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BiasForge

Run the famous experiments about how your brain fools itself — on YOURSELF. Guess the anchored number, fall for the bat-and-ball, meet the Linda problem. Each reveals the trap by name (anchoring, framing, base-rates, the peak-end rule…), tells you how sure scientists actually are, and shows the slow move that catches it. Once you can name a trick, you can beat it. No timer, no score to chase; on-device, no account. Ages 9–14.

Icon coming soon
In planning Swift 6 · SwiftUI · FoundationModels Critical thinking / reasoning — recognize and name common judgment biases (anchoring, availability, conjunction fallacy, base-rate neglect, framing, regression to the mean, planning fallacy, sunk cost, endowment, hindsight, overconfidence, halo, small samples, denominator neglect, peak-end) Metacognition / statistics — calibrate confidence to accuracy (a proper-scoring bet), estimate before checking, and weigh how strong the scientific evidence for a claim is Hero color: #4b3f8f
Engagement: Modes pending

Distributed-narrative cast

Meet the cast

BiasForge's cast is your two ways of thinking, made into characters (not brain parts): Whim is the fast first impulse that jumps to the answer that FEELS right; Muse is the slow, careful second look that catches the trap. Mentor Solon keeps the studio calm — a bias isn't a failing, it's how everyone's fast brain works; naming it is how you catch it. And every finding carries a science-meter: is this solid, still argued, or a famous claim that didn't hold up? (Illustrated portraits + chapters, and a fuller cast of debiasing moves, are a tracked follow-on — R-WEB-CLONE-SPAWN-TRACKED.)

W

Whim

The fast first impulse (System 1) — jumps to the answer that feels right, and walks straight into the trap so you can see it

M

Muse

The slow, careful second look (System 2) — pauses, does the one check the trap counts on you to skip, and catches the bias

S

Solon

(Mentor) — a bias isn't a failing, it's how everyone's fast brain works; name it and you can beat it. Always ask how sure the scientists really are.

What's distributed-narrative methodology? →

What's inside

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Learning goal

Run the famous experiments about how your brain fools itself — on YOURSELF. Guess the anchored number, fall for the bat-and-ball, meet the Linda problem. Each reveals the trap by name (anchoring, framing, base-rates, the peak-end rule…), tells you how sure scientists actually are, and shows the slow move that catches it. Once you can name a trick, you can beat it. No timer, no score to chase; on-device, no account. Ages 9–14.

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Question kits

16 curriculum-aligned kits × 25 questions = 400 questions per app, mapped to recognized standards.

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On-device AI mentor

FoundationModels-powered hints, feedback, and adaptive difficulty — all running locally.

Mentored by Solon — on-device AI, no data leaves the device.

How BiasForge handles your kid's data

  • ✅ All progress, settings, and AI-generated content stays on the device
  • ✅ No analytics, no tracking, no third-party SDKs
  • ✅ No ads, no in-app purchases — you pay once
  • ✅ COPPA compliant under the 2026 FTC amendments
  • ✅ Parental controls + session limits + content filters built in

Full parent privacy guide →

Built with ForgeKit

BiasForge runs on ForgeKit — the open-source Swift Package Manager framework that powers every Spark & Anvil app. ForgeKit ensures consistent accessibility, COPPA compliance, and design language across the portfolio, so your kid's progress and preferences feel coherent across every app they touch.

Coming to the App Store

BiasForge is in active development. Email us to hear when it ships — no marketing, no spam, just a one-shot launch announcement.

Email me at launch

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