Influence: लोगों को 'हाँ' कहने पर मजबूर करने के 6 Psychological नियम | Robert Cialdini
Published August 29, 2026
At a glance
Views
10,883
Likes
164
Comments
10
Performance vs. channel
All-time outlier score
Engagement rate
More features coming
We're working on new analytics and tools. Stay tuned.
About
Why do people say "yes" to some requests and "no" to others? Is it logic, emotion, or something far deeper? In this eye-opening Hindi book summary, we break down Robert Cialdini's "Influence: The Psychology of Persuasion" —one of the most important books ever written on understanding human behavior. Cialdini, a psychol…
- Published
- August 29, 2026
- Made for kids
- No
More features coming
We're working on new analytics and tools. Stay tuned.
How Influence: लोगों को 'हाँ' कहने पर मजबूर करने के 6 Psychological नियम | Robert Cialdini is doing
It has 10.8K views in total. It ranks #13,254,651 among tracked YouTube videos by views.
Key facts about Influence: लोगों को 'हाँ' कहने पर मजबूर करने के 6 Psychological नियम | Robert Cialdini
- Total views
- 10.8K
- Total likes
- 164
- Total comments
- 10
- Published
- August 29, 2026
- Global rank by views
- #13,254,651
Frequently asked questions
How many views does Influence: लोगों को 'हाँ' कहने पर मजबूर करने के 6 Psychological नियम | Robert Cialdini have?
Influence: लोगों को 'हाँ' कहने पर मजबूर करने के 6 Psychological नियम | Robert Cialdini has 10,883 views, 164 likes and 10 comments, ranking #13,254,651 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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