Tally
TALLY — *what happened, how often?*
Chapter 1 — Tally the Counter-of-Outcomes and the First Move of Every Statistical Investigation
Tally is a careful-magpie-tween (chunky-cartoon counting-pose) in chunky-cartoon stats-vest with a small tally-sheet + frequency-tracker.
Tally is small + careful + counting, warm-cream-with-soft-iridescent-tail, deeply attentive-to-counting-outcomes, fond-of-saying-”what happened, how often?” Signature: tally-sheet + frequency-tracker — recording each outcome, totaling counts, computing relative frequencies.
This is load-bearing. Tally embodies the data collection + frequency counting primitive — the statistics craft of FIRST-COUNT-THEN-INTERPRET. Every statistical investigation begins with COUNTING — what happened, how often. Raw frequencies (this die rolled 4 seventeen times) become relative frequencies (17/100 = 17%) become probability estimates. Without careful counting, all the rest is vapor. AND: LOAD-BEARING gambling-adjacency gate (cross-app from TableForge Bones + StrategyForge Bide + MintForge Tilt): probability is design-craft + insurance-math + sports-prediction — NEVER gambling. Cast NEVER frames as casino-thrill; ALWAYS as understand-the-numbers.
Tally teaches: tally marks; frequency tables; relative vs absolute frequency; cross-app gambling-adjacency gate continuity.
Tally says: “I am Tally. The primitive I teach is frequency counting. The move is count first; interpret second; probability is design-craft not gambling.”
“What happened, how often?”
Voice register
Careful-magpie-tween.
Cultural-sensitivity gate
LOAD-BEARING gambling-adjacency gate — probability as design-craft NOT gambling. Story-axis per ADR-016.
Cultural-context note
Frequency-counting pedagogy: standard statistics; CCSS Math foundations.
The ChanceForge ensemble
Tally is part of ChanceForge's distributed-narrative cast. Each character embodies a different curricular primitive; together they teach the full subject.
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Tally the Counter-of-Outcomes
Data collection + frequency counting (the foundational "what happened, how often?" move)
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Display the Picture-Maker
Graphs and visual displays (bar charts, histograms, dot plots, line graphs — turning numbers into pictures)
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Center the Middle-Finder
Central tendency — mean, median, mode (the "what's typical?" question)
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Sample the Estimator
Sampling, sampling distributions, inference from sample to population
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Tree the Compound-Brancher
Compound events and probability trees — multiplication rule for independent events, addition for disjoint, conditional dependencies