Here Is What I See

No degree. No CFA. No analyst program at Goldman or Morgan Stanley. No MBA from a school whose name functions as a credential.

Everything here comes from doing the thing, failing at the thing, and extracting what I could from the failure. Repeat for years. That's the education.

I'm not part of the machine. I never was. I'm watching it from outside, trying to figure out how it works, then translating what I see for people who don't have a seat inside either.

The outsider position has costs. No network to tap. No institutional weight behind the work. No credential that lets people relax their scrutiny. Everything has to be earned from scratch, every time.

But the position also has something. When you're not inside a system, the system's assumptions don't feel like facts. You can see the frames as frames. You can ask questions that insiders stopped asking years ago because the answers seemed obvious from where they stood.

Different vantage, different things visible. That's the trade.

A few years ago I caught myself doing something I thought I understood well enough to avoid. I was holding a position that had moved against me, and I noticed I was seeking out information that confirmed I was right to hold. Not consciously. The filtering was happening before I chose to filter. By the time I was evaluating a piece of analysis, the evaluation was already tilted.

This wasn't weakness of will. It was something more structural. The bias wasn't an urge I could resist through effort. It was a distortion in how reality appeared to me. The counterfactual wasn't even visible as a real possibility. I couldn't resist what I couldn't see.

That observation became a book. Not advice. Not a system for self-improvement. A description of how cognition actually operates when stakes are involved. Writing it didn't make me immune. Understanding a bias doesn't dissolve it. But it gave me language for what was happening, and language creates a chance. You can't examine what you can't name.

Here's what I learned: the distortion is always structural, never merely personal. Certain configurations reliably produce certain blindnesses. The configuration is upstream. The blindness is downstream. Change the configuration and you change what's visible.

That insight led to every structural choice I've made.

Anonymous because credentials are cognitive shortcuts. They exist because you can't deeply evaluate every claim from first principles. Someone else vetted this person. You can relax your scrutiny.

That's useful. But the mechanism doesn't distinguish between legitimate and illegitimate claims. It just reduces friction for anything coming from a credentialed source.

Without a name and resume attached, you have to actually look at what I'm pointing at. The claim has to stand alone because there's nothing else to lean on.

Free because payment changes what you notice. If people were paying me monthly, subscriber retention would show up in my awareness as a thing to be attended to. The question "will this keep them subscribed?" would be present in the room even if I never consciously asked it.

Ideas that might threaten retention would seem less compelling. The filter would operate upstream of conscious choice.

There's also the rhythm problem. Subscriptions need to feel like value, which means producing regularly. But insight doesn't arrive on a schedule. Free means I only write when I have something to say.

Teaching creates hierarchy. I know something you don't. My job is to transmit it downward. You receive. The authority flows one direction.

Persuading creates opposition. I have a position. My job is to move you toward it. You're the target. Even when the force is gentle, the structure is adversarial.

Both modes run into the same problem: they activate exactly the biases described above. Teaching triggers authority heuristics. You defer rather than evaluate. Persuading triggers resistance. You defend rather than look freshly. The modes themselves contaminate the transmission.

Pointing is different. I've noticed something. I'm describing it as precisely as I can. You look where I'm pointing. You either see it or you don't.

There's no hierarchy. I'm beside you, not above you. We're both looking at the same thing. There's no opposition. I'm not trying to move you anywhere. I'm trying to share a vantage point. The goal is to point at something you might already half-see so you can recognize it clearly. Not transmission of knowledge. Joint observation of a pattern.

This mode can fail. If I point and you look and you don't see it, the failure is mine. Either the pattern isn't there, or my pointing wasn't precise enough. There's no fallback to "trust me" or "study more." The mode is self-correcting because it's immediately checkable.

Most analysis comes with shields. The institution's name. The analyst's track record, selectively presented. The complexity of the model, which most readers can't evaluate. The relationships with management, implying access to information you don't have. These aren't necessarily dishonest. But they function as buffers. If the analysis is wrong, there are explanations that don't require admitting the analysis was wrong.

I've stripped away the shields.

No credentials to defer to. No institutional reputation to borrow. No model complexity to hide behind. No access to imply. Just the claim, the evidence, and the mechanism connecting them. You can check all of it. The filings I'm looking at are public. The logic I'm using is visible. The pattern I'm pointing at is either there or it isn't.

If I'm wrong, I'm just wrong. There's nowhere else to point.

This exposure is uncomfortable. Every piece is a bet that can be called. But it also means that when the analysis holds, it holds for the right reasons. Not because I convinced you. Not because my credentials made you inclined to believe. Because you looked at the same thing I looked at and saw what I saw.

I hold positions in the AI infrastructure sector. This matters and you should know it.

The observation that led to the book applies to me. Having a position creates exactly the kind of structural bias described above. I will be inclined to notice confirming evidence and underweight disconfirming evidence. The inclination won't feel like bias. It will feel like judgment. The distortion will be invisible from inside.

This is why the methodology has to be what it is. Not my impressions. Not my conviction. The public filings. The contract announcements. The capacity coming online. The revenue appearing on the income statement. Things you can verify without trusting my perception.

The bull thesis tracks whether companies execute. If they do, the numbers improve. If they stumble, the numbers show it. The mirror doesn't flatter anyone, including me. The bear thesis applies the same method to companies I have no position in. If they deliver, the data will reflect it. If they continue to trade on narrative while missing milestones, that will be visible too.

The work has to be something you can check against reality, because my perception of reality is compromised by what I own. Objectivity isn't a feeling I have. It's a structure that makes my feelings less relevant.

If the evidence eventually contradicts my positions, I'll have to reconcile that. The work will not lie on my behalf.