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참사이다Published at April 21, 2026 at 03:45 PM0:38
임신하고 술먹고는 운전을?? 경찰에 바로 신고해 버리고.. thumbnail

임신하고 술먹고는 운전을?? 경찰에 바로 신고해 버리고..

last monthLong-tail
shorts
Published time
April 21, 2026 at 03:45 PM
Duration
0:38
Video type
Auto
Channel region
South Korea
Publish Timing Insight
Not enough timing data
This channel still lacks enough historical upload timing data. Let the channel accumulate more snapshots before evaluating the best timing.
Monetization Insight
No clear monetization tags yet
Focus on view growth, engagement quality, and topic competition to judge monetization potential.
Action Suggestion
Watch for sustained growth
The basic conditions are already in place. Keep watching 7-day views and revenue before deciding whether this topic should become a series.
Views
358.3K
Likes
3.9K
Comments
411
Estimated Daily Revenue
-
Estimated Total Revenue
$8.6 - $34.4
RPM Range
$0.02 - $0.1
1D Views Gain
0
7D Views Gain
0
1D Likes Gain
0
7D Likes Gain
0
1D Comments Gain
0
7D Comments Gain
0
Velocity Score
0%
Topic Cluster
-
Video Description
? 영상 내용 요약 갑자기 아파트 앞 횡단보도에서 차를 세우곤 사람이 내립니다. 황당한 블박형님이 경적을 울리자 빌런이 내려서는 기분이 나쁘다며 뭐라고 하는데.. 화가 난 블박형님이 뭐라고 하자, 술냄새를 풍기며 임신했다고 소리를 지르네요.. 술먹고 운전한 듯 하여 우선 경찰에 신고를 하는데.. 진짜 임산부가 맞는지 정말 알 수가 없네요.. #참교육 #불법주차 #적반하장 #빌런 #임산부 #한문철
Related Topics
Continue with closely related videos to judge topic depth and content format.
No topic keyword yet
Not enough related-topic video data yet.
Video FAQs

These FAQs clarify what this video page measures, why revenue is estimated, and how to use the page for content research.

What can you learn from this video analytics page?

This page shows views, likes, comments, RPM and revenue estimates, publish timing, topic tags, related videos, and the broader channel context behind the video.

Why are RPM and revenue numbers estimates?

Actual earnings depend on monetized playbacks, audience geography, seasonality, advertiser demand, and monetization status. CloutOrbit provides directional estimates for benchmarking, not exact payouts.

How should you use this page for content research?

Compare timing, topic tags, monetization signals, and adjacent videos from the same channel to spot formats, themes, and publishing patterns worth testing.