30 years after: A Retrospective into Intel's infamous Pentium FDIV Bug [Colani Restoration Pt. 4]
Published February 11, 2024
At a glance
Views
12,272
Likes
501
Comments
127
Performance vs. channel
All-time outlier score
Engagement rate
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About
6 million flawed Pentium CPU, 10 Lawsuits, 475M US$ in direct cost, a stocks value drop, huge media backlash and all in between, Intel, a company in denial: When Prof. Thomas R. Nicely uncovered the Pentium FDIV bug in 1994, it quickly turned out to become one the biggest PR disasters of all time. Q: How many Intel En…
- Published
- February 11, 2024
- Made for kids
- No
More features coming
We're working on new analytics and tools. Stay tuned.
How 30 years after: A Retrospective into Intel's infamous Pentium FDIV Bug [Colani Restoration Pt. 4] is doing
It has 12.2K views in total. It ranks #13,563,922 among tracked YouTube videos by views.
Key facts about 30 years after: A Retrospective into Intel's infamous Pentium FDIV Bug [Colani Restoration Pt. 4]
- Total views
- 12.2K
- Total likes
- 501
- Total comments
- 127
- Published
- February 11, 2024
- Global rank by views
- #13,563,922
Frequently asked questions
How many views does 30 years after: A Retrospective into Intel's infamous Pentium FDIV Bug [Colani Restoration Pt. 4] have?
30 years after: A Retrospective into Intel's infamous Pentium FDIV Bug [Colani Restoration Pt. 4] has 12,272 views, 501 likes and 127 comments, ranking #13,563,922 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?
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