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www.gov.uk/government/statistics/deaths-involving-covid-1...
Deaths involving COVID-19 by vaccination status, England: deaths occurring between 1 January 2021 and 31 May 2022
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United Kingdom Mortality Data by Age Group and Vaccination Status: Looking at Vaccine Effectiveness
12/08/2022 Gilbert Berdine, MD
Arguably the most important question facing the Centers for Disease Control and Prevention (CDC) is an explanation for the unexpected excess deaths in the United States during 2021 and 2022. These excess deaths are occurring at a time when covid prevalence in the US is very low. The CDC does not seem to be interested in explaining these deaths, so the public is filling the vacuum with their own theories. One theory is that the excess deaths are due to adverse effects of the covid vaccines. The CDC has mortality data stratified by vaccination status, but it refuses to release the data to the public. This refusal only reinforces theories that covid vaccines are the culprit. The United Kingdom, however, has released mortality data stratified by age group and vaccination status for January 2021 through May 2022, though it is unclear whether it will continue to update these data. There are many ways to present these data.
It is my opinion that the best way to test the hypothesis that covid vaccines are responsible for excess deaths is to compare unadjusted mortality rates for unvaccinated people to those of a composite of all partially and completely vaccinated people (people with intent to vaccinate completely). The UK data table organizes mortality for each age group using seven vaccination categories: unvaccinated; first vaccine dose less than twenty‑one days before death; first vaccine dose at least twenty‑one days before death; second vaccine dose less than twenty‑one days before death; second vaccine dose at least twenty‑one days before death; third vaccine dose or booster less than twenty‑one days before death; and third vaccine dose or booster at least twenty‑one days before death. Separation of data for each vaccination status introduces a bias in favor of vaccination, known as the immortal time bias.
For example, someone who dies following the first vaccine dose will not be represented in second or third vaccine dose data. The third vaccine dose data do not represent the general population, but only those people who have survived past the first and second vaccine doses. It is my opinion that this time bias was largely responsible for the mythology that covid is an epidemic of the unvaccinated. This mythology was created when the vaccine became available. Very few people had received the vaccine, and the vast majority of the population was unvaccinated, making true case rates difficult to estimate by counting people rolling into the ICU. This mythology persists among my colleagues and the administration at my institution despite having been thoroughly disproven.
The mortality rates in the data table are “adjusted” for age. I report unadjusted mortality rates, calculated by dividing the number of deaths by the person‑days and then multiplying by 100,000. The differences between unadjusted mortality and “adjusted” mortality are small and do not change any of the conclusions. But it is my opinion that rather than trying to “adjust” for age, we should analyze each age group separately to see how finely the age should be stratified to eliminate different patterns between age groups. I would have preferred the 18–39 age group to be further divided, but I have to work with the data available.
Figure 1 shatters the myth that the benefits of covid vaccines outweigh the costs for all age groups. The mortality rate for the 18–39 age group was greater in vaccinated subjects than unvaccinated subjects for several months during the period of study. The average difference in mortality from January 2021 to May 2022 showed a net harm from vaccination. But were the differences significant? It would be inappropriate to perform statistical tests such as a t‑test on these data because the statistical weight of each data point could not be equal: the data points represent aggregates of individual test subjects, and we have no information about the variance within each aggregate value.
On average, there was an additional death for roughly every twenty thousand vaccinations in the 18–39 age group. Although the best we can conclude from these data is that vaccination is associated with increased mortality in this age group, we cannot assert that vaccination caused the increase in mortality. It is possible that some unknown factor caused the increased mortality and that this factor was more prevalent in vaccinated subjects than unvaccinated subjects. However, this is the best we can do, given that the Food and Drug Administration (FDA) and CDC stopped the controlled trials after about three months. Thanks to government authorities, we will never have a properly controlled trial of the vaccines. The FDA and CDC should accept the blame for this uncertainty and admit that these vaccines are NOT safe and that they have known for over a year that these vaccines are not safe.
Figure 1 also suggests that any benefits vaccination may grant in terms of reduced deaths from covid decline over time. The trends during the final four months of the data series suggest that either mortality will be equal for the vaccinated and unvaccinated or mortality for the vaccinated will be greater due to adverse events occurring many months after vaccination.
Figure 2 demonstrates that there was net benefit from vaccination (reduced mortality) in subjects ages 60–69. In this age group, the vaccinated group demonstrated a lower mortality rate each month. Were the benefits significant? Just as with the data for the 18–39 age group, it would be inappropriate to perform statistical tests such as a t-teston these data. The greatest difference between the unvaccinated and vaccinated mortality rates was seen early in the data series, with the two curves converging during the latest months of the data series. It is unclear whether more recent months will continue to demonstrate a benefit from vaccination. Hopefully, the UK will continue to report data to the public.
The average benefit over the period of the study can be used to estimate how many vaccinations will prevent a death. In my opinion, this number represents a better indicator of clinical significance than odds ratios.
Table 1 illustrates that a recommendation of vaccination for people over ninety would be very reasonable, while such a recommendation for people ages 40–49 would be very questionable, especially since full vaccination seems to be a never-ending proposition. Note that a net benefit of the vaccine does not justify a mandate for vaccination, since death by covid and death by vaccine are not comparable, even though both are deaths. Individuals have different perceptions about these two forms of death.
My direct observation of patients demonstrates that some people are much more concerned about covid than about the vaccine, while others are much more concerned about the vaccine than about covid. The best that healthcare providers can do is to inform our patients about the risks of both choices and to let patients decide for themselves. Browbeating patients into vaccination is inexcusable, as the vaccines are objectively NOT safe.
Space does not permit a detailed discussion of the data for the other age groups, but some observations are of note. For instance, the 40–49 age group demonstrated a net harm from vaccination in March and April 2021 as well as in February, April, and May of 2022. Also, the over-ninety age group demonstrated a net harm from vaccination for March, April, and May 2022. The maximal benefit of vaccination was seen in different months for each age group, which likely reflects the progressive rollout of vaccination beginning with the oldest age group. All of the age groups demonstrated a convergence of mortality rates during the final months of the data series compared to earlier months.
Conclusion
The risks of the covid vaccines are often comparable to the risks of getting the disease itself. This is especially true for younger people. The principle of informed consent requires healthcare providers to inform patients of the objective risks of vaccination. Older patients are more likely to exhibit net benefit from vaccination. Vaccination should be offered but not recommended to patients under the age of forty.
Author:
Gilbert Berdine, MD
Gilbert Berdine is an associate professor of medicine at Texas Tech University Health Sciences Center and an affiliate of the Free Market Institute at Texas Tech University.
commonwealthmagazine.org/health-care/study-says-covid-vac...
Study says COVID vaccine mandates for university students causing ‘net harm’
Requirements should be repealed 'immediately,' say researchers, citing unfavorable benefit-to-risk data
This is what happens to your site traffic when Sam links to your homepage on his site (thanks!). I can only imagine the volume he's reaching.
Greetings from Texas!
At the beginning of the year I thought that I might reach 2M by the end of the year, but my job had become so intense that I took far fewer shots that normal, and I could not spend as much time as I used to on Flickr. Still 1.5M is amazing!
I have had 18 shots in Explore - well maybe 16 really, one shot was in Explore one day, dropped out then came back in the next day - another peeked in one day, then immediately popped back out (did not even register with the Big Huge Labs counter). :-)
The vast majority of my hits are internal to Flickr; my search engine count has dropped to a very few per day, so this is all down to you, my Flickr friends. Especially those of you who visit, comment and fave my shots so frequently (you know who you are!).
Thank you all! :-)
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Nice thought, but the visual is overdone. Seriously, it's ultimately very hard to read and impossible to search. Why is it in Flash? I don't get it.
Working with our partners, Medical Relief and Education International, we recently held a pediatric clinic and educational classes on children's health.
Over two and a half days we saw 616 children in the clinic and provided health education to 357 adults. This education focused on keeping children healthy and what to do if your child becomes ill.
Information provided included basic nutrition, common illnesses which can be treated at home, how to treat those illnesses, and how to recognise illnesses which could be life threatening and must be seen by a doctor.
Neither the clinic nor the classes would have been possible without the effort put in by the ambitious group of medical students and medical professionals who took it upon themselves to organise their trip to help Haiti.
Thanks so much to all those who gave either time, resources, or funding, with an extra special thank you to Nova Southeastern University for sending their highly capable medical students.
Read more about this project at www.edvolunteers.org/clinic-fond-de-negres-treats-more-60...
Photo credit: Lavender Tree Photography, carisalippmann.blogspot.com/
2026-05-29: Sidi Ould Tah, President of the African Development Bank shares a frame with Alvaro Nadal Belda, Executive Director AfDB; Dr Ludovic Ngatsé, Minister of Economy, Planning, Statistics and Forecasting of the Republic of the Congo during AM2026: Closing Ceremony.
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Line counts extracted from the Linux kernel v0.1 with cloc. The table is used in this interactive Linux timeline: www.linux-netbook.com/linux/timeline/
I find this (just slightly) remarkable. It's been MONTHS since I put up any photos on "Kennuth's"
(it was a protest against changes in the Flickr layout), and yet people are apparently still looking
at it. In fact, there've been two single-day view records set in October. Kennuth's topped
1000 views, for the first time, on the first of October. Then, on the 22nd, it hit an amazing
peak of 1706! Unfortunately, I have no idea as to how Ultrachool's is doing by comparison.
It's beyond me why Flickr can't offer full stats as an option for new accounts. I suspect a
lot of people might even be willing to pay a little extra for it.
Specification run down of the UTSM10 vehicle.
All images & information compiled & rendered by Jon O'Neill.
The Wistarion, p. 35, 1948, Archives & Special Collections, Hunter College Libraries, Hunter College of the City University of New York, New York City.
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28 years old and a college student. Gotta love technology and online education opportunities.
I'm at the tail end of my English Language & Literature degree and that means, Business Statistics.
If anyone can explain why I need to know Statistics to be a succesful English major, please do. This is the face of a girl that has been glancing at the enormous book and the list of 11 problems she has to do for hours. I suppose it's time to get to it. Happy Saturday Night to me! This is my life after all..
Day 1:365 done did-id!
A histogram I made of the racer's ages. More here: www.mybrainhurts.com/blog/2008/06/statstics-charts-and-r....