备受推崇的邓宁-克鲁格效应（Dunning-Kruger Effect）的科学基础正受到质疑。[1]该效应由David Dunning和Justin Kruger在1999年提出，其核心观点是：在不擅长的任务中，人们倾向于高估自己的能力；而在擅长的任务中，反而容易低估自己。[1]然而，近年来的研究表明这一广为流传的心理学现象可能只是统计学假象。[1]
2016-2017年发表的论文指出，仅凭随机数据就能复现原始的邓宁-克鲁格效应图形。[1]研究者Ed Nuhfer的数据显示，只有约5-6%的低技能者不知道自己不擅长，而专家和新手在高估和低估技能方面的频率相当。[1]Patrick McKnight等人使用计算机生成的随机数据重现了原始效应的图表特征，进一步印证了这一发现。[1]研究者认为，自我评估测量的根本性不可靠是造成这一假象的主要原因，而非真实存在的心理认知偏差。[1]尽管如此，关于邓宁-克鲁格效应的讨论仍然广泛传播，Google News搜索该术语返回了超过8500条结果。[1]
The validity of the Dunning-Kruger effect, a widely cited psychological principle introduced in 1999 by David Dunning and Justin Kruger, has come under significant scrutiny [1]. The original effect described a cognitive bias in which people performing poorly at unfamiliar tasks tend to overestimate their competence, while those skilled at tasks tend to underestimate their abilities [1]. However, recent scholarly analysis suggests this apparent phenomenon may be an artifact of measurement methodology rather than a genuine psychological bias [1].
Research published between 2016 and 2017 by Ed Nuhfer and colleagues demonstrated that the signature pattern of the Dunning-Kruger effect could be reproduced using randomly generated data [1]. When examining actual performance data, Nuhfer's findings revealed that approximately 5–6 percent of individuals lacking skill were unaware of their deficiency, while experts and novices showed comparable rates of both overestimating and underestimating their abilities [1]. Patrick McKnight further corroborated this finding by using computer-generated random datasets to replicate the graphical patterns presented in the original experiments [1]. The unreliability of self-assessment measurement has been identified as a principal factor contributing to the illusory effect [1]. Despite these challenges to its validity, the Dunning-Kruger effect maintains considerable visibility, with a Google News search generating more than 8,500 results [1].