🌸艺名:#大奶牛 🛍地区: #西区区 💵课费:95/450p 700pp 98/550p 900pp 🪩标签:#69 ⤴️私聊:@danainiu66 ⤵️双向:@Nainiu26_bot 👀频道: https://t.me/zhongshandanainiu 🪩备注:更新认证,放心出击! 🔥上榜联系:@langyouzrbot 😏狼友交流群 😏狼友报告群
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Channel
@zszh88
On this record: Topic · Growth · Engagement · What this channel posts · Reactions · Posts · Posts edited after publishing · Posts recorded as deleted · Citations · Handles named that no longer answer · Cite this entry
31,072subscribers
-4,797 since we began measuring on 8 August 2026
Risers and fallers across the register · movement among entries of 10,000–31,623.
| Telegram ID | -1002170156000 |
|---|---|
| Type | Channel |
| Username | @zszh88 |
| Description | 上榜联系: @ZSZH188bot 狼友聊天福利交流群 : https://t.me/sshinobuRen 工兵营: https://t.me/qophz1 公开验证榜: https://t.me/zszh88 Hello @Telegram My channel has not violated the rules and policy of using Telegram. Please pay attention. @rove |
| Created | Between 1 June 2024 and 30 September 2024 — estimated from Telegram’s id allocation, not measured. How this range is calculated. |
| First recorded | 8 August 2026 |
| Last confirmed live | 7 November 2026 |
| Measurements held | 60 |
| Confirmed unchanged | 1 time, most recently 7 November 2026 |
| On Telegram | t.me/zszh88 |
Other / unclassifiable — a classification, not a measurement. An on-box language model (Qwen3.6-35B-A3B-FP8, prompt version 1) read this channel’s own recent posts on 9 September 2026 and assigned it the closest of 31 fixed categories, at 44% confidence. This is a model’s judgement about what the channel is likely to be about, not a fact this register measured the way a subscriber count or a view count is measured — it can be revised on a later pass, and it carries no weight anywhere else on this page. How this classification works, and the other topics.
| Measured (UTC) | Subscribers | Change |
|---|---|---|
| 7 Nov 2026, 05:02 | 31,072 | +768 |
| 6 Nov 2026, 07:50 | 30,304 | +307 |
| 5 Nov 2026, 11:00 | 29,997 | -105 |
| 4 Nov 2026, 08:05 | 30,102 | +156 |
| 3 Nov 2026, 06:41 | 29,946 | -676 |
| 2 Nov 2026, 07:36 | 30,622 | -172 |
| 1 Nov 2026, 09:46 | 30,794 | -139 |
| 31 Oct 2026, 07:59 | 30,933 | -86 |
| 30 Oct 2026, 08:46 | 31,019 | -240 |
| 29 Oct 2026, 09:17 | 31,259 | -247 |
| 28 Oct 2026, 05:59 | 31,506 | -132 |
| 27 Oct 2026, 04:21 | 31,638 | -106 |
| 26 Oct 2026, 01:07 | 31,744 | -139 |
| 25 Oct 2026, 00:06 | 31,883 | -253 |
| 24 Oct 2026, 01:22 | 32,136 | -94 |
| 23 Oct 2026, 00:27 | 32,230 | -148 |
| 21 Oct 2026, 21:45 | 32,378 | -66 |
| 20 Oct 2026, 17:47 | 32,444 | -57 |
| 19 Oct 2026, 20:10 | 32,501 | -83 |
| 18 Oct 2026, 18:07 | 32,584 | first reading |
193 posts held, back to 5 August 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 178 pages of Telegram’s post history, 20 posts per page.
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.
| Window | Rolling 30 days · latest post in window 7 November 2026 |
|---|---|
| Posts held | 193 (5 August 2026 – 7 November 2026) |
| Views total | 96,823 |
| Reactions total | 9,402 |
| Forwards / comments | not exposed by the public surface — not measured, not estimated |
| Readings taken | 7 Nov 2026, 23:54 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.
Lifetime counters from Telegram’s own channel header, read 7 November 2026 — not the date at the top of this page, which is when the subscriber count was last read. Below Telegram’s rounding threshold, so these counts are exact.
Measured directly from 77 videos with a duration reading, out of the posts we hold for this channel — not this channel’s whole posting history, only the sample this register has actually read. An exact reading to the second, taken from the post itself rather than from Telegram’s own rounded chrome, so it carries no ≈ mark.
14,493 reactions across 188 posts, in 16 distinct kinds. The most used accounts for 17.3% of them.
| Reaction | Count | Share | Share, drawn |
|---|---|---|---|
| ❤ | 2,506 | 17.3% | |
| 🎉 | 2,392 | 16.5% | |
| 👍 | 2,330 | 16.1% | |
| 🔥 | 2,313 | 16.0% | |
| 😁 | 1,689 | 11.7% | |
| 🥰 | 676 | 4.66% | |
| 💯 | 637 | 4.40% | |
| 🤩 | 633 | 4.37% | |
| 😍 | 624 | 4.31% | |
| ❤🔥 | 596 | 4.11% | |
| 😎 | 28 | 0.193% | |
| 🍓 | 22 | 0.152% | |
| ☃ | 20 | 0.138% | |
| 🙏 | 20 | 0.138% | |
| 👎 | 4 | 0.028% | |
| 💩 | 3 | 0.021% |
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 188 of the 193 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 14,493 reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.
Measured over the 193 most recent posts we hold, published 5 August 2026 to 7 November 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.
Telegram’s own ‘edited’ marker: 5 of 93 posts held from the last 30 days (5.38%) carried it when this register last read them. The marker says a post was changed after publishing, not what it said before — this register holds the earlier wording only where an edit fell between two of its own reads (see the edit ledger and how it is measured).
🌸艺名:#大奶牛 🛍地区: #西区区 💵课费:95/450p 700pp 98/550p 900pp 🪩标签:#69 ⤴️私聊:@danainiu66 ⤵️双向:@Nainiu26_bot 👀频道: https://t.me/zhongshandanainiu 🪩备注:更新认证,放心出击! 🔥上榜联系:@langyouzrbot 😏狼友交流群 😏狼友报告群
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✅经典黑车套路科普 ❓经常有群友问怎么防骗,这里整理一个常见套路,避免再掉坑。 📵黑车常见特征 ❌1.价格异常低:如 800=3小时不限次、1300/1500包夜,远低于正常市场价。 ❌2.照片过于完美:肤白貌美、学生兼职、空姐良家等旗号。建议先用 百度/谷歌/INS 搜图,十有八九是盗图。 ❌3.话术千篇一律:先问城市和区域,再要求拍酒店房卡正反面。统一说“只带人不带房”。 ❌4.社交软件特征:常见于电报,头像是美女,昵称“小小、暖暖、糖果、温柔”等。 套路类型与操作方式⛔️ ❎类型①:假聊党 根本不在你城市,背后是抠脚大汉。 先装作“马上过来”,再说风险大,要你交100–300“诚意金/见面金”。给钱后继续要,各种理由。人没见到就给钱 = 憨批。给两次 = 憨批Plus。 ❎类型②:见面跑路党 说“见面满意再付钱”,也可能真有人来。 ❎常规派:约定1500包夜,做一水就找借口离开(如下楼拿衣服、借充电宝、…
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🌸艺名: #小叶玉卿 🛍地区: #拱北区 💵课费:看课表 ⤴️私聊:@gongbeixiaoyeyuqing ⤵️双向: @xiaoyeyuqing1111bot 👀频道: https://t.me/gongbeixiaoyeyuqing1 🪩备注:更新认证,放心出击! 🔥上榜联系:@langyouzrbot 😏狼友交流群 😏狼友报告群
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🎊【伊一老师诗人福利来了!】开奖啦!🎊 🎁 奖品清单 • 1p半价优惠券 × 1 🛡️ 参与条件 • 加入 中山/珠海狼友妙妙屋🅢 • 加入 中山/珠海顶流老师公开榜🅢 • 加入 伊一的朋友圈 • 加入 怡情汇防骗科普 🏆 中奖名单: 1. nero kk 获得 1p半价优惠券 👤 颁奖人 @yiyi080608 📜 抽奖说明 1、开奖一个星期内没有兑换的,则过期无效;转让使用权,需征得老师同意! 2、兑奖(兑奖必须写报告)出击完需要提交详情报告给老师 3、报告模板领取https://t.me/YQHFPKP888/7 4、炸号中奖作废!中奖者多次无故不去,取消所有资格,并清退出群,不去就不要参与抽奖。 💡 兑奖说明: 👉 请中奖者联系 @yiyi080608 兑奖 🕒 开奖时间: 2026年11月05日 20时40分01秒 🎰 抽奖回顾: • 总参与人数:36人
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Showing the 12 most recent of 193 posts we hold for @zszh88. 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.
@zszh88 edited 6 posts after it first published — the same permalink now carries different wording than the one this register originally read, caught because our own crawl held a copy of the earlier text.
An edit is not deception. Typo fixes, price updates and corrections look exactly like this too — this register can tell you the wording changed and when, not why. How this is measured.
We recorded 18 posts on @zszh88 as deleted — posts this register held that were missing from the channel’s public page on two separate reads, taken from different network addresses at least an hour apart.
A deletion is not wrongdoing. This register can see that a post it held is no longer on the channel’s public page, and when — not why. Expired ad placements, reposts, rotating links and corrections all look the same. This is a count of recorded detections, not an exact total: it misses deletions we could not see, because only a post we held and later re-read inside the page can be seen to go, and it may include a small number of wrong records. How this is measured.
Named by 8 registered channels — every channel on the register whose own posts have named this one, by its current username or any other username it currently holds, merged from two separately captured readings of the same fact so a namer caught by only one of them is not missed and a namer both caught is not counted twice. A username this channel has since dropped is not matched — that handle may belong to someone else now, and crediting today’s namer to yesterday’s owner would misattribute it.
Named by
Channels on the register whose posts name this channel's handle.
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.
@zszh88 named 3 handles that resolve to nothing today. That is a fact about the reference, not necessarily a fact about the handle’s history — see the two groups below.
Most of these may never have existed as a live channel at all. A handle a channel names can be a typo, an aspirational name nobody registered, or a channel that was already gone before this one ever mentioned it. Unless a row below is marked evidenced, all we know is that it references a handle that is not a live channel today — not that anything “died”. How this is measured.
We ourselves saw each of these resolve to a real page at some point before it went vacant — a genuine, evidenced change, not an inference from absence.
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 7 November 2026 — this entry's latest reading, not the date you are reading this.
“中山/珠海顶流老师公开榜🅢” (@zszh88), 31,072 subscribers as measured 7 November 2026. Telegram Register, tgregister.com/channel/zszh88.
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.