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Channel

祁祁的频道

@QTZ77777

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

1,123subscribers

+6 since we began measuring on 3 September 2026

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

Register entry

Telegram ID-1003777048731
TypeChannel
Username@QTZ77777
CreatedBetween 1 February 2026 and 8 June 2026 — estimated from Telegram’s id allocation, not measured. How this range is calculated.
First recorded3 September 2026
Last confirmed live18 September 2026
Measurements held5
Confirmed unchanged1 time, most recently 18 September 2026
On Telegramt.me/QTZ77777

Topic

Education — a classification, not a measurement. An on-box language model (Qwen3.6-35B-A3B-FP8, prompt version 1) read this channel’s own recent posts on 18 September 2026 and assigned it the closest of 31 fixed categories, at 69% confidence. This is a model’s judgement about what the channel is likely to be about, not a fact this register measured the way a subscriber count or a view count is measured — it can be revised on a later pass, and it carries no weight anywhere else on this page. How this classification works, and why it has no browse page of its own yet.

Growth

1,1171,1301,123.53 September 2026 — 1,117 subscribers5 September 2026 — 1,124 subscribers10 September 2026 — 1,126 subscribers14 September 2026 — 1,130 subscribers18 September 2026 — 1,123 subscribers1,1233 September 202618 September 2026
5 measurements spanning 15 days, net +6. 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 1,115–1,132 and does not start at zero.
Measurement log — every subscribers count we have recorded
Measured (UTC)SubscribersChange
18 Sept 2026, 13:191,123-7
14 Sept 2026, 01:401,130+4
10 Sept 2026, 14:561,126+2
5 Sept 2026, 05:591,124+7
3 Sept 2026, 11:221,117first reading

Engagement

20 posts held, back to 8 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 1 page of Telegram’s post history, 20 posts per page.

ERR · 30 days
38.4%
avg views ÷ 1,123 subscribers
Avg views / post
432
4 posts measured
Reaction rate
this channel exposes no reaction counts
Posts in window
4
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.

What these figures were computed from
WindowRolling 30 days · latest post in window 3 September 2026
Posts held20 (8 June 20263 September 2026)
Views total1,727
Reactions total
Forwards / commentsnot exposed by the public surface — not measured, not estimated
Readings taken3 Sept 2026, 11:22 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

9 reactions across 6 posts, in 1 kind.

Every reaction kind recorded on the sample, most used first
ReactionCountShareShare, drawn
9100.0%

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 8 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 9 reactions 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 8 June 2026 to 3 September 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

23 Aug 2026, 09:10 UTC710 views1 reactionsread 3 September 2026
Forwarded from @BPYXBG

杭州爆破严选认证报告模板 https://t.me/HZBPYXQ 【老师艺名】#祁祁 【老师 I D :】@qiqi666777 【出击时间】8月21日 【大概位置】拱墅区 【狼友账号】@Tsuiiiiiii 【开课价格】七折13pp 【老师类型】御姐 【大概年龄】 28左右 【客观评价】超级好评 各项满分为10分,软件.硬件各50 综合100分 硬件: 颜值 8.5分 身材 8.5分 胸型 9分 户型 8.5分 水量紧度 9分 硬件评分:44.5 软件: 服务态度 9.5分 服务技巧 9分 屌感 9分 啪啪反馈 9分 突出技巧 8.5分 软件评分:45 综合评分:89.5 软件硬化工程施工过程: 抢到了爆破的7折券,约好时间出击,浴室老师帮洗的非常认真,水中萧很舒服,一口下去直接进入超勃状态,洗完擦干后上床开始A面服务,老师的大蟒蛇名不虚传,直接亲的我毫无还手之力,深喉也很舒服

1

11 Jul 2026, 08:28 UTC≈3,350 views0 reactionsread 3 September 2026

杭州一哥课堂 http://t.me/yigechat 【时间】:2026-07-11 【老师】:祁祁 【I D 】: @qiqi666777 【留名】:你很嚣张 【人照】:9 【颜值】:9 【身材】:9 【服务】:9 【态度】:9 【环境】:9 【综合】:9 【报告正文】 一直想出击祁祁,感觉身材很好,看了很多报告说是800档t0存在,而且长相很像我在英国的一个同学。终于有机会前往。 约了时间如期到达,见面第一眼果然颜值上乘,很像我同学。虽然是四川人,个子很高挑,有大妞的感觉但绝对不胖。 洗好上床。主动换战袍。其中细节不表,挑重点讲,口活真的好,舌头很会盘重点,好几下都要把我口叫出来。 做饭很主动,会主动邀约换姿势,要求在镜子前后入。最后在传教士体位下,一边抽插一边 亲中出货。 完事后付了钱,在穿衣服的时候,看着洗手间洗漱的祁祁的背影竟然又有想法了…真的是一个值得回味的老师。 震撼美味!

11 Jul 2026, 08:28 UTC≈2,330 views3 reactionsread 3 September 2026
Forwarded from @BPYXBG

杭州爆破严选认证报告模板 https://t.me/HZBPYXQ 【老师艺名】#祁祁 【老师 I D :】@qiqi666777 【出击时间】7月8日 【大概位置】石桥 【狼友账号】你很嚣张 【开课价格】8p 【老师类型】御姐 熟女 名媛 【大概年龄】 【客观评价】超级好评 各项满分为10分,软件.硬件各50 综合100分 硬件: 颜值 9分 身材 9分 胸型 9分 户型 8分 水量紧度 8.5分 硬件评分:43.5 软件: 服务态度 9分 服务技巧 9分 屌感 8.5分 啪啪反馈 8.5分 突出技巧 8.5分 软件评分:43.5 综合评分:87 软件硬化工程施工过程: 一直想出击祁祁,感觉身材很好,看了很多报告说是800档t0存在,而且长相很像我在英国的一个同学。终于有机会前往。 约了时间如期到达,见面第一眼果然颜值上乘,很像我同学。虽然是四川人,个子很高挑,有大妞的感觉但绝

3

11 Jul 2026, 08:28 UTC≈1,920 views1 reactionsread 3 September 2026
Forwarded from @BPYXBG

杭州爆破严选认证报告模板 https://t.me/HZBPYXQ 【老师艺名】#祁祁 【老师 I D :】@qiqi666777 【出击时间】7月8日 【大概位置】石桥 【狼友账号 xf 【开课价格】800p 【老师类型】御姐 【大概年龄】 【客观评价】好评 各项满分为10分,软件.硬件各50 综合100分 硬件: 颜值 8分 身材 8.5分 胸型 9分 户型 8分 水量紧度 8.5分 硬件评分:42分 软件: 服务态度 9.5分 服务技巧 9.5分 屌感 9分 啪啪反馈 9分 突出技巧 9分 软件评分:46分 综合评分:88分 软件硬化工程施工过程: 预约时间,然后cj,遥控开门。开门老师,人照8.5分,妆容精致,颜值耐看并且骚骚的,穿着制服,胸前两个大灯很是养眼,尤其皮肤偏白,喜欢。老师先坐在我腿上给我喂水喝,舌吻调情。后续帮我洗澡,全自动服务先打泡泡到冲洗。水中萧,从浅

1

10 Jul 2026, 06:38 UTC≈1,940 views1 reactionsread 3 September 2026
Forwarded from @BPYXBG

杭州爆破严选认证报告模板 https://t.me/HZBPYXQ 【老师艺名】#祁祁 【老师 I D :】@qiqi666777 【出击时间】7月9日 【大概位置】石桥 【狼友账号】@bbbboooo221 【开课价格】600p(群里卷优惠200) 【老师类型】熟女 【大概年龄】28 【客观评价】好评 各项满分为10分,软件.硬件各50 综合100分 硬件: 颜值 8分 身材 9分 胸型 9分 户型 8分 水量紧度 9分 硬件评分:43分 软件: 服务态度 10分 服务技巧 10 分 屌感 9分 啪啪反馈 9分 突出技巧 9分 软件评分:47分 综合评分:90分 软件硬化工程施工过程: 第二次出击祁祁老师了,在群里发现有老师的优惠券直接兑换了。预约时间,然后cj,遥控开门。开门老师还是那个熟悉的面孔,人照8.5分,妆容精致,颜值耐看并且骚骚的,穿着制服,胸前两个大灯很是养眼,手

1

Showing the 12 most recent of 20 posts we hold for @QTZ77777. 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.

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.

Names

Channels on the register whose handles appear in this channel's posts.

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 18 September 2026 — this entry's latest reading, not the date you are reading this.

“祁祁的频道” (@QTZ77777), 1,123 subscribers as measured 18 September 2026. Telegram Register, tgregister.com/channel/QTZ77777.

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.