Garry Kasparov vs Deep Blue: How Did IBM's Rookie Supercomputer Really Beat a Chess Grandmaster?
Published May 25, 2020
At a glance
Views
4,775
Likes
40
Comments
13
Performance vs. channel
All-time outlier score
Engagement rate
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About
Garry Kasparov vs Deep Blue: How Did IBM's Rookie Supercomputer Really Beat a Chess Grandmaster? The chess drama started with a benign 1996 match that began and ended well on both sides. Kasparov considered it less of a chess match than an experiment that could help develop the game, computer science, and humanity as …
- Published
- May 25, 2020
- Made for kids
- No
More features coming
We're working on new analytics and tools. Stay tuned.
How Garry Kasparov vs Deep Blue: How Did IBM's Rookie Supercomputer Really Beat a Chess Grandmaster? is doing
It has 4.77K views in total. It ranks #14,576,553 among tracked YouTube videos by views.
Key facts about Garry Kasparov vs Deep Blue: How Did IBM's Rookie Supercomputer Really Beat a Chess Grandmaster?
- Total views
- 4.77K
- Total likes
- 40
- Total comments
- 13
- Published
- May 25, 2020
- Global rank by views
- #14,576,553
Frequently asked questions
How many views does Garry Kasparov vs Deep Blue: How Did IBM's Rookie Supercomputer Really Beat a Chess Grandmaster? have?
Garry Kasparov vs Deep Blue: How Did IBM's Rookie Supercomputer Really Beat a Chess Grandmaster? has 4,775 views, 40 likes and 13 comments, ranking #14,576,553 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.