Telegram RegisterThe public register of Telegram

Channel

糖尿病集中营

@zhazhashushu

On this record: Growth · Engagement · What this channel posts · Reactions · Posts · Citations · Cite this entry

1,545subscribers

+0 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
TypeChannel
Username@zhazhashushu
CreatedBetween 1 March 2025 and 31 July 2025— estimated from Telegram’s id allocation, not measured. How this range is calculated.
First recorded11 August 2026
Last confirmed live12 August 2026
Measurements held2
Confirmed unchanged1 time, most recently 12 August 2026
On Telegramt.me/zhazhashushu

Growth

1,54511 Aug 2026, 22:01 — 1,545 subscribers12 Aug 2026, 09:55 — 1,545 subscribers11 Aug 2026, 22:0112 Aug 2026, 09:55
2 measurements taken within a single day. Dots are measurements; the straight line between them is drawn to join them, not to claim we know the path taken in between — snapshots are recorded only when a count changes, so gaps mean “no change observed”, never “interpolated”. The vertical axis spans 1,543–1,547 and does not start at zero.
Measurement log — every subscribers count we have recorded
Measured (UTC)SubscribersChange
12 Aug 2026, 09:551,545no change
11 Aug 2026, 22:011,545first reading

Engagement

15 posts held, back to 27 June 2026the 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
no view readings in window
Avg views / post
no view readings
Reaction rate
this channel exposes no reaction counts
Posts in window
1
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.

What these figures were computed from
WindowRolling 30 days · latest post in window 2 August 2026
Posts held15 (27 June 20262 August 2026)
Views total
Reactions total
Forwards / commentsnot exposed by the public surface — not measured, not estimated
Readings taken11 Aug 2026, 22:01 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.

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.

Every reaction kind recorded on the sample, most used first
ReactionCountShareShare, drawn
440.0%
👎440.0%
👍220.0%

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 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 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

1 Jul 2026, 06:20 UTC≈1,470 viewsread 11 August 2026
Photo

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。

1 Jul 2026, 06:16 UTC≈1,360 viewsread 11 August 2026
Photo

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。

1 Jul 2026, 03:06 UTC≈1,190 views1 reactionsread 11 August 2026
Video

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

29 Jun 2026, 05:09 UTC≈1,170 views7 reactionsread 11 August 2026
Photo

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👍21

27 Jun 2026, 17:32 UTC≈1,100 viewsread 11 August 2026
Video

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。 ⭐️⭐️

27 Jun 2026, 17:29 UTC≈1,020 viewsread 11 August 2026
Video

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。 ⭐️⭐️⭐️

27 Jun 2026, 17:25 UTC≈1,070 views0 reactionsread 11 August 2026
Video

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:⭐⭐️⭐️

27 Jun 2026, 17:20 UTC932 views1 reactionsread 11 August 2026
Video

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

27 Jun 2026, 17:17 UTC929 views1 reactionsread 11 August 2026
Video

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

27 Jun 2026, 17:11 UTC≈2,310 viewsread 11 August 2026
Photo

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.

Citation-graph rank

Citation-graph rank — 667,019 of 1,478,351entries in the measured graph. A weighted position computed from the forward and mention edges below — republished posts weigh more than named mentions — and recomputed periodically, over the whole graph. Published only as this ordinal position, never as a score: a position is a fact, and a score printed beside one channel’s name would read as a verdict this register does not make. The two counts beneath stay separate for the same reason mentions are never summed with forwards anywhere else on this page — a named-by count costs nothing to manufacture. The top 100 by this measure, or how it is computed.

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 12 August 2026 — this entry's latest reading, not the date you are reading this.

“糖尿病集中营” (@zhazhashushu), 1,545 subscribers as measured 12 August 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.