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Channel

宁波喝茶交友

@euronews7

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

61,904subscribers

+2,277 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 30 September 2025— estimated from Telegram’s id allocation, not measured. How this range is calculated.
First recorded7 August 2026
Last confirmed live18 August 2026
Measurements held13
Confirmed unchanged1 time, most recently 18 August 2026
On Telegramt.me/euronews7

Growth

59,62761,90460,765.57 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 subscribers7 August 202618 August 2026
13 measurements spanning 11 days, net +2,277. 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 59,285–62,246 and does not start at zero.
Measurement log — every subscribers count we have recorded
Measured (UTC)SubscribersChange
18 Aug 2026, 15:0961,904+217
17 Aug 2026, 16:5461,687+244
16 Aug 2026, 14:1561,443+204
15 Aug 2026, 00:2261,239+336
13 Aug 2026, 17:1660,903+308
12 Aug 2026, 16:0660,595+96
11 Aug 2026, 18:4460,499+196
10 Aug 2026, 21:3460,303+247
9 Aug 2026, 22:2160,056+18
8 Aug 2026, 21:5760,038+199
8 Aug 2026, 00:5859,839+212
7 Aug 2026, 09:3059,627no change
7 Aug 2026, 09:2259,627first reading

Engagement

8 posts held, back to 31 July 2026the reader has not yet reached the start of this channel’s public history, so older posts may sit further back, unread. Read across 29 pagesof Telegram’s post history, 20 posts per page.

ERR · 30 days
8.12%
avg views ÷ 61,904 subscribers
Avg views / post
5,030
8 posts measured
Reaction rate
0.04%
reactions ÷ views · ER floor
Posts in window
8
of 8 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 3 of 8 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 17 August 2026
Posts held8 (31 July 202617 August 2026)
Views total40,219
Reactions total9
Forwards / commentsnot exposed by the public surface — not measured, not estimated
Readings taken19 Aug 2026, 00:27 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
455
Videos
105
Links
48

Lifetime counters from Telegram’s own channel header, read 19 August 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
25s
Average length
8s

Measured directly from 3 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

9 reactions across 3 posts, in 1 kind.

Every reaction kind recorded on the sample, most used first
ReactionCountShareShare, drawn
9100.0%

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 3 of the 8 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 9reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.

Measured over the 8 most recent posts we hold, published 31 July 2026 to 17 August 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

17 Aug 2026, 17:00 UTC49 viewsread 18 August 2026
Photo

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17 Aug 2026, 06:27 UTC≈1,440 viewsread 19 August 2026
Photo

全国林妹高端外围【大⭕️】 #定金预约 本群可担保 💎专注各市区修车 🈶洋马,空姐,少妇,萝莉, 御姐等高素质高颜值🉑上门 🈶教室 ✡️奢华的环境、全套服务、至尊享受、帝王体验 ♏️联系客服情妹: @lingmei888168 ♏️双向客服林妹: @wai998bot ♒️总频道: https://t.me/yewuzuvip #本群推荐信誉客服

8 Aug 2026, 13:27 UTC≈6,160 views5 reactionsread 19 August 2026
Photo

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5

6 Aug 2026, 11:15 UTC≈6,410 viewsread 19 August 2026
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#潘姐高端极品【大⭕️】 #诚信客服 已验证 #定金预约 群管已担保 💎专注特区一线城市修车,纯一手资源 只有你想不到的,没有我没有的。 ✡️奢华的环境、全套一条龙服务、至尊享受、帝王体验 ♒️总频道: @hnanjingjujidi ♏️客服潘姐: @panjie888168bot

5 Aug 2026, 06:48 UTC≈6,780 viewsread 19 August 2026
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📣📣📣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 https://t.me/ychzw66 鄞州海曙小圈 https://t.me/ningmengcha66 中大圈频道https://t.me/nbzdqzy88 客服联系: @nmc66: 双向联系: @yhy139bot 点击👆👆查看👆👆全区资料 (见面合适付)

1 Aug 2026, 10:06 UTC≈8,290 views1 reactionsread 19 August 2026
Photo

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1

1 Aug 2026, 05:46 UTC≈7,910 views3 reactionsread 19 August 2026
Photo

💃艺名:白桃🍑 🏠位置:鄞州 ⚙️硬件 :19岁 168cm 45kg 🐻C 💰课程费用:800p 45min 1500pp70min 🌈简介:鸳鸯🛁 高跟👠 智服 粿吹 🐍吻 各种资势 调晴 😀🚑🚒🚐🛻:@batao90877 🤖双向机器人: @baitaopp7866bot 频道 https://t.me/baitao35268 🔴水费:📤课表查看图📤 🔴标签 #可放心出击 #已验证 #车费定金狼友自己随意不超过100 #老师狼友请看下方评论区⬇️

3

31 Jul 2026, 12:10 UTC≈3,180 viewsread 8 August 2026
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Showing the 8 most recent of 8 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.

Citation-graph rank

Citation-graph rank — 1,544,321 of 1,550,220entries in the measured graph. A weighted position computed from the forward and mention edges below — republished posts weigh more than named mentions — and recomputed periodically, over the whole graph. Published only as this ordinal position, never as a score: a position is a fact, and a score printed beside one channel’s name would read as a verdict this register does not make. The two counts beneath stay separate for the same reason mentions are never summed with forwards anywhere else on this page — a named-by count costs nothing to manufacture. The top 100 by this measure, or how it is computed.

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 18 August 2026 — this entry's latest reading, not the date you are reading this.

“宁波喝茶交友” (@euronews7), 61,904 subscribers as measured 18 August 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.