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 We do not publish numbers we have not measured.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
6 posts held, back to 6 October 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
- 173.2%
- avg views ÷ 92 subscribers
- Avg views / post
- 159
- 6 posts measured
- Reaction rate
- 0.637%
- reactions ÷ views · ER floor
- Posts in window
- 6
- of 6 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 1 of 6 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
- 16
- Videos
- 1
- Links
- 5
Lifetime counters from Telegram’s own channel header, read 6 October 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
- 3s
- Average length
- 3s
Measured directly from 1 video 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 1 of the 6 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 6 most recent posts we hold, published 6 October 2026 to 6 October 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
6 Oct 2026, 12:40 UTC157 views1 reactionsread 6 October 2026 Photo
🎰 普陀大胸御姐【点点】@dd9999981
开课福利
📮 参与条件
🪪 必须设置用户名
🎫 加入-上海艺术展览会备用群
🎫 加入-点点的朋友圈
🎫 加入-上海艺术展览会交流群
└ 🎟️ 发言数大于 10 条
🎫 加入-上海艺术展览会榜单
🎫 加入-上海艺术展览会(中转平台)
🎫 加入-上海艺术展览会报告区2.0
🎁 奖品名单
💰️ 半价500p900pp × 1
💰️ 现金红包🧧18.8 × 2
📜 抽奖说明
中奖者截图发给老师兑换 @dd9999981
开奖后3天内完成出击 如特殊情况可延后(红包🧧24小时内领取过后作废)
优惠劵获得者出击后必须写报告完不成请勿报名(近期没有上课意向的狼友 请勿参与 不去联系管理报备说明原因)
‼️报告要求 不能三言两语的敷衍,体验情况要写明
‼️禁止转让私下交易(如发现全网封杀)
点击查看【点点】个人资料:⬇️
https://t.me/yishuzanlanhui/39718
…
❤1
6 Oct 2026, 11:26 UTC137 viewsread 6 October 2026 Photo
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✉联系: @dd9999981
🤖双向: @ddmishu_bot
(备注“学院推荐”进VIP群)
📝【作业反馈01】
---------------------------------
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6 Oct 2026, 10:44 UTC156 viewsread 6 October 2026 👍👍👍【艺术展览会福利群】⬇️
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个人推荐频道88🧧
📡 上榜管理:@yishuja_bot
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6 Oct 2026, 06:05 UTC174 viewsread 6 October 2026 https://t.me/jiangnanlu1/23033?single
6 Oct 2026, 04:55 UTC156 viewsread 6 October 2026 Photo
Photo, posted without a caption
6 Oct 2026, 04:54 UTC176 viewsread 6 October 2026 艺名:#点点
地区: #普陀
🌸 年龄:23
🌸 胸围:36D
🌸体重:44g
🌸身高:164
💃标准S型身材,前凸后翘,🎀性格开朗,热情好聊,服务好,三点粉
服务: 陪浴 舌吻 69 胸推,臀推,乳交,足交,指滑,漫游,蚂蚁上树,会夹会吸,任意姿势摆布
🈲:无套 议价 口嗨,中途拔套,低素质
课费:1000/P 45分钟
课费:1800/PP 80分钟
下午茶:3000/3h(限3次)
夜:4500(11点8点)
包天7000(24小时)
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联系: @dd9999981
双向机器人: @ddmishu_bot
频道: https://t.me/xiaobudo
Showing the 6 most recent of 6 posts we hold for @xiaobudo. 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.
Mentions
Named by 2 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.
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 6 October 2026 — this
entry's latest reading, not the date you are reading this.
“点点的朋友圈” (@xiaobudo), 92 subscribers as measured 6 October 2026. Telegram Register, tgregister.com/channel/xiaobudo.
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.