Telegram RegisterThe public register of Telegram

Channel

坂田晚晚私人频道

@xinxinwanwan

On this record: Growth · Engagement · What this channel posts · Posts · Citations · Cite this entry

11subscribers

+7 since we began measuring on 6 August 2026

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

Register entry

Telegram ID-1003988530025
TypeChannel
Username@xinxinwanwan
CreatedBetween 1 April 2026 and 26 July 2026— estimated from Telegram’s id allocation, not measured. How this range is calculated.
First recorded13 August 2026
Last confirmed live13 August 2026
Measurements held3
Confirmed unchanged1 time, most recently 13 August 2026
On Telegramt.me/xinxinwanwan

Growth

4117.56 August 2026 — 4 subscribers13 August 2026 — 4 subscribers13 August 2026 — 11 subscribers6 August 202613 August 2026
3 measurements spanning 7 days, net +7. 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 3–12 and does not start at zero.
Measurement log — every subscribers count we have recorded
Measured (UTC)SubscribersChange
13 Aug 2026, 14:0811+7
13 Aug 2026, 05:164no change
6 Aug 2026, 20:054first reading

Engagement

20 posts held, back to 26 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 pageof Telegram’s post history, 20 posts per page.

ERR · 30 days
282.8%
avg views ÷ 11 subscribers
Avg views / post
31.1
19 posts measured
Reaction rate
—
this channel exposes no reaction counts
Posts in window
20
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.

What these figures were computed from
WindowRolling 30 days · latest post in window 12 August 2026
Posts held20 (26 July 2026 – 12 August 2026)
Views total591
Reactions total—
Forwards / commentsnot exposed by the public surface — not measured, not estimated
Readings taken13 Aug 2026, 05:16 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
1m 31s
Average length
18s

Measured directly from 5 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.

Recent posts

6 Aug 2026, 13:41 UTC33 viewsread 13 August 2026

名字晚晚：地区坂田岗头地铁站10好线，停车地铁都方便公寓教室 年龄27岁，高160-重98斤，胸34c纯天然真胸，肤白，身彩超好，s身型，小巧玲珑，没有刻意去P图，频道照片就是晚晚本人，对板，也可以外卖，需先路飞。 600一课五石分钟 1100二课玖石分钟 1500二小石不限次 课程：豪华餐莞式服务，鸳羊雨，氺仲肖，调晴，双面bo退，无涛口肖，甜大退三角区域，背步氺宵，高山流水，真读笼，舌头直接舔屁屁，读笼专，仙女摘桃，倒挂金钩，嗨底唠月，蚂蚁上树，舍尖漫游，冰伙两重天，特色《含冰伙跳跳糖》六玖，品鲍鱼，思蛙，高根鞋，制富，丁字裤《aiai必须代涛》不接吻 注：扶物中出水算一课，喝酒，吃药，不接单，没有写的就是没有不要问了，不闲聊，买二课的中途自己原因离开一律不退米，不催时间⏰，但按时下课，不包出水，最后带现金，㊗️哥哥工作顺利生活愉快！《不上夜课》

6 Aug 2026, 13:34 UTC33 viewsread 13 August 2026

深圳精品修车团认证 精品老师👍 玩转深圳 纵享精品👍 点击加入👇

6 Aug 2026, 09:34 UTC35 viewsread 13 August 2026

宝贝自己和哥哥聊的天，但我刚来这个软件还不怎么会操作，我不知道讲语音的在哪里，刚刚研究了怎么发视频出来，我慢慢研究吧。

Showing the 12 most recent of 20 posts we hold for @xinxinwanwan. 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

Citation-graph rank — 715,885 of 1,480,688entries 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.

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.

深圳精品修车团认证榜单
@SZJPbd0880 · 15,0011 post

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 13 August 2026 — this entry's latest reading, not the date you are reading this.

“坂田晚晚私人频道” (@xinxinwanwan), 11 subscribers as measured 13 August 2026. Telegram Register, tgregister.com/channel/xinxinwanwan.

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.