Growth
Growth history is still building. We hold one measurement for this entry. A trend needs at least two, taken days apart — so this will fill in on its own rather than being estimated. We do not publish numbers we have not measured.
Engagement
7 posts held, back to 19 September 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.
- ERR · 30 days
- 485.6%
- avg views ÷ 54 subscribers
- Avg views / post
- 262
- 5 posts measured
- Reaction rate
- 0.246%
- reactions ÷ views · ER floor
- Posts in window
- 7
- of 7 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 5 measured posts that carry a reaction reading, and over those same posts' views.
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
- Photos
- 6
- Videos
- 2
- Links
- 1
Lifetime counters from Telegram’s own channel header, read 19 September 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.
- Video runtime
- 12s
- Average length
- 6s
Measured directly from 2 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
1 reaction across 1 post, in 1 kind.
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 2 of the 7 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 1 reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.
Measured over the 7 most recent posts we hold, published 19 September 2026 to 19 September 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
19 Sept 2026, 15:18 UTC107 views1 reactionsread 19 September 2026 Forwarded from @ajkjvh
写报告的点置顶拿模版
#师范大学报告榜
#南宁师范大学公开榜
【验证留名】：Hilary
【验证时间】：9.19
【妹子花名】:夏荷
【联系方式】：【点击】南宁师范聊天群
【所在位置】：青秀区
【修车水费】：p700
【身高身材】：162/90
【颜值相似】：9
【凶器罩杯】：b
【服务内容】：课表都有
【服务详情】：夏荷老师很漂亮很嫩，皮肤很白，第一眼看到照片就很符合我的胃口，直接出击，跟老师商量时间，到了楼下，按照老师的指引，一开门见到老师精致的五官配上淡淡的妆容，御姐型美女 身材很好，声音很甜美，一起洗澡。终于来到床上服务，老师的口活让我非常的满意，课表上的服务一样不落，顶不住了，赶紧让老师带好套套，开始冲刺。下面很紧，水很多，特别敏感，稍微做一下老师就发出阵阵娇呼，后入的时候，感觉更爽，看着老师的大屁股翘臀。由于刚才的服务太刺激，导致俩下就交枪了，意犹未尽啊。。。下次还要来。
【机车行为】：无
【推荐程度】：10分推荐
…
❤1
19 Sept 2026, 14:31 UTC203 viewsread 19 September 2026 今天满了哥哥们，明天🉑约，谢谢啦
19 Sept 2026, 13:50 UTC300 views0 reactionsread 19 September 2026 Video
验证，
19 Sept 2026, 12:54 UTC328 viewsread 19 September 2026 开课啦
19 Sept 2026, 08:28 UTC373 viewsread 19 September 2026 Photo
用户名：@bestvvet
双向机器人：@nxjdxbxhz_bot
Channel photo updated
Channel created
Showing the 7 most recent of 7 posts we hold for @xiahstebz11. 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
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
Named by 1 registered channel — 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.
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 19 September 2026 — this
entry's latest reading, not the date you are reading this.
“夏荷🐳（青秀区）” (@xiahstebz11), 54 subscribers as measured 19 September 2026. Telegram Register, tgregister.com/channel/xiahstebz11.
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.
