0:51Shorts

Why Overconfidence Can Be Dangerous! #shorts

IndiaPublished November 9, 2024

Views 86.1K  |  Likes 7.55K  |  Comments 79
Views#13,057,695Global
Views#2,526,264India

Channel

Vijender MasijeeviVijender Masijeevi
2.15M subs•843 videos•Jun 2007

At a glance

Views

86,157

Likes

7,557

Comments

79

Performance vs. channel

All-time outlier score

Engagement rate

Revenue estimate

Details →

Total (all-time): $60 – $172

Based on estimated $0.7–$2 CPM.

About

In this insightful video, we delve into the psychological concept of the Dunning-Kruger Effect — a cognitive bias where people with limited knowledge or experience overestimate their understanding and abilities. Known by the popular phrase, “अधजल गगरी छलकत जाए,” this concept explains why overconfidence often comes from…

Published
November 9, 2024
Made for kids
No

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How Why Overconfidence Can Be Dangerous! #shorts is doing

It has 86.1K views in total. It ranks #13,057,695 among tracked YouTube videos by views.

Key facts about Why Overconfidence Can Be Dangerous! #shorts

Total views
86.1K
Total likes
7.55K
Total comments
79
Published
November 9, 2024
Global rank by views
#13,057,695

Frequently asked questions

How many views does Why Overconfidence Can Be Dangerous! #shorts have?

Why Overconfidence Can Be Dangerous! #shorts has 86,157 views, 7,557 likes and 79 comments, ranking #13,057,695 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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