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Steven weisz's avatar

Thank you for your well researched article. I think there is an important point that was missed:

Cold weather forces individuals to delay consumption and save for the future. The incentive structure completely changes or you die which is a self selection in itself. In warm climates with abundant food year round, there are strong physical demands but there is less thought required. In colder climates, the entire culture needs to be built around protecting yourself from the weather and saving food. This creates a culture that is more adept to the modern economy of specializing. That is the number one determinant of why warm countries are poorer.

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Kuntay Dogan's avatar

The way we frame a question already shapes the outcome.

By choosing indicators like per-capita income, crop yields, or mortality rates, the analysis locks itself into a particular worldview (that perhaps can be called modernist or reductionist) while sidelining other forms of richness (It's a bit like humans think humans are the most intelligent coz we define what intelligence is). Even leading economists (Stiglitz–Sen–Fitoussi, OECD) have shown that these indicators tell us little about actual human flourishing.

Temporality matters, let's don't flatten the history. We judge societies through today’s numbers, but modern urbanization (even the idea of nation-state) is only a few centuries old. Look instead at Egypt, Mesopotamia, or the Maya in their prime — all in hot or arid regions — and the neat story of geography falls apart.

And if we measured what has been lost — languages, ecological knowledge, indigenous ways of life — the conclusions would shift again. The same logic that celebrates “development, modernisation, or what need to be done to be wealthy ” also delivered mass extinction, cultural erasure, and looming planetary breakdown. That’s not a side effect; it’s baked into the categories we choose to explain why things are like that now.

Also, asking ChatGPT to validate the theory's uniqueness is a short circuit — LLMs tend to mirror assumptions in prompts rather than challenge them.

So the real problem isn’t the data points themselves, but the lack of reflection on the way we look at the world and explain things. Without that, any tidy theory risks reproducing the very mindset that got us here.

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