Sep 14, 2022Liked by NE - Naked Emperor Newsletter
I really want to know when colleges and universities are going to drop the vaccine mandate. I had to write a religious exemption request for my daughter who is a freshman at a catholic university - you have to answer six questions and get it notarized. They don’t make it easy! My son had to apply to renew his religious exemption. Apparently the one last year was only good for last year because science and because I guess his religious beliefs are going to change in just a year 🤬
Sep 14, 2022Liked by NE - Naked Emperor Newsletter
I’m unvaccinated and in my early 50s. I had Delta in June of 2021. My wife Pfizered 2x in Spring of 2021 did not catch Delta. However, in Jan of 2022 she caught Omnicron and it was like a bad flu. I slept next to her 4 nights before we knew it was Covid, and still lived in same house through her illness and caught nothing.
Your article is outstanding!!! Your conclusion "It looks as though vaccination has wiped out any natural immunity obtained from natural infection." is 100% on target.
The real question is WHAT ELSE DID THE mRNA VACCINATION WIPE OUT?
A hugely important topic that I also touched upon recently. Thank you for bringing it up.
Sep 14, 2022Liked by NE - Naked Emperor Newsletter
So I've seen the first study referenced a few times and based on my reading of the study I think we're extrapolating a bit too much from the data. Note that the first graph is a measure of different timeframes. That means that when you get infected determines which curve you go under. What that means is that, if you are infected during February 2022 or March 2022 you aren't going to go under the green curve- you'd be put under the blue curve. Because of this each curve has a cutoff point likely where the inflection point and the strange tapering off occurs, and this tapering off is likely due to there being no data points past that date. As such, it's very likely that we can't extrapolate any data past those inflection points, especially anything reaching negative because at that point you are two timeframes removed from the initial data collection point.
Figure B is weird because it measures based on time since 1st dose so that introduces another confounding variable (if we assume that 2 weeks post-2nd dose is when the vaccine works best). We also don't know time between infection and 1st dose, and we know that the time between reinfections and doses is critical (i.e. the longer the time between the two immunological events the "less protective" the immunity is to put it very loosely).
So I'm a little concerned that we are extracting too much from this study. Personally, I look at this study and I'm not sure what exactly I'm supposed to gather contrary to what the authors may insinuate from their results.
I went back to look at Figure A and my initial interpretations are wrong so disregard that. I mistook the curves for variants when they are for month since 1st dose. I think the whole 1st dose predicament is really confusing since it possibly introduces another variable.
Apologies for the incorrect interpretation. I'm trying to look at it a bit more but in all honesty I think someone would need to look at the predictive modeling based ont he regression equation in the Supplemental Material to see why the abrupt change.
Sep 14, 2022Liked by NE - Naked Emperor Newsletter
In Chart A of the first study, why aren't the lines smoother? Why do all four lines show an abrupt change in slope (roughly) a few months after peak effectiveness has been reached?
Is this explained by some unusual data artifact? Or, does the immune system behave like that?
So I'm looking at the data and I may make my own post soon. The tapering is likely due to the cutoffs of the curves since each curve measures different timeframes. Because of these cutoffs the predictive model doesn't have any data points past those inflection points and the curve sort of tapers off. This is my assumption, and what that means is that we probably shouldn't be extrapolating any data past those inflection points because at that point you are likely to move from one curve to the next (i.e. in February you'd be counted under the Omicron curve, not the Delta curve, and so no data on Delta infection post January 2022).
On giving it a second look, I misinterpreted Fig A since each curve is based on the month of vaccination rather than variant (which is C) so that changes the interpretation as there wouldn't a mix between the curves. However, the taper is weird. The comment for the figure gives this comment:
Panel A; each curve starts at the median date of the first dose
So in all honestly I can't quite make out what exactly is happening. I may owe the weird inflection to the differences in variants, but something tells me that this feels a bit like a result of sampling as well. I may look deeper into this but unfortunately I can't quite make out what's happening aside from my initial interpretations being incorrect.
Apologies for the confusion! Hopefully people can figure out more so there can be a clearer answer.
Sep 14, 2022Liked by NE - Naked Emperor Newsletter
Can one compare B and C graphs to understand impact of jabs on natural immunity?
Graph C: Previously infected unjabbed kids protection against reinfection, depending on the variant. Omicron appears to evade natural immunity best, with "protection' falling from 100% ti ~50% in about 5 months
Graph B: Previously infected jabbed kids (red line) shows just 70% protection at peak (4 weeks) falling below zero at about 5 months.
The worrisome for me is that finally SADS arrived near my family.
My father's 55 yo employee (female) just passed away last Saturday without any previous sign of anything. She asked a glass of water from the husband as she 'felt not good' and by the time he returned she passed away.
I really want to know when colleges and universities are going to drop the vaccine mandate. I had to write a religious exemption request for my daughter who is a freshman at a catholic university - you have to answer six questions and get it notarized. They don’t make it easy! My son had to apply to renew his religious exemption. Apparently the one last year was only good for last year because science and because I guess his religious beliefs are going to change in just a year 🤬
Are your exempt kids subjected to more ostracizing or draconian "rules" because they're deemed unclean?
Congrats on raising two children with enough brains to not just comply with this absolute madness.
Terrifying, but not unexpected! Thanks for posting and analyzing. Well done!
I’m unvaccinated and in my early 50s. I had Delta in June of 2021. My wife Pfizered 2x in Spring of 2021 did not catch Delta. However, in Jan of 2022 she caught Omnicron and it was like a bad flu. I slept next to her 4 nights before we knew it was Covid, and still lived in same house through her illness and caught nothing.
Well done! Thanks for making this information more accessible.
Your article is outstanding!!! Your conclusion "It looks as though vaccination has wiped out any natural immunity obtained from natural infection." is 100% on target.
The real question is WHAT ELSE DID THE mRNA VACCINATION WIPE OUT?
A hugely important topic that I also touched upon recently. Thank you for bringing it up.
So I've seen the first study referenced a few times and based on my reading of the study I think we're extrapolating a bit too much from the data. Note that the first graph is a measure of different timeframes. That means that when you get infected determines which curve you go under. What that means is that, if you are infected during February 2022 or March 2022 you aren't going to go under the green curve- you'd be put under the blue curve. Because of this each curve has a cutoff point likely where the inflection point and the strange tapering off occurs, and this tapering off is likely due to there being no data points past that date. As such, it's very likely that we can't extrapolate any data past those inflection points, especially anything reaching negative because at that point you are two timeframes removed from the initial data collection point.
Figure B is weird because it measures based on time since 1st dose so that introduces another confounding variable (if we assume that 2 weeks post-2nd dose is when the vaccine works best). We also don't know time between infection and 1st dose, and we know that the time between reinfections and doses is critical (i.e. the longer the time between the two immunological events the "less protective" the immunity is to put it very loosely).
So I'm a little concerned that we are extracting too much from this study. Personally, I look at this study and I'm not sure what exactly I'm supposed to gather contrary to what the authors may insinuate from their results.
I went back to look at Figure A and my initial interpretations are wrong so disregard that. I mistook the curves for variants when they are for month since 1st dose. I think the whole 1st dose predicament is really confusing since it possibly introduces another variable.
Apologies for the incorrect interpretation. I'm trying to look at it a bit more but in all honesty I think someone would need to look at the predictive modeling based ont he regression equation in the Supplemental Material to see why the abrupt change.
In Chart A of the first study, why aren't the lines smoother? Why do all four lines show an abrupt change in slope (roughly) a few months after peak effectiveness has been reached?
Is this explained by some unusual data artifact? Or, does the immune system behave like that?
So I'm looking at the data and I may make my own post soon. The tapering is likely due to the cutoffs of the curves since each curve measures different timeframes. Because of these cutoffs the predictive model doesn't have any data points past those inflection points and the curve sort of tapers off. This is my assumption, and what that means is that we probably shouldn't be extrapolating any data past those inflection points because at that point you are likely to move from one curve to the next (i.e. in February you'd be counted under the Omicron curve, not the Delta curve, and so no data on Delta infection post January 2022).
On giving it a second look, I misinterpreted Fig A since each curve is based on the month of vaccination rather than variant (which is C) so that changes the interpretation as there wouldn't a mix between the curves. However, the taper is weird. The comment for the figure gives this comment:
Panel A; each curve starts at the median date of the first dose
So in all honestly I can't quite make out what exactly is happening. I may owe the weird inflection to the differences in variants, but something tells me that this feels a bit like a result of sampling as well. I may look deeper into this but unfortunately I can't quite make out what's happening aside from my initial interpretations being incorrect.
Apologies for the confusion! Hopefully people can figure out more so there can be a clearer answer.
My article on the same topic got fact checked by AP
https://archive.ph/bplDz
Can one compare B and C graphs to understand impact of jabs on natural immunity?
Graph C: Previously infected unjabbed kids protection against reinfection, depending on the variant. Omicron appears to evade natural immunity best, with "protection' falling from 100% ti ~50% in about 5 months
Graph B: Previously infected jabbed kids (red line) shows just 70% protection at peak (4 weeks) falling below zero at about 5 months.
Are the graph B red line kids all variants??
It's not clear about graph B
The worrisome for me is that finally SADS arrived near my family.
My father's 55 yo employee (female) just passed away last Saturday without any previous sign of anything. She asked a glass of water from the husband as she 'felt not good' and by the time he returned she passed away.
Sorry to hear that sad news.
Wow, that's a horrifying story :( How awful for him and their family.
From Dr Shoemaker
Double jabbed children in UK 5200-8200% more likely to die
https://rumble.com/v1hl9y3-dr-shoemaker-double-jabbed-children-in-uk-5200-8200-more-likely-to-die.html?utm_source=substack&utm_medium=email
Most of the "studies"are GIGO.
The underlying assumption is that the injections are helpful, and not harmful. There is no acknowledgement or comparison to proper early treatment.
Children should not be used as substitutes for lab rats.
This is a great article, thank you. 💕👍🏽
And where is the link to the actual study? Why is it not included in the article? Bad policy
Yeah sorry about that. Thought I had linked to it. I've updated it now.
No need to jump to irrational conclusions.