Unverified50% confidenceTradeoffExact time
The sample distribution represented by the 95.8% figure may deviate from the types of vulnerabilities encountered in real-world work, as entries that are difficult to evaluate automatically tend to be high-severity vulnerabilities with complex logic and longer exploit chains.
1
Sources
50%
Confidence
Long-term
Relevance
10/11/2026
First Seen
Sources
Related Entities
Related Claims
UnverifiedBias introduced by a single defective data point can leak into seemingly unrelated capability dimensions, causing the model to simultaneously regress across multiple independent metrics such as deceptiveness, compliance, and risk aversion.76% similarUnverifiedWhen measurement instruments have systematic biases, the conclusions drawn may be misleading no matter how sophisticated the statistical methods are.73% similarUnverifiedSystematic magnitude errors are more insidious and more dangerous than random errors, because the answers appear numerically plausible in structure yet deviate by an order of magnitude.73% similarUnverifiedStatic analysis tools must make trade-offs between precision and recall: being too strict produces a large number of false positives, while being too lenient misses real bugs.73% similarUnverified绝对偏差通常可通过标定来补偿,而重复性差意味着误差随机不可预测,很难通过校准解决73% similar
Cite This Claim
Stable URI
https://kongchang.com/claim/996933API
curl https://kongchang.com/api/v1/knowledge/claims/996933MCP
get_claim(id=996933)