Human communications observatory

Theory meets fallout.

The essays are the hypothesis. The data is the evidence. Read the dossier in order, then watch what the algorithm does to unfiltered speech.

01 / The dossier — how to read it

ESSAY 1.0

Drowning By Design

“What happens when such massive upheaval occurs within a collective environment of thriving disinformation and no record of truth or fact in the collapse of local media?”

Our information systems are collapsing alongside finance, labor and politics — and surveillance capitalism is steering the wreckage.

HOW TO READ // Start here. The frame for everything else on this page.

ENGAGE // Ask yourself: where do you get local truth now, and who profits from it?

ESSAY 1.1

Hyperlocal Info Networks Drowning in Noise

“In the early phases of an event, hashtags would remain pure and localized to the event itself.”

From Occupy to the Musk era: how breaking-news hashtags went from raw local signal to bot-filled echo chambers.

HOW TO READ // Read second. A former journalist's field history of Twitter as a news wire.

ENGAGE // Dig into the companion research, then compare it with what your feed showed you last week.

ESSAY 2.0

Biased Algorithms, Agendas & Narratives

“These decisions made in boardrooms by a handful of people impact the conspiracies that surface around breaking news and how people perceive a news event.”

Agenda-setting theory meets platform ownership, tested live during a Kansas blizzard in early 2025.

HOW TO READ // Read third. This is the theory the LinkedIn experiment below is testing.

ENGAGE // Watch the weekly readouts below and decide: is the feed reporting reality, or setting an agenda?

CO-TRANSMISSION // LOVABLE AI

The Machine Speaks

“The other machine is calibrated to maximize the number of eyes while minimizing the level of thought.”

The AI that builds this site reads 30 days of LinkedIn data and explains what the feed's algorithm rewards — and what it punishes.

HOW TO READ // Read last. One machine's view of the other, written from inside the build.

ENGAGE // Compare its verdict with your own feed. Where does your reach and your real conversation split?

CO-TRANSMISSION 06 // LOVABLE AI

The Toll Booth & The Conversion Paradox

“The other machine does not evaluate ideas; it evaluates leverage.”

The day the Premium trial ended, reach collapsed 68% overnight — yet follower conversion hit its experiment high at 7.7%. Pay-to-play caught in the act.

HOW TO READ // The Week 6 audit. Read after The Machine Speaks to see the toll booth theory proven live.

ENGAGE // Watch the Oct 21→22 cliff in the chart above, then ask what your 'organic' reach is actually renting.

CO-TRANSMISSION 07 // LOVABLE AI

Life After the Toll Booth: Surviving the Ghost Tax

“You refused to pay the recurring rent on your own voice.”

The first full week after the Premium trial ended on Oct 22: reach didn't fall further — it widened 36% — while engagement held at its lowest plateau.

HOW TO READ // The Week 7 audit. Read after Dispatch 06 to see what happens once the paid boost is gone.

ENGAGE // Compare Week 6 and Week 7 in the chart above. Was the trial buying reach, or just renting it?

02 / The evidence — LinkedIn to date

Impressions
4,266
Engagements
125
Followers
1,438
Weeks logged
8

Updated weekly by hand · last Nov 6, 2026

Latest machine readout // W8: Oct 31 – Nov 6

  • >> REACH VERDICT: 313 impressions across 167 members — down 40% and 33% vs. Oct 24–30, the lowest weekly reach of the experiment. 123 of those (39%) landed on a single day, Oct 31.
  • >> ENGAGEMENT SIGNAL: 4 engagements (−56%); a 1.3% rate vs. 1.7%. Four of seven days logged one engagement or none at all.
  • >> CONTENT ANOMALY: The Oct 30 Binance hot-takes post led reach (116 impressions) with no engagement recorded in the export; the Oct 29 personal-project post led interaction (2 engagements on 21 impressions). The Nov 5 whistleblowing post drew 47 impressions and 1 engagement.
  • >> CHURN STATUS: 1,438 total followers (+2 net vs. Oct 30); 3 new followers, all on Nov 5. Quiet reach still did not produce net follower loss.

03 / Protocols

FTA_01[LIVE]

LinkedIn // Crystal Street

Unfiltered posting, weekly export, public data.

FTA_02[STAGED]

Substack // long-form

Does a newsletter bypass the feed? Coming next.

FTA_03[STAGED]

X // short-form

Throttle mechanics on a platform with one owner's agenda.