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Showing posts with the label Tamil nadu

Of Free Televisions and Outcomes - How We Miss the Woods for the Trees

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Erstwhile Chief Minister of Tamil Nadu, K. Karunanidhi, launching the free colour TV scheme in 2006 (source: Rediff ) Recently, a storm unleashed itself on Twitter, as a famous YouTuber came on a popular podcast and made a bizarre claim. Free television distribution, it seems, led to improvement in the outcomes of women. And that is good economics. While I don't watch things all the time, what caught my fancy was the defence of the absurdity since. One journal paper was quoted by the YouTuber in question, and was touted as proof of good economics also being associated with freebies. Again, I usually don't comment on freebies, because I think all freebies as a rule are bad. Freebies raise the cost of service across the economy, create greater entry barriers for the poor that they are supposed to serve, and eventually distract from actual welfare spending on such issues as healthcare and education. However, the absurdity on this was so high that I wanted to write for a change. On

Has There Been Callousness in Managing COVID During Elections? Looking at the Numbers

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Courtesy: India TV There has been a lot of criticism about the Election Commission's handling of the COVID pandemic. One would imply that the cases have exploded as a result of the electioneering in India. There is no logic behind this argument for a simple reason - this logic flies in the face of the fact that states like Maharashtra, Madhya Pradesh, Rajasthan, and Punjab should not have been facing any outbreaks of the kind that are reeling under, given there are no elections there. Even if one were to believe that logic, the numbers should have actually reflected the spike within a month's time. The reason behind the month's timeline is that the cases take at least a week to surface and another two to three weeks to be clear from the human system for the survivors and mildly affected people. Assuming that a person was affected within seven days of attending a rally or a roadshow, the numbers should start reflecting in the moving average.  When one takes up the data for t