#滨海新区 天津资源部 👉 @Caiwenjibot 极品身体逼紧水多粉嫩 做爱 胸推 臀推 波推 全身过水漫游 独龙 深喉 KB 三通 妹妹高挑,颜值在线,前凸后翘,奶子C+,白嫩长腿。乖巧听话,服务不错,有女友感。白虎馒头一线天,下面肥美粉嫩,插进去很紧,会吸会夹,水很多,很敏感,插一会儿就高潮喷水流白浆,最后在娇喘声中射了,很满意。

Channel
天津少妇少女资源部
@WDolsa
On this record: Growth · Engagement · What this channel posts · Reactions · Posts · Cite this entry
10,639subscribers
-798 since we began measuring on 7 August 2026
Risers and fallers across the register · movement among entries of 10,000–31,623.
Register entry
| Telegram ID | -1001274155923 |
|---|---|
| Type | Channel |
| Username | @WDolsa |
| Description | 天津少妇少女资源部 |
| Created | Between 1 April 2018 and 31 July 2021— estimated from Telegram’s id allocation, not measured. How this range is calculated. |
| First recorded | 7 August 2026 |
| Last confirmed live | 25 August 2026 |
| Measurements held | 17 |
| Confirmed unchanged | 1 time, most recently 25 August 2026 |
| On Telegram | t.me/WDolsa |
Growth
| Measured (UTC) | Subscribers | Change |
|---|---|---|
| 25 Aug 2026, 05:54 | 10,639 | -68 |
| 24 Aug 2026, 07:48 | 10,707 | -98 |
| 22 Aug 2026, 14:18 | 10,805 | -83 |
| 21 Aug 2026, 01:23 | 10,888 | -79 |
| 20 Aug 2026, 00:46 | 10,967 | -71 |
| 19 Aug 2026, 03:51 | 11,038 | -116 |
| 18 Aug 2026, 01:12 | 11,154 | -137 |
| 16 Aug 2026, 22:04 | 11,291 | -176 |
| 15 Aug 2026, 13:16 | 11,467 | -73 |
| 14 Aug 2026, 00:25 | 11,540 | +429 |
| 12 Aug 2026, 20:05 | 11,111 | -38 |
| 11 Aug 2026, 18:14 | 11,149 | -100 |
| 10 Aug 2026, 19:13 | 11,249 | -51 |
| 9 Aug 2026, 17:41 | 11,300 | -47 |
| 8 Aug 2026, 17:45 | 11,347 | -90 |
| 7 Aug 2026, 18:16 | 11,437 | no change |
| 7 Aug 2026, 18:07 | 11,437 | first reading |
Engagement
21 posts held, back to 13 February 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 30 pagesof Telegram’s post history, 20 posts per page.
- ERR · 30 days
- 18.8%
- avg views ÷ 10,639 subscribers
- Avg views / post
- 2,010
- 2 posts measured
- Reaction rate
- 0.046%
- reactions ÷ views · ER floor
- Posts in window
- 2
- of 21 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 1 of 2 measured posts that carry a reaction reading, and over those same posts' views.
| Window | Rolling 30 days · latest post in window 13 August 2026 |
|---|---|
| Posts held | 21 (13 February 2026 – 13 August 2026) |
| Views total | 4,010 |
| Reactions total | 1 |
| Forwards / comments | not exposed by the public surface — not measured, not estimated |
| Readings taken | 25 Aug 2026, 19:22 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.
What this channel posts
- Photos
- 482
- Videos
- 248
- Links
- 2
Lifetime counters from Telegram’s own channel header, read 25 August 2026 — not the date at the top of this page, which is when the subscriber count was last read. Below Telegram’s rounding threshold, so these counts are exact.
Reaction mix
18 reactions across 12 posts, in 4 distinct kinds. The most used accounts for 83.3% of them.
| Reaction | Count | Share | Share, drawn |
|---|---|---|---|
| ❤ | 15 | 83.3% | |
| 👍 | 1 | 5.56% | |
| 👏 | 1 | 5.56% | |
| 🔥 | 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 13 of the 21 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 21 most recent posts we hold, published 13 February 2026 to 13 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
#南开区 天津资源部 👉 @Caiwenjibot 纯欲小花蕾粉嫩多汁 69,陪浴,波推,指滑,臂推,丝袜制服,任意姿势,舌吻,爱爱等等 脸很粉嫩,看起来漂亮,摸起来软,摸敏感处会抖。下面紧、肥、水多,摸几下就流水。叫不停,换了好几个姿势,69时她高潮很快,躺直让我继续,不让我停。我慢下来她拉着我屁股自己动。口活和叫声很舒服。
❤1
#北辰区 天津资源部 👉 @Caiwenjibot 宝藏妹妹身姿凹凸有致 花式沐浴,吹箫,跪舔,吸吸奶,臀推,后入式啪啪,都可以玩 妹妹刚出来兼职,身材不错,皮肤白嫩。聊了几句去洗澡。床上躺着,她从耳朵慢慢舔到胸口再到鸡巴,开始口活,无齿感,不停用舌头舔龟头。
#南开区 天津资源部 👉 @Caiwenjibot 风骚御姐完美炮架 陪浴,漫游,口吹,爱爱,可69,丝袜制服 妹子脸长得挺好看的。态度不错,奶子很大,弹性好,很软。会聊天,主动热情,不光当客人,还有点男朋友的感觉,这种服务少见。口活调情很舒服,屁股圆,身材不错,服务自然。
#北辰区 天津资源部 👉 @Caiwenjibot 妹子颜值娇躯灵动诱人 花式沐浴,吹箫,跪舔,吸吸奶,臀推,后入式啪啪,都可以玩 见面付钱。老师在卫生间帮洗澡,同时口交。上床后她爬到我身上,口交时说话温柔。做毒龙后,她从后面躺着含着鸡巴口。插入后,她高潮时下面会收缩吸。
❤2
#滨海新区 天津资源部 👉 @Caiwenjibot 天生丽质白皮肤小姐姐 冰火,毒龙,69,胸推,漫游,爱爱 妹子服务很细致,能亲能摸,不能扣逼。我喜欢口活,让她多口了一会儿,她很耐心。她屁股不大,后入很爽,她会夹,很紧。她是御姐气质,床上很骚。
#津南区 天津资源部 👉 @Caiwenjibot 清纯可爱甜妹 陪浴,漫游,胸推,臀推,口活,舌吻,69,水中萧,毒龙,丝袜,爱爱等 开门见到妹子。把她拉进怀里。她把我拉去洗澡。洗完后躺在床上开始服务。服务内容包括课表上的所有项目。之后她用嘴含住鸡巴。用手在她身上摸。戴上套子,把她按在身下,插入她的穴。感觉紧而热。换了几个姿势后射精
👏1
#南开区 天津资源部 👉 @Caiwenjibot 白嫩大胸蝴蝶名器叫声很骚 独龙,深喉、69、胸推,莞式服务 制服诱惑,爱爱 妹子身材非常好,皮肤白嫩,胸部漂亮,小奶头粉嫩不黑。她是刚出来没多久的新人,逼是蝴蝶名器,非常会吸,没干多久就出水高潮了,夹得特别紧。口活很爽,叫声特别骚。有兴趣的朋友可以约。
❤1
#津南区 天津资源部 👉 @Caiwenjibot 黑丝魅惑性欲强嫩妹 舌吻,69,漫游,胸推,臀推,鸳鸯浴,口爆,深喉,毒龙,制服诱惑,角色扮演 她操起来真淫荡,一起脱光衣服洗澡,她在水里给我口,动作很骚。口活温柔舒服。戴套直接正戏,先女上位,鸡巴插进去又紧又湿又热。我双手用力揉她大奶,看着她骚表情特别爽。她累了换我压上去猛干,她喘着大声呻吟,没多久就高潮了,逼夹得死紧,还喷了好多水,里面不停收缩吸我鸡巴,爽得一批。
👍1
#河北区 天津资源部 👉 @Caiwenjibot 顶级可吞精少女 全套.鸳鸯浴.口爆.毒龙.做爱.胸推.69.SM.按摩舌吻.内射.颜射.制服诱惑 服务态度很好,项目丰富,AB面都做得很细致周到。口活一流,每次都让我回味无穷。走之前还给我一个拥抱。
❤2
#津南区 天津资源部 👉 @Caiwenjibot 肤白胸大大美女 胸推,臀推,毒龙,口爆,69互舔,激情爱爱 先一起洗澡,到床上开始做。口活和毒龙特别细致。她女上位开始,两个大奶子上下晃动,我感觉快射了,赶紧换姿势,最后后入猛干结束,明显感到她高潮了。
❤2🔥1
#和平区 天津资源部 👉 @Caiwenjibot 性感诱人奶子有傲人的资本 爱爱、独龙,深喉、KB、胸推,莞式服务 制服诱惑 非常性感诱人,一对大奶子手感特别好。脱光一起进浴室洗澡,基本不用我动手,她帮我洗得干干净净。洗完回到床上,她温柔地舔我全身,皮肤很滑,舌头很灵巧。服务完戴上套,开始操她。她很配合,叫声很销魂,整个过程让我特别满足。
Showing the 12 most recent of 21 posts we hold for @WDolsa. 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.
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 25 August 2026 — this entry's latest reading, not the date you are reading this.
“天津少妇少女资源部” (@WDolsa), 10,639 subscribers as measured 25 August 2026. Telegram Register, tgregister.com/channel/WDolsa.
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.