Study Proposes Fairer Way to Test YouTube Video Length and Upload Day Advice

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A DEV Community post argues that raw view counts are a misleading basis for YouTube advice about video length and posting day. It identifies three main confounders: video age, channel size, and outlier videos that skew averages. The proposed method compares views per day for each video against its own channel's median, groups results by length and weekday, and reports medians alongside sample sizes. The author also notes survivorship bias from deleted videos, so results should be treated as hints rather than firm conclusions. The approach relies on the Best Damn YouTube Scraper Apify Actor, which pulls public data through the YouTube Data API v3.

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