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Channel
大海金狗发掘中心💵
@facaicat888
On this record: Growth · Engagement · Reactions · Posts · Telegram's recommendations · Cite this entry
1,129subscribers
-6 since we began measuring on 7 August 2026
Risers and fallers across the register · movement among entries of 1,000–3,162.
Register entry
| Telegram ID | -1001514204218 |
|---|---|
| Type | Channel |
| Username | @facaicat888 |
| Created | Between 1 August 2021 and 28 February 2023— estimated from Telegram’s id allocation, not measured. How this range is calculated. |
| First recorded | 7 August 2026 |
| Last confirmed live | 15 August 2026 |
| Measurements held | 5 |
| Confirmed unchanged | 1 time, most recently 15 August 2026 |
| On Telegram | t.me/facaicat888 |
Growth
| Measured (UTC) | Subscribers | Change |
|---|---|---|
| 15 Aug 2026, 19:15 | 1,129 | -3 |
| 12 Aug 2026, 15:33 | 1,132 | -4 |
| 9 Aug 2026, 23:31 | 1,136 | +1 |
| 7 Aug 2026, 08:00 | 1,135 | no change |
| 7 Aug 2026, 07:52 | 1,135 | first reading |
Engagement
15 posts held, back to 7 July 2026 — the reader has not yet reached the start of this channel’s public history, so older posts may sit further back, unread. Read across 1 pageof Telegram’s post history, 20 posts per page.
- ERR · 30 days
- 9.75%
- avg views ÷ 1,129 subscribers
- Avg views / post
- 110
- 8 posts measured
- Reaction rate
- 3.72%
- reactions ÷ views · ER floor
- Posts in window
- 8
- of 15 held
ERR is average views per post over the last 30 days divided by subscribers, the definition TGStat uses, so this figure is comparable with the one you will see elsewhere. It falls structurally as a channel grows: a high ERR on a small channel and a low one on a large channel describe reach mathematics, not quality. We publish the figure and the sample it came from and pass no verdict on it.
ER is defined industry-wide as (forwards + reactions + comments) ÷ views— note the denominator is views, not subscribers. Telegram’s public web preview carries views and reactions but not forward or comment counts, so the reaction rate above is the reactions term only and is therefore a floor: the true ER for this channel is higher by an amount we have not measured and will not estimate. It is computed over the 2 of 8 measured posts that carry a reaction reading, and over those same posts' views.
| Window | Rolling 30 days · latest post in window 3 August 2026 |
|---|---|
| Posts held | 15 (7 July 2026 – 3 August 2026) |
| Views total | 881 |
| Reactions total | 8 |
| Forwards / comments | not exposed by the public surface — not measured, not estimated |
| Readings taken | 7 Aug 2026, 08:00 UTC |
Views are a single reading per post, taken at the time above. A post published in the last day or two is still accumulating views, which pulls the 30-day average down slightly. That is a property of the standard definition rather than a fault in it, so we keep the definition rather than “correcting” the number into something nobody can reproduce.
Precision. Telegram publishes view counts on its public widget in short form — 8.12K, 3.7M — so any reading at or above 1,000 reaches us rounded to three significant figures, and only counts below 1,000 are exact. Averages and rates derived from them are shown to the same precision rather than to the unit: a figure like 3,701,250 would assert digits nobody measured.
Reaction counts are published per emoji and rounded the same way, so a total below 1,000 is exact and a larger one is a sum that may carry a rounded component from each emoji above 1,000. Because it is a sum, it does not look rounded — read a large reaction total as three significant figures per contributing emoji rather than as the figure it prints.
Reaction mix
10 reactions across 3 posts, in 2 distinct kinds. The most used accounts for 60.0% of them.
| Reaction | Count | Share | Share, drawn |
|---|---|---|---|
| 👍 | 6 | 60.0% | |
| 🎉 | 4 | 40.0% |
No sentiment is inferred, and none should be read in. This table is ordered by count and by nothing else. Emoji do not carry stable meaning across languages or communities — 🙏 is thanks in one channel and mourning in another — so we publish which ones were pressed and how often, and pass no judgement on what an audience meant by them.
Precision. Telegram publishes reaction counts per emoji and short-forms each one — 4.34K, 1.2M — so any single kind at or above 1,000 reaches us at three significant figures, and only counts below 1,000 are exact. The shares above are ratios of those figures and carry the same error. This is also why the total here can differ slightly from a reaction total printed elsewhere on the page: both are sums of the same rounded parts, taken over samples with different edges.
Coverage. Reactions were read on 4 of the 15 sampled posts in this sample. Summed by Telegram’s own count on each post — not by adding up the per-emoji breakdown above — those same posts carry 10reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.
Measured over the 15 most recent posts we hold, published 7 July 2026 to 3 August 2026, using the newest reading held for each. Telegram Stars are excluded: they are a payment, not a reaction, and they have their own section.
Recent posts
天行健,君子自强不息。😎
👍3
我开个减脂分享会吧,你们要听直播还是群里直接问,都行。 都来说说吧。 评论留言~
Photo, posted without a caption
在减脂方面,我已是一代宗师。🥰
祝我生日快乐🎉 岁岁无忧,平安喜乐。
🎉4👍1
😎
互联网上大家都在谈筛选。 不花钱,怎么筛? 别人凭啥好好表现? 如何快速筛选? 我就一招:待遇拉满。 以外卖举例 给我送1单,路程200米。 1对1专送,能赚10元。 5分钟送到,留用。 10分钟送到,拉黑。 15分钟送到,拉黑且差评。 一个能赚钱的人,靠的一定不是管理,而是自驱力。 我们需要筛选主动,友好的人。 所有差点意思的,付出筛选成本后,迅速PASS。 这招会在前期消耗大量的钱。 在收到了足够的案例反馈之后。 就能以极快速度,从行为判断出一个人是否靠谱。 一个人下意识的行为,才是其掩盖不住的内心投影。 再拿我的理发师举例吧。 我这1年造型变化非常大, 这离不开我自我的成长,也离不开发型师根据我的当前状态设计出了相匹配的造型。 那说明他是下功夫的。 我不算帅哥,哈哈哈哈。 为了搞造型,杭州大大小小的理发师,造型师都找过。 都是问一句,烫不烫头,我说不烫,接着就开始糊弄了。 花大钱也没用,只是剪发时间长了点,剪出…
引体向上能做 15 个了。
「问红尘」- 姚贝娜 专辑: 问红尘 #网易云音乐 #mp3 12.16MB 320.65kbps via @Music163bot
Posted without readable text
男性成长与喜茶 刚才外卖点了1杯喜茶 200米距离送了30分钟 送到冰都化了 为什么会送那么晚? 因为 1.我很好说话,打赏率100%,现在99%。 2.距离最近,最后送刚好。 3.“这人挣钱的思路还是男性苦难叙事” “多做多干活,挣辛苦钱” 最终导致了什么结果? 1.给他打差评了。 2.拉黑了。 3.他这辈子无法获得最轻松的订单和打赏。 4.挣钱比以前更难了。 为什么中国男人很苦很累挣不到钱,都和这男外卖员思路一样的。 对于好糊弄的客户,他们用最少的力气,最差的服务去对待。 对于难缠的客户,反而花时间花力气去哄。 脑子正常的客户,久而久之远离这类人。 而剩下的都是些浪费时间,又不赚钱的客户。 共情他们,多给他们钱,只有吃亏。 抽他们,能得到正常待遇。 欺负他们,能得到好待遇。 我自己执行下来,好的挣钱逻辑是这样。 1.尽可能服务好,好客户。 2.1秒都不浪费在难缠,难要,难题多的客户身上。 3.尽可能让自己体面,…
Showing the 12 most recent of 15 posts we hold for @facaicat888. View and reaction counts are the latest single reading for each post, not a live figure, and a recent post is still accumulating both. A view count marked ≈ was rounded by Telegram before we ever saw it — t.me prints views in full below 1,000 and to three significant figures above, so ≈1,200,000 means somewhere between 1,150,000 and 1,249,999. Unmarked counts are exact. Text is reproduced from the public post preview and truncated for length.
Appears in Telegram’s recommendations for other channels
The reverse of the list above, and a different kind of signal. This does not require this channel to have ever been asked about directly — each row below is a channel we DID ask Telegram about, whose Telegram-generated list happened to include this one. A channel can appear here with an empty list above it, because being named by someone else’s query is independent of having been queried itself.
@BabyDogeAnnZH · 90,151
Telegram ranks this channel #75 of 85 here — alongside 84 others — read 17 August 2026
This channel appears in 1 seed channel's Telegram-generated recommendation list in total. Each is Telegram’s list for THAT channel, not this one — see how this is measured.
Cite this entry
A live page changes as we take new readings, so a citation should name the measurement it is based on, not just the URL. The line below cites the subscriber count as measured 15 August 2026 — this entry's latest reading, not the date you are reading this.
“大海金狗发掘中心💵” (@facaicat888), 1,129 subscribers as measured 15 August 2026. Telegram Register, tgregister.com/channel/facaicat888.
Full measurement history, CC BY 4.0. Every reading this register holds for this entry, not just the latest one, as a dated, downloadable record: CSV · JSON. Free to use with attribution to tgregister.com. Each file carries its own generation timestamp, which is the figure to cite for exactly when the data was retrieved.