The dictator's handbook

What Hacker News says

1. Joel_MckayMay 2026
   This book discuses why regimes are stable. Notably starving disconnected illiterate peoples rarely change things without military cooperation.

   "The Dictator's Handbook: Why Bad Behavior is Almost Always Good Politics" (Bruce Bueno de Mesquita, Alastair Smith)

   https://www.amazon.com/Dictators-Handbook-Behavior-Almost-Po...

   The CGP Grey youtube short is an entertaining summary of the books subjects:

   https://www.youtube.com/watch?v=rStL7niR7gs

   >in the form of voting.

   The current US representatives were voted into, out-of, and back into power.

   It is interesting, but will likely remain stable. =3

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2. muggermuchMar 2026
   * This brings us to a larger question - why did we build Soros?

   First, let's address the elephant in the room: we were inspired by George Soros' theory of reflexivity and how human tendencies affect markets more prominently than expected. Yes, there's a corny backronym [0]. No, this is not a political statement or endorsement of his views.

   Coming back to the main point, we (the founding team at Lookback Labs) have both spent a long time at the intersection of financial markets, technology, and machine learning. During that time, one key thing that kept bothering us [1] was simply this: when a geopolitical crisis breaks, an investor's actual problem is not really to find out "what is happening now" — it's more of "which scenario plays out, how likely is each one, and what do I buy, sell, or hedge under each? For how long?"

   There are a ton of existing tools and services that seek to answer the first question reasonably well (newsletters such as StratFor, publications such as Foreign Affairs and Foreign Policy, Bloomberg terminals for breaking news, etc.).

   None of these answer the other questions particularly deftly. Sure, one can engage with ChatGPT (or Claude if one prefers), and play through multiple scenarios. You will, of course, miss out on the grounded structural model that powers Soros' analysis, along with the simulations that serve up the relative probability estimates.

   Also, one of the worst things purely LLM-based ad hoc frameworks do is assume that countries are monolithic decision-making units from a game-theoretic perspective. This is hardly the case - "Iran" doesn't make choices, Mojtaba and the IRGC faction does. "China" doesn't decide, the Politburo Committee does. And so on.

   There are of course formal analytical frameworks that dig deeper, studying groups, factions, organizations that are jostling to gain control (Bruce Bueno de Mesquita's Expected Utility Model and selectorate theory [2] is the most academically serious and is a prime inspiration for our system design), but they are extraordinarily hard to operationalize in real time, and produce no market implications.

   To sum up, the choices are stark: ask AI and hope for the best, or build out your own systematic framework to organize evidence, assumptions, and implications. We chose the latter path.

   Zooming out, our mission at Lookback Labs (https://www.lookbacklabs.com/) is to build "the intelligence layer for AI-native investing"; accordingly, Soros is the first of several agentic systems that we are designing across the systematic and discretionary spaces, that are both usable and useful from the get go, and not merely demo eye candy.

   * Some minor details:

   (1) We are currently in private beta for Soros and are onboarding selectively.

   (2) The static demo is not completely static; you can still chat with the analysis (up to 20 messages a day per IP).

   (3) We are still working on pricing: something that captures the value Soros provides.

   (4) We want this to work for individual investors as well, not just institutional desks, and would love to price accordingly.

   We're curious to hear what the HN community thinks about our approach. AUA!

   Feel free to reach out offline if you'd like! We are, sadly enough, on LinkedIn, but are also available via email (anshuman/karen@lookbacklabs.com)

   PS: As is probably obvious to the diligent reader :), every token in this post has been lovingly handcrafted by the Lookback Labs team.

   [0] Scenario-Oriented Reasoner for Opportunity Synthesis. Lol.

   [1] Many things bothered us. Buy us drinks, get stories.

   [2] We heartily recommend two of BdM's books: "Predicting Politics" and "The Dictator's Handbook"

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3. Joel_MckayJan 2026
   Borrowing state money that ultimately indentures a country with over-engineered massive boondoggle projects.

   That regulatory capture con strangled more emerging economies than most like to admit. =3

   "The Dictator's Handbook: Why Bad Behavior is Almost Always Good Politics" (Bruce Bueno de Mesquita, Alastair Smith)

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4. Joel_MckayOct 2025
   "The Rules for Rulers"

   https://www.youtube.com/watch?v=rStL7niR7gs

   "The Dictator's Handbook: Why Bad Behavior is Almost Always Good Politics" (2022, Bruce Bueno de Mesquita, Alastair Smith)

   https://www.amazon.com/Dictators-Handbook-Behavior-Almost-Po...

   Both publications cover the politics of most firms with stakeholders. =3

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5. blagieMay 2025
   A major goal of policy is to set incentives to which people optimize.

   The "capitalist soul sucking robber barons" are doing exactly what the incentives we set up push for. If they didn't, boards of directors / shareholders would vote them out. And if those didn't, competing businesses would crush them. No one has any real choice; it's the free hand of the market.

   There are nice books about this (Dictator's Handbook comes to mind).

   Many would prefer to be less exploitative personally, but need legal frameworks to be able to do so. And indeed, in history, you often saw the "capitalist soul sucking robber barons" see the harms they were causing and push for that regulation. Most people would prefer to provide safe food, safe medicine, etc. than sell poison and snakeoil. But you can't really resist market forces.

   So you need to work to set up socially-constructive market forces.

   And it's all better than serfdom and 1500-era systems regardless.

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6. dbl000Apr 2025
   The Complete Yes Minister, a novelization of the TV show, but probably more approachable. A kind of "high brow" skewering of politics and government. There's a lot of interplay between politicians and civil servants that mirrors some play between politicians and people, especially in the case of "systemic lag".

   Erasure by Percival Everett. A book on racial conformity and expectations. A weird case where the movie (American Fiction) might be better than the book. Pretty easy and quick read however. I don't know what it was but this book has stuck with me ever since I've read it.

   The Code Book by Simon Singh. This is the book that got me into cryptography. It's a bit old and outdated now (published in 1999) but it was responsible for forming a lifelong interest in me.

   Arriving Today: From Factory to Front Door by Christopher Mims. The premise was supposed to be tracking a product from production to consumer, but then the COVID happened. The book turns into an exploration of how just in time production and supply lanes work today.

   The Dictator's Handbook by Bruce Bueno de Mesquita. I had a professor who was friends with BBM, so when we were discussing selectorate theory we actually got to meet him. At it's core this is a cynical book about realpolitik, talking about how leaders get in power, stay in power, get money and foreign aid, and deal with revolutions and war. It is very political focused but the theory can be abstracted out to most big organizations. It fundamentally changed the way I look at interactions between countries. This is 100% a more mass market appeal book than the original paper (and imo a bit dumbed down) but everyone I've recommended it to has come back appreciative about it.

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