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Channel
斯里兰卡房屋租赁频道【GGC2027 招商】
@HDLKA_RNav
On this record: Topic · Growth · Engagement · What this channel posts · Posts · Citations · Handles named that no longer answer · Cite this entry
52,981subscribers
+7,893 since we began measuring on 7 August 2026
Risers and fallers across the register · movement among entries of 31,623–100,000.
Register entry
| Telegram ID | -1001838227764 |
|---|---|
| Type | Channel |
| Username | @HDLKA_RNav |
| Description | 💬 华人交流: @HUIDU_LKA 📰 兰卡新闻: @HDLKA_NEWS 💼 商家交流: @HDLKA_Biz 📍 商家导航: @HDLKA_Nav 🛒 二手交易: @HDLKA_Market 🏷 二手频道: @HDLKA_MET 🏠 房屋租赁: @HDLKA_RNav 🚗 租房包车: @HDLKA_Rent 🌐 灰度生态: @HUIDU_ECO 🛡 灰度担保: @HDdian ⚠️ 租房提醒 签约或付款前,请实地核实房源、房东身份、租金、押金及合同条款,谨防虚假房源与冒充中介。平台仅提供信息 |
| Created | Between 1 October 2022 and 30 September 2023 — estimated from Telegram’s id allocation, not measured. How this range is calculated. |
| First recorded | 7 August 2026 |
| Last confirmed live | 26 September 2026 |
| Measurements held | 35 |
| Confirmed unchanged | 1 time, most recently 26 September 2026 |
| On Telegram | t.me/HDLKA_RNav |
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 9 September 2026 and assigned it the closest of 31 fixed categories, at 46% 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 |
|---|---|---|
| 26 Sept 2026, 14:19 | 52,981 | -878 |
| 19 Sept 2026, 16:37 | 53,859 | -361 |
| 17 Sept 2026, 05:58 | 54,220 | -171 |
| 15 Sept 2026, 07:40 | 54,391 | -370 |
| 13 Sept 2026, 14:22 | 54,761 | -504 |
| 11 Sept 2026, 19:57 | 55,265 | -577 |
| 9 Sept 2026, 08:57 | 55,842 | -461 |
| 5 Sept 2026, 23:18 | 56,303 | +19,766 |
| 3 Sept 2026, 21:58 | 36,537 | -171 |
| 2 Sept 2026, 13:04 | 36,708 | -201 |
| 1 Sept 2026, 11:38 | 36,909 | -146 |
| 31 Aug 2026, 10:04 | 37,055 | -74 |
| 30 Aug 2026, 11:04 | 37,129 | -303 |
| 29 Aug 2026, 13:04 | 37,432 | -381 |
| 28 Aug 2026, 09:53 | 37,813 | -598 |
| 27 Aug 2026, 08:28 | 38,411 | -3,727 |
| 26 Aug 2026, 07:24 | 42,138 | -295 |
| 25 Aug 2026, 04:21 | 42,433 | -220 |
| 23 Aug 2026, 20:43 | 42,653 | -180 |
| 22 Aug 2026, 04:15 | 42,833 | first reading |
Engagement
1,427 posts held, back to 6 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 105 pages of Telegram’s post history, 20 posts per page.
- ERR · 30 days
- 0.003%
- avg views ÷ 52,981 subscribers
- Avg views / post
- 1.6
- 827 posts measured
- Reaction rate
- —
- this channel exposes no reaction counts
- Posts in window
- 828
- of 1,427 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 27 September 2026 |
|---|---|
| Posts held | 1,427 (6 August 2026 – 27 September 2026) |
| Views total | 1,283 |
| Reactions total | — |
| Forwards / comments | not exposed by the public surface — not measured, not estimated |
| Readings taken | 27 Sept 2026, 05:05 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
- ≈4,070
- Videos
- ≈123
- Links
- ≈2,200
Lifetime counters from Telegram’s own channel header, read 27 September 2026 — not the date at the top of this page, which is when the subscriber count was last read. A count marked ≈ was rounded by Telegram before we ever saw it — t.me prints these counters in full below 1,000 and to three significant figures above, so ≈142,000 means somewhere between 141,500 and 142,499.
- Video runtime
- 3m 45s
- Average length
- 25s
Measured directly from 9 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.
Recent posts
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Showing the 12 most recent of 1,427 posts we hold for @HDLKA_RNav. 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.
Forward network
Republishes
Channels on the register whose posts this channel has forwarded.
Built only from forwarded posts we have actually read, on both sides. Coverage is early and deliberately incomplete: a missing link means we have not read the post that would prove it, never that the relationship does not exist. Counts are distinct forwarded posts observed, so they only ever go up as we read more.
Mentions
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.
@blyl · 923173 posts金乐娱乐|环海直营@JLYL
@jinle · 6,263173 posts灰度担保公群频道♻️
@hddbgongqun · 82,067129 postsGGC GLOBAL GAME CONNECT
@GGCglobal · 2,13753 posts叮当猫全球bc 短信料 ws料 tg料 rcs料
@ttt532422 · 60252 postsUZ.com | 中文官方频道®️
@uzcom_cn · 3,18150 postsTG招聘-找高薪工作,上TGJOB
@TGJOBGF · 2,38348 postsIDRPAY官方频道
@IDRPAY_official · 9501 post168PAY官方频道
@official168PAY · 1401 post直购流量-全球收量-T0结算-一手直签Direct Traffic Buy – Global Volume – T+0 Payout – Direct Deals
@seo_kiss · 4,3361 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
- 0
- we ourselves saw one of these resolve, at some point
- Never seen alive
- 2
- vacant every time we have ever looked
@HDLKA_RNav 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.
Never seen alive
References a handle that is not a live channel — we have no record it ever was one.
named in 1 post, 11 September 2026 – 11 September 2026
named in 1 post, 11 September 2026 – 11 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 26 September 2026 — this entry's latest reading, not the date you are reading this.
“斯里兰卡房屋租赁频道【GGC2027 招商】” (@HDLKA_RNav), 52,981 subscribers as measured 26 September 2026. Telegram Register, tgregister.com/channel/HDLKA_RNav.
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.