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Channel

奈奈的频道

@qiqifd

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

463subscribers

+208 since we began measuring on 28 August 2026

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

Register entry

Telegram ID-1004444705613
TypeChannel
Username@qiqifd
Created21 August 2026 — measured — dated from the channel’s first post
First recorded27 September 2026
Last confirmed live27 September 2026
Measurements held6
On Telegramt.me/qiqifd

Topic

Adult — 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 27 September 2026 and assigned it the closest of 31 fixed categories, at 86% 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

25546335928 August 2026 — 255 subscribers29 August 2026 — 264 subscribers5 September 2026 — 363 subscribers13 September 2026 — 433 subscribers26 September 2026 — 463 subscribers27 September 2026 — 463 subscribers28 August 202627 September 2026
6 measurements spanning 30 days, net +208. 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 224–494 and does not start at zero.
Measurement log — every subscribers count we have recorded
Measured (UTC)SubscribersChange
27 Sept 2026, 16:22463no change
26 Sept 2026, 08:20463+30
13 Sept 2026, 21:01433+70
5 Sept 2026, 09:38363+99
29 Aug 2026, 00:54264+9
28 Aug 2026, 15:30255first reading

Engagement

15 posts held, back to 21 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 1 page of Telegram’s post history, 20 posts per page.

ERR · 30 days
151.6%
avg views ÷ 463 subscribers
Avg views / post
702
5 posts measured
Reaction rate
0.154%
reactions ÷ views · ER floor
Posts in window
6
of 15 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 5 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 27 September 2026
Posts held15 (21 August 2026 – 27 September 2026)
Views total3,510
Reactions total5
Forwards / commentsnot exposed by the public surface — not measured, not estimated
Readings taken27 Sept 2026, 16:22 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.

What this channel posts

Photos
3
Videos
5
Links
1

Lifetime counters from Telegram’s own channel header, read 27 September 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
54s
Average length
11s

Measured directly from 5 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

19 reactions across 7 posts, in 2 distinct kinds. The most used accounts for 94.7% of them.

Every reaction kind recorded on the sample, most used first
ReactionCountShareShare, drawn
❤1894.7%
🔥15.26%

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 7 of the 15 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 19 reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.

Measured over the 15 most recent posts we hold, published 21 August 2026 to 27 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

7 Sept 2026, 04:14 UTC≈2,290 views4 reactionsread 27 September 2026

【群组】:西安品茗茶园春色 【时间】:2026-09-07 【老师】:奈奈 【留名】:匿名 【颜值身材】:9 【接待态度】:10 【服务技能】:9 【综合评分】:9.33【过程】:关注老师很久了,迫不及待约到老师。身材特别好,胸大,腰细,皮肤白,而且光滑,服务特别好,比之前去过的老师高几个档次,课表上有的都有,特别爽,强力推荐,喜欢服务型老师的闭眼冲

❤4

24 Aug 2026, 16:41 UTC≈3,970 views6 reactionsread 27 September 2026

❤️‍🔥 欲都工评 【时间】:2026-08-24 【老师】:奈奈 【留名】:哈哈哈哈 【人照】:9.2 【颜值】:9 【身材】:8.8 【服务】:9.5 【态度】:9.8 【环境】:8.5 【综合】:9.13 【过程】:欲都工兵出击 约好时间前往,地方好找。两室的,还有一个妹子在另一个房间,后面可能会换地方。 今天运气不好,空调遥控坏了,所以。很热。。。 人照一致,身材适中,没有照片那么瘦,纹身和照片一致,有🐻有屁股。 妹子态度很好,有陪洗,主动帮洗。有一次性浴巾,无一次性床单。 服务比其他嫩妹好点,主动舔🐻,口无齿感,还会主动舔蛋蛋。还会互动。嫩妹里算很好了。 做的过程反应真实,犹豫没有空调所以出一身汗。。 姿势配合,中途拉了个风扇进来,好一点。 挺满意的一次出击,后续应该会换地方。 嫩妹,有服务,有态度,值得体验。 【客观车评/主观车评】:主观 【是否为欲都独家车评】:是 😈Provided by : @XaYwd

❤6

Showing the 12 most recent of 15 posts we hold for @qiqifd. 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 27 September 2026 — this entry's latest reading, not the date you are reading this.

“奈奈的频道” (@qiqifd), 463 subscribers as measured 27 September 2026. Telegram Register, tgregister.com/channel/qiqifd.

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.