7:20Long-form

Calling Bullshit 3.3: Spurious Correlations

Published May 3, 2017

Views 38.6K  |  Likes 322  |  Comments 10
Views#12,911,303Global
Views#1,889,487Unknown country

Channel

UW Information SchoolUW Information School
9.8K subs•132 videos•Mar 2009

At a glance

Views

38,667

Likes

322

Comments

10

Performance vs. channel

All-time outlier score

Engagement rate

Revenue estimate

Details →

Total (all-time): $27 – $77

Based on estimated $0.7–$2 CPM.

About

We look at Tyler Vigen’s silly examples of quantities appear to be correlated over time, and note that scientific studies may accidentally pick up on similarly meaningless relationships. Course: INFO 198 / BIOL 106B. University of Washington Instructors: Carl T. Bergstrom and Jevin West Synopsis: Our world is saturate…

Published
May 3, 2017
Made for kids
No

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How Calling Bullshit 3.3: Spurious Correlations is doing

It has 38.6K views in total. It ranks #12,911,303 among tracked YouTube videos by views.

Key facts about Calling Bullshit 3.3: Spurious Correlations

Total views
38.6K
Total likes
322
Total comments
10
Published
May 3, 2017
Global rank by views
#12,911,303

Frequently asked questions

How many views does Calling Bullshit 3.3: Spurious Correlations have?

Calling Bullshit 3.3: Spurious Correlations has 38,667 views, 322 likes and 10 comments, ranking #12,911,303 among tracked YouTube videos by views.

How accurate are these YouTube video analytics?

View, like, and comment counts come from YouTube's public API and refresh regularly. Growth and revenue figures are estimates built from tracked historical data, so they can differ slightly from what the creator sees privately in YouTube Studio.

What is the outlier score?

How this video's views compare to the channel's usual Shorts or long-form video. A 2x score means double the usual views for that channel, 0.5x means half.

What is engagement rate and how is it calculated?

Likes and comments per view, compared to this channel's typical engagement rate — shown as above or below what's usual for the channel.

How is the revenue estimate calculated?

It's a rough public estimate based on a $0.7–$2.0 CPM (revenue per 1,000 views) applied to view count — not actual creator earnings, which depend on ad rates, audience geography, and monetization settings YouTube doesn't expose publicly.

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