Teching It Apart
Nini MunozDr. Nini Munoz is an electrical engineer, with inertial & biomedical sensor expertise, who unpacks data science, statistics, risk analysis, and science to tackle misinformation, teach scientific literacy, and shed light on how medical technology works.
| Platform |  | Pricing | Only free issues | Publishes | Weekly |
|---|---|---|---|---|---|
| Issues | 45 | Founded | 2 years ago | Last Issue | 3 months ago |
| Active | |||||
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techingitapart.substack.comLatest Issues
When Expertise Feels Like Exclusion
I have been on the receiving end of feedback that highlights a problem many people quietly experience in expert-driven spaces. There’s a meaningful difference between not knowing something and being incapable of knowing it. One names a gap...
We have a Scientific Literacy Problem
I write this as a mother thinking about my child’s future in this country, as a scientist concerned about the erosion of our scientific institutions and expertise, and as someone who refuses to feel hopeless. Hopelessness is convenient. It...
Why Your Anecdote is Not Evidence
Someone came into the comments section the other day to argue that, despite lacking peer-reviewed evidence, the fact was that homeopathy and other wellness interventions (without robust data) had indeed helped many people. But that’s exactl...
Electrons: The unruly frogs protesting classical physics in downtown Portland
If you leave stuff unattended in a shared academic or industry cleanroom, it gets confiscated and sent to cleanroom jail. A few days ago, I found myself there, escorted by staff to the “jail cabinet,” where all abandoned samples and tools a...
What’s Wrong With Wind and Solar Energy? Nothing. The Problem Is the War on Science.
Teching It Apart runs entirely thanks to reader support. Every post, whether it's a deep dive or a timely analysis, takes time, energy, and a lot of behind-the-scenes work. If you’re finding value here and want to help keep it going,...
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Authors
The writers behind this newsletter.
A newsletter to teach you how to evaluate data to discern misinformation. From statistics to medical technology, and everything in between.
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