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How can I conduct (and plot) a chisquare test for pairwise combinations of three variables?

Shows how to run chi-square tests on three-variable combos in R.

Steady
Signal score
29
Trajectory
→ Steady
7-day est. ~22

Why this scored 29

every term, weighted
Velocity+10.0 / 40

Engagement gained per hour since the last capture, against the fastest item on its own source

Acceleration+11.3 / 25

Whether that velocity is itself speeding up, as a per-hour rate

Cross-source spread+0.0 / 25

How many independent communities are talking about the same entity

Recency+8.3 / 10

Decays to zero over 14 days

Saturation penalty−0.8 / 30

Subtracted once something is big and old — we rank what's next, not what's peaked

Composite28.9

Weights are hand-tuned, not learned — we're calibrating them against realized trends as history accumulates. On a topic's first sighting there's no previous reading to compare against, so acceleration starts from a neutral prior rather than a measurement, and velocity falls back to engagement over its whole lifetime until a second reading exists. Full methodology

Outlook

low confidence · estimate, not a guarantee

7-day

~22

range 0–34

14-day

~23

range 0–37

30-day

~23

range 0–42

Signal history

7-day window (free)
1373

projected trajectory (estimate, not a guarantee)

Entities

r
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Drop this in a README or blog post — it updates automatically as the score moves.