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Channel

嘟嘟报告

@dudubaoga

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

14subscribers

+9 since we began measuring on 28 October 2026

Risers and fallers across the register · movement among entries of Under 1,000.

Register entry

Telegram ID-1003560755193
TypeChannel
Username@dudubaoga
Created12 October 2026 — measured — dated from the channel’s first post
First recorded28 October 2026
Last confirmed live5 November 2026
Measurements held4
Confirmed unchanged1 time, most recently 5 November 2026
On Telegramt.me/dudubaoga

Growth

5149.528 October 2026 — 5 subscribers28 October 2026 — 5 subscribers29 October 2026 — 6 subscribers5 November 2026 — 14 subscribers28 October 20265 November 2026
4 measurements spanning 8 days, net +9. 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 4–15 and does not start at zero.
Measurement log — every subscribers count we have recorded
Measured (UTC)SubscribersChange
5 Nov 2026, 22:3514+8
29 Oct 2026, 02:376+1
28 Oct 2026, 12:225no change
28 Oct 2026, 11:475first reading

Engagement

6 posts held, back to 12 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
1624.3%
avg views ÷ 14 subscribers
Avg views / post
227
5 posts measured
Reaction rate
0.261%
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 3 of 5 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 28 October 2026
Posts held6 (12 October 2026 – 28 October 2026)
Views total1,137
Reactions total2
Forwards / commentsnot exposed by the public surface — not measured, not estimated
Readings taken28 Oct 2026, 12:22 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.

Reaction mix

2 reactions across 2 posts, in 1 kind.

Every reaction kind recorded on the sample, most used first
ReactionCountShareShare, drawn
❤2100.0%

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 3 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 2 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 12 October 2026 to 28 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

Telegram’s own ‘edited’ marker: 0 of 6 posts held from the last 30 days (0%) carried it when this register last read them. The marker says a post was changed after publishing, not what it said before — this register holds the earlier wording only where an edit fell between two of its own reads (see the edit ledger and how it is measured).

28 Oct 2026, 10:13 UTC151 viewsread 28 October 2026

【客服榜报告模版】 ❤萝卜青菜各有所爱,出击感受仅代表个人喜好以及观点,请各位自行斟酌考量❗ 【出击日期】:10月28日 【出击人ID】:xiaoc 【老师艺名】:嘟嘟 【客服账号】:@fujianjingpin 【城市地区】:厦门 【茶费次数】:700p 【目测年龄】:18 【人照相似】:100(满分100) 【本人颜值】:100(满分100) 【身材曲线】:100(满分100) 【肤色质感】:100 【课表满足】:100 【情绪价值】:100(满分100) 【日☀后评语】:很有意思的小女孩,和她交流会感觉很开心,相貌方面很漂亮,尤其是眼睛亮闪闪的,双马尾,手臂和背部有纹身,情绪价值满分,我愿无限回刷的存在 【总体评分】:100(满分100) 【推荐指数】:7(最高7颗⭐) 【客服榜】 t.me/fujianbaogaochaxun

27 Oct 2026, 10:05 UTC219 viewsread 28 October 2026

【客服榜报告模版】 ❤萝卜青菜各有所爱,出击感受仅代表个人喜好以及观点,请各位自行斟酌考量❗ 【出击日期】: 10.27 【出击人ID】:日落 【老师艺名】:嘟嘟 【客服账号】:@fujianjingpin 【城市地区】:厦门 【茶费次数】:7 【目测年龄】:18 【人照相似】:(满分100) 90 【本人颜值】:(满分100) 90 【肤色质感】:光滑 【课表满足】:好 【情绪价值】:(满分100) 90 【日☀后评语】:JK穿搭妹妹,有符文,感觉的出来是刚下海的,比较健聊,口的很认真,不敷衍,小逼有毛发旺盛,逼很紧,真实的紧,全身柔软,屁股有肉,唯一缺点纹身比较多,叫的也很起劲,感觉要被你干死了一样的叫声,特别爽。 【总体评分】:(满分100) 90 【推荐指数】:(最高7颗⭐) 【客服榜】 t.me/fujianbaogaochaxun

25 Oct 2026, 10:20 UTC252 views1 reactionsread 28 October 2026

【客服榜报告模版】 ❤萝卜青菜各有所爱,出击感受仅代表个人喜好以及观点,请各位自行斟酌考量❗ 【出击日期】:10.25 【出击人ID】:专注少女 【老师艺名】:嘟嘟 【客服账号】:@fujianjingpin 【城市地区】:厦门 【茶费次数】:1p 【目测年龄】:18- 【人照相似】:视频最像 【本人颜值】:85 【肤色质感】:正常黄嫩滑 【课表满足】:满足 【情绪价值】:100 【日☀后评语】:进门第一感觉感觉像小土妹手臂有纹身较多就是资料那样,很稚嫩,优点就是性格很活泼聊的开配合度很高,情绪价值拉满,只要不介意纹身吃嫩首选,值得复刷 【总体评分】:95 【推荐指数】:6颗星(最高7颗⭐) 【客服榜】 t.me/fujianbaogaochaxun

❤1

13 Oct 2026, 14:00 UTC339 views1 reactionsread 28 October 2026

写报告拿积分⭐抽大奖获取 ❤萝卜青菜各有所爱,出击感受仅代表个人喜好以及观点,请各位自行斟酌考量❗ 【出击日期】:10,x 【出击人ID】:mc 【老师艺名】:嘟嘟 【客服账号】:@fujianjingpin 【城市地区】:湖里 【茶费次数】:7 【人照相似】:95(满分100) 【目测年龄】:18 【颜值妆造】:95(满分100) 【身材曲线】:95(满分100) 【乳房状态】:100(大小/真假) 【臀部形态】:95(小巧/大翘) 【皮肤状态】:90(肤色/质感) 【bb的状态】:95(户型/紧湿度) 【服务评分】:95(满分100) 【情绪价值】:100(满分100) 【日☀后感/详细描述】:再次感谢泡面哥,能有机会找到这么好的女孩,给到的惊喜不是一点点,是非常多非常多,软硬件全部在线,情绪价值爆表,不去会后悔的那种,表哥们温柔些把她留下吧!(不低于五十字,内容补充,可描过程表现,服务细节,优缺点,房间环境等) 【…

❤1

12 Oct 2026, 11:23 UTC176 views0 reactionsread 28 October 2026

写报告拿积分⭐抽大奖获取 ❤萝卜青菜各有所爱,出击感受仅代表个人喜好以及观点,请各位自行斟酌考量❗ 【出击日期】:10.12 【验证人ID】:wanglin 【老师艺名】:嘟嘟 【客服账号】:@fujianjingpin 【城市地区】:万达附近 【茶费次数】:7 【人照相似】:96(满分100) 【目测年龄】:18-2 【颜值妆造】:95(满分100) 【身材曲线】:98(满分100) 【乳房状态】:A(大小/真假) 【臀部形态】:紧翘(小巧/大翘) 【皮肤状态】:黄白(肤色/质感) 【bb的状态】:湿紧(户型/紧湿度) 【服务评分】:99(满分100) 【情绪价值】:99(满分100) 【日☀后感/详细描述】:(不低于五十字,内容补充,可描过程表现,服务细节,优缺点,房间环境等) 出击嘟嘟,俏皮嫩妹。人照基本一致,长得俏皮可爱,妆容偏成熟,颜值中上,淡妆会更好看。身高155左右,体重85上下,胸A+,翘臀,胸和屁股手…

Showing the 6 most recent of 6 posts we hold for @dudubaoga. 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.

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 5 November 2026 — this entry's latest reading, not the date you are reading this.

“嘟嘟报告” (@dudubaoga), 14 subscribers as measured 5 November 2026. Telegram Register, tgregister.com/channel/dudubaoga.

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.