紐約大學的網路民族誌學者 Ruby Thelot 認為，病毒式傳播已經不再是衡量文化影響力的有效指標。由於古德哈特定律的作用，人們為了追求點閱率而刻意設計內容，忽略了事物本身的內在價值。這導致許多所謂的流行趨勢只是強迫推銷的結果，侷限在孤立的數位島嶼中，而無法真正融入主流文化。

近年來關於交友軟體倦怠和異性戀悲觀主義的討論甚囂塵上，但數據顯示這種現象被過度誇大了。透過分析社群媒體上百萬觀看次數的影片，發現實際上只有約百分之二十五的內容呈現負面情緒。這種普遍的倦怠感更多是文化作家的主觀建構，而非大眾的普遍現實。

對於預測市場的流行，這不僅是金融投資，更是年輕人參與文化及建立男性情誼的新方式。而在人工智慧的發展上，過度強調智力是一種危險的迷思，因為解決全球問題的瓶頸在於人類的合作而非單純的智力。唯有智力至上的觀念，將可能讓我們犧牲掉人類珍貴的情感、身體與藝術等多方面的智慧。

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.