Good work (again). Remember we posted about this last year and it only garnered a modicum of interest so I hope your rundown gains traction.
For clarity, in my view the *drop* in antibody titre isn't disturbing - it's normal. You can't just keep producing antibodies. HOWEVER... what was an absolute scam was selling to the world the unsubstantiated (and wrong) claim that flogging the body to produce more and more antibodies for an obsolete spike induced immunity (protection) from a virus. This was a lie.
Another lie was that the claim that you needed more doses to get those antibodies. All the additional doses do is flog the system, producing more antibodies and then immune tolerance. Hence the Cleveland paper.
Now you have a generation of people who are tolerant of the Wuhan spike. Who wants to make a real bioweapon? Just use the Wuhan spike again.
Thanks for the great work! I've been able to reproduce the same results fairly quickly using JMP, which can directly import SAS transport files (*.xpt). I'm also seeing very large same-day discrepancies in PARAM "COVID-19 S1 IgG (U/mL) - Luminex Immunoassay" for 20+ of the Phase 1 subjects, including the one you highlighted. Something is fishy with these data.
The overall distribution of IgG is skewed right with mean of 3600 and max of 60K. From https://www.ncbi.nlm.nih.gov/pmc/articles/PMC119915/: "The normal range of IgG for individuals 10 years and older is 768 to 1,632 mg/dl" and https://www.ncbi.nlm.nih.gov/pmc/articles/PMC2276914/ has a histogram. If I am doing unit conversion correctly, multiply this by 10 to get U/mL. The top three most discrepant same-day pairs are (6770, 16973), (6681,13394), and (6535, 9897), with the first number having a blank value of AVISIT. Are these feasible? The first one goes from below to above normal range.
"The ADVA file (132 Mo unzipped, 4.6 Mo zipped, converted to .CSV15) must be unzipped in your project folder, as well as the JSON extract from the ADSL file."
Good work (again). Remember we posted about this last year and it only garnered a modicum of interest so I hope your rundown gains traction.
For clarity, in my view the *drop* in antibody titre isn't disturbing - it's normal. You can't just keep producing antibodies. HOWEVER... what was an absolute scam was selling to the world the unsubstantiated (and wrong) claim that flogging the body to produce more and more antibodies for an obsolete spike induced immunity (protection) from a virus. This was a lie.
Another lie was that the claim that you needed more doses to get those antibodies. All the additional doses do is flog the system, producing more antibodies and then immune tolerance. Hence the Cleveland paper.
Now you have a generation of people who are tolerant of the Wuhan spike. Who wants to make a real bioweapon? Just use the Wuhan spike again.
Für Ihre Sicheheit.
Thanks for the great work! I've been able to reproduce the same results fairly quickly using JMP, which can directly import SAS transport files (*.xpt). I'm also seeing very large same-day discrepancies in PARAM "COVID-19 S1 IgG (U/mL) - Luminex Immunoassay" for 20+ of the Phase 1 subjects, including the one you highlighted. Something is fishy with these data.
How large are the IgG discrepancies? Duplicate analyses numbers meaningless if reported with string of numbers after the decimal point.
The overall distribution of IgG is skewed right with mean of 3600 and max of 60K. From https://www.ncbi.nlm.nih.gov/pmc/articles/PMC119915/: "The normal range of IgG for individuals 10 years and older is 768 to 1,632 mg/dl" and https://www.ncbi.nlm.nih.gov/pmc/articles/PMC2276914/ has a histogram. If I am doing unit conversion correctly, multiply this by 10 to get U/mL. The top three most discrepant same-day pairs are (6770, 16973), (6681,13394), and (6535, 9897), with the first number having a blank value of AVISIT. Are these feasible? The first one goes from below to above normal range.
Well that would have prompted a second duplicate analysis if I had been running the lab. I wonder if we can find a NATA lab or equivalent to comment?
Lovely work. Cross-posted. Nice to see it taking off on Twitter. Does Elon speak French?
"The ADVA file (132 Mo unzipped, 4.6 Mo zipped, converted to .CSV15) must be unzipped in your project folder, as well as the JSON extract from the ADSL file."
Mo or MB?
Measurement has been written with only the ADVA file inside & without the ADSL - my bad - Mo to adjust 😋