e9e7060fb4
38.18 confirmed the 1ph default-flip was sound for its own era, but that
measurement predates three changes to the objective it was measured
against -- 39.4's namespace fix, 38.10/38.11's per-space crinkliness, and
38.12's missing-space cascade -- and collapse_insearch runs collapse_global
inside every eval, valued against exactly the factors those touched. A
default carried on a superseded measurement is an assumption, not a result.
Re-ran the 1ph protocol as published on the current codebase:
N OFF ON W/L/T diff t p
published 1ph 20 7.95 7.10 11/6/3 +0.85 2.38 0.028
current objective 20 7.85 7.15 10/7/3 +0.70 1.82 0.069
current objective 40 7.60 7.03 21/14/5 +0.57 2.01 0.045
current objective 60 7.58 7.02 29/19/12 +0.57 2.45 0.017
Verdict: the default STANDS. At N=60, mean diff +0.567 fails/seed, paired
t=2.454 (df=59), p=0.0171 exact, 95% CI [+0.105, +1.029] excluding zero;
Wilcoxon signed-rank cross-check agrees (p=0.0138), which matters because
fail counts are small integers and normality is not obvious.
Two caveats. The effect is about a third smaller than published (+0.57 vs
+0.85) -- partly regression from a lucky N=20 draw, partly plausible real
erosion, since several fails collapse_global used to clear have been
redefined out of existence or made harder.
More usefully: the published N=20 can no longer detect its own effect. At
exactly that sample size the current answer is p ~= 0.069, a null by the
conventional threshold. Had I stopped at N=20 the honest report would have
been "the 1ph verdict no longer reproduces" and the default would have
looked unjustified. It took N=60 to resolve. That is the 8sh/1ph/qi6/lj3
pattern this log warns about, now biting the flagship result itself: any
future re-validation of this default needs N >= 40.
20 annotated in place so a reader of the original claim sees the current
figure. Harness takes a seed range now (APPEND=1 to extend a sweep).
Closes homemaker-py-ioe.
Lint at parity (46); tests 384 passed, 0 failed.
Co-Authored-By: Claude Opus 5 <noreply@anthropic.com>
Claude-Session: https://claude.ai/code/session_01MJ84Feep79Hhm3E4zZJmnB
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Beads - AI-Native Issue Tracking
Welcome to Beads! This repository uses Beads for issue tracking - a modern, AI-native tool designed to live directly in your codebase alongside your code.
What is Beads?
Beads is issue tracking that lives in your repo, making it perfect for AI coding agents and developers who want their issues close to their code. No web UI required - everything works through the CLI and integrates seamlessly with git.
Learn more: github.com/steveyegge/beads
Quick Start
Essential Commands
# Create new issues
bd create "Add user authentication"
# View all issues
bd list
# View issue details
bd show <issue-id>
# Update issue status
bd update <issue-id> --claim
bd update <issue-id> --status done
# Sync with Dolt remote
bd dolt push
Working with Issues
Issues in Beads are:
- Git-native: Stored in Dolt database with version control and branching
- AI-friendly: CLI-first design works perfectly with AI coding agents
- Branch-aware: Issues can follow your branch workflow
- Always in sync: Auto-syncs with your commits
Why Beads?
✨ AI-Native Design
- Built specifically for AI-assisted development workflows
- CLI-first interface works seamlessly with AI coding agents
- No context switching to web UIs
🚀 Developer Focused
- Issues live in your repo, right next to your code
- Works offline, syncs when you push
- Fast, lightweight, and stays out of your way
🔧 Git Integration
- Automatic sync with git commits
- Branch-aware issue tracking
- Dolt-native three-way merge resolution
Get Started with Beads
Try Beads in your own projects:
# Install Beads
curl -sSL https://raw.githubusercontent.com/steveyegge/beads/main/scripts/install.sh | bash
# Initialize in your repo
bd init
# Create your first issue
bd create "Try out Beads"
Learn More
- Documentation: github.com/steveyegge/beads/docs
- Quick Start Guide: Run
bd quickstart - Examples: github.com/steveyegge/beads/examples
Beads: Issue tracking that moves at the speed of thought ⚡