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The Word List

Rating:
General Audiences
Fandom:
StrongDM Software Factory
Characters:
Jay Taylor Navan Chauhan Justin McCarthy
Tags:
Character Study Vocabulary Word List Documentation
Words:
486
Published:
2025-10-28

The file was called words.txt. It lived in a private repository on Jay's GitHub, in a directory called notes, alongside files named reading-list.md and ideas.txt and things-to-learn.md. Jay had been maintaining it for years. It was, by word count, his longest-running project.

The format was simple. Each entry was a number, a word, a dash, a definition, and a source.

Entry #1 was "quiescent," learned from a paper on garbage collection pauses in 2019. Entry #12 was "internecine," learned from a Hacker News thread about corporate politics. Entry #31 was "hygroscopic," learned from a materials science paper while debugging certificate storage. Entry #47 was "eigenvalue," learned from a linear algebra tutorial Jay had worked through over a long weekend because he wanted to understand principal component analysis.

Entry #48 was "homologous." Jay had encountered it in a biology paper about gene sequences and immediately recognized it as the perfect word for what the factory did with its twins. The Okta twin was homologous to real Okta—structurally similar, functionally equivalent, derived from the same behavioral lineage, but not identical. He'd used the word in a meeting and Justin had paused, considered it, and said, "That's exactly right."

Entry #93 was "satisfaction." Not the common meaning—the factory's specific meaning. The probabilistic metric. What fraction of observed trajectories through all scenarios likely satisfy the user. Jay had added it to the list not because it was a new word but because it was a familiar word given an unfamiliar and precise definition. The source was listed as "Justin, July 14, 2025."

Navan discovered the word list in November, during one of those Friday afternoon sessions when Jay's screen was visible from across the room. Navan noticed the numbered entries and asked about them. Jay showed him without hesitation. He was not embarrassed by the list. He was proud of it the way someone is proud of a collection that reveals their taste.

"You have ninety-three words," Navan said, scrolling.

"Ninety-six now. I added three this week."

"What were they?"

"'Stochastic,' which I knew informally but never had the precise definition for. 'Idempotent,' which I've used a hundred times but never looked up the etymology. And 'phlogiston,' which I found in a history of chemistry article."

"You add words you already know?"

"Sometimes. If I realize I've been using a word without fully understanding it. The list isn't about novelty. It's about precision. I want to know exactly what every word means, not approximately."

Navan thought about this. He thought about his own notebooks, filled with observations and diagrams and crossed-out mistakes in permanent ink. He thought about Justin's terrarium log, tracking pH and salinity with decimal precision. Three people, three private documents, three different ways of paying close attention to the world.

"Entry number forty-eight is my favorite," Navan said.

"Homologous?"

"It's the right word for the twins. Structurally similar. Functionally equivalent. Not identical."

Jay smiled. "That's why I added it."

Kudos: 84

word_hoarder 2025-10-30

Adding words you already know because you want the precise definition, not the approximate one. That's not vocabulary collection. That's epistemological hygiene. I'm starting my own list today.

entry_93 2025-10-31

Listing "satisfaction" as a new word because the factory gave it a new meaning, and citing Justin as the source. The factory has its own dialect and Jay is its lexicographer.

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