明天海口开课了 可以提前预约了

Channel
兔兔朋友圈
@tutuwo123321
On this record: Topic · Growth · Engagement · What this channel posts · Reactions · Posts · Citations · Cite this entry
1,006subscribers
+1 since we began measuring on 23 August 2026
Risers and fallers across the register · movement among entries of 1,000–3,162.
Register entry
| Telegram ID | -1003311528448 |
|---|---|
| Type | Channel |
| Username | @tutuwo123321 |
| Created | Between 1 November 2025 and 31 March 2026 — estimated from Telegram’s id allocation, not measured. How this range is calculated. |
| First recorded | 24 September 2026 |
| Last confirmed live | 27 September 2026 |
| Measurements held | 11 |
| Confirmed unchanged | 1 time, most recently 27 September 2026 |
| On Telegram | t.me/tutuwo123321 |
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 24 September 2026 and assigned it the closest of 31 fixed categories, at 52% 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 |
|---|---|---|
| 27 Sept 2026, 22:38 | 1,006 | -9 |
| 24 Sept 2026, 20:01 | 1,015 | no change |
| 18 Sept 2026, 18:57 | 1,015 | -40 |
| 14 Sept 2026, 18:20 | 1,055 | -25 |
| 11 Sept 2026, 03:37 | 1,080 | +3 |
| 6 Sept 2026, 12:39 | 1,077 | +16 |
| 1 Sept 2026, 22:26 | 1,061 | +3 |
| 30 Aug 2026, 00:57 | 1,058 | +8 |
| 26 Aug 2026, 19:29 | 1,050 | +19 |
| 24 Aug 2026, 02:58 | 1,031 | +26 |
| 23 Aug 2026, 05:45 | 1,005 | first reading |
Engagement
20 posts held, back to 22 July 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
- 102.3%
- avg views ÷ 1,006 subscribers
- Avg views / post
- 1,030
- 4 posts measured
- Reaction rate
- 0%
- reactions ÷ views · ER floor
- Posts in window
- 5
- of 20 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 4 measured posts that carry a reaction reading, and over those same posts' views.
| Window | Rolling 30 days · latest post in window 17 September 2026 |
|---|---|
| Posts held | 20 (22 July 2026 – 17 September 2026) |
| Views total | 4,118 |
| Reactions total | 0 |
| Forwards / comments | not exposed by the public surface — not measured, not estimated |
| Readings taken | 24 Sept 2026, 20:01 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
- 16s
- Average length
- 5s
Measured directly from 3 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
26 reactions across 7 posts, in 3 distinct kinds. The most used accounts for 76.9% of them.
| Reaction | Count | Share | Share, drawn |
|---|---|---|---|
| ❤ | 20 | 76.9% | |
| 🔥 | 5 | 19.2% | |
| 💔 | 1 | 3.85% |
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 20 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 26 reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.
Measured over the 20 most recent posts we hold, published 22 July 2026 to 17 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
兔兔朋友圈 pinned «这个号用不了了 防止迷路联系我新号 @tutuzaihn 频道 https://t.me/tutusykkz6688 双向机器人 @tutudchtbot»
这个号用不了了 防止迷路联系我新号 @tutuzaihn 频道 https://t.me/tutusykkz6688 双向机器人 @tutudchtbot
上课啦⭐⭐
三亚开课了
出击报告 (https://t.me/Hainanbang) 验证留名:肌肉猛男(兔丸认证版) 上课时间:8.23 老师花名:#丸子#兔兔 位置坐标:#美兰 上课花费:29双飞 颜值身材:9分 服务内容:课表上 出击体验:约了n遍,终于运气好碰到老师在海口而且有课,运气更好的是她俩都有空,果断就约了双飞。两个老师各有春秋,兔兔童颜巨乳,丸子娇小玲珑。约课过程中两位老师配合度拉满,一个攻上,一个攻下,让第一次双飞的我简直打开了新世界大门,流连忘返,意犹未尽。以至于第二水的时候状态出奇的好,两个老师轮番上阵都没弄出来,最后是在聊天中结束。 优点缺点:一个童颜巨乳一个娇小玲珑各有千秋 缺点无 推荐程度:10分 联系方式:@tuzihahah @wanziixixi2 1,需要狼友提交报告 2,需要预约记录 3,需要付款记录,线上支付不需要拍照
❤2
海口开课了
出击报告 (https://t.me/Hainanbang) 验证留名:小北旺旺 上课时间:8月20日 老师花名:#兔兔 位置坐标:#上门 上课花费:包天+包天 颜值身材:9.5 服务内容:9 出击体验:来海口玩翻榜单看见了兔兔,询问了一番发现兔兔老师在三亚,果断把兔兔薅到海口包天。在楼下接到了兔兔 人照一致 眼睛大大的很可爱 然后上楼一起洗澡 洗澡的时候边口边用大大的眼睛看着你 然后就开始了正题 过程略过 休息的时候聊天不冷场很活跃 情绪价值拉满 优点缺点:身材比例不错 前凸后翘 眼睛大大的 缺点无 推荐程度:十分推荐 联系方式:@tuzihahah 1,需要狼友提交报告 2,需要预约记录 3,需要付款记录,线上支付不需要拍照
三亚开课了
今天满了 明天三亚开可以预约哦
💔1
还有几天回三亚了 海口的要来尽快了
海口开课啦
❤4🔥3
Showing the 12 most recent of 20 posts we hold for @tutuwo123321. 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 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 27 September 2026 — this entry's latest reading, not the date you are reading this.
“兔兔朋友圈” (@tutuwo123321), 1,006 subscribers as measured 27 September 2026. Telegram Register, tgregister.com/channel/tutuwo123321.
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.