SIG-FPT 2026-07-30

Session Recording Summary · 45m 33s · Full notes ↗

Reading: The session focused on the work of **Peter Turchin** and his program of "Cliodynamics" — the mathematical/quantitative modeling of history. Participants engaged with a short introductory text by Turchin (including material on his "Mirian/Myriad Empire model" of agrarian states vs. nomadic confederations) alongside a critical article invoking **Popper's** critique of historical prediction ("historicism"). The exact titles were not stated; participants referred to reading a PDF and a shorter critical article. This builds on a prior session (two weeks earlier) on "logics of history" and "eventful time."

The group examined whether history can be modeled and predicted mathematically the way physics or modern biology is. Most participants were sympathetic to Turchin's approach as a tool for *retrospective* historical analysis but skeptical of its *predictive* power, largely aligning with Popper's critique. Venkatesh developed an extended synthesis distinguishing "cyclical" phenomena (with underlying integrable quantities) from "eventful"/discontinuous phenomena, arguing the useful target is the *intersection* of the two — making focused "prophecies" rather than long-range trajectory forecasts. The conversation closed on the idea (from Florian, Aneesh, and Andre) of prophecies as remembered causal packages, and of mathematical modeling as valuable for taxonomy/mapping even if not predictive.

• **Sean:** Sympathetic to Turchin for historical analysis of the "contained" past, but finds Popper's argument compelling that prediction is hard — vaccines, technology, and human free will make history unlike a clock or machine. Noted the analogy to biology transforming (over ~200 years) from descriptive taxonomy into an experimental, hypothesis-testing science, which is what Turchin wants to do for history. Also flagged Turchin's own claim that *developing theories* (not gathering data) will be the hardest future task.
• **Kyle:** Endorsed Popper — history is not like physics because "the law of gravity" keeps changing; humanity reconfigures itself, technology reconfigures. "The past is not just a foreign country; sometimes it's a completely alien planet." Any analytical framework is vulnerable to a core assumption being negated. Cited "generals fight the last war" / going into the future looking through the rearview mirror.
• **Matthew:** Struck by the provocative "without mathematics we're doomed to vague statements and wrong conclusions" — thinks it needs a qualifier and only holds above a certain complexity threshold; curious how reasoning worked *before* formalized mathematics. Linked "prediction verified in the marketplace" to management thinking (couldn't recall the author). Raised the **blind spots** of Cliodynamics: indigenous/embodied ways of knowing it is inherently blind to, and the "empty space" of day-to-day "non-history" that rarely gets documented. Suggested the information environment increasingly leads the "atoms of the built environment," strengthening the case that ideas shape history.
• **Aneesh:** Amused that the critique disregards Lee/Larry Darwin. Argued we need someone like Turchin to attempt formalization even if wrong — a "stone soup" situation that mobilizes useful work. Key substantive point: humans see problems arriving on the horizon and *act to solve them* (e.g., food crises), so historical systems have an **active/adaptive element** — this differs from mere chaos. Feedback can't go back in time; it feeds back into an already-changed system. Used the potato/island example: population grew from a new food source but the economy didn't keep pace, producing externalities — the kind of causal dynamic a mathematical model could capture.
• **True cycles** exist and can be modeled with underlying physics/"integrable quantities": earthquakes (tectonic pressure builds and must release; e.g., the overdue Pacific Northwest quake, ~50% chance in a 50-year window) and **demographic cycles** (aging populations generate and absorb fewer ideas — e.g., Japan aging rapidly and not leading AI).
• **Eventful phenomena** (from the prior reading): revolutions, pandemics, tsunamis — self-contained, analyzable on their own terms, with a "billiard-ball impulse" impact.

Questions & Disagreements: - **Predictive validity:** Broad skepticism (Sean, Kyle, Chris) that Cliodynamics can predict the future, versus a more constructive stance (Aneesh, Florian, Andre, Venkatesh) that the enterprise is still valuable — for retrospective analysis, taxonomy/mapping, or learning from failed predictions. - **Does mathematics only help above a complexity threshold?** (Matthew) — an open qualifier on Turch

Participants: Venkatesh Rao, Aneesh Sathe, Sean Stevenson, Matthew McDowell-Sweet (UTC), Kyle Mathews, Florian Lohse (UTC+0), Chris R., Andre Comeau