Unverified50% confidenceOpinionExact time
Real-world data is typically not clean, containing missing values, unusual formats, and duplicate records.
1
Sources
50%
Confidence
Long-term
Relevance
10/8/2026
First Seen
Sources
Related Claims
UnverifiedTabular data is riddled with missing values, heterogeneous data types, inconsistent encoding schemes, and domain-specific noise, which distinguishes it from structured, continuous data such as images and text.78% similarUnverifiedIn structured query scenarios, hallucinations can appear in the form of numbers that seem plausible but are actually incorrect, and once they enter a data pipeline they propagate silently with extremely high investigation costs72% similarUnverified合成数据可能出现模式坍塌导致多样性不足、遗漏尾部分布中稀有模式、在高维数据中引入不真实相关性等质量问题71% similarUnverifiedThe expiration of product documentation often stems from minor changes that no one specifically records, which is the blind spot hardest for any single data source to cover.71% similarUnverifiedOnce leaked, medical records often have long-lasting and difficult-to-reverse consequences, because the data cannot be reset like a password.70% similar
Cite This Claim
Stable URI
https://kongchang.com/claim/989166API
curl https://kongchang.com/api/v1/knowledge/claims/989166MCP
get_claim(id=989166)