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Jefferson edited this page May 15, 2026 · 2 revisions

Street Math

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Located in street-math/. Ten screenplays that teach formal ISO 31010 risk assessment techniques through everyday street-level scenarios. Also hosted at street.riskrunners.com.

The Screenplays

# Technique ISO Section Scenario
1 Bow Tie Analysis B.4.2 A veteran bouncer explains preventative and reactive controls around a bar brawl
2 Decision Tree Analysis B.9.3 A street hustler maps decision nodes and expected values for a supplier payment
3 Monte Carlo Simulation B.5.10 A mechanic runs 100 mental simulations showing why a quick fix is an 86% failure bet
4 Game Theory B.9.4 Two roommates face the Prisoner's Dilemma when their landlord offers a snitch deal
5 LOPA B.4.4 A heist planner calculates probability of failure on demand for vault protection layers
6 Ishikawa (Fishbone) B.3.3 A food truck owner traces a ruined lunch rush through the 6Ms to find root causes
7 Pareto Charts B.8.4 A bartender teaches the 80/20 rule for revenue loss
8 Cross Impact Analysis B.6.2 A bookie explains how one injury shifts conditional probabilities across prop bets
9 Cost/Benefit Analysis B.9.2 A loan shark walks a borrower through NPV and a 1,160% effective annual rate
10 Markov Analysis B.5.9 A subway busker builds a transition matrix to optimize which train cars to play in

How to View

Open index.html in any browser. Each screenplay is a standalone HTML file — no server, no dependencies, no build step.

Design

  • Each screenplay has a unique color palette and header image with a visual motif (bow tie shape, decision tree, dice, game grid, fishbone, etc.)
  • Dark theme, responsive layout, print-friendly CSS
  • Header images are base64-encoded directly into the HTML
  • Character names centered and bold, stage directions italicized, scene headings accented

Regenerating

pip install Pillow
python3 generate_screenplays.py

Reads prompts from iso_301010_sreenplay_prompts.csv, generates unique header images using Pillow, and outputs 10 standalone HTML files plus corresponding PNGs in img/.

Requirements

  • Python 3.10+
  • Pillow

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