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Channel

77的小窝

@qiqi98610927

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

14,400subscribers

+0 since we began measuring on 8 November 2026

Risers and fallers across the register · movement among entries of 10,000–31,623.

Register entry

Telegram ID-1002223984281
TypeChannel
Username@qiqi98610927
CreatedBetween 1 June 2024 and 30 September 2024 — estimated from Telegram’s id allocation, not measured. How this range is calculated.
First recorded8 November 2026
Last confirmed live8 November 2026
Measurements held2
On Telegramt.me/qiqi98610927

Growth

14,4008 Nov 2026, 14:48 — 14,400 subscribers8 Nov 2026, 15:22 — 14,400 subscribers8 Nov 2026, 14:488 Nov 2026, 15:22
2 measurements taken within a single day. 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 14,386–14,414 and does not start at zero.
Measurement log — every subscribers count we have recorded
Measured (UTC)SubscribersChange
8 Nov 2026, 15:2214,400no change
8 Nov 2026, 14:4814,400first reading

Engagement

18 posts held, back to 23 August 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 2 pages of Telegram’s post history, 20 posts per page.

ERR · 30 days
13.5%
avg views ÷ 14,400 subscribers
Avg views / post
1,950
1 post measured
Reaction rate
1.23%
reactions ÷ views · ER floor
Posts in window
1
of 18 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 8 November 2026
Posts held18 (23 August 2026 – 8 November 2026)
Views total1,950
Reactions total24
Forwards / commentsnot exposed by the public surface — not measured, not estimated
Readings taken9 Nov 2026, 03:23 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
23
Videos
42
Links
264

Lifetime counters from Telegram’s own channel header, read 9 November 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
6s
Average length
6s

Measured directly from 1 video 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

414 reactions across 18 posts, in 3 distinct kinds. The most used accounts for 70.8% of them.

Every reaction kind recorded on the sample, most used first
ReactionCountShareShare, drawn
😭29370.8%
❤9623.2%
👍256.04%

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 18 of the 18 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 414 reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.

Measured over the 18 most recent posts we hold, published 23 August 2026 to 8 November 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

Telegram’s own ‘edited’ marker: 1 of 1 post held from the last 30 days (100.0%) carried it when this register last read them. The marker says a post was changed after publishing, not what it said before — this register holds the earlier wording only where an edit fell between two of its own reads (see the edit ledger and how it is measured).

18 Sept 2026, 15:00 UTC≈16,800 views9 reactionsread 9 November 2026
Forwarded from @GZNMMTL

【嫩妹报告】https://telegram.me/GZNMHEJI 【老师艺名】77 【联系方式】@qiqi888871 【所在位置】黄埔 【验证留名】巴啦啦 【验证时间】9.16 【修车费用】p 【颜值身材】10 【服务内容】课表全都有 【服务态度】满分💯 【优点缺点】人美身材好温柔且耐心 【推荐程度】10 【体验细节】进门见到77的那一刻体会到了什么叫人间值得,看一眼是惊艳,看久了是沦陷。交了水费,进入洗澡。一边享受着77的帮洗一边看着那完美的身材,像是被光仔细勾勒过的一样,线条干净比例刚好。洗完迫不及待的躺床上等着,77缓缓的爬上了床,从上往下,每一个亲吻都像是春日第一缕破冰的暖阳,像品尝一颗熟透的果实,汁液里饱含着阳光、雨露和整个季节的芬芳,那甜蜜从味蕾直抵灵魂深处。 指尖轻轻掠过脊背的山峦。两具身体像两条河流在夜色中汇合,不分彼此地交融,呼吸呻吟交缠成一首无声的曲子,在皮肤与皮肤之间低低回荡。 ♥️温馨提示: 以上…

❤9

18 Sept 2026, 15:00 UTC≈12,700 views3 reactionsread 9 November 2026

【嫩妹报告】https://t.me/GZNMHEJI 【老师艺名】77 【联系方式】@qiqi888871 【所在位置】黄埔 【验证留名】xxxL 【验证时间】9月 【修车费用】1000包时 【颜值身材】绝了 【服务内容】课表上都有 【服务态度】极佳 【优点缺点】没什么缺点,确实极品 【推荐程度】1000分 【体验细节】是本人喜欢的嫰妹型颜值也长在我的审美上,非常完美,🐻又大又软。眼睛非常大。交完学费开始洗浴,上床开始口交,口技很好,口的时候差点没把持住,就直接带帽子,女上很熟练,水很多很紧,后转成传教士,看她的巨🐻一晃一晃的叫声悦耳动听,直接忍不住再换老汉推车🐍出来。看着她的眼睛很快就出货了,性格也很好。第二次也是口的时间够久,非常舒服。 ♥️温馨提示: 以上仅代表个人体验,报告仅供参考! 👎🏿府上专员严查假报告!写手代谢出门右转! 报告提交:@Chenyaoyao1_bot

❤3

18 Sept 2026, 15:00 UTC≈11,200 views4 reactionsread 9 November 2026
Forwarded from @GZNMMTL

【嫩妹报告】https://t.me/GZNMHEJI 【老师艺名】77 【联系方式】@qiqi888871 【所在位置】黄埔 【验证留名】冲冲冲 【验证时间】2026-9-16 【修车费用】7张 【颜值身材】鹅蛋脸,顶级身材,细枝硕果,皮肤白嫩滑 【服务内容】课表的都有的。 【服务态度】超级好 【优点缺点】 优点:身材好,服务好,态度好的三好老师。 缺点:比较难约🤣 【推荐程度】10 【体验细节】在水群早就听闻77老师大名,约了好久,终于约到了传说中的神女77,提前来到了指定地点按照老师指示上楼。开门一刹那,一枚身材火辣的美女映入眼帘,身穿紧身体恤和包臀裙,勾勒出完美的身材曲线。进入教室果断交了水费,然后宽衣去共浴,在卫生间,77老师的完美身材更加展露无遗,瞬间感觉这趟跑几十公里值了。77老师帮忙洗得很认真,白嫩纤细的小手在我身上来回游走,舒舒麻麻的感觉简直太棒了。洗完澡之后还有漱口水漱口。来到床上,先是和77老师蛇纹,那小嘴…

❤4

13 Sept 2026, 09:32 UTC≈12,700 views4 reactionsread 9 November 2026
Forwarded from @GZNMMTL

【嫩妹报告】https://t.me/GZNMHEJI 【老师艺名】77 【联系方式】@qiqi888871 【所在位置】黄埔 【验证留名】jed 【验证时间】9.8 【修车费用】700p 【颜值身材】绝了 【服务内容】课表上都有 【服务态度】极佳 【优点缺点】全是优点,缺点硬要说的话就是太难约了 【推荐程度】100昏 【体验细节】去年就看到77了,颜值太对我的胃口了。一直没机会找她。今年给她发了五六次消息都没约上,昨天看频道说有两个空位。没放弃又问了一遍,终于约到了。就是楼下停车太难了,转了半天。开门那一刻看到77的一刻觉得一切都值了。洗了个澡,看77咬我,没一会就硬邦邦了。时不时还会轻轻掐一下,我心想坏心思也不少。不得不提77脐橙我的时候,绝了,太紧了,脐橙的每一下也都很深入。情到浓时还一下吻过来。最后也是123了,一定要返!!! ♥️温馨提示: 以上仅代表个人体验,报告仅供参考! 👎🏿府上专员严查假报告!写手代谢出门右转…

❤4

13 Sept 2026, 09:32 UTC≈14,100 views5 reactionsread 9 November 2026
Forwarded from @GZNMMTL

【嫩妹报告】https://t.me/GZNMHEJI 【老师艺名】77 【联系方式】@qiqi888871 【所在位置】广州 【验证留名】LY 【验证时间】9.7 【修车费用】600P(优惠100) 【颜值身材】耐看型,细支硕果,身材特好 【服务内容】🐍 【服务态度】沉浸式 【优点缺点】难约,有点烟味 【推荐程度】SSS 【体验细节】77提前就开始问在哪,准时到楼下后,遥控上楼,没有门禁,没有罚站。第一眼觉得77长得很温柔,脱衣服的时候被🐻吸引了目光,很完美的胸型,比例很协调,手感特别好,皮肤光滑有弹性,就是想象中的身材照进现实,很梦幻。77的口活很好,无齿感,一直在尽可能深喉,而且口的时间很久,就是乐在其中,没有刻意服务的感觉。中间突然亲上来,嘴唇湿润且柔软,给我又上一层震撼。等弟弟变得十分坚硬,77就小心翼翼帮我戴套,一开始是女上,身体不断缠绵,拥抱蛇吻。接着换到传教士,77更加放开,双脚勾住我后背,不断向我索吻,让我抓🐻…

❤5

26 Aug 2026, 14:25 UTC≈14,900 views7 reactionsread 9 November 2026
Forwarded from @GZNMMTL

嫩妹报告】https://t.me/GZNMHEJI 【老师艺名】77 【联系方式】@qiqi888871 【所在位置】黄埔 【验证留名】莱昂 【验证时间】8月 【修车费用】1200pp 【颜值身材】,身材夯 【服务内容】xcz 🐍 【服务态度】nice 【优点缺点】优点:人照比高,身材夯 缺点:课室稍乱 难约 【推荐程度】满昏 【体验细节】作为一名熊控 七七早就在我的出击名单上了 可惜之前一直没约上,这次属于是偶然,之前一些报告上说她是i人 其实内心还是有点忐忑的,毕竟哥们纯纯社交孤儿 最是害怕冷场尴尬了 但出乎意料的 我们聊得挺开心的,俩个喜欢🐱的说到就停不下来了 好在是尾课pp时间比较充裕 而后就是期待已久瑟瑟环节 身材这块夯爆了,白皮细枝硕果,胸型又好看 很难不让人喜欢,口的很久 深喉舔蛋啥的都有,女上也很卖力,对镜的时候做到一半对视两人都会莫名其妙的笑 还会回顶 很有女友感,个人很喜欢 会返 报告提交:@C…

❤7

Showing the 12 most recent of 18 posts we hold for @qiqi98610927. 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 8 November 2026 — this entry's latest reading, not the date you are reading this.

“77的小窝” (@qiqi98610927), 14,400 subscribers as measured 8 November 2026. Telegram Register, tgregister.com/channel/qiqi98610927.

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.