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Channel

武汉东逝水的白名单

@dongshishui

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

26,625subscribers

+311 since we began measuring on 24 August 2026

Risers and fallers across the register · movement among entries of 10,000–31,623.

Register entry

Telegram ID-1002306275356
TypeChannel
Username@dongshishui
Description武汉楼凤老师白名单,本地资讯一站式新手村,出击入门最优解!交流 @whldt 联系频道 @dss86_bot 推荐武汉上榜 @wuhan_dangan
CreatedBetween 1 September 2024 and 31 March 2025— estimated from Telegram’s id allocation, not measured. How this range is calculated.
First recorded24 August 2026
Last confirmed live29 August 2026
Measurements held6
Confirmed unchanged1 time, most recently 29 August 2026
On Telegramt.me/dongshishui

Growth

26,31026,62526,467.524 August 2026 — 26,314 subscribers25 August 2026 — 26,310 subscribers26 August 2026 — 26,330 subscribers27 August 2026 — 26,369 subscribers28 August 2026 — 26,584 subscribers29 August 2026 — 26,625 subscribers24 August 202629 August 2026
6 measurements spanning 5 days, net +311. 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 26,263–26,672 and does not start at zero.
Measurement log — every subscribers count we have recorded
Measured (UTC)SubscribersChange
29 Aug 2026, 15:2226,625+41
28 Aug 2026, 14:0626,584+215
27 Aug 2026, 11:1226,369+39
26 Aug 2026, 10:2426,330+20
25 Aug 2026, 07:3726,310-4
24 Aug 2026, 09:4626,314first reading

Engagement

7 posts held, back to 11 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 13 pagesof Telegram’s post history, 20 posts per page.

ERR · 30 days
41.0%
avg views ÷ 26,625 subscribers
Avg views / post
10,900
7 posts measured
Reaction rate
1.12%
reactions ÷ views · ER floor
Posts in window
7
of 7 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 29 August 2026
Posts held7 (11 August 202629 August 2026)
Views total76,450
Reactions total854
Forwards / commentsnot exposed by the public surface — not measured, not estimated
Readings taken29 Aug 2026, 23:54 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
240
Videos
47
Links
282

Lifetime counters from Telegram’s own channel header, read 29 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.

Video runtime
18s
Average length
9s

Measured directly from 2 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.

Reaction mix

854 reactions across 7 posts, in 10 distinct kinds. The most used accounts for 65.2% of them.

Every reaction kind recorded on the sample, most used first
ReactionCountShareShare, drawn
👍55765.2%
10812.6%
💯424.92%
🔥414.80%
🥰414.80%
🎉384.45%
👌101.17%
🤔91.05%
👏60.703%
🙏20.234%

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 7 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 854reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.

Measured over the 7 most recent posts we hold, published 11 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

29 Aug 2026, 07:15 UTC≈2,410 views54 reactionsread 29 August 2026
Photo

#武汉楼凤 小绵羊 卧槽泥马!! 声音像就算了,瞟一眼,更踏马像了,不是长得多像,就那种一刹那似是故人来的感觉,你们懂的吧,懂我说的那种感觉吧,各位,各位! 本来就是看那个青涩版标签去瞅瞅看能不能打个假的,玛德,日的时候那个那个抖抖无措,搂抱的感觉也踏马有点影子,人生啊,真是神奇!!! 低头进门,未见其人先闻其音, 嗯!!? 猛抬头,又踏马恍惚了一下, 嗯!!? 细看,不,不是她,但是像的确实有点多了哈哈 抛开这些,妹纸本身软硬件综合打分也很不错,这不是夸夸,是事实,不虚此行。 人照匹配度高,很实在的展示,颜值上等,身材上等,肤色一般,肤质在线,反馈上等,会贴贴,日感在线。 Ps: 只是影似,只是影似,万万不要抱着对标u的期待去啊,青涩版就是青涩版,人生体验图一乐,u的熟人可以打卡瞅瞅,哈哈,活的久就是能遇到很多有趣的事情! 小绵羊正在抽奖,可以试试手气。 👉🏻 https://t.me/wuh

👍337🔥6💯3🎉2🥰2🙏1

27 Aug 2026, 13:54 UTC≈5,160 views101 reactionsread 29 August 2026
Photo

#武汉外围 #个人上门 #投稿 只知 联系: 虎头外围 - 个人上门资源 颜值中上,相貌明显的稚嫩感,鹅蛋脸,大框眼镜妹儿,戴俩儿耳坠梳起大人模样,难掩稚态,不会发散女性魅力的年纪。 身段上等(骨感类型),小荷没开苞的对A,条子很正,脖颈修长,婷婷而立,虽然看就知道是个懒鬼,但天生骨架体态很有专业模特感,瘦,胯宽臀有小肉肉,女上和后入均无硌感。 肤色正常,肤质一般。 态度很不错,不怂,能聊,蛮自然。 服务水平,此项略过,看着就不咋会,胜在听话和配合。所以自己主导为主,你态度好一点,这妹妹🐍是肯放尺度的,不应付,舌头还挺长。。。 日感在线,体感没什么很特别,但是就有莫名其妙的性张力,不知道是不是我个人原因,不仅射感来的快,聊天的时候心跳就加速了好几次,生物本能好像挺吃这一款啊🤔,二弟持续性蠢蠢欲动蠢蠢欲动,你给劳资冷静一点啊混蛋 提示: 这是上门的外围哈,各人细看内容,量力而行。 以上 仅供参考 Ps.:

👍3617💯14🎉12🥰12🔥8👏2

24 Aug 2026, 17:56 UTC≈8,180 views71 reactionsread 29 August 2026

⚠️活动推介 两个白嫖系列抽奖+1个限时减1 叶安 28号开奖 https://t.me/wuhan_dangan/538 小绵羊 31号开奖 https://t.me/wuhan_dangan/562 小知 25-27号三天p减100 https://t.me/wuhan_dangan/567 —————————— 🛍商业广告区 MMC散人组队 | 导航查看置顶 武汉档案馆 | 频道导航🚩

👍518🥰4💯3🔥3🎉1👏1

21 Aug 2026, 11:45 UTC≈11,000 views100 reactionsread 29 August 2026
Photo

#武汉楼凤 梓萱 小只马 颜值粗看中上上,也属于好看,但感觉离上等又差了那么一丢丢,同样,人非死物,妹纸爱笑又耐看,还会主动贴贴摸摸,女人的好脸色是能加大分的,so 颜值上等! 身材顶级,匀称型瘦,穿衣脱衣都好看,内外兼修,单看胸不算特别大,但身材维度的美感,好比例比单纯的凸出更有质感,细枝硕果!粉,挺,大,还有一点敏感,相比胸的比例,屁股小了些些,有肉,也够用,后入时肩腰曲线非常非常漂亮。 肤色在线,肤质良好 性格小有趣,小情调,俗话说得好,明憨易躲,暗骚难防。,就是淡淡的撩,她轻舔一下,盯了几秒“哟!?有点东西啊”,老登害羞🙈〃∀〃 服务水平嫩妹一线梯队,不算大蟒蛇,但🐍的缠缠绵绵,感觉你自己不主动推进程的话能蛇到天荒地老的“错觉” 日感反馈,最好热个车,老师本身敏感度是可以的,不演,但有点小嘴硬,因为有美甲💅🏻,那强忍

👍4322🤔9👌8🔥6🎉5💯4👏3

17 Aug 2026, 13:03 UTC≈14,200 views290 reactionsread 28 August 2026

⚠️抽奖推介 兔耳 两个抽奖 @tuerertututu 一,档案馆积分抽半价 https://t.me/wuhan_qun/27460 二,订阅抽白嫖 22号开 https://t.me/wuhan_dangan/513 ——————————

👍2853👌1🙏1

12 Aug 2026, 16:23 UTC≈16,800 views191 reactionsread 27 August 2026
Video

#武汉楼凤 李知夏 👉🏻 联系方式 颜值中上,部分角度颜值上等,苹果肌饱满御姐态。 特殊印象: 猛瞅一眼像戴文青木《罪恶之城》角色形象,话少、脸圆润、武力爆表的东亚女杀手/忍者。 身材上等,1米68,不胖不瘦,精致型肉弹。B,细腰,屁股翘的非常打眼,想日。 肤色正常,肤质在线 体态上等,有过瑜伽履历,优雅,永不过时。 态度上等,配合度高,风情这一块还在学习和尝试释放本能的过程中。就是那种想,但是不怎么会的笨拙感。 日感上佳,反馈自然 少毛型馒头一线天,刮了,不扎,水多。 新下海御姐 在三亚做过短期兼职外围,学习心态非常不错,听话,配合度高,知情识趣方面差了一点圆润的火候,尚可! 所处消费层: 中高 以上 酌情参考 Ps. 图片均为配图与文案无关! —————————— 🛍商业广告区 武汉档案馆 | 其他资源查看置顶 MMC散人组队 | 频道导航🚩

👍7538🥰23🎉18💯18🔥18👌1

11 Aug 2026, 16:53 UTC≈18,700 views47 reactionsread 27 August 2026
Photo

#蹭热点 #无套 #意外 #人性 先划定前提:剥离法条,只站人性、道德、情理层面讨论 双方前提:交易属于自愿的成人色情交易,事前没有约定可以内射;发生意外内射后,女方主张需要服药、承担身体不适、后续生意暂停产生收入损失,要求6000元补偿。 一、对男方的客观评析(不洗白、不极端批判) 1. 风险预判存在疏忽。 双方是商业服务关系,默认带有安全措施的共识。意外内射,无论主动还是失手,客观上将生理风险转移给女方。药物副作用、心理焦虑、潜在健康隐患,实实在在由女方承担。从情理来说,他不能完全甩手,不能简单一句“意外而已”无视对方承受的代价。 2. 道德层面的短板:容易产生“花钱消费,出了事与我无关”的割裂心态。 很多嫖客会把交易理解成“一手交钱一手享受”,只认可服务内容,拒绝承担衍生风险。忽略一件事:肉体风险不会因为是交易就凭空消失。 3. 但同时:意外≠无限兜底。 若是单纯意外失误,不存在刻意违规、故意不做防护,不应当背负对

👍3413

Showing the 7 most recent of 7 posts we hold for @dongshishui. 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 — 884,074 of 1,626,884entries 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.

Forward network

Republished by

Channels on the register that have forwarded this channel's posts into their own feed.

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

“武汉东逝水的白名单” (@dongshishui), 26,625 subscribers as measured 29 August 2026. Telegram Register, tgregister.com/channel/dongshishui.

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.