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Channel

東方甄选 (杭州)

@dongfang_dairy

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

25,437subscribers

+3,009 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-1002103540448
TypeChannel
Username@dongfang_dairy
Description时不时更新老师,女仆等测评。偶尔发发福利,欢迎关注。 私聊: @dongfang00
CreatedBetween 1 November 2023 and 31 May 2024— estimated from Telegram’s id allocation, not measured. How this range is calculated.
First recorded7 August 2026
Last confirmed live17 August 2026
Measurements held10
Confirmed unchanged1 time, most recently 17 August 2026
On Telegramt.me/dongfang_dairy

Growth

22,42825,43723,932.57 August 2026 — 22,428 subscribers8 August 2026 — 22,489 subscribers9 August 2026 — 22,693 subscribers10 August 2026 — 22,903 subscribers11 August 2026 — 23,118 subscribers12 August 2026 — 23,364 subscribers13 August 2026 — 23,887 subscribers14 August 2026 — 24,405 subscribers16 August 2026 — 25,020 subscribers17 August 2026 — 25,437 subscribers7 August 202617 August 2026
10 measurements spanning 10 days, net +3,009. 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 21,977–25,888 and does not start at zero.
Measurement log — every subscribers count we have recorded
Measured (UTC)SubscribersChange
17 Aug 2026, 12:2525,437+417
16 Aug 2026, 01:5525,020+615
14 Aug 2026, 11:3824,405+518
13 Aug 2026, 03:4823,887+523
12 Aug 2026, 03:4423,364+246
11 Aug 2026, 04:4123,118+215
10 Aug 2026, 07:5622,903+210
9 Aug 2026, 07:1122,693+204
8 Aug 2026, 04:2522,489+61
7 Aug 2026, 22:0222,428first reading

Engagement

20 posts held, back to 22 June 2026the reader has not yet reached the start of this channel’s public history, so older posts may sit further back, unread. Read across 24 pagesof Telegram’s post history, 20 posts per page.

ERR · 30 days
23.0%
avg views ÷ 25,437 subscribers
Avg views / post
5,840
14 posts measured
Reaction rate
0.027%
reactions ÷ views · ER floor
Posts in window
14
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. It is computed over the 12 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 12 August 2026
Posts held20 (22 June 202612 August 2026)
Views total81,740
Reactions total18
Forwards / commentsnot exposed by the public surface — not measured, not estimated
Readings taken18 Aug 2026, 02:09 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
125
Videos
68
Links
64

Lifetime counters from Telegram’s own channel header, read 18 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
1m 23s
Average length
12s

Measured directly from 7 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

26 reactions across 14 posts, in 5 distinct kinds. The most used accounts for 80.8% of them.

Every reaction kind recorded on the sample, most used first
ReactionCountShareShare, drawn
2180.8%
👍27.69%
👏13.85%
🔥13.85%
😁13.85%

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 16 of the 20 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 26reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.

Measured over the 20 most recent posts we hold, published 22 June 2026 to 12 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

12 Aug 2026, 10:16 UTC≈2,510 views2 reactionsread 18 August 2026
Photo

#女仆 #高颜值 #甜妹 #标大 #纯爱党 #小也 麋鹿 客服: 老登 ————————————————— 颜值:大眼甜妹,人照9,真人比模卡更甜,尤其近距离对视很加分 身材:162 / 86斤 / C,瘦瘦小小但比例不错,且很饱满 吻技:小蟒蛇,喜欢慢慢试探,舌头会偷偷探过来 尺度:铁标大 氛围:E人,很会聊天,爱笑,相处轻松 情绪价值:不冷场,分享欲很强,害羞的时候特别可爱 服务:偏被动,需要稍微带一下节奏 缺点:两个被动的人容易互相等 ————————————————— 小也第一眼就是很标准的大眼甜妹。 真人和模卡大概九分像,不过我觉得本人要更甜一点,尤其是近距离说话、眼神对上的时候,那种甜妹感一下就出来了。 💭 氛围与互动 小也是个挺典型的E人,基本不需要什么破冰。 我随口跟她说了一句: “客服怎么就发了你一张照片,你这么神秘的吗?” 结果像是突然按到了什么开关,她瞬间开启话痨模式。 开始跟我解释自己明明给了客

2

10 Aug 2026, 04:13 UTC≈13,000 views1 reactionsread 18 August 2026

已去,报告编写中。。 1. Kitty岛-诺诺 2. miumiu-喵喵 3. 流星雨-小元 4. 诗诗 日常拖搞中,勿催

1

10 Aug 2026, 04:02 UTC≈7,190 viewsread 18 August 2026
Photo

🎟️ 抽奖标题:月光包养一周年纯福利活动 抽奖编号:TL178627868309 🎁 奖品内容: - 🧧 88(现金红包)*18 🪧 抽奖说明:达到条件的用户自动参与抽奖 额外提醒,现在加入会员群可以抽更多大奖福利甚至白嫖介绍费资格!!! ⚡️免介绍费x2(2个名额) 🧧1314x1(现金红包) 🧧520x1(现金红包) 🧧188x3(现金红包) 🧧88x5(现金红包) ⬆️会员群才能参与 🎫 参与条件: - 必须有用户名 - 从2026-08-10 00:00:00起发言数量不少于60 - 月票不少于60 - 加入频道:月光【全国包养】 - 加入群:月光包养交流群 ​🕒​ 开奖时间:2026-08-19 12:00自动开奖 🎰已参与人(2): 壹天天的 - 2026-08-10 00:41:57 禁欲(修身养性) - 2026-08-10 00:15:35

8 Aug 2026, 16:09 UTC≈1,900 views1 reactionsread 18 August 2026
Video

#女仆 #高颜值 #标大 #高挑 #粥粥 小花园 客服: 小客服 ————————————————— 颜值:人照8.5,妆后偏御姐,实际是嫩妹,真人和视频基本一致 身材:170,不到100斤,高挑瘦妹,胸偏小 尺度:纯标大,没有太多额外尺度 氛围:超级E人,完全不需要破冰 情绪价值:分享欲很强,自己会主动找话题 缺点:胸比较小,喜欢丰满型的可以绕道 ————————————————— 粥粥在我购物车里躺了挺久,这次总算找到时间去拔草。 真人和视频基本没什么区别,人照大概8.5分。第一眼是偏御姐的感觉,主要还是妆容加成,实际上是很嫩的妹妹。 170的身高,不到100斤,整个人高高瘦瘦的,属于很吃身高和比例的类型。胸确实偏小,但好在整体身材比较协调,喜欢高挑瘦妹的应该会很对胃口。 💭 氛围与互动 粥粥最大的优势,我觉得反而不是颜值。 是她真的太E了。 基本不存在什么破冰阶段,第一次见面也不需要你费劲找话题,她自己就能主

1

7 Aug 2026, 10:40 UTC≈1,870 views3 reactionsread 18 August 2026
Photo

小葵小课堂又开课啦! 刚结束长休回归,不到160cm的身高、大C身材、御姐脸,这几个看似完全不搭的元素,却偏偏完美融合在小葵身上。真人比想象更有反差,喜欢这类型的可以赶紧抢课。 ps:小提示床上很反差,会全身红温。有能力的哥们可以试试。 @nilinaoma

3

7 Aug 2026, 08:17 UTC≈1,960 views0 reactionsread 18 August 2026
Photo

🎰 秋天第一杯奶茶 🔑 抽奖口令: 群主滚出来请喝秋天第一杯奶茶呐 📮 抽奖条件: 🎫 加入-阳痿帮-杭州总部(女仆交流) 🎁 奖品内容: 18.88口令 × 2 📅 开奖日期:(UTC+8) 2026年08月07日 20时00分00秒

5 Aug 2026, 02:32 UTC≈5,130 views1 reactionsread 18 August 2026
Video

兄弟们,心尖尖复工了😘 长休快两个月,总算回来开课。颜值还是一如既往能打,迪丽热巴×范冰冰那种感觉,高挑、身材好、御姐脸。结果性格却是个傻大姐,反差感拉满。想约的建议早点排,谁知道这次会待多久。 @zhenlexi

1

4 Aug 2026, 11:32 UTC≈6,820 viewsread 18 August 2026

https://t.me/hzxbk_bot?start=i-JKLU73zgs4c5YzFk 想直接点的可以关注一下这个群

3 Aug 2026, 11:58 UTC≈5,810 views1 reactionsread 18 August 2026

8月购物车清单 🛒 搞个新的小企划试试看,以后每个月都整理一些推荐的或是想去的老师、女仆。 不一定会去,但会努力打卡。 这是第五期,希望不会随便断更。 ——— 🖤 女仆: —上城— 不晚-千千 懒羊羊-曲奇 四叶草-泡泡 —余杭— —西湖— 小花园-粥粥 ✅ 赫兹-温温 —滨江— —拱墅— Kitty岛-诺诺 ✅ 牛逗馆-timi miumiu-喵喵 ✅ —临平— 萌兔-安安 ——— 📚 老师:

1

28 Jul 2026, 11:05 UTC≈12,400 views2 reactionsread 18 August 2026
Video

主打少萝😀、御姐👍、真实在校学生等良家😀 介绍费首单7折(会员费抵扣后仅需4100😞 能享受快节奏的恋爱 各求所需 妹妹颜值普遍都很高价格实惠 双方一起体检还能无套😊 选妃频道:https://t.me/luolibyqg 交流群组:https://t.me/yueguangjiaoliu2 唯一客服: @xiaoyue334488 好兄弟的平价包养群 兄弟们有备无患 告别低三下四地四处求课 来试试锁车的滋味

2

25 Jul 2026, 15:51 UTC≈7,280 views0 reactionsread 18 August 2026
Photo

Telegram必备的搜索引擎,极搜JISOU帮你精准找到,想要的群组、频道、视频、音乐 👉 t.me/jisou2?start=a_5657442085

25 Jul 2026, 15:51 UTC≈3,800 views3 reactionsread 18 August 2026
Video

#女仆 #高颜值 #标大 #乖乖 客服:老登 ————————————————— 颜值:真人依旧比照片惊艳,挺鼻梁、瓜子脸,很耐看。 身材:瘦瘦小小一只,腰间没有一点赘肉,该有曲线的地方一点没少。 吻技:循序渐进,氛围感很强。 尺度:标大,不能下作。 情绪价值:很会聊天,和她相处很容易放松。 缺点:容易让人上头。 ————————————————— 距离上一次见乖乖已经过去很久了。 中间发生了一些事情,我们也很长一段时间没有联系。 本来以为那天之后不会再见了。 后来知道她重新回来当女仆,我还是决定去找她。 一方面是想和她好好叙叙旧,另一方面也想看看,那个曾经让我很喜欢的人,是不是还和记忆里一样。 事实证明,她还是那个乖乖。 💭 氛围与互动 刚到店里,我先去了趟厕所。 回来时总觉得哪里怪怪的,脑子里突然闪过一个念头:她该不会躲着准备吓我吧? 于是我故意放慢脚步,下一秒直接反客为主,把躲在墙后的她吓了一跳。 她整

👍21

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

Posts edited after publishing

@dongfang_dairy edited 2 posts after it first published — the same permalink now carries different wording than the one this register originally read, caught because our own crawl held a copy of the earlier text.

An edit is not deception. Typo fixes, price updates and corrections look exactly like this too — this register can tell you the wording changed and when, not why. How this is measured.

First edit seen
8 August 2026
Most recent edit
12 August 2026

Citation-graph rank

Citation-graph rank — 202,827 of 1,548,671entries 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

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

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

“東方甄选 (杭州)” (@dongfang_dairy), 25,437 subscribers as measured 17 August 2026. Telegram Register, tgregister.com/channel/dongfang_dairy.

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.