Channel name was changed to «糖尿病集中营»

Channel
糖尿病集中营
@zhazhashushu
On this record: Topic · Growth · Engagement · What this channel posts · Reactions · Posts · Citations · Cite this entry
1,528subscribers
-17 since we began measuring on 11 August 2026
Risers and fallers across the register · movement among entries of 1,000–3,162.
Register entry
| Telegram ID | -1002594030883 |
|---|---|
| Type | Channel |
| Username | @zhazhashushu |
| Created | Between 1 March 2025 and 31 July 2025 — estimated from Telegram’s id allocation, not measured. How this range is calculated. |
| First recorded | 11 August 2026 |
| Last confirmed live | 16 September 2026 |
| Measurements held | 11 |
| Confirmed unchanged | 1 time, most recently 16 September 2026 |
| On Telegram | t.me/zhazhashushu |
Topic
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 17 September 2026 and assigned it the closest of 31 fixed categories, at 83% 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 why it has no browse page of its own yet.
Growth
| Measured (UTC) | Subscribers | Change |
|---|---|---|
| 16 Sept 2026, 11:36 | 1,528 | +3 |
| 8 Sept 2026, 14:18 | 1,525 | -3 |
| 3 Sept 2026, 08:47 | 1,528 | -2 |
| 31 Aug 2026, 05:56 | 1,530 | -1 |
| 28 Aug 2026, 11:37 | 1,531 | -1 |
| 25 Aug 2026, 18:53 | 1,532 | -7 |
| 22 Aug 2026, 11:27 | 1,539 | +1 |
| 19 Aug 2026, 07:05 | 1,538 | -2 |
| 16 Aug 2026, 02:59 | 1,540 | -5 |
| 12 Aug 2026, 09:55 | 1,545 | no change |
| 11 Aug 2026, 22:01 | 1,545 | first reading |
Engagement
15 posts held, back to 27 June 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 15 posts for this entry, the most recent from 2 August 2026. An engagement rate over an empty window would be a number about nothing.
What this channel posts
- Video runtime
- 1m 31s
- Average length
- 10s
Measured directly from 9 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.
Reaction mix
10 reactions across 4 posts, in 3 distinct kinds. The most used accounts for 40.0% of them.
| Reaction | Count | Share | Share, drawn |
|---|---|---|---|
| ❤ | 4 | 40.0% | |
| 👎 | 4 | 40.0% | |
| 👍 | 2 | 20.0% |
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 5 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 10 reactions 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 27 June 2026 to 2 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
南昌女仆 琪琪 人照7,舌吻一般,亲🐻怕疼,皮肤不错,南昌店少单多,导致什么女仆都有舔狗惯着,情绪价值一般。
南昌女仆 小胡 400标600超,生意火爆,没点到幻神,只能有谁点谁。人照6,说话有点口音土土的,舌吻没问题,🐻不大,敏感度可,配合度一般。
小狗 馨馨 人照7,右肩小面积花臂挺好看。台球助教转的素人。聊天基本一问一答,舌吻没问题,刚开始不肯脱上衣,让她语音问了带她出道的闺蜜,说上半身可以脱。敏感🦐体质,亲耳脖会用手包住,背部,腰部,小pp都比较敏感。🐻型不错,b+,不过怕痒会用手格挡。一起抽完烟看她不在状态,也挡着不给亲🐻,问她是不是不想上了,点头,提前结束。 ps:最后不知道妹子口中的全过程说了啥,搞得以为我上了啥尺度,听着有点下头。钟上没有脱妹子裤子,没有隔裤摸扣蹭,没有258,我牛仔裤都没脱,也没让妹子亲我嘴以外的其他地方。😂😂😂 🏷:#🐻 #敏感 #嫩妹#精神 颜值:⭐⭐⭐⭐️ 舌吻亲🐻:⭐⭐ 敏感度:🦐🦐🦐🦐 服务意识:⭐⭐ 综合推荐指数:⭐⭐️
❤1
阿里巴巴 菲菲 曾几何时,在某位大哥上头包天的时候,养鱼小酒馆惊鸿一瞥。没想到再度复出,打野偶遇!本人不算惊艳,但是带着眼镜,还是有些韵味,特别得知是某大哥的朱砂痣,更多了些许期待!妹子刚睡醒,有点懵懵的,不过一提到🤡,马上笑颜满面,可能是回想起了曾经美好的时光。很配合的把裙子脱了,标大内都没问题,钟上也给🤡打了语音,趁他们聊天的时候,在妹妹身上一波洗澡流,惹得娇喘不断,对面的大哥应该也听的很爽吧!为了让🤡有更好的代入感找点🛫素材,录了很多语音包,包括打pp的语音视频。体验感直接拉🈵!菲菲的钟不在于尺度的快乐,更爽的是可以ntr一下🤡大哥!双倍的快乐!非常愉快的一次出击体验!是为记!
👎4👍2❤1
Voice message, posted without a caption
西西里 雯雯 身材不错,高挑,嫩,新人有点油,没话题找话题拖延时间,喜欢和小姑娘聊天的可以去试试。 ⭐️⭐️
半夏 娃娃 刚成年的大只嫩妹,🐻大,皮肤有点紧实,敏感度一般,性格偏i,配合度不错。 ⭐️⭐️⭐️
恶霸兔 小琪 东站无聊,顶风作案,人照7,偏技师风,指划不错,服务系,🐻大有点外扩,乳晕大,不敏感。不是素人,克拉拉和yoyo都待过,yoyo被冲躲在隐形门后逃过一劫的幸运儿!性格不错。 🏷:#🐻 #服务系 颜值:⭐⭐⭐⭐️ 舌吻亲🐻:⭐⭐⭐ 敏感度:🦐🦐🦐 服务意识:⭐⭐⭐⭐️⭐️ 综合推荐指数:⭐⭐️⭐️
星茶会 小恩(黑皮) 舞蹈毕业,欧美范,身材好,有气质,敏感型,🐻不大,配合度不错。 ⭐️⭐️⭐️⭐️⭐️
❤1
养大鱼 nini 故人回归一直🈵,终于等到极限🈳🕰,比去年胖了。去年新人期上了个标大,这次标大都不满,但是谁叫她的ootd这么戳叔呢!人形烟灰缸被嫌弃亲亲了,不过胖了以后屁股也变大了,学刘老师猛啃!🐻还是那么敏感,不过奈头没以前粉了。感觉这次回归,心累了吗,态度一般,导致标大配合度体验感一般! 🏷:#🐻 #女大 #敏感 #身材 #穿搭 颜值:⭐⭐⭐⭐️⭐️ 舌吻亲🐻:⭐⭐⭐ 敏感度:🦐🦐🦐🦐 服务意识:⭐⭐⭐ 综合推荐指数:⭐⭐️⭐️⭐️
❤1
养大鱼 小渝 故人回归,毕业被直播女团耽误了,最近缺钱,变身劳模。 白幼瘦,皮肤白嫩丝滑,大腿修长,超大拉满,2.0进化成人工白虎。比去年更健谈了。cos重度爱好者,定期出装! 🏷:#女大 #敏感 #嫩妹#cos 颜值:⭐⭐⭐⭐️ 舌吻亲🐻:⭐⭐⭐⭐⭐️ 敏感度:🦐🦐🦐🦐 服务意识:⭐⭐⭐⭐️ 综合推荐指数:⭐⭐️⭐️⭐️⭐️
Showing the 12 most recent of 15 posts we hold for @zhazhashushu. 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.
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.
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 16 September 2026 — this entry's latest reading, not the date you are reading this.
“糖尿病集中营” (@zhazhashushu), 1,528 subscribers as measured 16 September 2026. Telegram Register, tgregister.com/channel/zhazhashushu.
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.