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Channel
🔸唯心付费供需10U/一条(🔥限时7usdt)
@WXDBPD
On this record: Topic · Growth · Engagement · What this channel posts · Reactions · Posts · Citations · Handles named that no longer answer · Cite this entry
59,916subscribers
-26,209 since we began measuring on 5 September 2026
Risers and fallers across the register · movement among entries of 31,623–100,000.
Register entry
| Telegram ID | -1004369805212 |
|---|---|
| Type | Channel |
| Username | @WXDBPD |
| Created | Between 1 June 2026 and 5 September 2026 — estimated from Telegram’s id allocation, not measured. How this range is calculated. |
| First recorded | 5 September 2026 |
| Last confirmed live | 27 October 2026 |
| Measurements held | 25 |
| Confirmed unchanged | 1 time, most recently 27 October 2026 |
| On Telegram | t.me/WXDBPD |
Topic
Gambling & betting — 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 13 September 2026 and assigned it the closest of 31 fixed categories, at 99% 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 the other topics.
Growth
| Measured (UTC) | Subscribers | Change |
|---|---|---|
| 27 Oct 2026, 09:39 | 59,916 | -1,396 |
| 26 Oct 2026, 08:35 | 61,312 | -2,328 |
| 25 Oct 2026, 10:27 | 63,640 | -1,192 |
| 24 Oct 2026, 13:36 | 64,832 | -2,383 |
| 23 Oct 2026, 13:05 | 67,215 | -1,487 |
| 22 Oct 2026, 12:54 | 68,702 | -2,808 |
| 21 Oct 2026, 09:30 | 71,510 | -1,977 |
| 20 Oct 2026, 10:28 | 73,487 | -3,340 |
| 19 Oct 2026, 12:08 | 76,827 | -2,853 |
| 18 Oct 2026, 12:45 | 79,680 | -844 |
| 17 Oct 2026, 09:16 | 80,524 | -2,709 |
| 16 Oct 2026, 11:44 | 83,233 | -1,111 |
| 15 Oct 2026, 14:11 | 84,344 | -1,801 |
| 14 Oct 2026, 12:15 | 86,145 | -4,288 |
| 12 Oct 2026, 22:45 | 90,433 | -8,892 |
| 8 Oct 2026, 13:38 | 99,325 | -2,419 |
| 4 Oct 2026, 04:16 | 101,744 | -41 |
| 25 Sept 2026, 12:00 | 101,785 | -1,833 |
| 17 Sept 2026, 08:22 | 103,618 | +506 |
| 15 Sept 2026, 05:00 | 103,112 | first reading |
Engagement
203 posts held, back to 5 September 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 105 pages of Telegram’s post history, 20 posts per page.
- ERR · 30 days
- 0.003%
- avg views ÷ 59,916 subscribers
- Avg views / post
- 1.7
- 3 posts measured
- Reaction rate
- —
- this channel exposes no reaction counts
- Posts in window
- 3
- of 203 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.
| Window | Rolling 30 days · latest post in window 2 October 2026 |
|---|---|
| Posts held | 203 (5 September 2026 – 2 October 2026) |
| Views total | 5 |
| Reactions total | — |
| Forwards / comments | not exposed by the public surface — not measured, not estimated |
| Readings taken | 27 Oct 2026, 16:53 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
- 38
- Links
- 133
Lifetime counters from Telegram’s own channel header, read 27 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.
Reaction mix
26 reactions across 19 posts, in 3 distinct kinds. The most used accounts for 53.8% of them.
| Reaction | Count | Share | Share, drawn |
|---|---|---|---|
| 💩 | 14 | 53.8% | |
| 👎 | 11 | 42.3% | |
| ❤ | 1 | 3.85% |
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 21 of the 203 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 26 reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.
Measured over the 203 most recent posts we hold, published 5 September 2026 to 2 October 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
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Showing the 12 most recent of 203 posts we hold for @WXDBPD. 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 2 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.
Names
Channels on the register whose handles appear in this channel's posts.
@nangong_nb · 63,52636 posts🔥南官电子爆奖反馈💰
@ngnb9999 · 5837 posts电子打狗🔥
@VIPngc7 · 5,3537 posts清影10u老牌供需🔥每天稳定引流中🧧
@qy665 · 164,9244 postsSOSO搜搜
@sooo · 469,8664 postsSOSO搜搜🔞
@SosoCnBot · 245,2244 postsSOSO搜搜
@sososo · 556,7344 postsSOSO搜搜
@souso · 594,2984 posts林帝每日免费红包🧧频道
@ngpg29 · 19,2173 posts威尼斯娱乐频道
@kaima · 18,6542 posts众信集团官方直开小额代收⚡️
@pfnb667 · 50,7902 posts派大星项目组
@u321o · 17,1612 posts落叶公益内核
@luoyenb521 · 103,0421 postNC集团信誉频道(新)
@NCshangkou · 1451 post问鼎 壹号 官方反馈群
@qiuqiu_8877 · 42,9661 post【鸣哥】微信撸金项目♻️绿色稳赚🚗
@ymblhym · 11,8391 post
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.
Handles this channel named that no longer answer
- Dead references
- 2
- handles named in this channel’s posts, vacant today
- Evidenced gone
- 1
- we ourselves saw one of these resolve, at some point
- Never seen alive
- 1
- vacant every time we have ever looked
@WXDBPD named 2 handles that resolve to nothing today. That is a fact about the reference, not necessarily a fact about the handle’s history — see the two groups below.
Most of these may never have existed as a live channel at all. A handle a channel names can be a typo, an aspirational name nobody registered, or a channel that was already gone before this one ever mentioned it. Unless a row below is marked evidenced, all we know is that it references a handle that is not a live channel today — not that anything “died”. How this is measured.
Evidenced gone
We ourselves saw each of these resolve to a real page at some point before it went vacant — a genuine, evidenced change, not an inference from absence.
named in 12 posts, 15 September 2026 – 9 October 2026 · confirmed gone 27 October 2026 (two independent sightings — see how we confirm a dead handle)evidenced
Never seen alive
References a handle that is not a live channel — we have no record it ever was one.
named in 1 post, 13 September 2026 – 13 September 2026
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 27 October 2026 — this entry's latest reading, not the date you are reading this.
“🔸唯心付费供需10U/一条(🔥限时7usdt)” (@WXDBPD), 59,916 subscribers as measured 27 October 2026. Telegram Register, tgregister.com/channel/WXDBPD.
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.