民政婚姻 所有业务支持担保 担保费用买方承担 双向机器人: @LH_CDbot

Channel
轮回大道 公网查档频道
@LHCDPD
On this record: Growth · Engagement · Posts · Handles named that no longer answer · Cite this entry
23subscribers
+0 since we began measuring on 7 August 2026
Risers and fallers across the register · movement among entries of Under 1,000.
Register entry
| Telegram ID | -1002086670826 |
|---|---|
| Type | Channel |
| Username | @LHCDPD |
| Created | Between 1 November 2023 and 31 May 2024— estimated from Telegram’s id allocation, not measured. How this range is calculated. |
| First recorded | 11 August 2026 |
| Last confirmed live | 23 August 2026 |
| Measurements held | 4 |
| Confirmed unchanged | 1 time, most recently 23 August 2026 |
| On Telegram | t.me/LHCDPD |
Growth
| Measured (UTC) | Subscribers | Change |
|---|---|---|
| 23 Aug 2026, 10:07 | 23 | -1 |
| 15 Aug 2026, 04:53 | 24 | +1 |
| 11 Aug 2026, 11:32 | 23 | no change |
| 7 Aug 2026, 11:50 | 23 | first reading |
Engagement
9 posts held, back to 9 September 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 pageof 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 9 posts for this entry, the most recent from 13 December 2024. An engagement rate over an empty window would be a number about nothing.
Recent posts
出入境记录 所有业务支持担保 担保费用买方承担 双向机器人: @LH_CDbot
全国个户 支持定制 版本四选一 所有业务支持担保 担保费用买方承担 双向机器人: @LH_CDbot
轮回大道 公网查档频道 pinned «最近关注到、很多频道曝光查档被骗案列 轮回大道公网查档:支持新币和汇旺等大型担保交易:本频道不存在任何欺骗行为:请大家放心查档精诚合作 请各位网友查档前注意甄别是否支持担保交易 注意:担保交易前、请仔细(验群)市面上很多假担保及假担保群组»
最近关注到、很多频道曝光查档被骗案列 轮回大道公网查档:支持新币和汇旺等大型担保交易:本频道不存在任何欺骗行为:请大家放心查档精诚合作 请各位网友查档前注意甄别是否支持担保交易 注意:担保交易前、请仔细(验群)市面上很多假担保及假担保群组
司法卡冻 原版3图 所有业务支持担保 担保费用买方承担 双向机器人: @LH_CDbot
全国网上在逃 所有业务支持担保 担保费用买方承担 双向机器人: @LH_CDbot
不动产权证 仅:四川、江苏、河北、湖北、内蒙、辽宁、山西 所有业务支持担保 担保费用买方承担 双向机器人: @LH_CDbot
全家户籍 所有业务支持担保 担保费用买方承担 双向机器人: @LH_CDbot
Showing the 9 most recent of 9 posts we hold for @LHCDPD. 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.
Handles this channel named that no longer answer
- Dead references
- 1
- handles named in this channel’s posts, vacant today
- Evidenced gone
- 0
- we ourselves saw one of these resolve, at some point
- Never seen alive
- 1
- vacant every time we have ever looked
@LHCDPD named 1 handle 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.
Never seen alive
References a handle that is not a live channel — we have no record it ever was one.
named in 7 posts, 12 August 2026 – 12 August 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 23 August 2026 — this entry's latest reading, not the date you are reading this.
“轮回大道 公网查档频道” (@LHCDPD), 23 subscribers as measured 23 August 2026. Telegram Register, tgregister.com/channel/LHCDPD.
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.