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A case of graphical correlations: Making sense of India’s COVID-19 surge

Updated: May 5, 2021 at 2:57 pm EST  See Comments

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May 5, 2021 (LifeSiteNews) – India is currently witnessing a COVID-19 surge of unprecedented proportions, with an allegedly triple-mutant strain stretching the nation’s healthcare infrastructure to the limits.  The uncertainty hanging over the nation is compounded by viral despatches of dead bodies piling up in morgues; of people dropping dead in the streets; of despondent souls jumping off their balconies; and of funeral pyres all over the country. There will be no public service-minded Big Tech censorship in this instance.  

This is supposedly Wuhan 2.0. Any social media addict would be forgiven for thinking that India’s population of 1.3 billion might suffer a dip before the year is out. 

Amidst the toxic miasma of fear-mongering, coherent explanations over this surge are hard to come by. Therefore, one needs to resort to correlations and proxies in order to gauge causations and effects. For starters, one should compare the yearly death tolls (from all causes) before and after the advent of COVID-19 in India, particularly for the year 2021. But relevant data will only be available a year from

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