Channel
@duocc22
On this record: Growth · Engagement · Reactions · Posts · Citations · Cite this entry
859subscribers
+1 since we began measuring on 10 August 2026
Risers and fallers across the register · movement among entries of Under 1,000.
| Telegram ID | -1003915398923 |
|---|---|
| Type | Channel |
| Username | @duocc22 |
| Created | Between 1 April 2026 and 21 June 2026— estimated from Telegram’s id allocation, not measured. How this range is calculated. |
| First recorded | 10 August 2026 |
| Last confirmed live | 11 August 2026 |
| Measurements held | 2 |
| Confirmed unchanged | 1 time, most recently 11 August 2026 |
| On Telegram | t.me/duocc22 |
| Measured (UTC) | Subscribers | Change |
|---|---|---|
| 11 Aug 2026, 01:48 | 859 | +1 |
| 10 Aug 2026, 16:30 | 858 | first reading |
18 posts held, back to 21 June 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 pageof Telegram’s post history, 20 posts per page.
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 6 measured posts that carry a reaction reading, and over those same posts' views.
| Window | Rolling 30 days · latest post in window 9 August 2026 |
|---|---|
| Posts held | 18 (21 June 2026 – 9 August 2026) |
| Views total | 7,252 |
| Reactions total | 3 |
| Forwards / comments | not exposed by the public surface — not measured, not estimated |
| Readings taken | 10 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.
18 reactions across 8 posts, in 2 distinct kinds. The most used accounts for 94.4% of them.
| Reaction | Count | Share | Share, drawn |
|---|---|---|---|
| ❤ | 17 | 94.4% | |
| 👍 | 1 | 5.56% |
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 9 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 18reactions 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 21 June 2026 to 9 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.
杭州秋雅总群：https://telegram.me/nanjinggeren66 🌳【客名】：闪闪电 📆【日期】: 8月9日 🧘♀【老师】: #朵朵 📮【联系】：@duoduoa99 🏡【位置】：上城区 💰【课费】：600p 🌏【罩杯】：D+ 🧖♀【服务】：都有 📋【详情】：昨天约朵朵老师没约上 ，今天依然接着约 终于约上了，，进门看到朵朵， 鸡鸡就不受控制的翘了起来，好没出息，人与人之间可能就那么微妙吧，很性感撩人，身材那么大完美，要屁股有屁股，要身材有身材，胸也是纯天然的 又大摸着也很舒服，服务过程很zi细心，口的也很舒服，做爱很和谐，姿势基本上都配合，私处很紧致，也很水多多，之所以对她上头是有原因的。💋💋 【机车行为】： 无 【优点缺点】：会二刷 很好 【推荐程度】：⭐⭐⭐⭐⭐
开课了头课🉑约
❤1
杭州秋雅总群：https://telegram.me/nanjinggeren66 🌳【客名】：千岛湖 📆【日期】: 7月27日 🧘♀【老师】: #朵朵 📮【联系】：@duoduoa99 🏡【位置】：上城区 💰【课费】：1000p 🌏【罩杯】：D+ 🧖♀【服务】：都有 📋【详情】：朵朵老师是我非常喜欢的类型，服务系御姐，眉眼好看，身材顶级，为了cj她，我直接翘班来找她，位置不错，隐蔽性高，非常安全。进门就是抹胸裙，皮肤白皙又光滑，主要是骚，是我最爱的那款，挑逗一会，就硬了起来，陪我伴浴，一边洗一边蹭我，我早就饥渴难耐了，我直接上手掐他的乳房，摸她的骚逼，然后擦干净后一把抱到床上，露出八字奶，我艹淫语不断，没几下给我挑拨的血脉澎湃，服务做的很认真，爽 然后我直接带套压制，一边抽查一边听朵朵说骚气的话，bb的水是真的最，没几下就被她刺激射了，然后给我按摩，我真没有遇到这么骚气的御姐，第二炮被她强奸，坐我身上干，一边干一边眉…
👍1
【时间】：2026-07-25 【老师】：朵朵 【留名】：🍊 橘 【费用】：300 【评价】：👍 好评 【人照】：9.0 【颜值】：8.0 【身材】：9.0 【服务】：10.0 【态度】：10.0 【环境】：9.0 【综合】：9.17 【过程】：周末水群发现兑换上新了老师，果断兑换拿下。随即与老师约定时间出击。位置在东站的一个老小区安全性相对不错。遥控上楼，见面老师穿着qqny，化着淡妆，交完水费之后进入浴室洗漱，有帮洗全程老师热情帮洗非常贴心。帮忙擦完水后来房间。因为有pp选择先做一次，老师简单的口之后就戴套进入，先是女上插入的碰撞伴随着老师巨乳的摇晃显得非常色情。后续换后入伴随着老师的娇喘出货。休息会老师开始b面服务按摩，胸推，漫游等等都很仔细，边服务边聊天得知老师之前是专业的场所出来的。技术好评。毒龙没有要。换正面，ls舌头非常灵活，口的技术非常娴熟，一边享受一边把玩老师的大胸。开始戴套进入。第二次阈值比较高尝试了各种姿势…
❤1
有空🉑约
开课了
杭州狼友出击协会模板 https://t.me/+yI0wXTr_cK8wMTA1 【综合评价】：好评 【验证留名】：一杆长枪 【验证时间】：7月 9 日 【妹子花名】：朵朵 【联系方式】：@duoduoa99 【所在位置】：东站附近 【修车水费】：600pp 【包含服务】：有的打✅ ① 舌吻 ② 69舔逼 ✅ ③ 情绪价值 ✅ ④ 毒龙 ✅ 【身高身材】：身高160，无纹身，皮肤手感嫩滑 【颜值相似】：人照相似程度8.5分，颜值好看，气质很好，穿搭性感 【凶器罩杯】：胸型大小C，乳头小小的，整体手感很软 【服务总结】：服务很好，项目也很多，过程没有机车 【个人卫生】：没有抽烟，无漱口水 有浴巾，事前事后有清洗 【时间管理】：开课准时，排课宽松，课时做完整 【推荐程度】：9分，价格很合理，非常值得二刷 【流程小文】：晚上没事联系了朵朵老师，谈好价格直接出发过来，到了小区没有门禁，位置…
❤3
有空位🉑约
杭州狼友出击协会模板 https://t.me/+yI0wXTr_cK8wMTA1 【综合评价】：#中评 【验证留名】：凡尘 【验证时间】：6月26日 【妹子花名】：朵朵 【联系方式】：@duoduoa99 【所在位置】：上城 【修车水费】：优惠p 【包含服务】：有的打✅ ① 舌吻 ② 69舔逼 ③ 情绪价值 ✅ ④ 毒龙 ✅ 【身高身材】：160左右，微胖 【颜值相似】：人照相似7成 【凶器罩杯】：胸型C 【服务总结】：服务还行，该做的都做了，不机车 【个人卫生】：不抽烟，清洗很干净 【时间管理】：时间很足 【推荐程度】：8分，这个价格值得二刷 【流程小文】：如约到小区楼下，热情开门迎接，看着年龄比描述的稍大。服务到很到位，先冲澡，老师帮我上下洗，口了一会儿，然后擦干去房间。先是B面一整套，再是A面，很仔细，想帮我先口出来，奈何5-6分钟过去实在不敏感，于是直接戴伞坐上来。期间怎么折腾…
❤6
朵朵的花园 pinned a photo
💐💐💐开奖了💐💐💐 朵朵老师给狼友出击福利了 @duoduoa99 开奖了! 本期总参与人数: 156 1- 堕落神仙 获得:朵朵老师7折优惠活动400P 谨祝中奖用户大吉大利万事顺意
朵朵的花园 pinned a photo
Showing the 12 most recent of 18 posts we hold for @duocc22. 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 — 801,568 of 1,345,403entries 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.
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.
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.
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 11 August 2026 — this entry's latest reading, not the date you are reading this.
“朵朵的花园” (@duocc22), 859 subscribers as measured 11 August 2026. Telegram Register, tgregister.com/channel/duocc22.
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.