THE $9 BILLION LIE: How Elizabeth Holmes Fooled Silicon Valley | #financial fraud #crimebusiness
Published September 4, 2026
At a glance
Views
23
Likes
3
Comments
0
Performance vs. channel
All-time outlier score
Engagement rate
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About
The rise and fall of Elizabeth Holmes and Theranos is Silicon Valley's biggest fraud. From a 19-year-old Stanford dropout on the 2014 Forbes cover worth $4.5 billion to 40 Walgreens clinics promising 240 tests from one finger prick, it traces how $944.6 million was raised while the Edison device could run only 12 tests…
- Published
- September 4, 2026
- Made for kids
- No
More features coming
We're working on new analytics and tools. Stay tuned.
How THE $9 BILLION LIE: How Elizabeth Holmes Fooled Silicon Valley | #financial fraud #crimebusiness is doing
It has 23 views in total. It ranks #15,250,438 among tracked YouTube videos by views.
Key facts about THE $9 BILLION LIE: How Elizabeth Holmes Fooled Silicon Valley | #financial fraud #crimebusiness
- Total views
- 23
- Total likes
- 3
- Total comments
- 0
- Published
- September 4, 2026
- Global rank by views
- #15,250,438
Frequently asked questions
How many views does THE $9 BILLION LIE: How Elizabeth Holmes Fooled Silicon Valley | #financial fraud #crimebusiness have?
THE $9 BILLION LIE: How Elizabeth Holmes Fooled Silicon Valley | #financial fraud #crimebusiness has 23 views, 3 likes, ranking #15,250,438 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.
Is this YouTube video analytics checker free?
Yes. You get 10 free channel and video analytics lookups per 24 hours without an account — logging in, which is also free, removes that limit entirely.