a16z Podcast

a16z Podcast: A Guide to Making Data-Based Decisions in Health, Parenting... and Life

May 11, 2019
Emily Oster, a Brown University economics professor and author of 'Expecting Better,' joins Hanne Tidnam to explore the murky waters of data-driven decisions in parenting and health. They tackle pressing questions: Are chia seeds really beneficial? Does breastfeeding impact intelligence? The duo discusses the challenges parents face in interpreting conflicting research, the significance of personal preferences, and the misconceptions surrounding screen time. Oster emphasizes empowering parents with data while acknowledging the complexities inherent in scientific studies.
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INSIGHT

Observational Data Bias

  • Health recommendations often rely on observational data, comparing different groups.
  • This data is prone to bias because the groups often differ in other ways.
ANECDOTE

Peanut Allergy Study

  • A study on peanut allergies initially compared Jewish kids in the UK and Israel, finding lower allergy rates in Israel due to Bamba consumption.
  • This led to a randomized trial confirming early peanut exposure reduces allergies.
INSIGHT

Personalizing Decisions

  • Health and parenting decisions should be personalized.
  • Individual preferences often make it harder to draw clear conclusions from data.
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