Posts

What Makes Something Resonate?

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What Makes Something Resonate? Why some ideas land in your bones—and others vanish on contact Snapshot: Why “Resonance” Feels So Powerful When people ask  what makes something resonate , they’re really asking why a message, story, or song feels like it was made just for them. Resonance happens when what’s outside (words, images, experiences) lines up with what’s inside (memories, values, hopes, fears). It’s less about how loud you speak and more about how precisely you’re tuned to your audience. In this post, we’ll unpack the anatomy of resonance—emotional truth, a bit of behavioral science, and the power of  niche  fit—so you can craft ideas that stick, spread, and keep echoing long after the moment has passed. The Core of Resonance: Alignment, Not Volume Resonance isn’t about being bigger, louder, or more dramatic. It’s about  alignment . Think of a guitar string: it vibrates when another note hits the same frequency. Ideas work the same way. A message “vibrates” i...

What Makes Workplace Feedback Actually Change Behavior?

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What Makes Workplace Feedback Actually Change Behavior? Why some comments fade by Monday—and others permanently reset the bar Framing the Question Effective workplace feedback isn’t about saying something “nice but honest”; it’s about creating conditions where people  actually  change what they do next week. Workplace feedback that changes behavior is specific, timely, and tied to a meaningful outcome, not a vague judgment or a personality critique. When you understand the psychology behind how adults learn at work, feedback becomes less about awkward conversations and more about tiny course corrections that compound over time. Below we’ll break down the ingredients of behavior-changing feedback, how to deliver it, and what it looks like in real teams. The Core Formula: Clear, Caring, Consequential Most feedback fails because it’s fuzzy (“great job”), feels like an attack (“you’re not strategic”), or lands in a vacuum (no clear stakes). Feedback that  actually  chang...

How Are Network Effects Impacted by Generative AI?

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How Are Network Effects Impacted by Generative AI? When your flywheel meets a stochastic parrot with superpowers Big-picture framing Generative AI is reshaping  network effects and generative AI dynamics  at every layer: data, users, and products. In classic platforms, more users mean more value for each user; now, more users also mean more data, faster learning, and better models. The core question shifts from “How big is our network?” to “How quickly can we compound learning from our network?” Instead of replacing network effects, AI  bends and intensifies  them. It can turn weak flywheels into strong ones, transform single-sided products into ecosystems, and in some cases even erode old moats by lowering switching costs. If you build, invest in, or compete with AI products, understanding these new loops is now part of the job. Network effects 101 (in one minute) Classic  network effects : The product gets more valuable as more people use it. Each new user add...

Why do small physical changes cascade into large effects?

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Why do small physical changes cascade into large effects? The hidden rules that let tiny nudges trigger massive outcomes Big-picture framing We’re used to thinking in straight lines: small cause, small effect. But  small physical changes  often trigger surprisingly large consequences because many systems aren’t linear—they’re perched near thresholds, packed with feedback loops, and sensitive to timing. This piece unpacks why a tiny nudge can flip a system into a new state, how energy and stress quietly accumulate, and where amplification and damping hide in everyday structures, technologies, and natural environments. By the end, you’ll see not just why cascades happen, but also why they often  don’t —and how that shapes risk in the real world. The myth of “proportional response”: why small ≠ small We instinctively expect the world to behave like a dimmer switch: move it a little, the light changes a little. That holds in  linear systems , where output scales neatly w...