HeyJaredProof
Read the latest about the intersection of AI, causal proof of business impact, fiduciary duty, and risk, among other things.
- Indexed issues, last 90 days
- 10
- Latest publication
- Sep 19, 2026
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- Jul 25, 2026
Latest issues
The Closed System Illusion: Why Regulated AI Inherits Data Science’s Original Sin (opens the original)
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It isn't stated in methodology sections. It isn't listed among assumptions. It is simply there, load-bearing and unexamined, beneath econometrics, actuarial science, and now — increasingly — the architectures being built to make AI defensible in regulated environments.The premise is this: that highly regulated environments are effectively closed systems, and that within closed systems, correlation is sufficient for reliable inference.It feels true. Regulated environments are rule-dense, document
The People Who “Make the Food” Shouldn’t Control Its Distribution (opens the original)
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There’s a principle embedded in food supply chain design that we accept without question: the people who create the food can’t be responsible for its distribution, and the people who distribute it can’t be the ones who determine the basis for distribution. These roles are separated precisely because the incentives conflict. Collapse them into one and you no longer have a supply chain — you have a narrative.It’s therefore pretty amazing that in the data world, those roles collapse routinely. <div
Making the Same Mistake (opens the original)
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There is a belief so widespread in technology that it has become almost invisible — a background assumption rather than a conscious strategy. It goes like this: when performance disappoints, the answer is more. More spend. More headcount. More data. More compute. More of whatever we are already doing.This belief is running, simultaneously, through two of the most consequential resource decisions in modern business: the race to scale AI compute, and the push to scale GTM investment. And in both c
The Portability of Human Failure (opens the original)
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There is a foundational assumption underneath much of the artificial-intelligence boom that rarely gets stated plainly. If we can accumulate enough data, apply enough compute, and build models large enough to recognize enough patterns, the resulting system should approximate Reality with increasing fidelity. More data, more compute, better intelligence — and at sufficient scale, the closed computational system begins to look almost like the open system it represents.There is an extraordinary ide
The Conscience That Actually Matters (opens the original)
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There are three very different relationships a person can have with being wrong.The first is the desire to always be right. It sounds like intellectual confidence. It presents itself as expertise, certainty, decisive leadership. But underneath, it is defensive. Its primary function is to protect the current model — the worldview, the framework, the prior conclusion — at the expense of reality. It is the engine behind confirmation bias, behind the 95% confidence score quietly treated as 100%, beh
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