BS Detection Phase 0: Human-in-the-Loop Approach
· 3 min read
The Problem: Subtle BS in Complex Systems
As our Mercury trading system has grown more sophisticated, we've encountered an increasing number of subtle "BS" issues - data inconsistencies, semantic misrepresentations, and logical contradictions that can lead to poor decision-making. These issues are particularly challenging because they often involve data that is technically correct but semantically misleading.
A recent example highlighted this problem: volume slope (a percentage change value) was being formatted with volume suffixes (M for millions), completely changing its meaning from "439.74%" to "439.74 million" - a representation that could lead to dramatically wrong interpretations.