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Channel

诗宁的朋友圈🍰

@xiaobbshi

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

1,191subscribers

-2 since we began measuring on 16 August 2026

Risers and fallers across the register · movement among entries of 1,000–3,162.

Register entry

Telegram ID-1004330384686
TypeChannel
Username@xiaobbshi
CreatedBetween 1 June 2026 and 6 July 2026— estimated from Telegram’s id allocation, not measured. How this range is calculated.
First recorded16 August 2026
Last confirmed live17 August 2026
Measurements held2
Confirmed unchanged1 time, most recently 17 August 2026
On Telegramt.me/xiaobbshi

Growth

1,1911,1931,19216 Aug 2026, 22:31 — 1,193 subscribers17 Aug 2026, 17:45 — 1,191 subscribers16 Aug 2026, 22:3117 Aug 2026, 17:45
2 measurements taken within a single day, net -2. 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 1,191–1,193 and does not start at zero.
Measurement log — every subscribers count we have recorded
Measured (UTC)SubscribersChange
17 Aug 2026, 17:451,191-2
16 Aug 2026, 22:311,193first reading

Engagement

18 posts held, back to 6 July 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
153.5%
avg views ÷ 1,191 subscribers
Avg views / post
1,830
13 posts measured
Reaction rate
0.111%
reactions ÷ views · ER floor
Posts in window
13
of 18 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 9 of 13 measured posts that carry a reaction reading, and over those same posts' views.

What these figures were computed from
WindowRolling 30 days · latest post in window 16 August 2026
Posts held18 (6 July 202616 August 2026)
Views total23,760
Reactions total19
Forwards / commentsnot exposed by the public surface — not measured, not estimated
Readings taken16 Aug 2026, 22:31 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
16s
Average length
8s

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

32 reactions across 10 posts, in 4 distinct kinds. The most used accounts for 65.6% of them.

Every reaction kind recorded on the sample, most used first
ReactionCountShareShare, drawn
2165.6%
🥰721.9%
🦄39.38%
🎄13.13%

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 12 of the 18 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 32reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.

Measured over the 18 most recent posts we hold, published 6 July 2026 to 16 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

14 Aug 2026, 13:01 UTC673 views1 reactionsread 16 August 2026
Photo

开课可以预约哦 服务态度放心出击哦🥰🥰

🥰1

5 Aug 2026, 08:15 UTC≈1,870 views4 reactionsread 16 August 2026
Photo

湖里在线🉑🈷️哦

🥰31

29 Jul 2026, 14:49 UTC≈2,070 views3 reactionsread 16 August 2026
Forwarded from @xmbm6666

白马嫩妹鉴定委员会鉴定报告 鉴定时间:26.7.x 老师花名:#诗宁 老师类型:嫩妹 老师年龄:18~20 老师坐标:#湖里 上课花费:6p 服务内容:🉑陪洗,口活不错,主动🐍(吻技稍微差点意思,配合度很高,很主动),姿势配合度很好,反馈很棒,情绪价值很好,会发骚,女友感很好。 颜值身材:颜值中等偏上,妆一般般,小小只,身材偏瘦,胸a-,户型不错,草坪毛少,皮肤黄偏白,好像没纹身或者有小块纹身(有点忘了),皮肤滑度适中,紧度偏紧,湿度正常。 人照符合度:8.5 环境:8 卫生:8 优点:女友感很棒 缺点:暂无 脸蛋:⭐️⭐️⭐️ 身材:⭐️⭐️⭐️⭐️ 皮肤:⭐️⭐️⭐️⭐️ 态度:⭐️⭐️⭐️⭐️⭐ 服务度:⭐️⭐️⭐️⭐⭐ 蟒蛇度:⭐️⭐️⭐️⭐️ 发烧程度:⭐️⭐️⭐⭐ 单p体验指数:⭐️⭐️⭐️⭐️⭐ 女友感指数:⭐️⭐️⭐️⭐⭐ 多刷指数:⭐️⭐️⭐️⭐ 推荐程度:⭐️⭐️⭐️⭐️⭐ 性价比:⭐️⭐️⭐️⭐️ 白马嫩妹

🦄3

29 Jul 2026, 06:54 UTC≈2,000 views0 reactionsread 16 August 2026

140048 【出击时间】:2026/7/28晚上八点 【老师姓名】:诗宁 【联系方式】:@ShiNingms 【评价人】:DD大魔王 【推荐指数】: ⭐⭐⭐⭐⭐ 【人照评分】: 9 【身材评分】: 8 【服务评分】: 10 【课室位置】: 湖里 【修车茶费】: 6米 【服务过程】: 晚上约好诗宁老师,一下班扒拉了几口饭火急火燎的赶完教室,一进门就看到的瘦瘦小小的女孩子,狠狠心动了,坐下来跟老师抽根烟聊了会,很健谈不冷场,很温柔,性子呆呆的,更喜欢了。完事洗澡,老师会刷牙并帮忙擦背,然后到床上,诗宁会问要不要亲亲,那还说什么,直接大蟒蛇,蛇了好久,还会帮忙轻轻托住后脑勺,真的好温柔。蛇完帮我服务,从胸口到牛牛,都是满满的幸福感,差不多了我让老师躺下继续,我俯身下去轻尝朱唇,手指不由自主的玩弄起欢乐豆,越玩水越多,直到她说来感觉了,那就干!嘟嘟嘟嘟嘟嘟嘟嘟嘟嘟嘟嘟嘟然后出水,非常完美。老师真的特别温柔,会回锅的 【评价时间】:20

29 Jul 2026, 06:53 UTC≈1,720 views0 reactionsread 16 August 2026

【出击时间】:7.25 【老师姓名】:诗宁 【联系方式】:@ShiNingms 【评价人】:匿名用户 【推荐指数】: ⭐⭐⭐⭐⭐ 【人照评分】: 10 【身材评分】: 10 【服务评分】: 10 【课室位置】: 厦门 【修车茶费】: 600 【服务过程】: 我只能说如果一直在我会一直来二刷三刷四刷,本身超级可爱的小女孩,服务啥的都没得说,最关键的是,诗宁的性格!超级好,是那种温柔如水体贴入微的感觉,从进门先打招呼关心啥的就能看出来是个非常乖巧的女孩子,说话软软糯糯的,因为我会稍微粗一点,也怕做的时候妹妹容易痛,但是诗宁中途做的时候也一直在说没关系没关系,还会喊爸爸,虽然嗯我对这种称呼没啥感觉,特别配合全程完全没催,就你在诗宁这里完全没有那种OK完事就撤的感觉,后面结束了让我休息陪我聊天,真的要被这个女孩子融化了,非常好的一个女孩子,总而言之,好评满分,本人比照片好看,性格分这一块我只想给200分 【评价时间】:2026-07-2

22 Jul 2026, 07:23 UTC≈2,340 views3 reactionsread 16 August 2026
Video

哥哥们太热情了🧁🧁谢谢支持

3

Showing the 12 most recent of 18 posts we hold for @xiaobbshi. 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 — 727,319 of 1,563,849entries 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

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 3 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.

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

“诗宁的朋友圈🍰” (@xiaobbshi), 1,191 subscribers as measured 17 August 2026. Telegram Register, tgregister.com/channel/xiaobbshi.

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.