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Channel
糖心集团WCN+转运珠
@bydb_kf
On this record: Topic · Growth · Engagement · What this channel posts · Reactions · Posts · Posts edited after publishing · Citations · Cite this entry
43,484subscribers
+4,658 since we began measuring on 14 August 2026
Risers and fallers across the register · movement among entries of 31,623–100,000.
Register entry
| Telegram ID | -1003847370524 |
|---|---|
| Type | Channel |
| Username | @bydb_kf |
| Description | 糖心集团机器人: @bydbVIP_bot 糖心集团机器人: @bydbVIP2_bot 糖心集团机器人: @bydbVIP3_bot 糖心集团机器人: @bydbVIP4_bot #北京 #上海 #天津 #重庆 #河北 #山西 #辽宁 #吉林 #江苏 #新疆 #浙江 #安徽 #福建 #江西 #山东 #河南 #湖北 #湖南 #广东 #广西 #海南 #四川 #贵州 #云南 #陕西 #甘肃 #青海 #黑龙江 #内蒙古 #香港 #深圳 |
| Created | Between 1 February 2026 and 31 July 2026 — estimated from Telegram’s id allocation, not measured. How this range is calculated. |
| First recorded | 14 August 2026 |
| Last confirmed live | 19 September 2026 |
| Measurements held | 26 |
| Confirmed unchanged | 1 time, most recently 19 September 2026 |
| On Telegram | t.me/bydb_kf |
Topic
Adult — 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 96% 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 |
|---|---|---|
| 19 Sept 2026, 09:56 | 43,484 | +12,771 |
| 16 Sept 2026, 22:38 | 30,713 | -1,517 |
| 14 Sept 2026, 22:41 | 32,230 | -1,507 |
| 13 Sept 2026, 10:41 | 33,737 | -2,205 |
| 11 Sept 2026, 13:57 | 35,942 | -1,984 |
| 8 Sept 2026, 21:17 | 37,926 | -2,097 |
| 5 Sept 2026, 12:01 | 40,023 | +13,431 |
| 3 Sept 2026, 10:46 | 26,592 | -1,958 |
| 2 Sept 2026, 03:47 | 28,550 | -2,262 |
| 1 Sept 2026, 01:49 | 30,812 | -469 |
| 30 Aug 2026, 22:46 | 31,281 | -815 |
| 29 Aug 2026, 22:27 | 32,096 | -895 |
| 28 Aug 2026, 21:05 | 32,991 | -854 |
| 28 Aug 2026, 00:24 | 33,845 | -291 |
| 26 Aug 2026, 20:53 | 34,136 | -442 |
| 25 Aug 2026, 23:07 | 34,578 | -353 |
| 24 Aug 2026, 21:27 | 34,931 | -698 |
| 23 Aug 2026, 09:06 | 35,629 | -674 |
| 21 Aug 2026, 20:07 | 36,303 | -670 |
| 20 Aug 2026, 16:44 | 36,973 | first reading |
Engagement
28 posts held, back to 8 August 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 58 pages of Telegram’s post history, 20 posts per page.
- ERR · 30 days
- 0.863%
- avg views ÷ 43,484 subscribers
- Avg views / post
- 375
- 15 posts measured
- Reaction rate
- 0.266%
- reactions ÷ views · ER floor
- Posts in window
- 15
- 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 4 of 15 measured posts that carry a reaction reading, and over those same posts' views.
| Window | Rolling 30 days · latest post in window 16 September 2026 |
|---|---|
| Posts held | 28 (8 August 2026 – 16 September 2026) |
| Views total | 5,630 |
| Reactions total | 4 |
| Forwards / comments | not exposed by the public surface — not measured, not estimated |
| Readings taken | 22 Sept 2026, 17:45 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
- 286
- Videos
- 33
- Links
- 17
Lifetime counters from Telegram’s own channel header, read 22 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
- 1m 56s
- Average length
- 29s
Measured directly from 4 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
17 reactions across 9 posts, in 1 kind.
| Reaction | Count | Share | Share, drawn |
|---|---|---|---|
| ❤ | 17 | 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 11 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 17 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 8 August 2026 to 16 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
20026糖心集团WCN/转运珠价目表:次/叶的价格 上海14俄罗斯 6000/15000 深圳10 15000/20000 深圳14 20000/35000 广州8 15000/25000 香港10 18000/30000 北京9 15000/20000 上海10 15000/20000 北京12 13000/18000 深圳9 20000/30000 深圳11 16000/20000 深圳9 25000/30000 昆明9 15000/20000 广州10 15000/20000 深圳10 18000/25000 温州12 10000/16000 温州11 13000/19000 广州12 15000/20000 青岛13 12000/18000 武汉15 15000/25000 丽水8 15000/25000 深圳10 10000/17000 河南10 15000/20000 河北10 9998/16888 武汉9 1…
福建转运珠22岁 165 50KG 快餐6000 包夜12000
湖南长沙常德可接,孕期3个月,缺钱快餐4000 包夜8000 23岁 166/45KG 需要的老板抓紧定
山东青岛孕妇27岁 170 55KG 孕期7个月,短接1个多月,想约的速度,快餐6000 包夜10000 有奶
20026糖心集团WCN/转运珠价目表:次/叶的价格 上海14俄罗斯 6000/15000 深圳10 15000/20000 深圳14 20000/35000 广州8 15000/25000 香港10 18000/30000 北京9 15000/20000 上海10 15000/20000 北京12 13000/18000 深圳9 20000/30000 深圳11 16000/20000 深圳9 25000/30000 昆明9 15000/20000 广州10 15000/20000 深圳10 18000/25000 温州12 10000/16000 温州11 13000/19000 广州12 15000/20000 青岛13 12000/18000 武汉15 15000/25000 丽水8 15000/25000 深圳10 10000/17000 河南10 15000/20000 河北10 9998/16888 武汉9 1…
❤2
新🆕巨乳潮喷呦呦 #293 第一次来港 新人首开 36C-D 娃娃脸 瘦底 刚下海 净身高 165 36D 43 kg 有制服 黑丝 🉑拍片 有机会喷水 👅36C-D 👅皮膚超白 👅🉑拍片 👅可能会喷 👅可69 👅可舌吻
1*極幼幼 #小騷貨292號 極幼喜歡騷必食 ‼️ 百分之百真人照片✅✅✅ 百分之百真人視頻✅✅✅ 不是真人照片報銷500✅✅✅ 極幼靚幼‼️👩🎓兼職 身高164🤪C大波波⚽️🥰仲發緊肉啊,😍超級好身材白滑bb肌膚😘 保證粉lin頭😍窄閪靚鮑任乃🤪 服務: #有前後待浴 #有大車 #剛破處#69#環保♻️ #水蕭💦#波⚽️推 #剛下海#新做#學生妹#有免費黑絲襪及性感制服 ❤️ 雖然初下海‼️但超級聽話肯學,咪角色都扮得,只有你想不到沒有做不到,快D黎吊爆這個小騷貨,帶上眼鏡更有一番風味,AV視覺感一流‼️ 喜歡極幼的哥哥快D預約‼️‼️ ⚠️重複三遍‼️極幼‼️極幼‼️極幼‼️ 第一次來港‼️百分之百新女‼️
來了😍 來了 😍 極幼款細細粒學生妹#E2 號 哥哥們的學生妹妹又來了😍😍 對不到相包彈✅✅✅✅ 百分之百酒店自拍真人照片✅✅✅ 新到极幼學生妹 😍😍😍 1XX歲可查ID👍身高155cm😍C波仔😎超級無敵極幼系列罪惡感十足👍 保證真人仲幼過相同視頻🔄 ⚠️▶️堅內地中學生帶埋校服嚟着👍 第一次來港 嬌小清純可愛瘦底白滑‼️ 服務: 陪浴 大車 🚩🚩 環保♻️仲可嚐新鮮鮑魚🥰 仲有免費黑絲襪及中學校服🥰🔥☄️ ⚠️⚠️每天只接少量客人⚠️⚠️ 酒店自拍真實照片‼️‼️ 如不對相全額退款➕公司報銷500車費‼️ 不議價‼️ 地區:油麻地 罪惡感之旅仲唔衝👍
Photo, posted without a caption
新到極幼#289號 初次來港1*歲学生👩🏻🎓 刚开處 初下海 第一次来港 能👀证 五官清纯 纯小白系 165cm C 45kg 皮肤白嫩 🕒点粉嫩 水道紧致 🉑飞 🉑舌👄 🉑夜 #新人初下海 #超嫩鮑魚👅 #剛開處😍 #能看證😍 #百分百對到相 幼女唔洗多講,本期最幼‼️看圖就知道,喜歡幼女的趕快下手錯過無‼️‼️‼️ 百分百酒店自拍照片✅✅✅ 百分之百真人一模一樣✅✅✅
Photo, posted without a caption
Showing the 12 most recent of 28 posts we hold for @bydb_kf. 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.
Posts edited after publishing
@bydb_kf edited 1 post after it first published — the same permalink now carries different wording than the one this register originally read, caught because our own crawl held a copy of the earlier text.
An edit is not deception. Typo fixes, price updates and corrections look exactly like this too — this register can tell you the wording changed and when, not why. How this is measured.
- First edit seen
- 16 August 2026
- Most recent edit
- 16 August 2026
Mentions
Named by 7 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.
@tangxin_by · 94,213286 posts糖心集团女孩快餐包夜
@tangxin_girl · 95,741261 posts财神全国快餐包夜一手价格
@kuaicanwaiwei · 14,501136 posts糖心集团高端外围选妃
@bydb_bb · 91,963114 posts糖心集团 海外包养 生活助理 顶美 模特 高端外围 全球可飞
@haiwaibaoyang789 · 44,30859 posts迷药/催情/麻醉/轮奸/听话水成人药品
@tangxinyaopin · 92,5683 posts糖心集团明星/艺人/网红/女优资源频道(集团严选极品妹子)
@haowangfaAV · 11,5212 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.
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.
“糖心集团WCN+转运珠” (@bydb_kf), 43,484 subscribers as measured 19 September 2026. Telegram Register, tgregister.com/channel/bydb_kf.
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.