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Channel
亚美尼亚二手交易频道
@HDAM_Market
On this record: Growth · Engagement · What this channel posts · Posts · Posts edited after publishing · Citations · Cite this entry
23,733subscribers
-11,573 since we began measuring on 7 August 2026
Risers and fallers across the register · movement among entries of 10,000–31,623.
Register entry
| Telegram ID | -1001900076795 |
|---|---|
| Type | Channel |
| Username | @HDAM_Market |
| Description | 专注发布亚美尼亚本地闲置物品与二手交易信息 💬 华人交流: @HUIDU_AM 📍 商家导航: @HDAM_Nav 🏠 房屋租赁: @HDAM_HOME 📦 二手交易: @HDAM_Market 📢 商家入驻/信息发布: @HDTereizz 💼 商务合作/推广曝光: @HDdian 🌐 灰度生态: @HUIDU_ECO 🛡 灰度担保: @HDdian |
| Created | 13 July 2023 — measured — dated from the channel’s first post |
| First recorded | 7 August 2026 |
| Last confirmed live | 21 August 2026 |
| Measurements held | 16 |
| Confirmed unchanged | 1 time, most recently 21 August 2026 |
| On Telegram | t.me/HDAM_Market |
Growth
| Measured (UTC) | Subscribers | Change |
|---|---|---|
| 21 Aug 2026, 23:27 | 23,733 | -161 |
| 20 Aug 2026, 18:02 | 23,894 | -129 |
| 19 Aug 2026, 20:15 | 24,023 | -296 |
| 18 Aug 2026, 19:35 | 24,319 | -86 |
| 17 Aug 2026, 19:48 | 24,405 | -169 |
| 16 Aug 2026, 14:28 | 24,574 | -484 |
| 15 Aug 2026, 00:05 | 25,058 | -139 |
| 13 Aug 2026, 16:36 | 25,197 | -4,288 |
| 12 Aug 2026, 18:54 | 29,485 | -4,394 |
| 11 Aug 2026, 17:19 | 33,879 | -523 |
| 10 Aug 2026, 20:21 | 34,402 | -198 |
| 9 Aug 2026, 19:32 | 34,600 | -250 |
| 8 Aug 2026, 17:38 | 34,850 | -371 |
| 7 Aug 2026, 18:54 | 35,221 | -85 |
| 7 Aug 2026, 07:00 | 35,306 | no change |
| 7 Aug 2026, 06:51 | 35,306 | first reading |
Engagement
17 posts held, back to 13 July 2023 — the reader has reached the start of this channel’s public history, so this is the full archive Telegram still exposes. Read across 35 pagesof Telegram’s post history, 20 posts per page.
- ERR · 30 days
- 1.63%
- avg views ÷ 23,733 subscribers
- Avg views / post
- 387
- 15 posts measured
- Reaction rate
- —
- this channel exposes no reaction counts
- Posts in window
- 15
- of 17 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 20 August 2026 |
|---|---|
| Posts held | 17 (13 July 2023 – 20 August 2026) |
| Views total | 5,809 |
| Reactions total | — |
| Forwards / comments | not exposed by the public surface — not measured, not estimated |
| Readings taken | 22 Aug 2026, 08:04 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
- 32
- Videos
- 4
Lifetime counters from Telegram’s own channel header, read 22 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.
- Video runtime
- 7s
- Average length
- 4s
Measured directly from 2 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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卖完了
出售物品:电动牙刷 售卖价格:8000、10000、14000德拉姆(可小刀) 物品介绍:全新物品 所在地区:埃里温 交易方式:快递+上门提货 联系方式:@Linx_ZhaoAhao
出售物品:真皮沙发、合拼沙发 售卖价格:230000德拉姆(可小刀) 物品介绍:二手物品 所在地区:埃里温 交易方式:快递+上门提货 联系方式:@Linx_ZhaoAhao
全新保险柜,有6个原价25w一个买的,现在6w一个,两个人才抬的动那种,不是便宜货,可以固定的 @woaichifanfanya
#亚美宠物 棉花面纱犬,找一个新主人,要舍得花钱打理的。国内花大几万购买的,现在给有责任心的领养,💰不💰的不重要,重要的是有责任心,因本人要去其他的国家,没有办法带着了。不免费,有一公一母两只,爱狗人士可以联系。 @woaichifanfanya
#二手信息 联系: @woaichifanfanya
#二手信息 联系: @woaichifanfanya
#二手信息 跑步机 乒乓桌转卖 联系: @woaichifanfanya
#二手信息 零食转售,国内便利店同价 自取或者外卖 联系: 已售
#二手信息 二手物品出售 联系: @woaichifanfanya
Showing the 12 most recent of 17 posts we hold for @HDAM_Market. 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
@HDAM_Market 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
- 10 August 2026
- Most recent edit
- 10 August 2026
Citation-graph rank
Citation-graph rank — 494,906 of 1,581,209entries 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.
Forward network
Republished by
Channels on the register that have forwarded this channel's posts into their own feed.
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 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.
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 21 August 2026 — this entry's latest reading, not the date you are reading this.
“亚美尼亚二手交易频道” (@HDAM_Market), 23,733 subscribers as measured 21 August 2026. Telegram Register, tgregister.com/channel/HDAM_Market.
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.