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Channel
亚美尼亚二手交易频道
@HDAM_Market
On this record: Topic · Growth · Engagement · What this channel posts · Reactions · Posts · Posts edited after publishing · Citations · Cite this entry
44,795subscribers
+9,489 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 | -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 📰 亚美新闻: @HDAM_NEWS 📍 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 🤖 亚美尼亚生活助手:@HDAMLifeBot 🌐 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 | 8 October 2026 |
| Measurements held | 37 |
| Confirmed unchanged | 1 time, most recently 8 October 2026 |
| On Telegram | t.me/HDAM_Market |
Topic
Ecommerce storefront — 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 10 September 2026 and assigned it the closest of 31 fixed categories, at 90% 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 |
|---|---|---|
| 8 Oct 2026, 09:15 | 44,795 | -101 |
| 4 Oct 2026, 00:01 | 44,896 | -167 |
| 25 Sept 2026, 04:16 | 45,063 | -562 |
| 18 Sept 2026, 23:20 | 45,625 | -216 |
| 16 Sept 2026, 11:41 | 45,841 | -268 |
| 14 Sept 2026, 16:39 | 46,109 | -226 |
| 13 Sept 2026, 01:38 | 46,335 | +29,648 |
| 11 Sept 2026, 04:36 | 16,687 | -378 |
| 8 Sept 2026, 10:01 | 17,065 | -422 |
| 5 Sept 2026, 04:18 | 17,487 | -169 |
| 3 Sept 2026, 08:33 | 17,656 | -227 |
| 2 Sept 2026, 01:33 | 17,883 | -127 |
| 1 Sept 2026, 03:04 | 18,010 | -61 |
| 31 Aug 2026, 00:12 | 18,071 | -182 |
| 30 Aug 2026, 03:25 | 18,253 | -261 |
| 29 Aug 2026, 02:55 | 18,514 | -255 |
| 28 Aug 2026, 02:24 | 18,769 | -2,413 |
| 27 Aug 2026, 01:13 | 21,182 | -1,786 |
| 26 Aug 2026, 04:25 | 22,968 | -223 |
| 25 Aug 2026, 01:39 | 23,191 | first reading |
Engagement
29 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 107 pages of Telegram’s post history, 20 posts per page.
- ERR · 30 days
- 0.945%
- avg views ÷ 44,795 subscribers
- Avg views / post
- 424
- 10 posts measured
- Reaction rate
- 0.385%
- reactions ÷ views · ER floor
- Posts in window
- 11
- of 29 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. It is computed over the 1 of 10 measured posts that carry a reaction reading, and over those same posts' views.
| Window | Rolling 30 days · latest post in window 27 September 2026 |
|---|---|
| Posts held | 29 (13 July 2023 – 27 September 2026) |
| Views total | 4,235 |
| Reactions total | 1 |
| Forwards / comments | not exposed by the public surface — not measured, not estimated |
| Readings taken | 8 Oct 2026, 10:14 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
- 74
- Videos
- 4
Lifetime counters from Telegram’s own channel header, read 8 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.
- 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.
Reaction mix
1 reaction across 1 post, in 1 kind.
| Reaction | Count | Share | Share, drawn |
|---|---|---|---|
| ❤ | 1 | 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 1 of the 29 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 1 reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.
Measured over the 29 most recent posts we hold, published 13 July 2023 to 27 September 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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#二手信息 其他的锅碗瓢盆都是景德镇制造的通通出售 联系人:@bulusi897
#二手信息 两把高脚椅 一个猛火灶 一个鸭子椅出售 联系人:@bulusi897
#调料出售 草果4 烧肉香料2 茴香5 五香粉1 白芝麻2 黑芝麻5 熟酱小包3 熟酱大包6 花椒5 炖肉料调味料22 八角3 五香粉大包1 辣椒粉大包1 红梅味精1 麻辣鲜5冰糖2 红糖1 蚝油大桶1 蚝油小瓶2 生抽8 老抽3 @michu99999
#二手信息 出售: 中国IP Wi-Fi路由器 物品介绍:设备里面内置中国线路,搬家不再使用 价格: 380u 位置: 埃里温 交易方式 :usdt 联系方式:@hk27a 二手信息发布请联系:@HDdian
亚美尼亚二手交易频道 pinned «二手信息发布请联系:@HDdian»
#二手信息 上下床规格:100*200 数量:45张 联系方式:@jet6698 二手信息发布请联系:@HDdian
#二手信息 床垫的规格是:90x200 数量:30个 联系方式:@jet6698 二手信息发布请联系:@HDdian
#二手信息 6人位办公桌4张 两人位办公桌3张 办公椅28个 海信冰箱1个 饮水机1台 沙发一套 @am11818 二手信息发布请联系:@HDdian
❤1
#二手出售 刚买的电视柜200,刚买一个月的沙发4米多长1200吐血卖,还有一些刚到的海鲜干货,有需要的直接联系我 联系人: @woaichifanfanya 二手信息发布请联系:@HDdian
#二手出售 苹果MacBook Pro 22款 M2 13寸-M2芯片 8G内存 256G 硬盘 电池健康度88 % 只有一个角小的磕碰,键盘屏幕功能都是完好的没有任何异常 已出售
Showing the 12 most recent of 29 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 2 posts 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
- 16 September 2026
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 8 October 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), 44,795 subscribers as measured 8 October 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.