Channel
@bydb_kf
On this record: Growth · Engagement · What this channel posts · Reactions · Posts · Posts edited after publishing · Citations · Cite this entry
38,766subscribers
-60 since we began measuring on 14 August 2026
Risers and fallers across the register · movement among entries of 31,623–100,000.
| 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 30 June 2026— estimated from Telegram’s id allocation, not measured. How this range is calculated. |
| First recorded | 14 August 2026 |
| Last confirmed live | 15 August 2026 |
| Measurements held | 2 |
| Confirmed unchanged | 1 time, most recently 15 August 2026 |
| On Telegram | t.me/bydb_kf |
| Measured (UTC) | Subscribers | Change |
|---|---|---|
| 15 Aug 2026, 11:39 | 38,766 | -60 |
| 14 Aug 2026, 21:17 | 38,826 | first reading |
10 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 3 pagesof 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. It is computed over the 4 of 9 measured posts that carry a reaction reading, and over those same posts' views.
| Window | Rolling 30 days · latest post in window 16 August 2026 |
|---|---|
| Posts held | 10 (8 August 2026 – 16 August 2026) |
| Views total | 1,764 |
| Reactions total | 5 |
| Forwards / comments | not exposed by the public surface — not measured, not estimated |
| Readings taken | 16 Aug 2026, 03:23 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 16 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.
5 reactions across 3 posts, in 1 kind.
| Reaction | Count | Share | Share, drawn |
|---|---|---|---|
| ❤ | 5 | 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 4 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 5reactions 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 8 August 2026 to 16 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.
山东双胞胎 16岁 次25000 夜35000 糖心交易流程： 选人、入会、见面、满意做、不满意全额退款，人照不符报销房费+路费，WCN入会翡翠会员起。转运珠入会黄金会员起。预算低于1W的老板免开尊口，选择喜欢的女孩转发客服，付款入会后确定服务项目，约会的时间地点 黄金会员：充值 800 USDT=5600元，赠送 15% USDT=840元（9折消费） 翡翠会员：充值 3000 USDT=21000元，赠送 30% USDT=6300元（6折消费）
广州双胞胎16岁 次28000 夜38000 糖心交易流程： 选人、入会、见面、满意做、不满意全额退款，人照不符报销房费+路费，WCN入会翡翠会员起。转运珠入会黄金会员起。预算低于1W的老板免开尊口，选择喜欢的女孩转发客服，付款入会后确定服务项目，约会的时间地点 黄金会员：充值 800 USDT=5600元，赠送 15% USDT=840元（9折消费） 翡翠会员：充值 3000 USDT=21000元，赠送 30% USDT=6300元（6折消费）
深圳双胞胎15岁 次30000，夜50000 糖心交易流程： 选人、入会、见面、满意做、不满意全额退款，人照不符报销房费+路费，WCN入会翡翠会员起。转运珠入会黄金会员起。预算低于1W的老板免开尊口，选择喜欢的女孩转发客服，付款入会后确定服务项目，约会的时间地点 黄金会员：充值 800 USDT=5600元，赠送 15% USDT=840元（9折消费） 翡翠会员：充值 3000 USDT=21000元，赠送 30% USDT=6300元（6折消费）
糖心集团WCN/转运珠价目表：次/叶的价格 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 15000/20000 深圳双胞胎15 30000…
武汉 年零 9 快餐 15000 叶 20000 糖心交易流程： 选人、入会、见面、满意做、不满意全额退款，人照不符报销房费+路费，WCN入会翡翠会员起。转运珠入会黄金会员起。预算低于1W的老板免开尊口，选择喜欢的女孩转发客服，付款入会后确定服务项目，约会的时间地点 黄金会员：充值 800 USDT=5600元，赠送 15% USDT=840元（9折消费） 翡翠会员：充值 3000 USDT=21000元，赠送 30% USDT=6300元（6折消费）
❤2
河北 年零 10 快餐 9998 叶 16888 糖心交易流程： 选人、入会、见面、满意做、不满意全额退款，人照不符报销房费+路费，WCN入会翡翠会员起。转运珠入会黄金会员起。预算低于1W的老板免开尊口，选择喜欢的女孩转发客服，付款入会后确定服务项目，约会的时间地点 黄金会员：充值 800 USDT=5600元，赠送 15% USDT=840元（9折消费） 翡翠会员：充值 3000 USDT=21000元，赠送 30% USDT=6300元（6折消费）
河南 年零 10 快餐 15000 叶 20000 糖心交易流程： 选人、入会、见面、满意做、不满意全额退款，人照不符报销房费+路费，WCN入会翡翠会员起。转运珠入会黄金会员起。预算低于1W的老板免开尊口，选择喜欢的女孩转发客服，付款入会后确定服务项目，约会的时间地点 黄金会员：充值 800 USDT=5600元，赠送 15% USDT=840元（9折消费） 翡翠会员：充值 3000 USDT=21000元，赠送 30% USDT=6300元（6折消费）
❤1
深圳 年零 10 快餐 10000 叶 17000 糖心交易流程： 选人、入会、见面、满意做、不满意全额退款，人照不符报销房费+路费，WCN入会翡翠会员起。转运珠入会黄金会员起。预算低于1W的老板免开尊口，选择喜欢的女孩转发客服，付款入会后确定服务项目，约会的时间地点 黄金会员：充值 800 USDT=5600元，赠送 15% USDT=840元（9折消费） 翡翠会员：充值 3000 USDT=21000元，赠送 30% USDT=6300元（6折消费）
❤2
丽水 年零 8 快餐 15000 叶 25000 糖心交易流程： 选人、入会、见面、满意做、不满意全额退款，人照不符报销房费+路费，WCN入会翡翠会员起。转运珠入会黄金会员起。预算低于1W的老板免开尊口，选择喜欢的女孩转发客服，付款入会后确定服务项目，约会的时间地点 黄金会员：充值 800 USDT=5600元，赠送 15% USDT=840元（9折消费） 翡翠会员：充值 3000 USDT=21000元，赠送 30% USDT=6300元（6折消费）
糖心集团WCN+转运珠 pinned «糖心集团经过考虑，保护WCN隐私安全，今日起图片经过微处理，避免熟人认出，相似度95%，可见本人后确认，承诺不满意全额退款！»
Showing the 10 most recent of 10 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.
@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.
Citation-graph rank — 417,266 of 1,481,217entries 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.
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.
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.
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 15 August 2026 — this entry's latest reading, not the date you are reading this.
“糖心集团WCN+转运珠” (@bydb_kf), 38,766 subscribers as measured 15 August 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.