...
Here's the image from your video:
[img_ width=600]https://i.imgur.com/um15vvV.jpg[/img]
Kinda blurry, but weirdly for this sort of video, the chart does seem accurate. Source here with clearer charts and links to data:
https://ourworldindata.org/coronavirus/country/indiaSo the data are accurate. But is the conclusion accurate, that vaccination is causing the increase in cases? Well, no.
The reason the conclusion is flawed is because those two lines use different scales. Are cases increasing dramatically in India? Yes. Is vaccination increasing? Yes.
But vaccination is still at a very very low rate, and so is likely to have only a very small impact, and certainly not enough to prevent case numbers from surging. If the vaccination level were considerably higher, then we would expect case numbers to begin to fall - as indeed we see in the UK, where doses administered per 100 people is 75, compared with India's 11.
[img_ width=800]https://i.imgur.com/BLxKlHg.jpg[/img]
https://ourworldindata.org/grapher/covid-vaccination-doses-per-capita---
edit: I should add that spurious correlations are everywhere. But we often need to dig deeper to determine whether or not there is a causal relationship...
[img_ width=800]https://i.imgur.com/cwJFGH2.jpg[/img]
https://tylervigen.com/spurious-correlationsAt least you are making a feeble attempt to have an intelligent conversation about this.
I agree about the need to determine if there is a causal relationship, but I am unimpressed with the (very tired) strategy of pointing out that spurious correlations do exist in the real world sometimes. That observation is pretty much a 'no-shit' to anyone with a brain, and it seems to be reached for by people trying to desperately fight back against Occam's razor.
Granting your assertion of a 'very very low rate' for 'jabs' in India, I would point out that
if whatever is being jabbed there is particularly hard on the population it also
could (not '
does') help explain the chart features fairly convincingly even given the scales.
For myself, I believe two things to be very probably true 1) a large fraction of the population (in the 50% range most likely) have been infected with SARS-cov-2 over the past 15 months and have cleared it as typical of any coronavirus, and 2) once one has cleared the virus, re-infection with any naturally occurring derivative within the next few years is unlikely. These two 'very probablys' make me not anticipate a
sudden spike.
Now I myself have anticipated, and loudly and publicly so, that we WOULD see a '
sudden spike' because it would be the most effective way to get people to roll up their sleeves (or have them rolled up while pinned to the ground) even in light of increasingly evident damage being caused.
A good test of various hypotheses will be to analyze if the same spike and the same timing of record breaking 'cases' happen in multiple different countries. It will be amusing to see the contortions that certain 'experts' use to explain that one...if we see it of course...
Oh BTW, thanks for snapping the chart, uploading it, and for a decent assessment of it. For real.