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Showing posts from May, 2026

The Numbers Were Real. So Was What They Hid.

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  Authoritarian systems do not just produce growth metrics. They also decide which human costs disappear inside them. The number that matters in authoritarian success stories is usually the one the system chose to measure. That sounds obvious. It also quietly changes the entire discussion. China reduced extreme poverty from 88% to under 2% between 1981 and 2019. More than 800 million people crossed the poverty threshold during that period. Once you sit with numbers at that scale long enough, something psychological starts happening to the analysis. The political structure producing the number begins to feel secondary to the number itself. The growth becomes the argument. Not because people consciously decide to ignore the cost. Most serious readers do acknowledge the cost. Tiananmen Square gets mentioned. Political repression gets mentioned. Censorship gets mentioned. Then the analysis moves upward again toward aggregate outcomes, as though the act of acknowledgment settled the ...

The India-Russia Oil Story Was a Product. You Were the Customer.

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  What the graphic was actually selling, and why 127 forwards was the whole point Nobody at that dinner table asked the one question that would have ended the conversation. Not "which OMC do you hold?" Not "what happened to the crack spread in Q3?" Just: "If India got the discount, why is petrol still ₹106?" Nobody asked it. And the silence around that unasked question is more interesting than anything the uncle said. What Actually Happened To The Discount Here is what actually happened with the Russia oil trade — the part that never made it into the graphic. Russian crude went from roughly 2% of India's imports to 36% over eighteen months. That shift was real. The discount at its peak was somewhere between eight and ten dollars per barrel. Private refiners — Reliance, Nayara — bought that crude, processed it, and sold the refined product into European markets at full market price. The arbitrage went into their margins and exited through their export t...

India Sector Analysis: Why Strong Demand Growth Does Not Guarantee Strong Investment Returns

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  India’s Growth Is Obvious. Where the Profits Land Isn’t. How supply chain bottlenecks, infrastructure constraints, regulatory control, and upstream positioning determine where profits actually concentrate across India’s fastest-growing sectors.   India is not short of demand. You can see it everywhere. EV adoption, hospital expansion, logistics volumes, pharma outsourcing. The numbers keep confirming the same story. But there’s a quieter pattern underneath. The companies benefiting the most are often not the ones getting the most attention. Why Capital Keeps Flowing to the Most Visible Layer If you look at how capital is flowing, it follows visibility. EV companies get upgraded. Logistics platforms get coverage. Hospital chains get premium valuations. It feels logical. Demand is rising, so the front-end businesses should win. That assumption works in some sectors. It breaks in more than people expect. India’s Industrial Growth Story Is Driving Massive Demand Across Multiple ...

Decoded: Nikhil Kamath Podcast | The Investor Who Doesn’t Predict

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Howard Marks on why surviving markets matters more than reading them Here is the contradiction worth sitting with. Howard Marks is one of the most cited investors in the world, largely because of his reputation for reading market cycles correctly. And yet in a long conversation with Nikhil Kamath, he spends considerable time arguing that prediction is not the edge. That the investors who survive across multiple market regimes — not just the favorable ones — are organized around a different question entirely. The contradiction is productive. Because if Marks is right, and the financial press is quoting him for the wrong reason, then most of the people citing him are drawing the wrong conclusion. What the prediction frame gets wrong Most portfolios are built around a single expected future. The investor decides what is most likely to happen, then positions accordingly. This feels like the rational approach. It is how forecasting language works, how research reports are structured, how ...