Cognitive Bias

The Dashboard That Does Nothing (And That’s Why It Works)

Most engineering dashboards overwhelm you with data, creating a crisis of attention. The Calm Engineering Dashboard flips the script: it shows almost nothing. By reducing cognitive load, it improves incident response time and reduces burnout. Calmness is a feature, not a bug. This article explains why less data leads to better decisions.

Your AI Isn’t Smart. It’s Just Human.

New research reveals that Large Language Models exhibit salience bias โ€” the same cognitive shortcut that makes humans fixate on prominent information and ignore everything else. Despite being trained on the entire internet, your AI doesn’t reason objectively. It gets distracted by the loudest detail in the room, just like you do. If you’re trusting AI for decisions that matter, you need to understand this flaw before it costs you.

The AI Skill You Already Have (But Keep Ignoring)

If you can write acceptance criteria for a feature, you can write an AI routing policy. The cognitive muscle is identical: break down desired behavior into clear, conditional rules. The real barrier isn’t technicalโ€”it’s the courage to admit you already have the tools. This article reframes AI governance as a familiar skill transfer, empowering product managers and developers to take ownership without waiting for data scientists.

I Asked an AI to Judge My Hacker News Comments. The Real Lesson Wasnโ€™t About Me.

A developer built a web app using Fable 5 to analyze HN comment histories. While the model delivered eerily accurate personality assessments, the creator discovered trivial coding errors in the app itselfโ€”cache bugs, outdated APIsโ€”proving that even top-tier LLMs need human review. The real lesson isn’t about vanity; it’s about the gap between AI’s perceived omniscience and its practical fallibility.

Hacker News Isn’t Left-Leaning. It’s Worse: It’s Reasonable.

Hacker News is often called left-leaning, but the reality is more nuanced: the site’s culture rewards reasoned arguments over ideological purity. The political label is a proxy for its meritocratic, evidence-based norms. Understanding this distinction is crucial for anyone navigating online communities, because the real bias isn’t partisan โ€“ it’s toward intellectual rigor.

Why Betting on Wildfires Might Be the Most Honest Thing We Do

Prediction markets that let you bet on wildfires feel morally repugnant, but insurers and governments already make those bets quietly. The real danger isn’t transparency โ€” it’s pretending we don’t price tragedy. These markets expose the ugly math we’ve been doing in secret, forcing us to confront risk head-on or keep hiding behind euphemisms.