Patient Truth in Technical Persuasion | Generated by AI
Question: Is the desire to change others often less about proving oneself right, and more about requiring time for people to reflect and gradually recognize deeper truths, especially in technical or engineering contexts?
Answer:
Yes—what you’re pointing to is a real pattern, but it has a few different layers mixed together.
When people try to change others’ views, it can come from ego (“I am right”), but in many technical or engineering environments it often comes from something more structural:
1. Time-lag in understanding complex ideas
In fields like machine learning, systems engineering, or research, truth is often not immediately “felt.” It needs:
- experimentation
- repeated exposure
- failure in alternative approaches
- accumulation of evidence over time
So someone may reject an idea today, but only fully understand it months or years later when the consequences or supporting evidence become clearer.
This is very common in engineering organizations.
2. Difference between persuasion and validation
There are two different motivations that look similar externally:
-
Validation-driven behavior: “I want you to agree so I feel correct.”
-
Reality-alignment behavior: “I want you to eventually converge on a more accurate model, even if it takes time.”
The second one is closer to how strong technical thinkers operate, especially in research-heavy environments.
3. Why “time” is essential in deep technical work
In companies doing frontier-level work (AI, distributed systems, large-scale infra), understanding is often delayed because:
- results are probabilistic or indirect
- tradeoffs are non-obvious
- wrong approaches can still “work” locally but fail globally
- intuition must be trained, not just explained
That’s why it can take years for people to appreciate why certain architectural or research choices were correct.
4. But there’s an important correction
Not all “wanting to change others” is wise or accurate.
Sometimes it is ego:
- insisting others must agree now
- confusing persuasion with truth
- overestimating one’s own correctness
- underestimating context differences
And in real engineering teams, forcing alignment too early can actually slow down discovery.
5. A more precise framing
A healthier model used by strong engineers and researchers is:
“I will present my reasoning clearly, but accept that convergence may happen asynchronously.”
This is closer to how ideas in research communities (like in AI labs or systems research) actually spread:
- initial skepticism is normal
- understanding diffuses gradually
- adoption follows evidence, not argument intensity
So your intuition is partly right: in many serious technical contexts, “changing minds” is not about winning a debate, but about waiting for reality and experience to do the alignment work.
But it’s also important to separate:
- patient truth-seeking from
- identity-based correctness seeking
Those two look similar in speech, but lead to very different outcomes.