The later we meet someone in a sequence, the more negatively we describe them

Perceived Ordering Effects in Evaluations

• Many commenters connect the result to lived experience: wanting to present early in class, pitch early or late in demo days, or schedule interviews just after lunch to avoid fatigue and comparison overload.
• Several note that middle-of-the-pack candidates or presentations tend to blur together and be less memorable than those at the start or end.

Relationship to Known Biases and Theories

• The effect is linked to anchoring and sequential anchoring: early items set a reference point against which later ones are judged more harshly.
• Some see tension with recency bias and expect an “inverted U” (early + late advantages) rather than a simple monotonic decline.
• Hiring/order strategies are compared to the “secretary problem,” though multiple commenters argue that model doesn’t fit real hiring where decisions can be delayed and multiple good outcomes exist.

Methodology, Validity, and Replication Skepticism

• Multiple commenters are wary of popular-psychology claims, likening this to other social-psych effects that failed to replicate.
• Concerns include:
  • Use of Facebook photos or reality-TV contestants as stimuli, which may not generalize to real hiring or social contexts.
  • Counting positive words rather than numeric ratings, and possible confounds from fatigue, shorter later descriptions, or participants just wanting to finish.
  • Ease of faking such datasets and the broader replication/fraud issues in behavioral science.
• Some psychologists in the thread explicitly caution that the protocol measures immediate impressions, not final decisions.

Alternative Explanations and Nuances

• Suggested mechanisms include calibration over time (initial “rounding up,” later penalizing), familiarity with early examples, and participants feeling pressure to say something “new,” pushing them toward more negative descriptors later.
• Others argue that in real hiring/auditions, teams deliberately calibrate, take notes, and compare afterward, which may reduce or change the ordering effect.

Practical and Ethical Implications

• Commenters highlight fairness concerns in interviews, auditions, university admissions, and even legal trials, especially under fatigue and time pressure.
• Some propose mitigations: batching candidates, detailed note-taking, delayed decisions, or AI-assisted moderation of sequential biases, though their effectiveness remains unclear.