방사선을 먹어치우는 생명체를 우주선 밖에 냅뒀더니 벌어진 일 (외계생명체 감염..?) | 과학을 보다 EP.173
Published February 21, 2026
At a glance
Views
1,048,512
Likes
9,780
Comments
359
Performance vs. channel
All-time outlier score
Engagement rate
More features coming
We're working on new analytics and tools. Stay tuned.
About
📺오늘의 주제: 방사선을 먹어 치우는 생물의 정체 ✅오늘의 출연자 1. MC 정영진🎙️ 2. 천문학자 지웅배 교수🚀 3. 물리학자 김범준 교수🍞 4. 화학자 장홍제 교수💣 5. 미생물학자 김응빈 교수🦠 ✅타임라인 00:00 오프닝 01:24 1000년이 지나도 닳지 않는 연필 05:33 달에 갈 때 물을 안 챙겨가도 되는 이유 13:10 방사선까지 먹어치우는 사상 최강의 생명체 19:48 방사선을 맞을수록 강해지는 물질의 정체 26:15 세균만 골라 죽이는 바이러스가 인류의 희망인 이유 🚀 ‘과학을 보다’ 질문 게시판 https://caf…
- Published
- February 21, 2026
- Made for kids
- No
More features coming
We're working on new analytics and tools. Stay tuned.
How 방사선을 먹어치우는 생명체를 우주선 밖에 냅뒀더니 벌어진 일 (외계생명체 감염..?) | 과학을 보다 EP.173 is doing
It has 1.04M views in total. It ranks #4,763,747 among tracked YouTube videos by views.
Key facts about 방사선을 먹어치우는 생명체를 우주선 밖에 냅뒀더니 벌어진 일 (외계생명체 감염..?) | 과학을 보다 EP.173
- Total views
- 1.04M
- Total likes
- 9.78K
- Total comments
- 359
- Published
- February 21, 2026
- Global rank by views
- #4,763,747
Frequently asked questions
How many views does 방사선을 먹어치우는 생명체를 우주선 밖에 냅뒀더니 벌어진 일 (외계생명체 감염..?) | 과학을 보다 EP.173 have?
방사선을 먹어치우는 생명체를 우주선 밖에 냅뒀더니 벌어진 일 (외계생명체 감염..?) | 과학을 보다 EP.173 has 1,048,512 views, 9,780 likes and 359 comments, ranking #4,763,747 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.