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title: Ivory Tower Notes: The Methodology | daily.dev
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# Ivory Tower Notes: The Methodology

**[Towards Data Science](https://daily.dev/sources/tds)** · 7 min read · 0 upvotes · 0 comments

## Summary

A call to apply scientific methodology to data and AI projects instead of relying on AI-generated outputs. Using a platform comparison scenario as an example, the post walks through the classic research cycle: defining a testable hypothesis, running controlled experiments with independent/dependent/control variables, and drawing conclusions from repeated runs. The core argument is that 'prompt in, slop out' happens when practitioners skip hands-on experimentation, and that real credibility comes from sharing findings grounded in actual empirical work rather than polished AI-generated summaries.

## Full article

daily.dev links to this article rather than hosting it. Read it at the original source: <https://towardsdatascience.com/ivory-tower-notes-the-methodology/>

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Tags: [#data-science](https://daily.dev/tags/data-science), [#machine-learning](https://daily.dev/tags/machine-learning)

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