This is a teenager

Original Article ↗ Hacker News Discussion ↗

An interactive data story about a U.S. teenager’s life course, based on a longitudinal survey, argues that adverse childhood experiences strongly shape adult income, health and happiness. Commenters praise the ambition and topic—how poverty, family structure, trauma and education interact over decades—but find the visual design confusing and the causal claims stronger than the underlying correlations justify. Much of the debate turns to policy and ethics: whether to focus on parenting, social safety nets, education, or structural inequality, and how to help at‑risk kids without lapsing into fatalism or erasing individual agency.

Visualization & UX

  • Many found the scrolling animation impressive but frustrating: scroll‑jacking, jank on mobile, broken states when scrolling back, and even browser crashes.
  • Core criticisms:
    • Cohort “bars” have different widths, making visual comparison of proportions misleading.
    • Color semantics change between slides, causing cognitive dissonance.
    • Some legends appear reversed (e.g., “seen someone shot”), leading to misinterpretation.
    • Individual datapoint motion makes it hard to see who changed vs just moved.
  • Several people preferred static charts or the YouTube video over the interactive.

Interpretation of the Data

  • A common reaction: the narrator’s rhetoric overstates what the visuals show. Differences between “no/some/many adverse experiences” appear modest, especially for income and GPA.
  • Others, after counting or looking more carefully, argued the effects are substantial in relative terms (e.g., 2–3× higher rates of bad outcomes), just visually under‑emphasized.
  • Health and subjective happiness differences looked more dramatic than income or education.
  • Some noted that many with “many adverse experiences” still attend college or end up high‑earning, and many with “no adverse” do poorly, complicating a simple victim‑story.
  • The race section and color choices were seen by some as confusing or biased.

Correlation, Causation, and Genetics

  • Multiple commenters stressed that this is an observational, correlational dataset; it cannot by itself prove causation.
  • Some argued that many adverse experiences are entangled with poverty and neighborhood; others emphasized genetic confounds and cited adoption/twin research referenced in the thread.
  • Debates around how much is “parenting style,” how much is environment, and how much is heritable traits (e.g., impulse control, IQ).

Policy, Responsibility, and Ideology

  • Strong disagreement over the conclusion that “these kids are our collective responsibility”:
    • One camp supports systemic remedies: stronger safety nets, better schools, housing, healthcare, earlier ACE screening, support for parents, and neighborhood investment.
    • Another camp emphasizes personal responsibility, warns against a “victim mentality,” and questions whether policies (welfare, minimum wage, college‑for‑all) create perverse incentives.
  • Recurrent themes: importance of stable two‑parent families, positive adult mentors, and the potential of college vs trades vs military as “escape routes.”

Personal Testimonies

  • Several readers with high ACE scores shared stories of abuse, poverty, or instability, and described both long‑term scars and the role of a few key adults, institutions, or opportunities in helping them “make it out.”