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Growth · April 11, 2026

Risk-Cascade_Analyzer

See the domino chain before the first tile falls

What it does

Retro Cascade maps how small decisions chain into catastrophes — using Bayesian networks. Pick a scenario (fire, cyberattack, medical error…), set your conditions, and instantly see the probability of disaster — plus which single intervention cuts it most.

Does the same job

all alternatives →
  • TC
    The Cascade Graph – An interactive map of AI and energy constraintsJun 2026 · atomprophet.io · ▲26

    Hello, I wanted to share with you all a interactive map of the economics and physics constraints of the AI buildout. It has macro drivers, industrial chokepoints, and where that shows up in markets. I've added 393 nodes and 562 edges to capture other supply / physics constraints as well. There's no sign up, and no pay wall, it's all free. Please let me know what you think!

  • IS
    I simulated closing the Strait of Hormuz on real oil trade dataJul 2026 · globaloilnetwork.staffinganalytics.io · ▲244

    OP here: I created this visualization tool as the byproduct of a supply chain class I taught at Columbia. The pedagogical exercise grew into a full blown visualization and paper about global oil trade. The model: The mechanics are the same as the financial network Eisenberg-Noe: Instead of banks, every country consumes oil interconnected via bilateral trading. Shocks propagate throughout the network, depleting oil reserves when bottleneck nodes (such as the Strait of Hormuz) are blocked. Insights: The interesting part is the mechanics of how the crisis unfolds: for example, France receives 0…

  • Cascade.io2021 · ▲104

    Transform data and trigger actions, all without code

  • TT
    Text to 3D simulation on a map (does history pretty well)2025 · mused.com · ▲72

    Simulate anything on a map from a text prompt -- and conduct risk analysis against LiveUA map's global realtime data points from social media and news sources. I trained a GPT-2-size model on historical incident data used to predict things that will go wrong. As historian Benjamin Breen mentions, the leading language models are good historians, so the application will simulate historical events pretty well also. I include a Multi-Agent RL Urban Mobility model in progress displayed on the map as small white cubes representing traffic and pedestrians. Around SF, it uses real census data and…

  • RH
    Research Hacker News, ArXiv & Google with Hierarchical Bayesian ModelsOct 2025 · sturdystatistics.com · ▲85

    Hi Hacker News! I’m a Bayesian statistician that has been working on applying hierarchical mixture models (originally developed for genomics) to structure text data, and in the process, used these models to build (what started as a personal) tool for conducting literature reviews and deep research. My literature review process starts with a broad search to find a few key papers/groups, and from there expands along their citation networks. I needed to conduct a few rounds of literature reviews during the course of my research and decided to build a tool to facilitate this process. The…

  • EG
    Entropy-Guided Loop – How to make small models reason2025 · github.com · ▲33

    TLDR: A small, vendor-agnostic inference loop that turns token logprobs/perplexity/entropy into an extra pass and reasoning for LLMs. - Captures logprobs/top-k during generation, computes perplexity and token-level entropy. - Triggers at most one refine when simple thresholds fire; passes a compact “uncertainty report” (uncertain tokens + top-k alts + local context) back to the model. - In our tests on technical Q&A / math / code, a small model recovered much of “reasoning” quality at ~⅓ the cost while refining ~⅓ of outputs. I kept seeing “reasoning” models behave…

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