你好可愛呀黑黑的大塊頭

Channel
總機的日常
@zhangzihan0610
On this record: Growth · Engagement · Reactions · Posts · Citations · Cite this entry
150subscribers
+5 since we began measuring on 7 August 2026
Risers and fallers across the register · movement among entries of Under 1,000.
Register entry
| Telegram ID | -1002876381139 |
|---|---|
| Type | Channel |
| Username | @zhangzihan0610 |
| Created | Between 1 June 2025 and 30 September 2025 — estimated from Telegram’s id allocation, not measured. How this range is calculated. |
| First recorded | 8 August 2026 |
| Last confirmed live | 13 September 2026 |
| Measurements held | 7 |
| Confirmed unchanged | 1 time, most recently 13 September 2026 |
| On Telegram | t.me/zhangzihan0610 |
Growth
| Measured (UTC) | Subscribers | Change |
|---|---|---|
| 13 Sept 2026, 11:40 | 150 | +1 |
| 5 Sept 2026, 18:17 | 149 | +4 |
| 29 Aug 2026, 08:45 | 145 | -1 |
| 22 Aug 2026, 13:06 | 146 | +2 |
| 15 Aug 2026, 02:07 | 144 | -1 |
| 8 Aug 2026, 21:16 | 145 | no change |
| 7 Aug 2026, 17:32 | 145 | first reading |
Engagement
17 posts held, back to 13 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 page of Telegram’s post history, 20 posts per page.
Nothing published in the last 30 days. ERR and ER are rolling 30-day measures, so there is nothing to compute — we hold 17 posts for this entry, the most recent from 8 August 2026. An engagement rate over an empty window would be a number about nothing.
Reaction mix
3 reactions across 1 post, in 1 kind.
| Reaction | Count | Share | Share, drawn |
|---|---|---|---|
| 👍 | 3 | 100.0% |
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 1 of the 17 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 3 reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.
Measured over the 17 most recent posts we hold, published 13 July 2026 to 8 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
好好笑 我這狗屎一樣的笑點 為什麽要說鷄鷄啊 看到這句話的時候 我還在想 誰這麽大膽 玩野外露出 點開圖片一看 反差感一下就上來了
👍3
Signed 沐青の茶+Gleezy:mkove06送好禮
⚠️嚴重聲明⚠️必須看完⚠️ 青青是一個人做的 沒有和任何茶莊、店家合作 更沒有所謂的約會入會 請大家一定不要受騙 上次有發一篇詐騙模擬 你們也要去看完 https://t.me/jsdhdj8/3208 ❌現在騙子的手段只會越來約多 ❌請大家一定記住一點 ❌真正的茶莊 從來不會要求你們 ❌先轉賬、點數卡、入會、押金、保證金、先轉預約費 全部都是詐騙 ⬇️⬇️⬇️⬇️⬇️⬇️ ✅正確流程 開好房間 錢拿在自己手裏 見到女生 和我回報 確定是同一個之後 喜歡給妹妹現金
Signed 沐青の茶+Gleezy:mkove06送好禮
過往時光 我細數 我珍重
Signed 沐青の茶+Gleezy:mkove06送好禮
好好笑
這下腦子是真的不清醒了 以前我都是打“哈哈哈*100”個 現在沒精力了 就打 好好笑
Signed 沐青の外送茶@xia000j
最近這幾天又開始了
Signed 沐青の外送茶@xia000j
不過好在沒什麽大問題
Signed 沐青の外送茶@xia000j
上次我記得比較深的 還是在22年 那個時候一個月高燒好幾次 而且都是40度 一度認為我可能要燒傻了
Signed 沐青の外送茶@xia000j
已經好久好久沒有發燒感冒了
Signed 沐青の外送茶@xia000j
還是我命比較硬 但也是體弱多病了
Signed 沐青の外送茶@xia000j
等我把它養活了 我就給它發一個帖文 沒養活 大家就忘記這件事情吧
Signed 沐青の外送茶@xia000j
Showing the 12 most recent of 17 posts we hold for @zhangzihan0610. 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.
Forward network
Republished by
Channels on the register that have forwarded this channel's posts into their own feed.
Republishes
Channels on the register whose posts this channel has forwarded.
Built only from forwarded posts we have actually read, on both sides. Coverage is early and deliberately incomplete: a missing link means we have not read the post that would prove it, never that the relationship does not exist. Counts are distinct forwarded posts observed, so they only ever go up as we read more.
Mentions
Names
Channels on the register whose handles appear in this channel's posts.
A mention is a weaker signal than a forward and is counted separately for that reason — naming a channel is not republishing it, and a handle in a post body is easy to place deliberately. The post counts beside each row below are distinct posts in which the handle appeared, from posts we have read on both sides — the “Named by N registered channels” figure above is a different count, of distinct NAMING CHANNELS rather than posts, and is not the sum of the rows under it.
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 13 September 2026 — this entry's latest reading, not the date you are reading this.
“總機的日常” (@zhangzihan0610), 150 subscribers as measured 13 September 2026. Telegram Register, tgregister.com/channel/zhangzihan0610.
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.