According to the CDC's page on the safety of J&J vaccines, the reported efficacy rate of the vaccine is a staggeringly low 66.3%.

That said, the government is still promoting and touting the J&J vaccine as a reliable and effective way to protect oneself against the effects of the COVID-19 virus.

In a report published just yesterday, the CDC published an official study on 32,867 COVID vaccinated people and found numbers that closely matched those of the clinical trials mentioned above, in that Moderna is 95% effective at preventing hospitalization, followed by Pfizer at 80% and J&J at 60%.

So if the numbers are correct, why is J&J still touted as an effective protection against COVID-19 still? 60% isn't exactly the greatest confidence booster -- that's almost at the level of a coin flip. How can the J&J vaccine shot be effective against COVID-19 if it only has a ~60% efficacy rate? Pfizer/BioNTech and Moderna's vaccines offer a much more solid guarantee, but 60% for J&J?

How can 60% be considered effective?

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    This is a more suitable Q to ask on medicalsciences.stackexchange.com/questions Your're not really disputing any data/figures, just quibbling with how the CDC phrases their findings. I'd also add that efficacy for mRNA vaccines seems to drop faster over time compared to the AD-vectored ones, from other recent studies (including some by the CDC), see e.g. medicalsciences.stackexchange.com/questions/28894/…
    – Fizz
    Sep 11 at 6:59
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    You really need to distinguish effectiveness against infection and against serious illness/hospitalization and death. Those are very different numbers, there is not a single effectiveness number for the vaccines
    – Mad Scientist
    Sep 11 at 8:11
  • Also, here's a tiny spread model I made. Extremely simple but it still suggests how a 65% resistance translates to massive gains in overall sick. Oct 18 at 11:12

60% isn't exactly the greatest confidence booster -- that's almost at the level of a coin flip.

That's actually not quite so.

So, for example, let’s imagine a vaccine with a proven efficacy of 80%. This means that – out of the people in the clinical trial – those who received the vaccine were at a 80% lower risk of developing disease than the group who received the placebo. This is calculated by comparing the number of cases of disease in the vaccinated group versus the placebo group. An efficacy of 80% does not mean that 20% of the vaccinated group will become ill.

it does mean that in a vaccinated population, 80% fewer people will contract the disease when they come in contact with the virus

VE (vaccine efficacy) is calculated as (ARU - ARV) / ARU, where ARU and ARV are the attack rates among unvaccinated and vaccinated groups, respectively.

If the ARU is say 0.7, i.e. without a vaccine you get ill 70% "of the time" (more correctly 70% of the population would--something like this was estimated early in the pandemic) then a VE of 0.6 means that that ARV is just 0.28, i.e. only a bit more than a quarter of the vaccinated would get infected. And that's much better than a coin flip. So ARV, which is really what you want to compare with the coin flip, really depends both on the ARU and VE.

Also, the VE numbers you're talking about concern hospitalization... and the ARU for that is pretty far from a coin flip to begin with--something like 5% (based on an infection hospitalization rate of 7% among the infected, and assuming 70% of the pop gets infected). So, in this latter case, comparing two numbers (ARU, ARV) that are far from a coin flip... with a coin flip is not exactly insightful. ARV would be 0.02 in this case, i.e. your "hospitalization chance" drops from 5% to 2% when vaccinated, under these assumptions. That may not look like much (absolute) difference for individual protection, but it does mean needing less than half as many hospital beds etc.

Somewhat o/t, but in a 3rd world country (that can't afford mRNA vaccines) even the J&J vaccine could make quite a difference as anyone needing hospital care and not getting it at all is fairly likely to die; see what shortages of oxygen have caused in such counties.

And hospitalization isn't the only thing worth considering. Deaths were not considered in that CDC study you're quoting from, but the J&J vaccine seems to do better in that regard:

in early August, a clinical trial that followed nearly 500,000 health care workers in South Africa found that the J&J vaccine was 71% effective against hospitalization and 95% effective against death due to the delta variant.

I'm not going to comment on how the CDC chooses to phrase their findings when comparing vaccines, but I'll just add that efficiency at single point in time is not the whole story.

By the way, there's a study based on a multiple-choice question in a sample from the general public that finds that the concept/measure of VE is highly unintuitive: only 3% of those questioned picked the correct definition; 64% confused it with (1-ARV) i.e. the percentage of individuals who do not develop Covid-19 among those vaccinated.

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    @HagenvonEitzen: but not being vaccinated has 100% chance in that conditioned case. So it's not clear why the coin flip is the relevant comparison. You could say that it goes from a "sure thing" to something like a coin flip (even in that conditioned case), but even that's an improvement. I mean, you do have a point, but it's coin-flip vs 100%.
    – Fizz
    Sep 12 at 11:29
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    @LangLаngС: In how far does your comment contain suggestions to improve this answer?
    – Schmuddi
    Oct 18 at 14:12
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    @Schmuddi 1. I'd suggest to ditch the theoretical calculations, they're irrelevant ('infections' are no end point, the attack rates and percentages dystopian fantasy) 2. I'd suggest to use the actual trial data (although they're all prematurely abandoned, not least by destroying the control groups) 3. to hilight these limitations 4. to compare with observational results waning from marginal start 5. to introduce ARR & NNTT/NNTV for comparison, those are required for interpretation, always // In this way you may be able to see how neither Pfizer nor J&J can deliver what is promised. Oct 18 at 14:26
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    @LangLаngС: like it or not VE is the measure used in reporting such results. If it's a "fantasy" to you, fine, go ahead and revolutionize the field. Note that VE is just a relative risk ratio, fundamentally, so it's not that unusual/different from what's reported elsewhere in medicine, although there are indeed debates whether one should accompany relative risk measures by absolute ones.
    – Fizz
    Oct 18 at 14:43
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    @LangLаngС: What do (marginal) p-values (Gøtzsche's paper concerns in particular papers reporting p-values between 0.04 and 0.06) have to do with VE? Please stop posting more and more tangential material under this answer. (Aside: I couldn't find the original J&J paper in pinch, but for their booster results, they give 95% CI for VE but not the much chastised p-value jnj.com/…
    – Fizz
    Oct 18 at 16:41

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