纽约大学的网路民族志学者 Ruby Thelot 认为，病毒式传播已经不再是衡量文化影响力的有效指标。由于古德哈特定律的作用，人们为了追求点阅率而刻意设计内容，忽略了事物本身的内在价值。这导致许多所谓的流行趋势只是强迫推销的结果，局限在孤立的数位岛屿中，而无法真正融入主流文化。

近年来关于交友软体倦怠和异性恋悲观主义的讨论甚嚣尘上，但数据显示这种现象被过度夸大了。透过分析社群媒体上百万观看次数的影片，发现实际上只有约百分之二十五的内容呈现负面情绪。这种普遍的倦怠感更多是文化作家的主观建构，而非大众的普遍现实。

对于预测市场的流行，这不仅是金融投资，更是年轻人参与文化及建立男性情谊的新方式。而在人工智慧的发展上，过度强调智力是一种危险的迷思，因为解决全球问题的瓶颈在于人类的合作而非单纯的智力。唯有智力至上的观念，将可能让我们牺牲掉人类珍贵的情感、身体与艺术等多方面的智慧。

NYU cyber-ethnographer Ruby Thelot argues that virality is no longer an effective metric for measuring cultural impact. Driven by Goodhart’s law, people engineer content solely for views, neglecting inherent value. Consequently, many supposed trends are merely forced consumption confined within isolated digital islands rather than genuine mainstream phenomena.

While discussions about dating app burnout and heteropessimism have gained significant traction, data indicates that this narrative is largely overblown. An analysis of highly viewed social media videos revealed that only about twenty-five percent of the content is actually negative. This widespread sense of malaise appears to be constructed more by culture writers than it is a universal reality.

The rise of prediction markets represents more than financial speculation; it serves as a novel way for young people to participate in culture and foster male bonding. Regarding artificial intelligence, the obsession with raw intelligence is a dangerous myth, as global challenges require human coordination rather than just intellect. Prioritizing only cognitive power risks leaving behind essential human traits like emotional, bodily, and artistic intelligences.