Signal in the Noise: How Persistent Communication Shapes Our Beliefs


I've been exploring a subtle yet powerful pattern that underlies nearly all forms of persuasion—whether in marketing, politics, or everyday life. It hinges on one deceptively simple idea: how effectively a message rises above the noise to shape beliefs and behavior.
Using Claude Shannon's Information Theory, René Girard's scapegoat mechanism, Boolean logic, and an understanding of institutional power cycles, I've built a framework to explain how persistent messaging can guide, distort, or dominate our perception—regardless of moral content.
Let’s break it down clearly so you can see it working in the wild.
Step 1: Claude Shannon’s Information Theory
Shannon developed Information Theory to address how signals could be clearly transmitted through noisy communication channels. At its core is the concept of entropy: the uncertainty in a message.
Channel Capacity (C) = B × log₂(1 + S/N)
Translated:
C (Channel Capacity):
How effectively the message gets through.
B (Bandwidth):
The listener’s attention span.
S (Signal):
The clarity and structure of the message.
N (Noise):
Distractions, contradictions, clutter.
In a world flooded with competing narratives, understanding this formula is critical. The clearer and more consistent the signal, the more likely it is to influence thought.
Step 2: High vs. Low Entropy Messaging
Persuasion operates along a spectrum of entropy:
Low Entropy:
Repetitive, clear, emotionally resonant messages.
High Entropy:
Confusing, contradictory, or overwhelming inputs.
The common tactic:
Create Chaos:
Introduce conflicting data and emotional overwhelm.
Introduce Simplicity:
Offer a stable, repetitive message that feels like clarity.
This isn’t about truth, it’s about who can deliver the most signal through the most noise.
Step 3: René Girard’s Scapegoating Mechanism
In uncertain times, we instinctively search for someone or something to blame. Girard called this the scapegoat mechanism.
It reduces complexity into a single, digestible narrative: This is who’s responsible.
And once again, repetition, not morality is the lever. Repetition creates a false sense of resolution, making blame feel like truth.
Step 4: Boolean Logic and Automated Persuasion
Technology now systematizes persuasion through bots, content farms, and algorithmic delivery. Here’s the logic distilled:
IF Attention is LOW THEN
Persuasion = FALSE
ELSE IF (Signal / Noise) > 1 THEN
Persuasion = TRUE
ENDIF
Repetition is a force multiplier:
IF Message is repeated consistently THEN
Effective Signal = Signal × Persistence Factor
ENDIF
IF (Effective Signal / Noise) > Threshold THEN
Persuasion = TRUE
ENDIF
The message doesn’t have to be compelling. It just has to show up more often than everything else.
Step 5: Bots and the Mechanics of Belief Shaping
Digital persuasion deploys roles like:
Sockpuppets:
Fake personas used to legitimize and amplify.
Mechanical Turks:
Accounts executing scripted repetition.
Chaos Agents:
Inject confusion to disorient before simplifying the narrative.
These roles function like theater cast members. Their job isn’t to be right—it’s to be loud, consistent, and ever-present.
Step 6: The Binary Trap and the Theater of False Choice
Modern discourse thrives on binary framing:
With us or against us.
Speak out or you’re complicit.
This dynamic flattens complexity and narrows your available thought options to two preapproved scripts. You’re nudged to choose a side, or be treated as the enemy by both.
But this setup is theatrical. The audience is trained to react to staged conflict, not recognize the set. And the narratives that persist, the ones that never get solved or questioned are the real scenery. They’re the unkillable myths driving cycles of control.
Step 7: Useful Idiots, Echo Amplifiers, and Narrative Glue
Much of persuasion is crowd-sourced. The architecture of influence includes:
Useful Idiots:
Well-meaning actors who spread half-baked narratives.
Echo Amplifiers:
Likes, retweets, shares-engagement that makes repetition louder.
Narrative Glue:
Memes, hashtags, and moral shorthand that fuse identity with ideology.
This is how the stage is dressed. The messaging doesn’t need to be accurate, it just needs to feel familiar.
Step 8: Persuasion vs. Real Learning
So how do you tell the difference?
IF message is simple, repetitive, and light on context THEN
It’s likely persuasion.
ELSE IF message is layered, critical, and self-aware THEN
It’s likely learning.
ENDIF
Real learning is harder, slower, and often uncomfortable. That’s how you know it’s working.
Step 9: Breaking the Cycle
To stay grounded:
Seek utility:
Does this message help you think or act more clearly?
Be skeptical of simplicity:
Comfort is not a signal of truth.
Curate friction:
Diversity of thought is cognitive armor.
Where We Are: A High-Entropy Moment
Right now, we’re living in a high-entropy phase. Institutional trust is eroding. Messaging is chaotic. Everyone’s selling certainty.
But this is just a cycle, a recurring phase in a much older pattern. Systems fragment, stories fracture, and then power regroups through repetition.
Don’t confuse stagecraft for authenticity. This isn’t about one party, figure, or ideology. It’s the operating logic of influence itself.
A little skepticism is healthy. Too much trust in this moment? Dangerous.
Quick Recap
Clear, repeated signals
dominate chaos.
Scapegoating
is a shortcut to false clarity.
Automation
amplifies simple narratives.
Binary framing
limits your mental flexibility.
Crowd roles
reinforce narratives unconsciously.
Critical thinking
gives you strategic agency.
Final Thought
If you don’t learn to recognize synthetic persuasion, you’ll mistake repetition for truth. You’ll live inside someone else’s script.
But once you see the dynamics, the binary traps, the narrative theater, the bot networks, you stop reacting. You start seeing the entire stage.
And when you see the stage, you don’t have to play a role written for you.
You can write your own.
