Dlaczego Chiny przegrały swoją przyszłość? II prof. Michał Kopczyński
Published October 11, 2026
At a glance
Views
373,182
Likes
5,215
Comments
482
Performance vs. channel
All-time outlier score
Engagement rate
More features coming
We're working on new analytics and tools. Stay tuned.
About
- Które wynalazki naprawdę zmieniły świat? - Czy sztuczna inteligencja odbierze nam pracę? - Kto naprawdę wygrał wojnę prądów: Edison czy Tesla? - Dlaczego Henry Ford dał się wyprzedzić konkurencji? - Co świat zawdzięcza polskim wynalazcom? Na te i wiele innych pytań odpowiedzi udzieli prof. Michał Kopczyński, history…
- Published
- October 11, 2026
- Made for kids
- No
More features coming
We're working on new analytics and tools. Stay tuned.
How Dlaczego Chiny przegrały swoją przyszłość? II prof. Michał Kopczyński is doing
It has 373K views in total. It ranks #7,958,097 among tracked YouTube videos by views.
Key facts about Dlaczego Chiny przegrały swoją przyszłość? II prof. Michał Kopczyński
- Total views
- 373K
- Total likes
- 5.21K
- Total comments
- 482
- Published
- October 11, 2026
- Global rank by views
- #7,958,097
Frequently asked questions
How many views does Dlaczego Chiny przegrały swoją przyszłość? II prof. Michał Kopczyński have?
Dlaczego Chiny przegrały swoją przyszłość? II prof. Michał Kopczyński has 373,182 views, 5,215 likes and 482 comments, ranking #7,958,097 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.