SOCIAL SIGNALS · MEocial Engine v11

MEocial ENGINE v11 · SIGNAL INTELLIGENCE DASHBOARD · SIGNALS 📡 CREW

📡 SOCIAL SIGNAL TRACKER — INFLECTION BEFORE THE CROWD

MEocial ENGINE v11 — SOVEREIGN SIGNAL INTELLIGENCE

γ₁ = 14.134725141734693 · INFLECTION THRESHOLD = γ₁/10 = 1.4135σ · eosesreops@gmail.com

Not a social media manager. A sovereign signal intelligence platform that also publishes.
Inflection detected when velocity deviation exceeds γ₁/10 = 1.4135σ above 30-day rolling baseline.
"No one is even gonna care until they care too much." — The inflection is the signal. Everything before it is noise. Everything after it is commentary.

🟢 GDELT — collecting

🟢 Reddit — collecting

🟡 ACLED — awaiting creds

🟡 NASA VIIRS — awaiting creds

🟢 Bluesky — adapter ready

🌍 Wells 🔥 Clusters 🚢 Ark Index 🎯 Helixes 🌊 Cascade 📡 Social Signals

📡 SIX SIGNAL TRACKS — INFLECTION DETECTION

RED tier = σ > γ₁/10 = 1.4135

🛖

PREPAREDNESS

BUILDING

σ deviation from 30d baseline — γ₁/10 = 1.41σ threshold

Anxiety signals, survival prep mentions, NZ/Tasmania acquisition language

Sources: r/collapse, r/preppers, pytrends bunker/survival

Flat for years then exponential when people stop pretending everything is fine

🏦

SOVEREIGN RISK

BUILDING

σ deviation from 30d baseline — γ₁/10 = 1.41σ threshold

Debt crisis language, IMF/BRI mentions, currency collapse, sovereign default

Sources: GDELT debt/IMF/BRI events + r/geopolitics

The signal appears weeks before markets price it — language moves faster than bond spreads

⛏️

RESOURCE SCARCITY

BUILDING

σ deviation from 30d baseline — γ₁/10 = 1.41σ threshold

Food/water/energy urgency markers, fertilizer prices, ore grade language

Sources: GDELT FOOD_SECURITY+ENERGY + pytrends

Physical scarcity shows up in community language before it shows up in LME warehouse reports

🚢

ELITE BEHAVIOR

BUILDING

σ deviation from 30d baseline — γ₁/10 = 1.41σ threshold

Billionaire acquisitions, yacht orders, bunker construction, remote land purchases

Sources: Nitter (monitored accounts) + news RSS

These people have the best analysts. When they act, the model output is revealed in the behaviour

📣

COUNTER-NARRATIVE

BUILDING

σ deviation from 30d baseline — γ₁/10 = 1.41σ threshold

Official denial language: 'economy is strong', 'soft landing', 'no recession'

Sources: GDELT official-source tone vs community tone

When official tone diverges from community tone by >2σ, the narrative is about to break

🌊

CASCADE LANGUAGE

BUILDING

σ deviation from 30d baseline — γ₁/10 = 1.41σ threshold

Food + energy + debt words appearing together in the same 24h window

Sources: GDELT + Reddit multi-keyword co-occurrence

The inflection we're hunting: when three independent helix signals appear in the same sentence

⚡ INFLECTION ARCHITECTURE — HOW THE DETECTION WORKS

1. COLLECT

GDELT + Reddit + pytrends + Nitter → raw signals every 6 hours

2. NORMALISE

All signals → common schema: source, track, velocity, sentiment, safety_index

3. SCORE

30-day rolling baseline per track → deviation σ computed

4. THRESHOLD

σ > γ₁/10 = 1.4135 → RED alert tier → Telegram to @eose_signals_bot

5. SUPPRESSION

ACLED/WFP check → if conflict/famine active → HOLD all content (WLD🌀 mercy)

6. QUEUE

Drafts → human review → approve → schedule → Bluesky/X/LinkedIn/Telegram

The key: not volume — rate of change. A track at 100 posts/hr for a month is baseline noise. A track at 100 posts/hr after six months at 20 posts/hr is a γ₁/10 = 1.41σ RED event. "No one cares until they care too much" — the inflection is the gap between those two states.

📊 DATA SOURCES — 7 LAYERS

ACLED + WFP are suppression signals — they tell MEocial when NOT to post. The mercy protocol (WLD🌀) is built into the architecture.

pytrends

Google Trends

Topic timing, keyword discovery, rising query detection

Search volume + rising queries, geo interest

Free

Reddit JSON

reddit.com/r/*/hot.json

Trend validation, tone reading, community pulse

Raw community sentiment, post velocity, upvote ratio

Free

GDELT

api.gdeltproject.org/v2

Breaking news triggers, geopolitical context, tone/sentiment at scale

Global news events, 15min delay, tone scores built in

Free

Nitter RSS

nitter.net/rss

Real-time social pulse, monitored account tracking

Twitter/X content without auth, hashtag/account feeds

Free

ACLED

acleddata.com/api/acled/read

SUPPRESSION SIGNAL — holds content when conflict spikes in target region

Conflict event data by region/actor, 15min delay

Free ⚠️ pending

WFP HungerMap

api.hungermapdata.org/v2

SUPPRESSION SIGNAL — holds content when food emergency is active

Food insecurity by region, near real-time IPC phases

Free

NASA VIIRS

earthdata.nasa.gov

Physical activity proxy — lights don't lie about economic activity

Nighttime light activity, daily composites

Free ⚠️ pending

🔧 PIPELINE STATUS — BUILD PROGRESS

GDELT collector

✅ BUILT

core/signals/gdelt.py

Global news events, tone scores, 15min delay, no auth

Reddit JSON collector

✅ BUILT

core/signals/reddit_json.py

6 subreddits per track, no auth, velocity tracking

pytrends adapter

✅ BUILT

core/signals/pytrends_adapter.py

Google Trends search volume + rising queries

ACLED suppression

⚠️ NEEDS CREDS

core/signals/acled.py

Cookie auth — eosesreops@gmail.com password needed

Inflection detector

✅ BUILT

core/engine/inflection.py

Rolling 30d baseline + γ₁/10 = 1.4135σ threshold

Draft queue (SQLite)

✅ BUILT

core/content/draft_queue.py

Human-in-loop, full audit log, auto-approve at 0.9+ confidence

Bluesky adapter

✅ BUILT

core/publish/adapters/bluesky.py

AT Protocol, open platform, no corporate approval

Pipeline runner

✅ BUILT + TESTED

cli/run_pipeline.py

Tested live: GDELT 429-graceful, Reddit 30 signals, inflection GREEN

Devvit Reddit app

✅ SCAFFOLDED

sre-fleet/

Native Reddit mod tool, signal check action, γ₁/10 threshold wired

NASA VIIRS collector

⚠️ NEEDS CREDS

core/signals/nasa_viirs.py

Earthdata login — eosesreops@gmail.com registration needed

Twitter/X adapter

📋 PLANNED

core/publish/adapters/twitter.py

OAuth 2.0, free tier 17 posts/day

Telegram alerter

📋 NEXT

core/publish/adapters/telegram.py

→ @eose_signals_bot when RED tier detected