29:31Long-form

城寨新聞(4)29/10/26:人工智能做醫生害死華裔軟件工程師內情 中期選舉兩黨競逐激烈 紐約時報揭露民主黨以賤招𠝹票 物色與共和黨對手同名同姓者參選製造混亂 阿拉斯加州參議院候選人有兩個蘇利文

CanadaPublished October 29, 2026

Views 67.7K  |  Likes 5.08K  |  Comments 173
Views#13,264,300Global
Views#176,625Canada

Channel

城寨 Singjai城寨 Singjai
358K subs•8.66K videos•Jun 2014

At a glance

Views

67,789

Likes

5,086

Comments

173

Performance vs. channel

All-time outlier score

Engagement rate

Revenue estimate

Details →

Total (all-time): $47 – $136

Based on estimated $0.7–$2 CPM.

About

Published
October 29, 2026
Made for kids
No

More features coming

We're working on new analytics and tools. Stay tuned.

How 城寨新聞(4)29/10/26:人工智能做醫生害死華裔軟件工程師內情 中期選舉兩黨競逐激烈 紐約時報揭露民主黨以賤招𠝹票 物色與共和黨對手同名同姓者參選製造混亂 阿拉斯加州參議院候選人有兩個蘇利文 is doing

It has 67.7K views in total. It ranks #13,264,300 among tracked YouTube videos by views.

Key facts about 城寨新聞(4)29/10/26:人工智能做醫生害死華裔軟件工程師內情 中期選舉兩黨競逐激烈 紐約時報揭露民主黨以賤招𠝹票 物色與共和黨對手同名同姓者參選製造混亂 阿拉斯加州參議院候選人有兩個蘇利文

Total views
67.7K
Total likes
5.08K
Total comments
173
Published
October 29, 2026
Global rank by views
#13,264,300

Frequently asked questions

How many views does 城寨新聞(4)29/10/26:人工智能做醫生害死華裔軟件工程師內情 中期選舉兩黨競逐激烈 紐約時報揭露民主黨以賤招𠝹票 物色與共和黨對手同名同姓者參選製造混亂 阿拉斯加州參議院候選人有兩個蘇利文 have?

城寨新聞(4)29/10/26:人工智能做醫生害死華裔軟件工程師內情 中期選舉兩黨競逐激烈 紐約時報揭露民主黨以賤招𠝹票 物色與共和黨對手同名同姓者參選製造混亂 阿拉斯加州參議院候選人有兩個蘇利文 has 67,789 views, 5,086 likes and 173 comments, ranking #13,264,300 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.