Telegram RegisterThe public register of Telegram

Channel

梦绮❤️小家园

@mengqi96

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

1,418subscribers

+8 since we began measuring on 8 August 2026

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

Register entry

Telegram ID-1004444389560
TypeChannel
Username@mengqi96
CreatedBetween 1 June 2026 and 20 July 2026— estimated from Telegram’s id allocation, not measured. How this range is calculated.
First recorded8 August 2026
Last confirmed live15 August 2026
Measurements held4
Confirmed unchanged1 time, most recently 15 August 2026
On Telegramt.me/mengqi96

Growth

1,4101,4211,415.58 August 2026 — 1,410 subscribers8 August 2026 — 1,412 subscribers12 August 2026 — 1,421 subscribers15 August 2026 — 1,418 subscribers1,4188 August 202615 August 2026
4 measurements spanning 7 days, net +8. 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 1,408–1,423 and does not start at zero.
Measurement log — every subscribers count we have recorded
Measured (UTC)SubscribersChange
15 Aug 2026, 00:071,418-3
12 Aug 2026, 02:181,421+9
8 Aug 2026, 16:531,412+2
8 Aug 2026, 08:011,410first reading

Engagement

9 posts held, back to 20 July 2026the reader has not yet reached the start of this channel’s public history, so older posts may sit further back, unread. Read across 1 pageof Telegram’s post history, 20 posts per page.

ERR · 30 days
71.5%
avg views ÷ 1,418 subscribers
Avg views / post
1,010
9 posts measured
Reaction rate
0.158%
reactions ÷ views · ER floor
Posts in window
9
of 9 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 4 of 9 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 held9 (20 July 20267 August 2026)
Views total9,130
Reactions total6
Forwards / commentsnot exposed by the public surface — not measured, not estimated
Readings taken8 Aug 2026, 08:01 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

6 reactions across 4 posts, in 1 kind.

Every reaction kind recorded on the sample, most used first
ReactionCountShareShare, drawn
6100.0%

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 4 of the 9 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 6reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.

Measured over the 9 most recent posts we hold, published 20 July 2026 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, 07:25 UTC178 views1 reactionsread 8 August 2026

杭州半套馆测评模板:https://t.me/spa_union 【出击时间】: 8月7 【出击老师/商家】: 梦琦@mengqi996 【出击留名】: SoGo 【开课位置】:滨江区 【修车水费】:400 【人照评分】:9 【颜值评分】:9 【身材评分】:9 【服务评分】:10 【态度评分】:10 【环境评分】:9 【综合评分】:10 【服务点评】:服务很耐心 【过程描述】: 环境卫生:教室干净,都用一次性 初见印象:微笑接待 深入了解:骚的很 情绪价值:丝足,毒龙,🐻推,阴推 总体印象: 服务态度好性价比很好 流程细节:又是美美的一天、果断跟梦琦约好时间,心情美美出发。到了地方,店在大厦边上环境不错,而且好找。进店进房间,环境干净有氛围灯,上课就被老师精致御姐脸迷住,一袭包臀裙搭配,若隐若现的大奶,更是不虚此行,洗完澡搂抱问你 喜欢什么类型制服,那必须要黑色蕾丝情趣内衣,心急难耐躺下开始服务,先爬下按摩,手法不错很舒服,

1

30 Jul 2026, 03:21 UTC≈1,040 views3 reactionsread 8 August 2026
Forwarded from @quishangcheng

杭州秋雅总群:https://telegram.me/nanjinggeren66 🌳【客名】:懒人 📆【日期】: 7月29日 🧘‍♀【老师】: #梦琦 📮【联系】:@mengqi996 🏡【位置】:滨江区 💰【课费】: 400p 🌏【罩杯】:C+ 🧖‍♀【服务】:都有 📋【详情】:梦琦长的真好看,约了时间驱车前往,到达地方很好找,按老师指引上楼,开门看见了梦琦本人,跟频道一样好看,肤白貌美,胸挺大的。梦琦很热情,打完招呼,休息一下就拉我去洗澡。上床,先按摩放松,力度合适,之后指滑、舌头漫游,舔的我全身酥酥麻麻的,还有胸滑、毒🐲,每一项都有完成,不敷衍,服务的时候那小眼神、魂都给你勾走了、骚话不断、手法手到擒来、又骚又浪、特别投入。梦琦太会了,不多说,兄弟们自行体验。 【机车行为】: 无 【优点缺点】:会二刷 很好 【推荐程度】:⭐⭐⭐⭐⭐

3

29 Jul 2026, 08:22 UTC≈1,150 viewsread 8 August 2026

⭐️梦绮⭐️美美的来【杭州捕蛇🐍大队】当老师啦! 服务系日系调情,极致性价比的放松体验~ 🐍尽兴而为,情爱如此。敢爱敢行,及时尽兴🐍

29 Jul 2026, 08:02 UTC992 viewsread 8 August 2026

🐴杭州无内鬼报告模板2.0 【位置艺名】:梦琦 滨江区 【联系方式】:@mengqi996 【喝茶留名】:懒洋洋 【喝茶时间】:7月29日 【喝茶价格】:400 【芳龄身高】:28 【罩杯手感】:C 【服务内容】:课表上有的都有,应该还不止 【优点缺点】:优点:服务很棒。手法很专业;花样很多。缺点:无 【体验细节】:在群里看到梦琦老师,一看那样貌和身材,果断联系老师,「刚好今大 比较空闲,”驱车一小时出发去找梦琦 老师学习。与老师约好时间,老规矩导航上楼,开门一瞬间,一个小巧的 身材呈现在眼前,穿着性感短裙搭配这身材,瞬间眼前一亮,老师带进房间,主动拥抱,我说有点累,先休息一下,老师也不催促,反而主动让我坐在床上,给我按摩起来,聊天中才知道老师刚刚从别的地方来杭州,老师面对着我坐在大腿上心,给我头部按摩。这时哪里顾得上按摩,各自宽衣解带,看着老师一对挺不错的奶子,身材没得说,尤其是那对奶子,摸上去很绵柔。脸蛋也跟照片相差无二。,

25 Jul 2026, 05:51 UTC≈1,180 views1 reactionsread 8 August 2026

半岛嫩妹会报告模板: https://telegram.me/hangzhoubandao 【优势】 【不足】 【妹子花名】:梦绮 【联系方式】:@mengqi996 【妹子年龄】:27+ 【验证留名】:鹏 【验证时间】:7月25日 【大概位置】:滨江 【修车水费】:400p 【高端服务】:有的打✅ ① 舌吻 ② 69舔逼 ③ 情绪价值 ☑️ ④ 毒龙 ☑️ 【人照相似】:人照相似程度,颜值是否好看,气质/穿搭如何 【身高身材】:身高腿长,纹身大小,皮肤手感 【凶器罩杯】:胸型大小,乳头颜色/大小,整体手感 【湿度紧度】:比比户型颜色,湿度紧度,周围毛量 【环境细节】:交通/出入是否方便,房间是否整洁 【个人卫生】:是否抽烟,有无漱口水/牙刷/浴巾,事前事后有无清洗 【时间管理】:开课是否准时,排课是否宽松,课时是否做完 【服务点评】:服务是否到位,有无少做,过程有无机车 【推荐程度】:

1

Showing the 9 most recent of 9 posts we hold for @mengqi96. 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 — 1,286,049 of 1,350,102entries 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

Republishes

Channels on the register whose posts this channel has forwarded.

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

“梦绮❤️小家园” (@mengqi96), 1,418 subscribers as measured 15 August 2026. Telegram Register, tgregister.com/channel/mengqi96.

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.