Channel
@hbcy_dh
On this record: Growth · Engagement · What this channel posts · Reactions · Posts · Citations · Cite this entry
11,580subscribers
+0 since we began measuring on 4 October 2026
Risers and fallers across the register · movement among entries of 10,000–31,623.
| Telegram ID | -1002002825579 |
|---|---|
| Type | Channel |
| Username | @hbcy_dh |
| Description | 唯一管理:https://t.me/hubanchayu8 作业反馈:https://t.me/hbcy_bot 交流群: t.me/hubanchayu_shanghai 精选榜: t.me/hbcy_sh 人气榜: t.me/hubanchaye_BD 广播站； t.me/shanghaichayu 备用群:t.me/hubanchayu 作业反馈频道:t.me/hubanchaye 一键关注所有频道 https://t.me/addlist/dLsRw8Ru0zVjYTQ1 |
| First recorded | 4 October 2026 |
| Last confirmed live | 4 October 2026 |
| Measurements held | 2 |
| On Telegram | t.me/hbcy_dh |
| Measured (UTC) | Subscribers | Change |
|---|---|---|
| 4 Oct 2026, 15:22 | 11,580 | no change |
| 4 Oct 2026, 14:47 | 11,580 | first reading |
20 posts held, back to 2 July 2024 — 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.
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.
| Window | Rolling 30 days · latest post in window 14 September 2026 |
|---|---|
| Posts held | 20 (2 July 2024 – 14 September 2026) |
| Views total | 16,020 |
| Reactions total | — |
| Forwards / comments | not exposed by the public surface — not measured, not estimated |
| Readings taken | 4 Oct 2026, 15:22 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.
Lifetime counters from Telegram’s own channel header, read 4 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.
1 reaction across 1 post, in 1 kind.
| Reaction | Count | Share | Share, drawn |
|---|---|---|---|
| ❤ | 1 | 100.0% |
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 1 of the 20 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 1 reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.
Measured over the 20 most recent posts we hold, published 2 July 2024 to 14 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.
大咪 静安 1000p https://t.me/damishuiduoduo 精酱姐妹花 普陀 2400p https://t.me/+Vrhrlw-pXT4zODg 加多宝 闵行 1500p https://t.me/jiaduobao522 冰冰 长宁 800p https://t.me/jaunbin 双胞胎姐妹 普陀 1200p t.me/shuangbaitai 樂樂 普陀 700p https://t.me/azwy02
张梦露 普陀 1200p https://t.me/zhangmenglu 初恋 浦东 1600p https://t.me/+LSeDdfq8y8cwOThl 如陌 浦东 700p https://t.me/rumo888999 小满 长宁 1000p @xiaomanjy666 王子文 闵行 1000p https://t.me/wwzzwwkkyy 张娜娜 闵行 1500p http://t.me/zhanglala868 柔柔 杨浦 900p https://t.me/yprr123 浅浅 杨浦 1100p https://t.me/qianqianpinglunqu 点点 浦东 1100p https://t.me/Shdd7788 安糖糖 浦东 1200p https://t.me/+FBaunF7p…
小龙女 长宁 1000 https://t.me/longnvgg6 团团 黄浦 499 https://t.me/hptzhptz 蓉蓉 浦东 700 https://t.me/rongrong986 沐沐 嘉定 1000 https://t.me/mumua02 小沁 浦东 399 @shangh_zlj 菲菲 浦东 699 https://t.me/feifeizlj998 温蒂 浦东 599 @SHzhualongjinwendy1 珂珂 普陀 599 t.me/yuxuanXTD 奶茶 闵行 400 https://t.me/mj663789
一口菲酱 普陀 2800p https://t.me/feibb520 玥琳 徐汇 1200p https://t.me/+Qek8U8EBRoRiYWRh 悦悦 长宁 700p https://t.me/vcAqvAarIPE0NDQ1 小沁 浦东 399p @shangh_zlj
一口菲酱 普陀 2800p https://t.me/feibb520 涵涵 宝山 1200p https://t.me/fhjhjjcmm 鹿少女 静安 800p https://t.me/qiaoqiao520love 雅洁 闵行 1400p https://t.me/yajie660 玥琳 徐汇 1200p https://t.me/+Qek8U8EBRoRiYWRh 雪儿 普陀 1000p https://t.me/xebai 呦呦 静安 1200p https://t.me/youyou8688688 小小晗 普陀 1000p https://t.me/UClu6XtpEFQyMzk1 小羊 徐汇 1100p https://t.me/FBQdhkMDJl 周星瑶 长宁 800p @zhouxingyao11 奶油蛋糕 …
张梦露 普陀 1200p https://t.me/zhangmenglu 小龙女 长宁 1000p https://t.me/longnvgg6 如陌 浦东 700p https://t.me/rumo888999 小满 长宁 600p @xiaomanjy66 柔柔 杨浦 900p https://t.me/yprr123 秀儿 浦东 1000p https://t.me/xiuer66999 璐璐 松江 600p https://t.me/lulu202520255555 月月 长宁 700p @yueyue32112 丫头 虹口 700p https://t.me/yatou123hhhhhh 欢欢 浦东 600p https://t.me/huanhuan12_78 茉莉 普陀 600p @moli12_16 …
📍#杨浦 💰800及以下 💰801~1000元 柔柔 💰1001~1500元 浅浅 💰1501~2000元 💰2000以上 ✈️地区导航 📍置顶 📍长宁 📍闵行 📍普陀 📍静安 📍徐汇 📍浦东 📍虹口 📍奉贤 📍宝山 📍嘉定 📍青浦 📍黄浦 📍 杨浦 📍松江
📍#松江 💰800及以下 璐璐 💰801~1000元 💰1001~1500元 💰1501~2000元 💰2000以上 ✈️地区导航 📍置顶 📍长宁 📍闵行 📍普陀 📍静安 📍徐汇 📍浦东 📍虹口 📍奉贤 📍宝山 📍嘉定 📍青浦 📍黄浦 📍 杨浦 📍松江
📍#黄浦 💰800及以下 团团 💰801~1000元 甜甜 💰1001~1500元 💰1501~2000元 💰2000以上 ✈️地区导航 📍置顶 📍长宁 📍闵行 📍普陀 📍静安 📍徐汇 📍浦东 📍虹口 📍奉贤 📍宝山 📍嘉定 📍青浦 📍黄浦 📍 杨浦 📍松江
📍#青浦 💰800及以下 coco 💰801~1000元 💰1001~1500元 悠悠 💰1501~2000元 💰2000以上 ✈️地区导航 📍置顶 📍长宁 📍闵行 📍普陀 📍静安 📍徐汇 📍浦东 📍虹口 📍奉贤 📍宝山 📍嘉定 📍青浦 📍黄浦 📍 杨浦 📍松江
📍#嘉定 💰800及以下 杨杨 💰801~1000元 沐沐 💰1001~1500元 💰1501~2000元 💰2000以上 ✈️地区导航 📍置顶 📍长宁 📍闵行 📍普陀 📍静安 📍徐汇 📍浦东 📍虹口 📍奉贤 📍宝山 📍嘉定 📍青浦 📍黄浦 📍 杨浦 📍松江
📍#宝山 💰800及以下 语萱 优乐美 💰801~1000元 💰1001~1500元 涵涵 💰1501~2000元 💰2000以上 ✈️地区导航 📍置顶 📍长宁 📍闵行 📍普陀 📍静安 📍徐汇 📍浦东 📍虹口 📍奉贤 📍宝山 📍嘉定 📍青浦 📍黄浦 📍 杨浦 📍松江
Showing the 12 most recent of 20 posts we hold for @hbcy_dh. 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.
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.
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 4 October 2026 — this entry's latest reading, not the date you are reading this.
“上海【沪伴茶语】总导航” (@hbcy_dh), 11,580 subscribers as measured 4 October 2026. Telegram Register, tgregister.com/channel/hbcy_dh.
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.