How statistics can be misleading - Mark Liddell
Published January 14, 2016
This video has 1.74M views and 35.1K likes, ranking #1,776,848 globally among tracked YouTube videos by view count.
At a glance
Views
1,744,960
Likes
35,150
Comments
902
Performance vs. channel
Outlier score
Engagement rate
More features coming
We're working on new analytics and tools. Stay tuned.
About
Explore the statistical phenomenon known as Simpson’s paradox, and how it can lead to incorrect conclusions about data. -- Statistics are persuasive. So much so that people, organizations, and whole countries base some of their most important decisions on organized data. But any set of statistics might have something…
- Published
- January 14, 2016
- Made for kids
- No
More features coming
We're working on new analytics and tools. Stay tuned.
Frequently asked questions
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.
Is this YouTube video analytics checker free?
Yes. You get 10 free channel and video analytics lookups per rolling hour without an account — logging in, which is also free, removes that limit entirely.