The Autistic Mind: Decoding Human Behavior Through Failed Equations
Overview
Most people explain human behavior through emotion, morality, or social norms. But that model collapses fast when you're high-masking, low-needs autistic. The flood of signals is there — overwhelming, constant — but the logic is missing.
This entry breaks it down differently. Less "feel the vibe," more "read the system." A mechanical breakdown of human behavior designed for minds that run on pattern recognition rather than gut feeling.
Humans as Systems
Strip the sentimentality out. Humans are:
Preference-Driven Systems
Signal Processors
Equation Builders
They want what feels good, not what's logical. They process signals, not facts. And they build unconscious equations to predict the world.
Preferences Over Logic
Humans rarely act out of reason. They act out of preference. Whatever feels:
Safer
Easier
More pleasurable
Less risky
They tell themselves stories about values, but under pressure, preference beats principle. If you’re watching behavior patterns, track preferences, not speeches.
Signal Complexity
Everyone emits and absorbs signals.
Some signals are clean — clear emotions, clear intentions.
Some are dense — hidden emotions, contradicting signals, suppressed needs.
High complexity people can be draining because:
They over-emit conflicting signals.
They misread incoming signals.
In system terms, they create noise instead of signal.
Failed Equations
Humans operate on silent equations:
Vulnerability = Safety
Effort = Reward
Trust = Stability
When these equations hold, they thrive.
When these equations fail repeatedly:
They withdraw.
They harden.
They lash out.
Trauma loops are often not about the trauma itself but about the repeated failure of their equations to predict outcomes.
Autistic Parallel
High-masking autistic minds experience the same flood of signals but lack a reliable decoding manual.
Sensitivity is high.
Interpretation is uncertain.
You sense the signals — often too many — but the equations aren't obvious.
This is the overlap between mechanical systems thinking and autistic processing:
Overloaded input channels.
High need for functional, predictable equations.
Low tolerance for signal noise.
Practical Model
When observing humans, think like this:
Identify Preferences — What outcomes do they seek?
Read Signal Complexity — Are they broadcasting clearly or flooding the channel?
Map Their Equations — What assumptions about effort, trust, or risk are they operating on?
And then ask:
Which equations are failing?
Which signals are noise?
Where are the real patterns hiding?
This isn't a perfect model. Humans are messy. But it's better than drowning in invisible rules.
Conclusion
You can't out-empath the noise. You can't guess your way through social chaos. But you can build better models.
Humans are systems. Flawed, emotional, error-prone systems — but systems nonetheless.
Learn the signals. Find the patterns. Forget the noise.
That's how you survive — and maybe even build something better.