Powers-of-Ten Information Biases
研究发现，当数字信息被放大或缩小十倍时，人们很难察觉这种偏差，即使偏差很大或明确提醒，检测率依然很低；但能察觉偏差的人会使用更有效的搜索和验证策略。
Powers-of-ten information biases arise when recurring numeric information is consistently inflated or deflated by a power of ten. Such biases are difficult to detect because the information stream is internally consistent and external verification is impeded. This study confirms earlier findings that information bias detection rates are low. It extends those findings by demonstrating that bias detection does not increase significantly with bias magnitude or specific detection instructions, two often-suggested detection factors: Bias detectors do, however, employ more effective misinformation search and verification strategies than non-detectors. Therefore, IS research should investigate other strategies as well as the possibility that information biases contribute to poor decisions and dissatisfaction with information systems.