- Evidence. Data.
- Hypotheses. Findings. Conclusions. “This is what this means.”
The first should be objective (assuming proper instruments, methods, and measurements) and hopefully complete. That’s the truth.
The second is the story about the first. Human interpretation.
If the humans do their job correctly, and the evidence and data are complete, the second should also be truth. We want them to be truth. The pursuit of science.
But trust comes to the table here. Do you trust the humans drawing the conclusions? Do you trust their methods, motivations, and perspectives? Do you think their data is complete? Do you believe their stories?
Because if you don’t, or your tribe doesn’t, you might not trust their answers.
Maybe AI will help us here. I think it can, but also, AI only knows what we know. Plus there’s the whole question of “how is this AI incentivized?”
So we’re back to trust. Which is a story.
Humans lean more on trust than they do evidence.
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