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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

63,988subscribers

+4,361 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 live19 September 2026
Measurements held35
Confirmed unchanged1 time, most recently 19 September 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

59,62764,34861,987.57 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 subscribers63,9887 August 202619 September 2026
35 measurements spanning 43 days, net +4,361. 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 58,919–65,056 and does not start at zero.
Measurement log — every subscribers count we have recorded, most recent 20 of 35
Measured (UTC)SubscribersChange
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, 20:3463,037+292
23 Aug 2026, 07:1762,745+246
21 Aug 2026, 15:5562,499first reading

Engagement

28 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 113 pages of Telegram’s post history, 20 posts per page.

ERR · 30 days
5.13%
avg views ÷ 63,988 subscribers
Avg views / post
3,280
16 posts measured
Reaction rate
0.033%
reactions ÷ views · ER floor
Posts in window
16
of 28 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 11 of 16 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 21 September 2026
Posts held28 (31 July 2026 – 21 September 2026)
Views total52,540
Reactions total13
Forwards / commentsnot exposed by the public surface — not measured, not estimated
Readings taken26 Sept 2026, 08:15 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
511
Videos
120
Links
40

Lifetime counters from Telegram’s own channel header, read 26 September 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 05s
Average length
9s

Measured directly from 14 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

30 reactions across 16 posts, in 2 distinct kinds. The most used accounts for 93.3% of them.

Every reaction kind recorded on the sample, most used first
ReactionCountShareShare, drawn
❤2893.3%
🔥26.67%

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 20 of the 28 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 30 reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.

Measured over the 28 most recent posts we hold, published 31 July 2026 to 21 September 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 Sept 2026, 10:45 UTC≈1,310 views1 reactionsread 26 September 2026
Photo

🔥泰式古法抓龙筋🥰 龟责潮喷 寸止😘 丝足🦵延时脱敏💋 强制榨精 前列腺保养🫦 无限火力 控射训练😇 体验男高 潮P💦 重振男人雄风❤️ ⚠️598优惠50,898优惠100 预约:@baby33441 双向:@mst6688_bot 频道: 频道点击浏览👀 地址:鄞州区钱湖北路宝龙广场 🔴标签 #可放心出击 #已验证 #老师狼友请看下方评论区⬇️

❤1

20 Sept 2026, 06:05 UTC≈1,600 viewsread 26 September 2026
Photo

🎁更多抽奖: https://t.me/cuivd 🎟 抽奖标题:魔鬼身材小北 福利来袭 📪抽奖说明:中奖者机器人会发送中奖信息 中奖联系🚀电报:@Xbox520 中奖7天内部有效 🎫 参与条件: 🎫 加入-小北的朋友圈 🎫 加入-宁波品茶资源 🎫 加入-宁波品茶会【唯一老群】 🎁 奖品内容: 💰 口令红包10 × 1 💰 200优惠卷PP × 3 💰 100优惠卷 × 5 📅 开奖时间:2026-09-23 18:00自动开奖 👉 参与抽奖链接: https://t.me/cj888999bot?start=join-L178988409174

18 Sept 2026, 13:52 UTC≈2,290 views2 reactionsread 26 September 2026
Photo

圈界NO.1 🟡昵称:小咪 🕐地区:#鄞州区 🤖双向:@mimi375_bot 🚀电报:@xiaomi7745 🔔频道: 点击浏览频道👀 🔴水费:📤课表查看图📤 🔴标签 #已验证上榜 🔰【格语 】 风过无痕,而你留下的优雅,却是岁月里最美的痕迹。 🔰#点击下方查看详情⬇️

❤2

18 Sept 2026, 03:51 UTC≈2,450 views2 reactionsread 26 September 2026
Photo

宁波专业开发男高 前高龟责潮喷第一人 顶级院级手法,前列腺敏感的 大几率🉑做到高潮/潮喷💦 专业抓龙筋,前列腺保养,前列腺高潮,三起三落,龟责潮喷,柔式丝足诱惑sm等 ‼️598优惠50送龟责潮喷,898优惠100送前高,活动持续中 微信:mst8845 预约客服:@zlj1751 双向联系:@whzlj888_bot 频道: 频道点击浏览👀 地址:宁波海曙区星悦中心 ⚠️(无定金预约,服务完收费,需要提前预约时间哟,一客一约一消,保证私密性)

❤2

16 Sept 2026, 15:36 UTC≈3,100 views0 reactionsread 26 September 2026
Photo

圈界NO.1 🟡昵称:小北 🕐地区:#海曙 🤖双向: @xxb520_bot 🚀电报:@Xbox520 🔔频道: 点击浏览频道👀 🔴水费:📤课表查看图📤 🔴标签 #已验证上榜 🔰【格语 】 开怀大笑毫无保留的模样,鲜活热烈,抛开所有拘谨,真实的情绪展露,这样鲜活的你美得不可替代。 🔰#点击下方查看详情⬇️

15 Sept 2026, 12:14 UTC≈2,970 views2 reactionsread 21 September 2026
Photo

宁波镇海四 推 S P A 门 店 会 所 公 告 ! 全裸4推项目价格流程表 服务流程: 胸推 手推 足推 臀推 毒龙 漫游 舌滑 胸滑 油压 指滑 丝足 吸皮 偷桃 捞月 亲亲 摸摸 揉揉 換裝 丝袜 预约价:¥469 三人成团:¥439 先 服 务 后 买 单 单 独 包 厢 带 淋 浴 小姐姐多多 不满意随便换 无套路 不加钟 不办卡 全场透明消费 安全靠谱 客服:联系客户 聊天群:点击预览 v: 19293277836 #宁波 #镇海 #镇海4T #会所 #全裸

❤1🔥1

13 Sept 2026, 05:46 UTC≈4,180 views1 reactionsread 21 September 2026
Photo

业界NO.1 🟡花名:欣欣 🕐位置:#鄞州 🤖双向: 🚀电报:@eghhhgx888 🔔小窝: 点击浏览频道👀 🔴课费:⬆️课表查看图⬆️ 🔴标签 #已认证上榜 🔰【格言 】 你的骨相皮相相得益彰,近处细看细节精致,远观整体气韵十足,不管什么角度,都可以展现出独有的美感。 🔰#点击下方查看详情⬇️

❤1

12 Sept 2026, 10:00 UTC≈3,030 viewsread 18 September 2026

抽奖宁波高端养身94spa会所(编号L178892891149)已成功开奖: 创建人:小鸡哥《@sdgdsghdfgd》[6727341813] 已参与人数:1148 中奖名单如下: 敌羞吾去脱她*[59903011**](奖品为30优惠券) 键盘*[60192216**](奖品为50优惠券) 仙人板*[61922935**](奖品为100优惠券) 一本正*[61953988**](奖品为30优惠券) 社交恐惧症患*[64725064**](奖品为30优惠券) 钓鱼*[65177903**](奖品为50优惠券) 年纪轻轻月入320*[66746240**](奖品为50优惠券) 卖茶叶的*[68079478**](奖品为30优惠券) 黑杰*[68121734**](奖品为30优惠券) 我有姿势我自*[69199226**](奖品为50优惠券) 核动力吃饭*[69672565**](奖品为口令红包18) 你的军*[70716024*…

9 Sept 2026, 13:23 UTC≈4,360 views1 reactionsread 18 September 2026
Photo

圈界NO.1 🟡昵称:梦梦 🕐地区:#江北区 🤖双向:@xiaomeng1236_bot 🚀电报:@mengyu961 🔔频道: 点击浏览频道👀 🔴水费:📤课表查看图📤 🔴标签 #已验证上榜 🔰【格语 】 偶尔随性慵懒的模样别有风情,卸下所有精致伪装,松弛随意,这份真实状态,有着别样动人魅力。 🔰#点击下方查看详情⬇️

❤1

9 Sept 2026, 13:11 UTC≈4,370 viewsread 17 September 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: 频道点击浏览👀 #本群推荐信誉客服

9 Sept 2026, 08:42 UTC≈4,340 views1 reactionsread 17 September 2026
Photo

圈界NO.1 🟡昵称:羊羊不洋 🕐地区:#全区 🤖双向:@Yangtze080bot 🚀电报:@nanaeo90 🔔频道:频道点击浏览👀 🔴水费:📤课表查看图📤 🔴标签 #已验证上榜 🔰【格语 】 安静赏花时你的身影格外美好,人与景致互相衬托,花再娇艳,也抵不过你眉眼之间流露出来的风采。 🔰#点击下方查看详情⬇️

❤1

9 Sept 2026, 04:47 UTC≈2,850 views0 reactionsread 15 September 2026
Video

🎁更多抽奖: https://t.me/cuivd 🎟️ 抽奖标题:宁波高端养身94spa会所 📪抽奖说明:中奖者机器人会发送中奖信息 30优惠券×20张 50优惠券×10张 100优惠券×2张 口令红包18*3 (以上抽奖不包含A套餐) 中奖联系 @www8123 机器人 @aaxiao8_bot 🎫 参与条件: 🎫 加入-宁波喝茶交友 🎫 加入-宁波修车极品 🎫 加入-宁波高端养身94spa会所 🎁 奖品内容: 💰️ 口令红包18 × 3 💰️ 100优惠券 × 2 💰️ 50优惠券 × 10 💰️ 30优惠券 × 20 📅 开奖时间:2026-09-12 18:00自动开奖 👉 参与抽奖链接: https://t.me/cj888999bot?start=join-L178892891149

Showing the 12 most recent of 28 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.

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.

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.

“宁波喝茶交友” (@euronews7), 63,988 subscribers as measured 19 September 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.