#MM｜25歲老貓等於人類116歲 曾被寵物店棄養患貓瘟、皮膚病險死 灣仔藍屋明星貓 伴主人度過母親離世 前後領養9隻貓 全職轉Freelance後16年暫託過百隻流浪貓尋家｜#700萬種生活 #4K
Published July 20, 2024
At a glance
Views
998,494
Likes
16,942
Comments
461
Performance vs. channel
All-time outlier score
Engagement rate
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#MM #700萬種生活 // 25歲老貓等於人類116歲 曾被寵物店棄養患貓瘟、皮膚病險死 得一半生存機率 灣仔藍屋明星貓 每天散步 伴主人度過母親離世 前後領養9隻貓 全職轉Freelance後16年暫託過百隻流浪貓尋家 一般貓的年齡都是12至18歲左右，而今集的主角Bibito今年已經25歲了，相等於人類的116歲。可以養到貓隻這麼大年紀，又有甚麼秘訣呢？ 曾被寵物店棄養患貓瘟險死 得一半生存機率 在1998年，由意大利威尼斯來港生活的Michele在那一年的聖誕節走過金魚街時，在一間寵物店見到當時很虛弱的Bibito。那時候看到只有Bibito是沒有毛、皮膚又有蟲、有貓瘟，又生病。當時Michele罵寵物店的人，「怎麼…
- Published
- July 20, 2024
- Made for kids
- No
More features coming
We're working on new analytics and tools. Stay tuned.
How #MM｜25歲老貓等於人類116歲 曾被寵物店棄養患貓瘟、皮膚病險死 灣仔藍屋明星貓 伴主人度過母親離世 前後領養9隻貓 全職轉Freelance後16年暫託過百隻流浪貓尋家｜#700萬種生活 #4K is doing
It has 998K views in total. It ranks #5,031,052 among tracked YouTube videos by views.
Key facts about #MM｜25歲老貓等於人類116歲 曾被寵物店棄養患貓瘟、皮膚病險死 灣仔藍屋明星貓 伴主人度過母親離世 前後領養9隻貓 全職轉Freelance後16年暫託過百隻流浪貓尋家｜#700萬種生活 #4K
- Total views
- 998K
- Total likes
- 16.9K
- Total comments
- 461
- Published
- July 20, 2024
- Global rank by views
- #5,031,052
Frequently asked questions
How many views does #MM｜25歲老貓等於人類116歲 曾被寵物店棄養患貓瘟、皮膚病險死 灣仔藍屋明星貓 伴主人度過母親離世 前後領養9隻貓 全職轉Freelance後16年暫託過百隻流浪貓尋家｜#700萬種生活 #4K have?
#MM｜25歲老貓等於人類116歲 曾被寵物店棄養患貓瘟、皮膚病險死 灣仔藍屋明星貓 伴主人度過母親離世 前後領養9隻貓 全職轉Freelance後16年暫託過百隻流浪貓尋家｜#700萬種生活 #4K has 998,494 views, 16,942 likes and 461 comments, ranking #5,031,052 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?
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