Why Do We Grieve? - Robin May

Why Do We Grieve? - Robin May

🎙 Robin May 👥 450K 📅 January 27, 2026 ⏱ 46 min 👁 18K 📄 expert opinion 🧭 2026-08-05
Available in: English (current) Français

Keywords

griefbrainevolutionemotionloss

Summary

In this lecture, Professor Robin May explores the universal yet puzzling emotion of grief. He begins by defining grief as deep sorrow in response to an irretrievable loss, and highlights its evolutionary paradox: why would such a debilitating emotion persist? He suggests that grief in adults may be an unavoidable consequence of childhood attachment behaviors, which are crucial for survival. The lecture then examines the neural basis of grief, showing that it involves a complex network of brain regions, including those associated with pain and reward. This explains why grief feels physical and why the brain may reinforce it. May also discusses the potential social and memory functions of grief, and presents evidence of grief-like behaviors in animals. He addresses the clinical aspects, including prolonged grief disorder and ambiguous loss, and the physical health impacts of grief, such as cardiovascular strain. Finally, he considers modern extensions of grief, such as attachment to pets and digital mourning, and reflects on whether grief is ultimately worth the pain, quoting Tennyson.

168 words

Critical Evaluation

The lecture provides a comprehensive and engaging overview of grief from multiple scientific perspectives. Professor May effectively integrates evolutionary biology, neuroscience, and psychology to explain why we grieve. The argument that adult grief is a byproduct of childhood attachment is compelling and well-supported by evolutionary reasoning. The discussion of the brain’s reward circuitry in relation to grief is particularly insightful, as it explains the paradoxical reinforcement of a painful emotion. The lecture also touches on important clinical aspects, such as prolonged grief disorder and the limited efficacy of pharmacological treatments, while highlighting the promise of cognitive-behavioral therapy. The inclusion of animal grief and modern digital mourning broadens the scope and makes the content relatable. However, the lecture is a general overview rather than a deep dive into specific studies, and some claims could benefit from more detailed citations. The speaker’s expertise and the institutional backing of Gresham College lend credibility, but the lack of explicit references in the video itself is a minor limitation. Overall, the lecture is scientifically sound, thought-provoking, and accessible, making it a valuable resource for understanding the complexities of grief.

184 words

Title / Content Match

The title accurately reflects the content, which explores the evolutionary, neurological, and psychological aspects of grief.

Quality & Reliability

8/10

Lecture by a professor at Gresham College, presenting scientific evidence on grief from neuroscience, evolutionary biology, and psychology. The content is well-structured and references established research, though it is a general overview rather than a detailed academic review.

Chapters

Cited Sources

  • Gresham College - Why Grieve? — Official page for this lecture, providing additional resources and information.
  • Q&A session — Follow-up Q&A session with Professor Robin May on the topic of grief.

Concurring Sources

  • Gresham College - Why Grieve? — Official page for this lecture, providing additional resources and information.

Contribution & Novelties

The lecture synthesizes current scientific understanding of grief, offering a clear evolutionary and neurological framework. It highlights the role of reward circuitry in grief, which is a less commonly discussed aspect. The discussion of modern grief, including digital mourning, provides a contemporary perspective.

Pour aller plus loin :

82 words

Radar Profile

The radar profile shows high scores in information quantity, quality, and reliability, with a moderate technical level. This indicates a well-balanced lecture that is both informative and accessible, with a strong scientific foundation.

Reliability 8/10