We live in the noisiest era in human history. Every app, platform, and feed is competing for a slice of your attention. Most of what gets amplified isn't important - it's just loud.
The question I keep coming back to is simple: how do you separate what matters from what doesn't?
The volume problem
More information should mean better decisions. But that's not how it works in practice. Past a certain threshold, more input creates more confusion, not more clarity. You end up optimizing for staying current instead of actually thinking.
The greatest enemy of knowledge is not ignorance, it is the illusion of knowledge.
Most "staying informed" is really just pattern matching against what everyone else is reading. It feels productive. I'm not sure it is.
A better filter
Here's the framework I've started using. For any piece of information, I ask three questions:
- Will this matter in a year? If not, it's noise. Most breaking news, most hot takes, most trending topics fail this test.
- Does this change what I do? Information that doesn't alter my behavior or decisions is probably closer to entertainment than signal.
- Who benefits from me seeing this? If the answer is "the platform" or "the author's engagement metrics," proceed with skepticism.
What's left
When I try to strip away the noise, what remains is surprisingly small - and I think surprisingly valuable. A few deep relationships. A handful of ideas worth wrestling with. Work that compounds over time.
That's what I think the signal looks like, at least. I'm still learning to tune out the rest.
This is what I'll be writing about here: the things that seem to survive the filter. Ideas I'm testing, observations that have shifted how I see things, and the occasional framework that's helped me think a little more clearly.
Thanks for reading.