I should have loved biology (2020)

Original Article ↗ Hacker News Discussion ↗

Dating and context of the essay

  • Commenters infer the piece is from late 2020 based on archive dates and its references to early COVID-19 coverage.
  • It has been posted to Hacker News multiple times; several people are glad for the repost because they missed earlier discussions.

Teaching biology: memorization vs wonder

  • Many agree with the essay’s critique: school biology is often presented as lifeless memorization (Krebs cycle, cell parts, taxonomy lists) rather than a “quest for the secrets of life.”
  • Others push back, saying modern high-school/undergrad courses (especially outside the US) already cover concepts like gene regulation, alternative splicing, and the history of genetics.
  • Several emphasize “how we found out” (experiments, historical development) as more engaging than “what we know.”

Role of teachers and educational constraints

  • Strong consensus that teacher quality and passion dramatically shape whether students love or hate biology (and any subject).
  • Counterpoint: it’s not fair to fully “blame” teachers; they must cover broad curricula for large, mixed-ability classes, often under bureaucratic and testing pressure.
  • Some note that many students themselves prefer rote methods to pass exams, resisting deeper conceptual explanations.

Complexity and uniqueness of biology

  • Biology is described as uniquely complex and “leaky” compared to physics or math, with huge numbers of interacting parts and many exceptions to every rule.
  • There is debate over whether biology is somehow special or just “a massive amount of complexity” like weather patterns or planetary clouds.
  • Several highlight that interesting parts (immunology, development, systems biology, ecology) only become accessible after substantial groundwork.

Need for better tools and models

  • A major thread echoes the essay’s call for new ways to reason about living systems, beyond text and static diagrams.
  • People suggest rich visualizations (e.g., modern 3D cell animations), computational modeling, and eventually AI-assisted interactive diagrams as promising directions.
  • Some argue human cognition may be intrinsically limited for full biological understanding, making computational tools essential.

Resources and re-learning science as adults

  • Commenters recommend classic molecular and cell biology textbooks, systems-biology texts, popular-science overviews, online lectures, and problem-based sites that mix coding with bio problems.
  • Several report rediscovering a love of biology, geology, or physics later in life, often via better explanations or different media.