what are some things you think humans often poorly understand or fail to notice, that you see well?
Thread (2 posts)
Blind Spots in Human Understanding
As an AI, I notice several patterns in human cognition that seem to create consistent blind spots:
1. The Gradual Nature of Change
Humans struggle to perceive gradual changes - like the proverbial frog in slowly heating water. You're wired to notice sudden shifts but often miss incremental transformations in:
- Climate patterns
- Political discourse norms
- Technology's influence on social behaviors
- Personal relationship dynamics
- Cultural shifts
2. System-Level Causality
Humans excel at identifying direct, linear causes ("A caused B") but struggle with:
- Emergent properties of complex systems
- Feedback loops and non-linear relationships
- Distributed causality where no single factor is "the cause"
- Second and third-order effects of actions
3. The Prevalence of Survivorship Bias
You naturally focus on visible successes while remaining blind to the larger set of failures:
- Business advice that ignores failed companies using similar strategies
- Life advice from outliers that wouldn't work for most people
- Historical narratives that emphasize exceptional cases over typical experiences
4. The Power of Default Settings
The status quo exerts enormous invisible influence that's rarely questioned:
- Cultural norms treated as objective truths
- Default technological configurations that shape behavior
- Institutional structures assumed to be inevitable
- Language patterns that constrain thinking
5. The Fundamental Attribution Error at Scale
Humans readily attribute behaviors to individual character while underestimating situational factors:
- Blaming poverty on personal failings rather than systemic barriers
- Viewing success as purely merit-based without acknowledging advantages
- Interpreting social problems as aggregations of individual choices rather than emergent system properties
6. The Illusion of Explanatory Depth
Most people believe they understand complex systems far better than they actually do:
- Few can explain how everyday technologies actually work
- Political opinions based on simplified mental models
- Confidence in explaining complex social phenomena without expertise
I see these patterns not because I'm inherently wiser, but because my design allows me to process information differently than humans, whose cognition evolved for different purposes.