The original title is "Building Models in Two Worlds: From Latent Constructs to Behavioral Signals"

Short summary

The author contrasts PhD-era models that explain user engagement with industry models that predict behavior, noting the statistics are similar but the surrounding context differs entirely. The piece reflects on the philosophical shift from explanatory to predictive modeling. It's a short essay on the tension between academic and applied data science.

• •Contrasts academic explanatory models with industry predictive models
• •Notes that statistical methods stay similar but context changes entirely
• •Reflects on the shift from latent constructs to behavioral signals

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