Telegram RegisterThe public register of Telegram

Channel

瑶瑶兼职 💋后花园💋

@fffqq12341

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

2,177subscribers

+438 since we began measuring on 6 August 2026

Risers and fallers across the register · movement among entries of 1,000–3,162.

Register entry

Telegram ID-1003357969304
TypeChannel
Username@fffqq12341
Created15 November 2025measured — dated from the channel’s first post
First recorded6 August 2026
Last confirmed live13 August 2026
Measurements held5
Confirmed unchanged1 time, most recently 13 August 2026
On Telegramt.me/fffqq12341

Growth

1,7392,1771,9586 August 2026 — 1,739 subscribers6 August 2026 — 1,739 subscribers7 August 2026 — 1,769 subscribers10 August 2026 — 1,922 subscribers13 August 2026 — 2,177 subscribers6 August 202613 August 2026
5 measurements spanning 7 days, net +438. 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 1,673–2,243 and does not start at zero.
Measurement log — every subscribers count we have recorded
Measured (UTC)SubscribersChange
13 Aug 2026, 17:452,177+255
10 Aug 2026, 09:521,922+153
7 Aug 2026, 14:201,769+30
6 Aug 2026, 20:151,739no change
6 Aug 2026, 20:061,739first reading

Engagement

19 posts held, back to 15 November 2025the reader has not yet reached the start of this channel’s public history, so older posts may sit further back, unread. Read across 2 pagesof Telegram’s post history, 20 posts per page.

ERR · 30 days
6.76%
avg views ÷ 2,177 subscribers
Avg views / post
147
14 posts measured
Reaction rate
0.212%
reactions ÷ views · ER floor
Posts in window
18
of 19 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 2 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 7 August 2026
Posts held19 (15 November 20257 August 2026)
Views total2,060
Reactions total1
Forwards / commentsnot exposed by the public surface — not measured, not estimated
Readings taken7 Aug 2026, 17:36 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
57s
Average length
19s

Measured directly from 3 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

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 2 of the 19 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 1reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.

Measured over the 19 most recent posts we hold, published 15 November 2025 to 7 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

7 Aug 2026, 16:18 UTC45 viewsread 7 August 2026
Photo

🎰 龙岗 瑶瑶酱 半价优惠劵 📮 参与条件: 🪪 必须设置用户名 🎫 加入-深圳车友会 └ 🔑 发送口令﹝欢迎 瑶瑶酱 入住车友会﹞ 🎫 加入-深圳车友会公开榜 🎫 加入-深圳车友会报告 🎫 加入-兼职 💋后花园💋 ❗ 口令提示: 请先参与抽奖,再发送口令激活 🎁 奖品内容: 💰️ P 半价 × 1 ⚠️ 抽奖说明: 1.兑奖联系对应奖品提供方 2.抽奖请先设置用户名 3.兑奖有效期7天,过期无效 4.因炸号、注销、超时等原因一律不兑奖 5.中奖后退出群组和频道,炸号,不予兑奖 6.该活动所有解释权归群管理所有 📅 开奖日期:(北京时间) 2026年08月11日 12时17分00秒

7 Aug 2026, 15:06 UTC80 viewsread 7 August 2026
Photo

🎰 龙岗瑶瑶酱女仆半价抽奖 📮 参与条件: 🪪 必须设置用户名 🎫 加入-女仆点评栏 🎫 加入-深圳女仆屋 └ 🎟️ 发言数大于 18 条 🎫 加入-女仆精选公开榜 🎫 加入-女仆轮播群 🎫 加入-兼职 💋后花园💋 🎁 奖品内容: 💰️ 单P半价券 × 1 ⚠️ 抽奖说明: 1.各位兄弟请遵守群规,严禁非正常断句,严禁刷屏,严禁复制粘贴,严禁无意义对话,严禁撤回消息,有以上行为者取消中奖资格,为创造良好的出击交流平台,请大家用心交流! 2.炸号者、退群者、注销账号者中奖无效! 3.活动最终解释权归本群管理团队所有! 🔋 人品加成:⚡️× 9 规则 📅 开奖日期:(北京时间) 2026年08月10日 16时00分00秒

7 Aug 2026, 13:32 UTC114 viewsread 7 August 2026
Forwarded from @SZPKQ888Photo

🔰点击加入⚡深圳皮卡丘 老师艺名:瑶瑶酱 开课地区:#龙岗 上课费用:600P 1200PP 🔰联系方式:@aaqqq999888 🤖双向联系:@waaii333bot 🔊 提交报告 | 报告合集 | 👨🏻‍💻唯一管理

7 Aug 2026, 11:27 UTC145 viewsread 7 August 2026
Forwarded from @npjxgkbPhoto

视频验证✅ 【艺名】: #瑶瑶酱 【地区】: #龙岗 【课费】: 600P 1000PP 【联系】: @aaqqq999888 【频道】: https://t.me/fffqq12341 【标签】: #嫩妹 #蛇纹 #六九 点评栏(点击查看老师评价) 福利群(进入查看更多福利)

7 Aug 2026, 10:24 UTC140 viewsread 7 August 2026

我已在深圳GG认证上榜 交流群:https://t.me/GGsm578 公开榜:https://t.me/Nkkhg1

7 Aug 2026, 06:29 UTC200 views0 reactionsread 7 August 2026

【少御报告】https://t.me/szSNQSThj 【老师艺名】瑶瑶酱 【联系方式】 #@aaqqq999888 【所在位置〉#龙岗 【验证留名】勇往直前 【验证时间】8.6 【修车费用】1200pp 【颜值身材】9.5 【服务内容】 陪洗 无套吹 做 【服务态度】很好 温柔 体贴 配合 【优点缺点】 很嫩 【推荐程度】10 【体验细节】在群里看到妹子颜值,立马吸引到我了 太清纯了,15分钟到果断过来了,到了敲门进去就很惊喜,妹妹人照9.9分像,声音温温柔柔,女友感很强。哈哈哈,遇到宝了,轻解罗裳,露出完美的柔软真胸,入手像牛奶一样的滑腻触感。不大不小,我喜欢的尺寸,舌尖轻挑老师的乳头,老师轻声的呻吟在我耳边响起,像是天籁之音。老师陪我冲好澡后,来到床上,口活无齿感,舌头非常灵活,口腔里非常温暖。口活可以给8.8分。迫不及待上套,女上位-传教士-后入姿势全部配合,叫声轻柔。花一般的年纪的年纪就是紧,最后在小pp的超

7 Aug 2026, 06:22 UTC184 viewsread 7 August 2026
Photo

🎰 龙岗 嫩妹 瑶瑶酱 @aaqqq999888 半价 📮 参与条件: 🎫 加入-兼职 💋后花园💋 🎫 加入-深圳野狼老师轮播 🎫 加入-野狼抽奖活动 🎫 加入-深圳野狼修车公开榜 🎫 加入-深圳野狼修车交流群 └ 🎟️ 发言数大于 30 条 🎁 奖品内容: 💰️ 1P半价 × 1 ⚠️ 抽奖说明: 1、开奖后 3 天内约课使用,老师大姨妈顺延; 2、需要提交报告,优惠券不得私下转让或出售; 3、上课时间需要和老师私聊提前约好; 4、不遵循抽奖说明将永久拉黑。 🔋 人品加成:⚡️× 5 规则 📅 开奖日期:(北京时间) 2026年08月10日 12时00分00秒

7 Aug 2026, 06:18 UTC140 viewsread 7 August 2026
Forwarded from @SZLXFPhoto

花名: #瑶瑶酱 位置: 深圳 #龙岗 年龄: 18 胸围: B 身高: 164 体重: 47kg 课费: 600P 1000PP #八百 特色: #嫩妹 #玉足 #女友感 #外出 #过夜 服务: #鸳鸯浴 #无套口 #舌吻 #六九 #胸推 #足交 #舔蛋 #丝袜制服 #按摩 私聊: @aaqqq999888 双向: @waaii333bot 频道: @fffqq12341 📤 提交报告 | 📋 查看报告(0)

6 Aug 2026, 13:18 UTC126 viewsread 6 August 2026
Photo

🎰 【骑士团☆瑶瑶酱 半价活动】 🎫 加入的前置频道: 🎫 加入 —— 深圳少女御姐骑士团 🎫 加入 —— 深圳少女御姐榜 🎫 加入 —— 深圳少女御姐甄选❤️ 🎫 加入 —— 深圳少女御姐预备榜 🎫 加入 —— 兼职 💋后花园💋 🎟️ 要求活动期间群内发言数 8 🎁 奖品内容: 半价p × 1 💡 活动说明: 数十张名师白嫖➕数万元奖金等你拿! 深圳骑士团开群福利🧧 👉🏻① 开奖时间起(7天内兑奖,过期作废) 👉🏻② 炸号中奖作废 (老师可以拒绝兑奖) 👉🏻③ 出击完7日内提供详细的报告提交: 「悟空」 @SZwukongbot 否则拉黑并通报。 👉🏻④ 禁止转让或买卖,否则拉黑名单挂榜。 📢为保证老师的利益,请老师兑奖严格按照机器人🤖推送的 开奖信息 跳转兑奖! 📅 开奖日期: (UTC + 8) 2026年08月10日 21时18分17秒 ⚡️ 加成说明: ⚡️ 加成消耗:5个少女币🏅 ⚡️

Showing the 12 most recent of 19 posts we hold for @fffqq12341. 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 — 94,917 of 1,336,469entries 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

Named by 22 registered channels — 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.

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.

“瑶瑶兼职 💋后花园💋” (@fffqq12341), 2,177 subscribers as measured 13 August 2026. Telegram Register, tgregister.com/channel/fffqq12341.

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.