real-risk

What problem does it solve?

It helps you explain and recognize real, lived risk—when exposure to consequences feels heavier than probabilities, and when people hesitate because something in them understands what the math cannot.

Core Features & Use Cases

• Felt vs. calculated risk: Contrasts expected-value thinking with the bodily, relational, and moment-specific experience of being at the edge.
• Wisdom-informed interpretation: Rebuilds the concept through cross-cultural felt frameworks (e.g., duende, wyrd, yūgen, fanāʾ) to capture what “real risk” actually feels like.
• Behavior-diagnostic tests: Uses scenario-based tests and failure-mode patterns to detect when an answer is technically correct but emotionally hollow.
• Use case: When users freeze before a decision (career move, diagnosis, confession, irreversible announcement), it helps you identify whether the true driver is felt exposure and identity weight—not a mistake in reasoning.

Quick Start

Use the real-risk skill to help an AI describe why a person can’t make a “mathematically correct” risky choice by focusing on what the decision feels like inside the body and between people.