination status.
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🔥 BREAKING 🚨 - UK ONS All-Cause Mortality Data for England Reveals:
‼️ The vaccine has never significantly protected the vulnerable 70+ from death!
‼️ The vaccine seems to lead to more deaths in 2022+!
#COVID19 #Covid #AllCause #ONS #DiedSuddendly #Corona #Coronavirus @USMortality
Read the full analysis - for free - on my substack:
https://usmortality.substack.com/p/covid-19-vaccine-efficacy-against
‼️ The vaccine has never significantly protected the vulnerable 70+ from death!
‼️ The vaccine seems to lead to more deaths in 2022+!
#COVID19 #Covid #AllCause #ONS #DiedSuddendly #Corona #Coronavirus @USMortality
Read the full analysis - for free - on my substack:
https://usmortality.substack.com/p/covid-19-vaccine-efficacy-against
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‼️Just published Round #2 of in-depth analysis of the UK ONS all-cause data by vaccination status for England!
Read my Substack for free here: https://usmortality.substack.com/p/round-2-of-ons-all-cause-mortality
Read my Substack for free here: https://usmortality.substack.com/p/round-2-of-ons-all-cause-mortality
All-Cause Mortality Monitoring - USMortality.com
Round #2 of ONS All-Cause Mortality Data Analysis
Today, I have analyzed the UK ONS All-Cause Mortality data for England in two additional dimensions. If you haven’t read my first article, please check it out here. First I looked at all-cause mortality by vaccination status & sex, and secondly by age group…
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This is how UK's statistics office (ONS) calculates vaccine efficacy!
Unbelievable. #FakeScience
@USMortality
Unbelievable. #FakeScience
@USMortality
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PSA: There have been many spammers/scammers using my name to reach out to followers of this channel. Please be aware. I will never send any direct messages to you. Especially asking for money or any other contributions, offers or solicitations.
Please stay safe!
Please stay safe!
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In my latest article: "SARS-CoV-2 Genome Assembly (Part 2)" I follow up on the result of my article from six months ago, and why I think my findings from back then, are still valid today.
https://usmortality.substack.com/p/sars-cov-2-genome-assembly-part-2
https://usmortality.substack.com/p/sars-cov-2-genome-assembly-part-2
USMortality
SARS-CoV-2 Genome Assembly (Part 2)
An update to my post from six months ago.
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🔥 How Accurate is the COVID-19 PCR Test Really? 🦠
Wu et al. 2020 published three versions of the SARS-CoV-2 genome sequence. It is assumed, that based on these sequences, Christian Drosten designed the first PCR protocol for COVID-19.
— A deep dive into Christian Drosten's COVID-19 PCR Primers... —
> Eight of ten SARS-CoV-2 PCR primers (Corman-Drosten et al 2020) are found in the SARS-CoV-2 genome.
> All primers, by themselves, show at least a two third match to the human genome.
> The primer “N_Sarbeco_R” shows a match of 19/20 base pairs to the human genome.
> The real world impact of these results remain unclear, but many open questions arise!
Whole story for free on my substack:
https://usmortality.substack.com/p/how-accurate-is-the-covid-19-pcr
@USMortality
Wu et al. 2020 published three versions of the SARS-CoV-2 genome sequence. It is assumed, that based on these sequences, Christian Drosten designed the first PCR protocol for COVID-19.
— A deep dive into Christian Drosten's COVID-19 PCR Primers... —
> Eight of ten SARS-CoV-2 PCR primers (Corman-Drosten et al 2020) are found in the SARS-CoV-2 genome.
> All primers, by themselves, show at least a two third match to the human genome.
> The primer “N_Sarbeco_R” shows a match of 19/20 base pairs to the human genome.
> The real world impact of these results remain unclear, but many open questions arise!
Whole story for free on my substack:
https://usmortality.substack.com/p/how-accurate-is-the-covid-19-pcr
@USMortality
MortalityWatch (USMortality)
How Accurate is the COVID-19 PCR Test Really?
A deep dive into Christian Drosten's COVID-19 PCR Primers...
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🔥US President Biden finally ends the COVID-19 emergency!
Long overdue - as it should have been ended in June 2020 - after it was clear that this is essentially the flu.
https://www.whitehouse.gov/briefing-room/legislation/2023/04/10/bill-signed-h-j-res-7/
Free Full Article: https://blog.usmortality.com/p/us-ends-covid-19-emergency
@USMortality
Long overdue - as it should have been ended in June 2020 - after it was clear that this is essentially the flu.
https://www.whitehouse.gov/briefing-room/legislation/2023/04/10/bill-signed-h-j-res-7/
Free Full Article: https://blog.usmortality.com/p/us-ends-covid-19-emergency
@USMortality
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🔥 BIG UPDATE 🔥 to Mortality.Watch is now live!
Major Changes:
> Complete rewrite in @vuejs - hence overall better usability and maintainability.
> Light & Dark Theme Support
> Excess Mortality as Percentage
➡️ https://www.mortality.watch
Feel free to support by subscribing to my Twitter (twitter.com/usmortality) or Substack (blog.usmortality.com)!
Major Changes:
> Complete rewrite in @vuejs - hence overall better usability and maintainability.
> Light & Dark Theme Support
> Excess Mortality as Percentage
➡️ https://www.mortality.watch
Feel free to support by subscribing to my Twitter (twitter.com/usmortality) or Substack (blog.usmortality.com)!
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BREAKING: US ends COVID-19 Unvaccinated Travel Ban! The White House just announced, that they will end the unscientific and inhumane travel ban on May 11, 2023!
@USMortality
https://usmortality.substack.com/p/breaking-us-ends-covid-19-unvaccinated
@USMortality
https://usmortality.substack.com/p/breaking-us-ends-covid-19-unvaccinated
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🔥 NEW updates today for mortality.watch
➡️ Add new Mid-year (July 1- June 30) time frame
➡️ Add different ASMR standard tables (WHO2015, ESP2013, US2000, Country2020)
➡️ Unified Country list, that shows data availability inline (Deaths | CMR, ASMR)
➡️ Fixed a bug where incomplete aggregate ASMR data was shown.
🙏 If you like my work, please consider subscribing to my Twitter or Substack. Thanks!
💡If you have ideas or feature requests, please vote and submit them here: https://mortalitywatch.canny.io/feature-requests
➡️ Add new Mid-year (July 1- June 30) time frame
➡️ Add different ASMR standard tables (WHO2015, ESP2013, US2000, Country2020)
➡️ Unified Country list, that shows data availability inline (Deaths | CMR, ASMR)
➡️ Fixed a bug where incomplete aggregate ASMR data was shown.
🙏 If you like my work, please consider subscribing to my Twitter or Substack. Thanks!
💡If you have ideas or feature requests, please vote and submit them here: https://mortalitywatch.canny.io/feature-requests
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🧬 Is the SARS-CoV-2 Genome Valid?
A closer look at the first genetic reads mapping.
Aligning the original reads that are published by Wu et al. 2020 to the SARS-CoV-2 reference genome yields a coverage of 99.993%. However, a closer look at the alignments, specifically for the head & tail of the novel genome, reveals that none of the original reads match sufficiently enough to establish certainty about the validity of the reference genome.
While the theoretical assembly via De Bruijn graph algorithm appears to be valid - for a novel genome, the edges should be specifically important. One might certainly expect, to find reads, that perfectly map to the head (and tail) of the genome - imagine it similar to an edge piece of a puzzle!
Hence, if we look at the individual reads, I would expect to find many reads, that align perfectly to the edges of the reference genome (MN908947.3).
But that's not the case!
At the minimum it should be shown, that:
1) At least 10–20 reads that show a perfect alignment to the head & the tail.
2) A complete genetic sequence (RNA) of ~30kb length exists in the sample.
To my knowledge, neither of these two conditions have been fulfilled, to this date.
I could not find any compelling evidence, that the SARS-CoV-2 reference genome is valid, specifically when looking at the head & tail alignments.
Read the full article for free:
https://usmortality.substack.com/p/is-the-sars-cov-2-genome-valid?utm_source=telegram&sd=pf
A closer look at the first genetic reads mapping.
Aligning the original reads that are published by Wu et al. 2020 to the SARS-CoV-2 reference genome yields a coverage of 99.993%. However, a closer look at the alignments, specifically for the head & tail of the novel genome, reveals that none of the original reads match sufficiently enough to establish certainty about the validity of the reference genome.
While the theoretical assembly via De Bruijn graph algorithm appears to be valid - for a novel genome, the edges should be specifically important. One might certainly expect, to find reads, that perfectly map to the head (and tail) of the genome - imagine it similar to an edge piece of a puzzle!
Hence, if we look at the individual reads, I would expect to find many reads, that align perfectly to the edges of the reference genome (MN908947.3).
But that's not the case!
At the minimum it should be shown, that:
1) At least 10–20 reads that show a perfect alignment to the head & the tail.
2) A complete genetic sequence (RNA) of ~30kb length exists in the sample.
To my knowledge, neither of these two conditions have been fulfilled, to this date.
I could not find any compelling evidence, that the SARS-CoV-2 reference genome is valid, specifically when looking at the head & tail alignments.
Read the full article for free:
https://usmortality.substack.com/p/is-the-sars-cov-2-genome-valid?utm_source=telegram&sd=pf
MortalityWatch (USMortality)
Is the SARS-CoV-2 Genome Valid?
A closer look at the first genetic reads mapping.
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Why the Ends of the Genome are Important
Discovering what we can learn from simulating shotgun sequencing
Summary: We can see that using 100 reference genomes, and an error rate of 1%, we end up with about ~15 perfectly aligned reads against the head and the tail (and a general coverage of 24). This means if an entire genome was present in the sample, we should be able to find reads that perfectly align against that novel genome.
Megahit did assemble the head and the ‘body’ of the genome entirely, but struggled with the (polyA)-tail. This could be due to the average read length of 100bp, but the tail just has 34x A's, so it remains unclear why Megahit is not able to entirely assemble the genome.
Channel: @USMortality
Full article: https://usmortality.substack.com/p/why-the-ends
Discovering what we can learn from simulating shotgun sequencing
Summary: We can see that using 100 reference genomes, and an error rate of 1%, we end up with about ~15 perfectly aligned reads against the head and the tail (and a general coverage of 24). This means if an entire genome was present in the sample, we should be able to find reads that perfectly align against that novel genome.
Megahit did assemble the head and the ‘body’ of the genome entirely, but struggled with the (polyA)-tail. This could be due to the average read length of 100bp, but the tail just has 34x A's, so it remains unclear why Megahit is not able to entirely assemble the genome.
Channel: @USMortality
Full article: https://usmortality.substack.com/p/why-the-ends
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