Ha! That brings back memories of school.
The old joke was that the rankings on the pole went:
Attending physician
Fellow
Senior resident
Intern
Nurse
Social worker
Unit clerk
Housekeeping
Cafeteria workers
Building maintenance workers
4th year students
3rd year students.
Animals
2nd year students
And if you wanted to get more specific, for attending physicians
CT surgery attending
Other surgical attending
GOD
medical attending
At a visit to the dentist yesterday, they did a "point the thingie at my forehead" temperature scan before they took me back.
Nice lady with scanner: "95.3. You're ok."
Me: "95.3? I'm dead."
I think they might want to check the calibration on their gadget. Or maybe my plan to slowly evolve to an unkillable zombie is actually working.
Oh, and almost half the masked administrative staff were wearing their masks below their noses.
Today I learned that I'm not actually capable of applying basic data analytics tools that have been in use for decades and the advent of the WWW makes real easy to apply. I actually have 'magical thinking', which is capable of changing the data and methodology of a study to align with my viewpoint.
Tomorrow I will apply this to yoga pants. They seem to be scarcer this spring. I blame the quarantines.
If 'You were right but you weren't really right because you weren't right for the right reasons' are the adults in the room I think I'm better off in the corner.
I am giving you a homework assignment.
Write a short (<500 word) description of how you applied "basic data analytics tools that have been in for decades and ... [are] real easy to apply" to analyze the dataset published in the Lancet article in question. Your explanation must include the following:
a) What data you examined, specifically, including a url for the source
b) How you examined it, specifically (what software you used, which analyses/transformations you performed and in what order, etc), including the product of your analysis. Let me know if if you do not have hosting for your output files, we can work something out.
c) The rationale behind for your analysis
d) A brief discussion which contrasts your findings with the those of the original authors
In fact, I'd even settle for you just telling me which "basic data analytics tools that have been in for decades" you are referring to. Can you do that? Or are you just talking straight out of your ass again?