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scienceentity · corroborated across sources

el nino

for data scientists, operations planners

Steady

20

signal score

as of 3d ago

1

live items

Too early

trajectory — needs a few more snapshots

hackernews

Why this scored 20

every term, weighted
Velocity+0.0 / 40 max

Its fastest-moving item, measured against the pace of its own source

Acceleration+10.2 / 25 max

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

Cross-source spread+0.0 / 25 max

How many independent communities its own items come from

Recency+10.0 / 10 max

Decays to zero over 14 days, counted from when we first saw it

Saturation penalty0.0 / 30 max

Subtracted once something is big and old — sized by its biggest item, aged from when we first saw it

Composite20.2

Weights are hand-tuned, not learned — we're calibrating them against realized trends as history accumulates. On an entity'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

Signal history

7-day window (free)

The evidence

The live items this entity's score aggregates — every community independently talking about it right now. This is the corroboration, shown, not claimed.

  1. 118

    A historic El Nino is forming. Here's why scientists are worried [video]

    Historic El Niño formation may disrupt global weather, affecting climate-sensitive applications. — for data scientists, operations planners

    hackernewsscienceSteady3d ago