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st4n13l t1_j2u4w3g wrote

>So, is it all a hyped way to look into “granular” data? Why is McKinsey focusing on something so obvious?

Obvious? Most reporting on life expectancy is done by country, so while it may be obvious to you, McKinsey is pointing out why it's important to account for variations at the microregion level and not just generalize at the country level.

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Hailifiknow OP t1_j2u7c79 wrote

Right. It just seems obvious to me. Shouldn’t all studies and reports reflect per capita relativity and not mere national boundaries or landmass? Who does that? I guess you’re saying a lot of studies do. I’m just not sure why McKinsey is stating something so fundamental as illuminating considering it’s readership. The graphs even try to illustrate this in blindingly simply ways. I just wandered if I’m misunderstanding, if they’re creating click-bait, or if most people really do get this wrong and it’s worth clarifying. You’d suggest the latter it sounds like. It’s just interesting.

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st4n13l t1_j2u8mf3 wrote

I don't think it's click-bait. I haven't seen clickbaity stuff from them before. Plenty of stuff that I thought others realized, but it's important not to assume that our understanding is what everyone else's understanding or level of knowledge is.

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jubilant-barter t1_j2ya5wh wrote

If you're doing science, you can't rely on "obvious" to be your answer.

You still need to test your assumptions. Sometimes common sense is just wrong. Besides, some of this may simply be the fact that granular data wasn't available before.

New techniques, broader availability of mobile devices and internet connectivity, it could be that the ability to break down granular data simply wasn't possible in a lot of countries.

And even further, what are the patterns which we can learn help people live longer, better lives? Is the divide exclusively rural vs urban or are there other considerations.

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