Former FBI Agent Explains How to Detect Lying & Deception | Tradecraft | WIRED
Published January 27, 2020
At a glance
Views
4,613,387
Likes
106,160
Comments
5,174
Performance vs. channel
All-time outlier score
Engagement rate
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About
There are a number of myths about detecting deception. Fidgeting, looking away, touching your mouth, all of these things are commonly thought to be practices that indicate deception. Jim Clemente, former Supervisory Special Agent for the FBI, explains why that isn't always the case and how people like him can decipher …
- Published
- January 27, 2020
- Made for kids
- No
More features coming
We're working on new analytics and tools. Stay tuned.
How Former FBI Agent Explains How to Detect Lying & Deception | Tradecraft | WIRED is doing
It has 4.61M views in total. It ranks #1,729,918 among tracked YouTube videos by views.
Key facts about Former FBI Agent Explains How to Detect Lying & Deception | Tradecraft | WIRED
- Total views
- 4.61M
- Total likes
- 106K
- Total comments
- 5.17K
- Published
- January 27, 2020
- Global rank by views
- #1,729,918
Frequently asked questions
How many views does Former FBI Agent Explains How to Detect Lying & Deception | Tradecraft | WIRED have?
Former FBI Agent Explains How to Detect Lying & Deception | Tradecraft | WIRED has 4,613,387 views, 106,160 likes and 5,174 comments, ranking #1,729,918 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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