#海淀 🚗 💌安琪拉 #五道口 #15起 👉🏻@AngelleHH
❤1

Channel
@bobodaodh1
On this record: Topic · Growth · Engagement · Reactions · Posts · Citations · Cite this entry
1,240subscribers
+8 since we began measuring on 18 August 2026
Risers and fallers across the register · movement among entries of 1,000–3,162.
| Telegram ID | -1002761623230 |
|---|---|
| Type | Channel |
| Username | @bobodaodh1 |
| Created | 23 June 2025 — measured — dated from the channel’s first post |
| First recorded | 18 August 2026 |
| Last confirmed live | 18 September 2026 |
| Measurements held | 9 |
| Confirmed unchanged | 1 time, most recently 18 September 2026 |
| On Telegram | t.me/bobodaodh1 |
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 18 September 2026 and assigned it the closest of 31 fixed categories, at 91% 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.
| Measured (UTC) | Subscribers | Change |
|---|---|---|
| 18 Sept 2026, 16:18 | 1,240 | +6 |
| 14 Sept 2026, 04:01 | 1,234 | +3 |
| 10 Sept 2026, 08:40 | 1,231 | +5 |
| 5 Sept 2026, 12:19 | 1,226 | +8 |
| 1 Sept 2026, 05:56 | 1,218 | -2 |
| 28 Aug 2026, 23:25 | 1,220 | -2 |
| 25 Aug 2026, 21:08 | 1,222 | -6 |
| 18 Aug 2026, 19:13 | 1,228 | -4 |
| 18 Aug 2026, 06:45 | 1,232 | first reading |
10 posts held, back to 23 June 2025 — the reader has not yet reached the start of this channel’s public history, so older posts may sit further back, unread. Read across 1 page 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 10 posts for this entry, the most recent from 2 July 2025. An engagement rate over an empty window would be a number about nothing.
39 reactions across 8 posts, in 3 distinct kinds. The most used accounts for 94.9% of them.
| Reaction | Count | Share | Share, drawn |
|---|---|---|---|
| ❤ | 37 | 94.9% | |
| 😁 | 1 | 2.56% | |
| 🤔 | 1 | 2.56% |
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 9 of the 10 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 39 reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.
Measured over the 10 most recent posts we hold, published 23 June 2025 to 2 July 2025, using the newest reading held for each. Telegram Stars are excluded: they are a payment, not a reaction, and they have their own section.
#海淀 🚗 💌安琪拉 #五道口 #15起 👉🏻@AngelleHH
❤1
#西城 🚗 💌咪咪 #房山 #10起 👉🏻@mimi20240308 💌雅琪 #西直门 #12起 👉🏻@yaqiwoaini520
❤1
#通州 🚗 💌沐沐 #北苑地铁站 #5起 👉🏻@kkk166927
❤2
#东城 🚗 💌双胞胎姐妹 #广渠门 #26起 👉🏻@liqaz12345
#石景山 🚗 💌雪儿 #石景山 #5起 👉🏻@hujiacheng34 💌鹿鹿 #万达 #10起 👉🏻@xhu1021 💌媛媛 #石景山 #6起 👉🏻@hujiacheng66 🆕月儿 #石景山 #6起 👉🏻@hujiacheng66
❤1
#昌平 🚗 💌米雅 #立水桥 #6起 👉🏻 @xiaomiya3039 💌朵朵 #好未来 #12起 👉🏻@kkii599 💌茶茶 #回龙观 #8起 👉🏻@c88x8 💌小莫 #天通苑 #6起 👉🏻@xiaomo875 💌鹿鹿 #天通苑 #6起 👉🏻@luxi334 💌芳芳#回龙观 #5起 👉🏻 @qq8822321
❤4
#丰台 🚗 💌风铃#丰台 #4起 👉🏻 @fengling520fengling 💌小不点 #分钟寺 #14起 👉🏻@xiaobudian89865 💌大美 #六里桥 #6起 👉🏻@dameibj1 💌小臭臭 #菜户营 #12起 👉🏻@xiaomo199618 💌小雅雅 #马家堡 #14起 👉🏻 @xiaoyanzi6666 💌芒果 #角东门 #10起 👉🏻@sxsxy_139 💌CC #宋家庄 #7起 👉🏻@ccc1900 💌彦希 #成寿寺 #12起 👉🏻@Mengj916 💌小夕 #马家堡 #15起 👉🏻@xs0508 💌悠悠子 #纪家庙 #15起 👉🏻@youyouzi9905 💌娜娜 #钟萃路 #12起 👉🏻 @KK_Wildcat1 💌佳佳 #成寿寺 #14起 👉🏻@liujiajia1314520 💌北柠 #京开西路 #7起 👉🏻@beiningajb 💌奶欲 #分钟寺 #4起 👉🏻@bj…
❤8
#朝阳 🚗 💌琪琪 #团结湖 #6起 👉🏻@bjxinren888 💌乐乐 #团结湖 #6起 👉🏻@bjcylele 💌陆鸳 #国贸 #20起 👉🏻@luyuan175 💌妮妮 #望京 #10起 👉🏻@nini889927 💌小童 #skp #20起 👉🏻@x06069 💌溪宁 #亚运村 #14起 👉🏻@libingning66 💌苹果姐姐 #十里河 #7起 👉🏻@thjjud 💌苏瓷 #百子湾 #14起 👉🏻@sucifacai17bot 💌雅乐 #东四环 #12起 👉🏻@daxiongmei666 💌闪闪奶妈 #崇文门 #20起 👉🏻@zxc199511 💌莉娜 #悠乐汇 #8起 👉🏻@lina200612 💌允儿 #百子湾 #20起 👉🏻@yuner808 💌珠儿 #立水桥 #6起 👉🏻@Asjehvd 💌小不点 #高碑 #14起 👉🏻@xiaobudianya6 💌初恋 #青年路 #6起 …
❤16🤔1😁1
📍波波岛混合【修车总群】 :https://t.me/bobodaokkjj 📍波波岛混合【修车二群】:https://t.me/bobodaotwo 📍波波岛【认证频道】:https://t.me/bobodaoloveyou 📍波波岛老师【作业反馈】:https://t.me/bobodaozuoye 📍波波岛地址【导航中转】:https://t.me/bobodaodh1 ♂男群/♀女群请联系管理岛主进群
❤4
Channel created
Showing the 10 most recent of 10 posts we hold for @bobodaodh1. 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.
Names
Channels on the register whose handles appear in this channel's posts.
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.
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 September 2026 — this entry's latest reading, not the date you are reading this.
“北京-波波岛作业榜🤝” (@bobodaodh1), 1,240 subscribers as measured 18 September 2026. Telegram Register, tgregister.com/channel/bobodaodh1.
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.