Episode-3 | Why Smart People Complicate Simple Problems | Prof. Mukesh Sud with Kapil Gupta #tsk
Published September 10, 2026
At a glance
Views
12,543
Likes
29
Comments
104
Performance vs. channel
All-time outlier score
Engagement rate
More features coming
We're working on new analytics and tools. Stay tuned.
About
We have more information, more technology and more access to knowledge than any generation before us. So why do we still struggle to solve simple problems? In Episode 3 of Truth Shots with Kapil - Season 5, Kapil Gupta sits down with Prof. Mukesh Sud, entrepreneur, academic and author of Simple Thinking, for a conver…
- Published
- September 10, 2026
- Made for kids
- No
More features coming
We're working on new analytics and tools. Stay tuned.
How Episode-3 | Why Smart People Complicate Simple Problems | Prof. Mukesh Sud with Kapil Gupta #tsk is doing
It has 12.5K views in total. It ranks #15,085,367 among tracked YouTube videos by views.
Key facts about Episode-3 | Why Smart People Complicate Simple Problems | Prof. Mukesh Sud with Kapil Gupta #tsk
- Total views
- 12.5K
- Total likes
- 29
- Total comments
- 104
- Published
- September 10, 2026
- Global rank by views
- #15,085,367
Frequently asked questions
How many views does Episode-3 | Why Smart People Complicate Simple Problems | Prof. Mukesh Sud with Kapil Gupta #tsk have?
Episode-3 | Why Smart People Complicate Simple Problems | Prof. Mukesh Sud with Kapil Gupta #tsk has 12,543 views, 29 likes and 104 comments, ranking #15,085,367 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.