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Telegram profile photo for 飞鸟社

Channel

飞鸟社

@feiniaoshe

On this record: Topic · Growth · Engagement · Reactions · Posts · Citations · Handles named that no longer answer · Cite this entry

15,587subscribers

-402 since we began measuring on 7 August 2026

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

Register entry

Telegram ID-1002307666246
TypeChannel
Username@feiniaoshe
Created18 March 2025measured — dated from the channel’s first post
First recorded7 August 2026
Last confirmed live19 September 2026
Measurements held34
Confirmed unchanged1 time, most recently 19 September 2026
On Telegramt.me/feiniaoshe

Topic

Other / unclassifiable — 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 10 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

15,58715,98915,7887 August 2026 — 15,989 subscribers7 August 2026 — 15,989 subscribers8 August 2026 — 15,983 subscribers9 August 2026 — 15,977 subscribers10 August 2026 — 15,969 subscribers11 August 2026 — 15,962 subscribers12 August 2026 — 15,947 subscribers13 August 2026 — 15,939 subscribers14 August 2026 — 15,921 subscribers16 August 2026 — 15,910 subscribers17 August 2026 — 15,897 subscribers18 August 2026 — 15,882 subscribers19 August 2026 — 15,880 subscribers20 August 2026 — 15,868 subscribers21 August 2026 — 15,859 subscribers22 August 2026 — 15,847 subscribers24 August 2026 — 15,826 subscribers25 August 2026 — 15,814 subscribers26 August 2026 — 15,804 subscribers27 August 2026 — 15,795 subscribers28 August 2026 — 15,782 subscribers29 August 2026 — 15,778 subscribers30 August 2026 — 15,761 subscribers31 August 2026 — 15,755 subscribers1 September 2026 — 15,749 subscribers2 September 2026 — 15,743 subscribers3 September 2026 — 15,729 subscribers6 September 2026 — 15,703 subscribers9 September 2026 — 15,667 subscribers11 September 2026 — 15,646 subscribers13 September 2026 — 15,636 subscribers14 September 2026 — 15,623 subscribers16 September 2026 — 15,605 subscribers19 September 2026 — 15,587 subscribers7 August 202619 September 2026
34 measurements spanning 43 days, net -402. 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 15,527–16,049 and does not start at zero.
Measurement log — every subscribers count we have recorded, most recent 20 of 34
Measured (UTC)SubscribersChange
19 Sept 2026, 06:4115,587-18
16 Sept 2026, 19:3815,605-18
14 Sept 2026, 23:2015,623-13
13 Sept 2026, 12:1815,636-10
11 Sept 2026, 19:0015,646-21
9 Sept 2026, 08:5515,667-36
6 Sept 2026, 01:1915,703-26
3 Sept 2026, 21:3515,729-14
2 Sept 2026, 12:4415,743-6
1 Sept 2026, 14:3515,749-6
31 Aug 2026, 17:1415,755-6
30 Aug 2026, 16:4715,761-17
29 Aug 2026, 15:2815,778-4
28 Aug 2026, 13:2515,782-13
27 Aug 2026, 14:5315,795-9
26 Aug 2026, 17:2315,804-10
25 Aug 2026, 16:5815,814-12
24 Aug 2026, 16:0315,826-21
22 Aug 2026, 21:0915,847-12
21 Aug 2026, 11:4515,859first reading

Engagement

7 posts held, back to 18 March 2025the reader has reached the start of this channel’s public history, so this is the full archive Telegram still exposes. Read across 52 pages of Telegram’s post history, 20 posts per page.

Nothing published in the last 30 days. ERR and ER are rolling 30-day measures, so there is nothing to compute — we hold 7 posts for this entry, the most recent from 14 July 2026. An engagement rate over an empty window would be a number about nothing.

Reaction mix

370 reactions across 6 posts, in 8 distinct kinds. The most used accounts for 61.1% of them.

Every reaction kind recorded on the sample, most used first
ReactionCountShareShare, drawn
22661.1%
😱7720.8%
👍318.38%
👎102.70%
😁102.70%
🥱82.16%
🥰51.35%
😢30.811%

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 6 of the 7 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 370 reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.

Measured over the 7 most recent posts we hold, published 18 March 2025 to 14 July 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

14 Jul 2026, 14:34 UTC≈11,400 views2 reactionsread 3 September 2026

真吐了 仓库也被封了。。。。 进新的频道吗 @seqingtvb

2

17 Jun 2026, 00:34 UTC≈18,400 views6 reactionsread 3 September 2026

@luyiguanba 主频道暂时无法更新,大家移步新频道, @seqingATV

6

15 Jul 2025, 23:38 UTC≈83,300 views90 reactionsread 3 September 2026

中文字幕频道已经连续被封了三次了,已经快被封傻了!!! 之前的中文备份都丢去海角内部群了,包括大家喜欢的捷克街头系列,fc2无码系列,探花系列,全部都给翻译成了中文。喜欢中文字幕的可以加内部群吧,这个频道也不知道什么时候被封了。只需一包烟的价钱意思一下就行了 内部备份群点这里 防封频道: @feiniaoshe 搜索群: @jisou7531 海角社区: @hjdyxc

75😁10🥰5

27 Jun 2025, 17:24 UTC≈85,500 views118 reactionsread 3 September 2026

https://t.me/luyiguanba 重制版

101👍17

24 Jun 2025, 03:59 UTC≈84,500 views94 reactionsread 3 September 2026

😂聊天群也被封了

😱6031😢3

8 Jun 2025, 09:13 UTC≈84,300 views60 reactionsread 3 September 2026

频道又被封了,号没了 @chunfengzz 这个频道没管理权限了 所以换了一个防丢失频道 过两天再重新开吧,喜欢这类型的兄弟可以花个15快钱先去海角社区内部群 到时候会把中文字幕的视频全备份进去,需要翻译的也可以说一声 素材直接发内部群 @hjdyxc

😱17👍1411👎10🥱8

Showing the 7 most recent of 7 posts we hold for @feiniaoshe. 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

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

“飞鸟社” (@feiniaoshe), 15,587 subscribers as measured 19 September 2026. Telegram Register, tgregister.com/channel/feiniaoshe.

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.