In statistics, the null hypothesis is the default assumption — that nothing has changed, that observed differences are mere noise. The Null Hypothesis is my exploration of the opposite premise: that the patterns we dismiss as coincidence are often the signal.
By day I architect software systems for a living. By night I write about the connections between finance, biology, philosophy, and the systems that quietly govern everything in between. When I'm not at a desk, I'm somewhere far from one.
The polished bio is true. I am a systems architect. I do read a lot. I do travel. But the bio leaves out the part where, for most of my twenties, I was quietly furious that the world I'd been handed felt so small.
The "null hypothesis" isn't a clever statistical metaphor I picked up at a dinner party. It's the diagnosis. The default — wake up, work, scroll, sleep, repeat — was the noise I was supposed to accept as signal. So I started looking for the alternative, in places I wasn't supposed to look. This blog is the lab notebook.
I'm not selling a productivity system. I'm not on LinkedIn. I'm not a coach. I'm a person who writes things down so they stop rattling around at 2 AM.
↳ a playlist i listen to while writing