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Channel

瑶瑶的频道

@yaoyaopdq

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

89subscribers

+64 since we began measuring on 19 October 2026

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

Register entry

Telegram ID-1003992707697
TypeChannel
Username@yaoyaopdq
CreatedBetween 1 April 2026 and 31 August 2026 — estimated from Telegram’s id allocation, not measured. How this range is calculated.
First recorded19 October 2026
Last confirmed live19 October 2026
Measurements held3
Confirmed unchanged1 time, most recently 19 October 2026
On Telegramt.me/yaoyaopdq

Growth

25895719 Oct 2026, 07:47 — 25 subscribers19 Oct 2026, 08:22 — 25 subscribers19 Oct 2026, 20:00 — 89 subscribers19 Oct 2026, 07:4719 Oct 2026, 20:00
3 measurements taken within a single day, net +64. 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 15–99 and does not start at zero.
Measurement log — every subscribers count we have recorded
Measured (UTC)SubscribersChange
19 Oct 2026, 20:0089+64
19 Oct 2026, 08:2225no change
19 Oct 2026, 07:4725first reading

Engagement

12 posts held, back to 18 October 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 page of Telegram’s post history, 20 posts per page.

ERR · 30 days
100.1%
avg views ÷ 89 subscribers
Avg views / post
89.1
12 posts measured
Reaction rate
0.962%
reactions ÷ views · ER floor
Posts in window
12
of 12 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 12 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 19 October 2026
Posts held12 (18 October 2026 – 19 October 2026)
Views total1,069
Reactions total1
Forwards / commentsnot exposed by the public surface — not measured, not estimated
Readings taken19 Oct 2026, 08:22 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.

Reaction mix

1 reaction across 1 post, in 1 kind.

Every reaction kind recorded on the sample, most used first
ReactionCountShareShare, drawn
❤1100.0%

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 1 of the 12 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 1 reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.

Measured over the 12 most recent posts we hold, published 18 October 2026 to 19 October 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

19 Oct 2026, 06:47 UTC43 viewsread 19 October 2026
Photo

🎰 瑶瑶老师给大家送福利了~ 📮 参与条件: 🌏️ 归属地 四川 🪪 必须设置用户名 🎫 加入-成都【老师】公开榜 🎫 加入-成都琪琪修车大队(聊天群) └ 🎟️ 发言数大于 5 条 🎫 加入-瑶瑶的频道 🎁 奖品内容: 💰️ 口令红包20 × 3 💰️ 琪琪修车群积分888 × 3 💰️ 瑶瑶老师通用优惠卷100 × 5 💰️ 瑶瑶老师通用优惠卷200 × 5 ⚠️ 抽奖说明: 注:1领奖有效期3天,优惠卷有效期3天,过期作废! 2.优惠卷不可折现,不可转让,属约课抵现! 3..炸号中奖作废回收! 4.中奖出击后需要提供真实报告给与群里发布,供后面群友出击参考! 中奖联系 @chiechie88888 🔋 人品加成:⚡️× 9 规则 📅 开奖日期:(北京时间) 2026年10月26日 20时00分00秒

18 Oct 2026, 07:30 UTC110 viewsread 19 October 2026

【成都琪琪修车认证】 出击报告 基础信息 【妹子花名】:瑶瑶🉑美团🉑自带 【验证留名】:… 昆哥 【验证时间】:2026-10-17 【所在位置】:洞子口地铁站 【修车水费】:7p 硬件评价 【妹子年龄】:23 【身材皮肤】:身材巴适,皮肤紧致 【胸器信息】:B🐻 掌中宝 【鲍鱼信息】:外褐内粉,水多 【人照打分】:9 【颜值打分】:8.5 软件评价 【车间环境】:民宿,干净,整齐唯一就是床要响 【服务内容】:亲亲,抱抱,陪洗,水中潇,爱爱 综合评价 【推荐程度】:10 【个人发挥】:跟代哥提前联系好,位置很好找。上楼看看妹子很惊喜,没想到人照这么高,妹妹属于那种冷御美女。简单了解一下,妹妹给我展示了她的两套情趣服装非常加攻速,也可以自己带服装,妹妹配合度非常高。女友感非常非常强服务很到位,动作很温柔不敷衍。口的时候你想要什么姿势都可以,站着躺着都行,舌头非常软,舔蛋蛋爽翻天。爱爱配合…

18 Oct 2026, 07:30 UTC104 views1 reactionsread 19 October 2026

成都天府名流报告 【验证留名】:丧彪 【验证时间】:10/16 【妹子花名】:#瑶瑶 【妹子车牌】: @qwedfeqe 【所在位置】:北门 洞子口地铁口 【修车水费】:7/12 【身高身材】:160 【颜值相似】:9 【凶器罩杯】:B 【服务内容】:菜单都有 【机车行为】:无 【优点缺点】:无 【推荐程度】: 9分 【服务详情】: (自由发挥,描写上课过程及感受) 不愧是澳门回来的,态度没得说,素质极高,真正体会到了什么叫温柔乡。 颜值高,态度好,服务佳。 进门就是一张让人越看越喜欢的标准美人脸,关键是零科技,这个圈子,天然美女太难得了,一看就是从小到大都被男生围着追那种长相,长相在这个价位没有对手。 妹子有洁癖,帮洗澡时十分仔细,我给自己洗时没那么认真过,关键还有水中萧,看着这样美一个美人一边给我洗澡,一边慢慢蹲下给我口,心里真是爽到飞起了。 妹子皮肤又白又滑,头发也香香的,身体也香香的。重…

❤1

18 Oct 2026, 07:30 UTC48 viewsread 19 October 2026
Photo

成都师范大学修车 【标签】 #瑶瑶 #少女车 #sm #小只马 #口爆 #7p 人照8.5-9分,艺术照一眼本人,有点美白磨皮,身高160,匀称,🐻b,有腰臀比,稍敏感,正常肤色,屁股翘,大蟒蛇,后入体验很好,you臀浪。 服务:三件套+大蟒蛇+扣+口爆(未体验)。舌吻时舌头伸得挺出来的 优点:骚话多得一批,各种称呼各种感受描述。腰臀比好看。自述可以口爆。 缺点:床下就没啥话,挺反差的。服务少,真正的洗吹做,但是可以和妹儿调情。洗完澡就开始抹油?(已给妹儿说了) 总结:反差感很强的妹儿。床上表现比较亮眼。爱爱时甚至觉得我在服务她(无贬义) 性价比:8.1 优惠情况: 上牌前三天报告-1 联系老师:@qwedfeqe 双向联系: 开课地址:龙湖上城 老师售后投诉联系: @Bei_QiaoFeng 狼友群:@cdshifandaxue #成都修车 #成都楼凤

18 Oct 2026, 07:30 UTC59 viewsread 19 October 2026

成都修车·男团女团验车报告 🏷️基础信息 【老师花名】: #瑶瑶 【老师车牌】: @mengdie1230 【验证留名】: 就当做恋爱滋味 【验证时间】:10.12 【修车水费】:700p 1200pp 【所在位置】:#成华区 #昭觉寺南路 【验证群聊】:@CDCnantuannvtuan 💯综合评价 【总体评价】:9 【人照评分】:9 【颜值评分】:9 【身材评分】:8.5 【服务评分】:10 【态度评分】:10 【环境评分】:10 评分标准:5及以下默认差评, 6分为合格(凑合但不推荐),7分为良品(考虑价格可以看一看),8分(值得价格并且建议体验),9分(实为该价位中少见的精品),10分(极品,这种真不存在。) 👙软硬配置 【标签类型】:#嫩妹 #成华区 #新人 #嫩妹车 #舌吻 #颜值车 #颜射 #69 #上门 #包夜 【老师年龄】:20 【身高身材】:身高160cm,88斤,B奶,无科技,仅手腕一…

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

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 19 October 2026 — this entry's latest reading, not the date you are reading this.

“瑶瑶的频道” (@yaoyaopdq), 89 subscribers as measured 19 October 2026. Telegram Register, tgregister.com/channel/yaoyaopdq.

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.