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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 |
|---|---|
| Type | Channel |
| 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 |
| Created | Between 1 June 2025 and 31 August 2025 — estimated from Telegram’s id allocation, not measured. How this range is calculated. |
| First recorded | 7 August 2026 |
| Last confirmed live | 4 October 2026 |
| Measurements held | 37 |
| Confirmed unchanged | 1 time, most recently 4 October 2026 |
| On Telegram | t.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
| Measured (UTC) | Subscribers | Change |
|---|---|---|
| 4 Oct 2026, 17:38 | 66,564 | +1,804 |
| 26 Sept 2026, 17:55 | 64,760 | +772 |
| 19 Sept 2026, 17:14 | 63,988 | +179 |
| 17 Sept 2026, 07:41 | 63,809 | -113 |
| 15 Sept 2026, 09:38 | 63,922 | -31 |
| 13 Sept 2026, 18:55 | 63,953 | -395 |
| 12 Sept 2026, 03:37 | 64,348 | +105 |
| 9 Sept 2026, 19:56 | 64,243 | +147 |
| 6 Sept 2026, 09:00 | 64,096 | +212 |
| 4 Sept 2026, 01:37 | 63,884 | -89 |
| 2 Sept 2026, 18:09 | 63,973 | -25 |
| 1 Sept 2026, 17:58 | 63,998 | +14 |
| 31 Aug 2026, 19:18 | 63,984 | +210 |
| 30 Aug 2026, 20:19 | 63,774 | +83 |
| 29 Aug 2026, 23:49 | 63,691 | -76 |
| 28 Aug 2026, 22:54 | 63,767 | +145 |
| 27 Aug 2026, 20:28 | 63,622 | +149 |
| 26 Aug 2026, 19:39 | 63,473 | +360 |
| 25 Aug 2026, 20:36 | 63,113 | +76 |
| 24 Aug 2026, 20:34 | 63,037 | first 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.
| Window | Rolling 30 days · latest post in window 8 October 2026 |
|---|---|
| Posts held | 40 (31 July 2026 – 8 October 2026) |
| Views total | 61,346 |
| Reactions total | 22 |
| Forwards / comments | not exposed by the public surface — not measured, not estimated |
| Readings taken | 8 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.
| Reaction | Count | Share | Share, drawn |
|---|---|---|---|
| ❤ | 39 | 92.9% | |
| 🔥 | 2 | 4.76% | |
| 😁 | 1 | 2.38% |
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
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❤2
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😁1
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❤3
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❤1
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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.
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.
@jisou2 · 1,856,77411 posts宁波高端养身94spa会所
@www5118 · 504 posts全国亚洲抽奖总部
@cuivd · 56,6763 posts宁波中大圈资源
@nbzdqzy88 · 6273 posts宁波👙佳人阁👙👀
@ningmengcha66 · 3,3233 posts宁波羊羊不洋
@yang1583464 · 3,2793 posts余姚慈溪杭州湾
@ychzw66 · 6453 posts宁波高端SPA(小鱼)点评
@nb499spa · 1,1002 posts宁波修车极品
@NB8888879 · 72,0322 posts小北的朋友圈
@xb00520 · 2462 posts全国林妹大圈⭕️
@yewuzuvip · 11,6192 posts宁波海曙火车站高端(4T)SPA-小辉
@chenghuangspa · 411 post柠檬 鄞州区自聊
@HHLHY7788 · 7941 post宁波鄞州范迪高端局4推spa(找小辉)
@huihuispa · 551 post宁波江北来福士高端(4T)SPA-小辉
@jiangbeigaoduaospa · 41 post🔥宁波镇海口爆🔥
@koubao16888 · 121 post宁波品茶会【唯一老群】
@pch9988 · 41,3321 post宁波高端局(4T)spa-小辉(技师照片)
@spa1234xiaohui · 6661 post499/599/699(中端2T/3T./4T SPA)-鄞州万达/范迪/海曙/江北
@spaxiaohui599 · 1621 postxinxin
@xinhjk · 371 post宁波老师榜单
@XZF_NBBD · 40,7651 post怡宝🌙 面付 无订 无压🌹
@yibaojianzhi · 151 post玥玥
@yueyueaaoo · 5041 post🌹花花私密小花园(慈溪市)🌹
@zgshtt888 · 1,2481 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 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.