Decoder with Nilay Patel Recode Decode: Kevin Systrom
Apr 6, 2020
In a riveting discussion, Kevin Systrom, co-founder and former CEO of Instagram, shares his insights on data analysis related to the coronavirus pandemic. He applies strategies from Instagram to understand the viral spread of the virus, emphasizing how critical data can inform public health responses. Systrom reveals his model predicts a peak in COVID-19 cases by mid-May, expressing hopes it's wrong. He also reflects on his journey since leaving Facebook in 2018 and his commitment to tackling misinformation during this crisis.
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Data-Driven Decisions at Instagram
- Kevin Systrom used data at Instagram to understand user behavior and product growth.
- For example, analyzing a dip in Stories usage revealed it correlated with the Southern Hemisphere's school schedule.
Data is Data
- Data analysis principles apply across disciplines, from business to epidemiology.
- Systrom applied his data science skills to model the coronavirus pandemic.
Bimodal Outcome Prediction
- Systrom's initial coronavirus model predicted a bimodal outcome: either rapid containment or widespread infection.
- This highlighted the crucial role of early intervention.