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Channel

朵朵的频道

@duoduo777

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

362subscribers

+66 since we began measuring on 29 August 2026

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

Register entry

Telegram ID-1004318287281
TypeChannel
Username@duoduo777
CreatedBetween 1 June 2026 and 12 August 2026 — estimated from Telegram’s id allocation, not measured. How this range is calculated.
First recorded29 August 2026
Last confirmed live7 September 2026
Measurements held3
Confirmed unchanged1 time, most recently 7 September 2026
On Telegramt.me/duoduo777

Growth

29636232929 August 2026 — 296 subscribers29 August 2026 — 300 subscribers7 September 2026 — 362 subscribers29 August 20267 September 2026
3 measurements spanning 9 days, net +66. 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 286–372 and does not start at zero.
Measurement log — every subscribers count we have recorded
Measured (UTC)SubscribersChange
7 Sept 2026, 23:02362+62
29 Aug 2026, 23:23300+4
29 Aug 2026, 16:30296first reading

Engagement

19 posts held, back to 12 August 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 page of Telegram’s post history, 20 posts per page.

ERR · 30 days
144.7%
avg views ÷ 362 subscribers
Avg views / post
524
14 posts measured
Reaction rate
0.214%
reactions ÷ views · ER floor
Posts in window
16
of 19 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 6 of 14 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 29 August 2026
Posts held19 (12 August 202629 August 2026)
Views total7,332
Reactions total7
Forwards / commentsnot exposed by the public surface — not measured, not estimated
Readings taken29 Aug 2026, 16:30 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

7 reactions across 4 posts, in 1 kind.

Every reaction kind recorded on the sample, most used first
ReactionCountShareShare, drawn
7100.0%

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 7 of the 19 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 7 reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.

Measured over the 19 most recent posts we hold, published 12 August 2026 to 29 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

28 Aug 2026, 07:46 UTC198 views0 reactionsread 29 August 2026

成都91修车学院】®专属报告 🔴基础信息 【妹子花名】:#朵朵 【妹子车牌】:@duoduo7_7 【验证留名】:雷帝嘎嘎 【验证时间】:8.28 【所在位置】:东郊记忆 【修车水费】:7p-1 【是否代聊】:自聊 🟡硬件评价 【身高体重】:65 90斤,但是肚子屁股有肉,手感丰满 【妹子年龄】:25 【湿度紧度昆感】:紧,不一会儿就很润了 【人照评分】:10 【颜值评分】:酒店公寓,干净整洁 【凶器罩杯】:b+ 🟢软件评价 【环境卫生】:酒店公寓,干净整洁 【服务内容】:亲胸,大蟒🐍,口,做,陪洗 【机车行为】:无 🟣综合评价 【优点缺点】:优点:态度很好,高颜值御姐,会聊天,有点小M 缺点:胸不算大 【性价比】: 9分/满分10.0分 【推荐程度】:10分/满分10.0分 评分标准 6分为及格,7分为良品(考虑价格可以看一看),8分(值得价格并且建议体验),9分(实为该价位中少见的精品),10分(

25 Aug 2026, 06:02 UTC370 views1 reactionsread 29 August 2026
Forwarded from @CDCNTbg

成都修车·男团女团验车报告 🏷基础信息 【老师花名】:朵朵 【老师车牌】: @duoduo7_7 【验证留名】:@摄影道理 【验证时间】:8月26 【修车水费】:7p 【所在位置】:东郊记忆 【验证群聊】:@CDCnantuannvtuan 👙软硬配置 【标签类型】:#御姐车 #大蟒蛇 #颜值车 【老师年龄】:25 左右不超过27 【身高身材】:净身高起码165 身材匀称有点点小肚子不影响观感更显真实 体重不到100斤 【胸器罩杯】:B 挺拔不下垂 圆润一手掌握 【紧度湿度】:褐色小蝴蝶,毛量少,一摸就出水,很紧很润,有包裹感 【服务项目】:三件套,大蟒蛇,轻微sm 课表上的都有 【优点缺点】:人照9分,频道里都是很真实的照片,很骚,有点SM喜欢被辱骂 缺点:非要说缺点的话,有点点小肚子 不过很真实,在我看来是优点 💋自由发挥 【过程描述】:百无聊赖的一个下午,群里看到狼友分享朵朵老师,一看不远,遂找到车

1

24 Aug 2026, 08:05 UTC364 views1 reactionsread 29 August 2026

【成都91修车学院】®专属报告 🔴基础信息 【妹子花名】:#朵朵 【妹子车牌】:@duoduo7_7 【验证留名】:小肥宅 【验证时间】:8.24 【所在位置】:东郊记忆 【修车水费】:7p-1 【是否代聊】:自聊 🟡硬件评价 【身高体重】:65 90斤,但是肚子屁股有肉,手感丰满 【妹子年龄】:25 【湿度紧度昆感】:紧,不一会儿就很润了 【人照评分】:10 【颜值评分】:酒店公寓,干净整洁 【凶器罩杯】:b+ 🟢软件评价 【环境卫生】:酒店公寓,干净整洁 【服务内容】:亲胸,大蟒🐍,口,做,陪洗 【机车行为】:无 🟣综合评价 【优点缺点】:优点:态度很好,高颜值御姐,会聊天,有点小M 缺点:胸不算大 【性价比】: 9分/满分10.0分 【推荐程度】:10分/满分10.0分 评分标准 6分为及格,7分为良品(考虑价格可以看一看),8分(值得价格并且建议体验),9分(实为该价位中少见的精品),10分(

1

15 Aug 2026, 16:17 UTC887 views4 reactionsread 29 August 2026

成都修车·男团女团验车报告 🏷️基础信息 【老师花名】:朵朵 【老师车牌】: @duoduo7_7 【验证留名】:朝暮 【验证时间】:8月 【修车水费】:7p 【所在位置】:东郊记忆 【验证群聊】:@CDCnantuannvtuan 👙软硬配置 【标签类型】:#御姐车 #大蟒蛇 #颜值车 【老师年龄】:25左右 【身高身材】:老师的165,身材匀称有点小肚子,体重48kg 【胸器罩杯】:b胸,奶头褐色葡萄大小,手感小巧玲珑 【紧度湿度】:褐色小蝴蝶,毛量少,一摸就出水,紧有包裹感和褶皱感 【服务项目】:三件套,大蟒蛇,轻微sm 【优点缺点】:人照高,所见即所得,足够骚,有sm倾向,喜欢被掐脖子被打喜欢被骂,缺点,胸小了点,有点小肚子 💋自由发挥 【过程描述】:遥控上楼,老师一身情趣内衣开门相迎,人照8.8分,跟频道照片基本无差,所见即所得,老师很热情拉着我就坐在沙发上询问是休息一下还是洗澡,跟老师一起抽了根事前烟后交费洗澡,

4

Showing the 12 most recent of 19 posts we hold for @duoduo777. 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.

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 7 September 2026 — this entry's latest reading, not the date you are reading this.

“朵朵的频道” (@duoduo777), 362 subscribers as measured 7 September 2026. Telegram Register, tgregister.com/channel/duoduo777.

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.