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Channel

宁波喝茶交友

@euronews7

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

66,564subscribers

+6,937 since we began measuring on 7 August 2026

Risers and fallers across the register · movement among entries of 31,623–100,000.

Register entry

Telegram ID-1002861808158
TypeChannel
Username@euronews7
Description【修车老总】 @xiaoji888bot 【修车频道】 https://t.me/euronews7 【修车老群】https://t.me/NB8888879 【全国修车】 @langtianxia 【公用防雷】https://t.me/bikan888
CreatedBetween 1 June 2025 and 31 August 2025 — estimated from Telegram’s id allocation, not measured. How this range is calculated.
First recorded7 August 2026
Last confirmed live4 October 2026
Measurements held37
Confirmed unchanged1 time, most recently 4 October 2026
On Telegramt.me/euronews7

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 9 September 2026 and assigned it the closest of 31 fixed categories, at 38% 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

59,62766,56463,095.57 August 2026 — 59,627 subscribers7 August 2026 — 59,627 subscribers8 August 2026 — 59,839 subscribers8 August 2026 — 60,038 subscribers9 August 2026 — 60,056 subscribers10 August 2026 — 60,303 subscribers11 August 2026 — 60,499 subscribers12 August 2026 — 60,595 subscribers13 August 2026 — 60,903 subscribers15 August 2026 — 61,239 subscribers16 August 2026 — 61,443 subscribers17 August 2026 — 61,687 subscribers18 August 2026 — 61,904 subscribers19 August 2026 — 62,046 subscribers20 August 2026 — 62,463 subscribers21 August 2026 — 62,499 subscribers23 August 2026 — 62,745 subscribers24 August 2026 — 63,037 subscribers25 August 2026 — 63,113 subscribers26 August 2026 — 63,473 subscribers27 August 2026 — 63,622 subscribers28 August 2026 — 63,767 subscribers29 August 2026 — 63,691 subscribers30 August 2026 — 63,774 subscribers31 August 2026 — 63,984 subscribers1 September 2026 — 63,998 subscribers2 September 2026 — 63,973 subscribers4 September 2026 — 63,884 subscribers6 September 2026 — 64,096 subscribers9 September 2026 — 64,243 subscribers12 September 2026 — 64,348 subscribers13 September 2026 — 63,953 subscribers15 September 2026 — 63,922 subscribers17 September 2026 — 63,809 subscribers19 September 2026 — 63,988 subscribers26 September 2026 — 64,760 subscribers4 October 2026 — 66,564 subscribers7 August 20264 October 2026
37 measurements spanning 58 days, net +6,937. 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 58,586–67,605 and does not start at zero.
Measurement log — every subscribers count we have recorded, most recent 20 of 37
Measured (UTC)SubscribersChange
4 Oct 2026, 17:3866,564+1,804
26 Sept 2026, 17:5564,760+772
19 Sept 2026, 17:1463,988+179
17 Sept 2026, 07:4163,809-113
15 Sept 2026, 09:3863,922-31
13 Sept 2026, 18:5563,953-395
12 Sept 2026, 03:3764,348+105
9 Sept 2026, 19:5664,243+147
6 Sept 2026, 09:0064,096+212
4 Sept 2026, 01:3763,884-89
2 Sept 2026, 18:0963,973-25
1 Sept 2026, 17:5863,998+14
31 Aug 2026, 19:1863,984+210
30 Aug 2026, 20:1963,774+83
29 Aug 2026, 23:4963,691-76
28 Aug 2026, 22:5463,767+145
27 Aug 2026, 20:2863,622+149
26 Aug 2026, 19:3963,473+360
25 Aug 2026, 20:3663,113+76
24 Aug 2026, 20:3463,037first reading

Engagement

40 posts held, back to 31 July 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 137 pages of Telegram’s post history, 20 posts per page.

ERR · 30 days
3.84%
avg views ÷ 66,564 subscribers
Avg views / post
2,560
24 posts measured
Reaction rate
0.043%
reactions ÷ views · ER floor
Posts in window
24
of 40 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 16 of 24 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 8 October 2026
Posts held40 (31 July 2026 – 8 October 2026)
Views total61,346
Reactions total22
Forwards / commentsnot exposed by the public surface — not measured, not estimated
Readings taken8 Oct 2026, 10:03 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
548
Videos
130
Links
52

Lifetime counters from Telegram’s own channel header, read 8 October 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
2m 54s
Average length
9s

Measured directly from 19 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

42 reactions across 22 posts, in 3 distinct kinds. The most used accounts for 92.9% of them.

Every reaction kind recorded on the sample, most used first
ReactionCountShareShare, drawn
❤3992.9%
🔥24.76%
😁12.38%

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 27 of the 40 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 42 reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.

Measured over the 40 most recent posts we hold, published 31 July 2026 to 8 October 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

8 Oct 2026, 08:18 UTC282 viewsread 8 October 2026
Photo

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8 Oct 2026, 08:07 UTC291 viewsread 8 October 2026
Photo

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8 Oct 2026, 05:14 UTC311 viewsread 8 October 2026
Forwarded from @www5118Video

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8 Oct 2026, 05:03 UTC317 viewsread 8 October 2026
Video

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7 Oct 2026, 14:14 UTC523 viewsread 8 October 2026
Photo

圈界NO.1 🟡昵称:欣 欣 🕐地区:#鄞州区 🤖双向: 🚀电报:@niuniujhj 🔔频道: 点击浏览频道👀 🔴水费:📤课表查看图📤 🔴标签 #已验证上榜 🔰【格语 】 睫毛轻垂的模样安静美好,柔和的阴影落在眼睑,细碎的氛围感萦绕周身,安静的瞬间美得扣人心弦。 🔰#点击下方查看详情⬇️

7 Oct 2026, 09:18 UTC642 views0 reactionsread 8 October 2026
Photo

📣📣📣主营宁波📣📣📣 [大圈] 9️⃣8️⃣ [中圈] [小圈] 9️⃣5️⃣ [上门] 小圈:6p-10p服务:洗推口吹做35分钟🕰 中圈20-25pp高端莞式:👙鸳鸯 浴 🐍吻🌸SM 角色扮演 💖絲襪 :制服 吹箫 口爆 深喉 三通6️⃣9️⃣毒🐉 口爆 🥰🥰😍👉90分钟两💦👈 大圈外围:25p60分钟:可上门可代开:资料频道每天会更新: 慈溪余姚频道 频道点击浏览👀 鄞州海曙小圈 频道点击浏览👀 中大圈频道 频道点击浏览👀 客服联系: @nmc66: 双向联系: @jrg899bot 点击👆👆查看👆👆全区资料 (见面合适付)

5 Oct 2026, 09:27 UTC≈1,350 viewsread 8 October 2026
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3 Oct 2026, 11:54 UTC≈1,550 views2 reactionsread 7 October 2026
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❤2

2 Oct 2026, 03:52 UTC≈2,010 views1 reactionsread 7 October 2026
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😁1

29 Sept 2026, 08:17 UTC≈3,890 views3 reactionsread 7 October 2026
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❤3

27 Sept 2026, 11:21 UTC≈3,720 views1 reactionsread 4 October 2026
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❤1

26 Sept 2026, 13:36 UTC≈3,840 views1 reactionsread 4 October 2026
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❤1

Showing the 12 most recent of 40 posts we hold for @euronews7. 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 4 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.

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 4 October 2026 — this entry's latest reading, not the date you are reading this.

“宁波喝茶交友” (@euronews7), 66,564 subscribers as measured 4 October 2026. Telegram Register, tgregister.com/channel/euronews7.

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.