Channel

迅驰官方群

@xunchiguanfang

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

25,916subscribers

-3,478 since we began measuring on 8 August 2026

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

Register entry

Telegram ID	-1003709335744
Type	Channel
Username	@xunchiguanfang
Created	Between 1 February 2026 and 29 April 2026 — estimated from Telegram’s id allocation, not measured. How this range is calculated.
First recorded	8 August 2026
Last confirmed live	19 September 2026
Measurements held	32
Confirmed unchanged	1 time, most recently 19 September 2026
On Telegram	t.me/xunchiguanfang

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 71% 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

32 measurements spanning 42 days, net -3,478. 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 24,131–30,829 and does not start at zero.

Measurement log — every subscribers count we have recorded, most recent 20 of 32
Measured (UTC)	Subscribers	Change
19 Sept 2026, 09:38	25,916	+244
16 Sept 2026, 21:59	25,672	+168
15 Sept 2026, 01:19	25,504	+72
13 Sept 2026, 09:02	25,432	+5
11 Sept 2026, 10:37	25,427	+186
8 Sept 2026, 17:15	25,241	+189
5 Sept 2026, 08:00	25,052	+38
3 Sept 2026, 09:56	25,014	+19
2 Sept 2026, 03:39	24,995	-13
1 Sept 2026, 00:27	25,008	+25
30 Aug 2026, 20:26	24,983	+28
29 Aug 2026, 20:24	24,955	-32
28 Aug 2026, 20:56	24,987	+83
27 Aug 2026, 20:16	24,904	-3,374
26 Aug 2026, 16:57	28,278	-1,768
25 Aug 2026, 18:23	30,046	+97
24 Aug 2026, 17:44	29,949	+107
22 Aug 2026, 23:15	29,842	+159
21 Aug 2026, 10:34	29,683	-373
20 Aug 2026, 10:15	30,056	first reading

Engagement

14 posts held, back to 29 April 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 55 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 14 posts for this entry, the most recent from 21 July 2026. An engagement rate over an empty window would be a number about nothing.

Reaction mix

1,367 reactions across 14 posts, in 15 distinct kinds. The most used accounts for 31.2% of them.

Every reaction kind recorded on the sample, most used first
Reaction	Count	Share
❤	426	31.2%
💩	295	21.6%
👎	112	8.19%
🤮	99	7.24%
🥱	71	5.19%
😡	64	4.68%
🖕	60	4.39%
🍌	59	4.32%
🤬	59	4.32%
💔	54	3.95%
😈	47	3.44%
👍	12	0.878%
🙏	5	0.366%
👏	2	0.146%
🤡	2	0.146%

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 14 of the 14 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 1,367 reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.

Measured over the 14 most recent posts we hold, published 29 April 2026 to 21 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

21 Jul 2026, 09:41 UTC≈79,100 views277 reactionsread 3 September 2026

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30 Jun 2026, 17:31 UTC≈75,100 views101 reactionsread 3 September 2026

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27 Jun 2026, 12:32 UTC≈60,400 views62 reactionsread 3 September 2026

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15 Jun 2026, 09:27 UTC≈49,300 views693 reactionsread 3 September 2026

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13 Jun 2026, 14:14 UTC≈32,400 views50 reactionsread 3 September 2026

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12 Jun 2026, 07:13 UTC≈19,100 views22 reactionsread 3 September 2026

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10 Jun 2026, 14:27 UTC≈15,100 views16 reactionsread 3 September 2026

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9 Jun 2026, 15:31 UTC≈14,600 views10 reactionsread 3 September 2026

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8 Jun 2026, 08:42 UTC≈11,600 views13 reactionsread 3 September 2026

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7 Jun 2026, 09:14 UTC≈8,680 views11 reactionsread 3 September 2026

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6 Jun 2026, 09:05 UTC≈10,800 views12 reactionsread 3 September 2026

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5 Jun 2026, 09:59 UTC≈13,600 views11 reactionsread 3 September 2026

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Showing the 12 most recent of 14 posts we hold for @xunchiguanfang. 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.

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@xunchi033 · 291 post 迅驰2
@xunchi22 · 61 post

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 3 registered channels — 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.

不知名公益破解（三角洲无畏契约和平精英王者荣耀）
@DUOLEA66 · 35,8991 post 迅驰VPN03
@xunchi033 · 291 post 迅驰2
@xunchi22 · 61 post

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.

“迅驰官方群” (@xunchiguanfang), 25,916 subscribers as measured 19 September 2026. Telegram Register, tgregister.com/channel/xunchiguanfang.

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.