柬埔寨财通二手市场|财通二手物品交易中心📱 pinned a photo

Channel
柬埔寨财通二手市场|财通二手物品交易中心📱
@znyyy
On this record: Growth · Engagement · What this channel posts · Posts · Citations · Cite this entry
11,615subscribers
+191 since we began measuring on 11 August 2026
Risers and fallers across the register · movement among entries of 10,000–31,623.
Register entry
| Telegram ID | -1002169708420 |
|---|---|
| Type | Channel |
| Usernames | @CT558 @znyyy |
| Created | Between 1 June 2024 and 30 September 2024— estimated from Telegram’s id allocation, not measured. How this range is calculated. |
| First recorded | 11 August 2026 |
| Last confirmed live | 13 August 2026 |
| Measurements held | 5 |
| Confirmed unchanged | 1 time, most recently 13 August 2026 |
| On Telegram | t.me/znyyy |
Growth
| Measured (UTC) | Subscribers | Change |
|---|---|---|
| 13 Aug 2026, 16:49 | 11,615 | no change |
| 13 Aug 2026, 15:35 | 11,615 | +95 |
| 12 Aug 2026, 16:33 | 11,520 | -1 |
| 12 Aug 2026, 14:44 | 11,521 | +97 |
| 11 Aug 2026, 19:46 | 11,424 | first reading |
Engagement
32 posts held, back to 10 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 4 pagesof Telegram’s post history, 20 posts per page.
- ERR · 30 days
- 10.9%
- avg views ÷ 11,615 subscribers
- Avg views / post
- 1,260
- 16 posts measured
- Reaction rate
- —
- this channel exposes no reaction counts
- Posts in window
- 32
- of 32 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 12 August 2026 |
|---|---|
| Posts held | 32 (10 August 2026 – 12 August 2026) |
| Views total | 20,227 |
| Reactions total | — |
| Forwards / comments | not exposed by the public surface — not measured, not estimated |
| Readings taken | 13 Aug 2026, 04:05 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
- Video runtime
- 7s
- Average length
- 1s
Measured directly from 7 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 32 posts we hold for @znyyy. 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
Names
Channels on the register whose handles appear in this channel's posts.
@taobao · 38,0573 postsU99贵宾会-官方频道
@U99GBH · 4,5473 posts9y.com官方频道
@www9ycom · 19,2993 postsY3国际U台大赢家官方福利频道
@Y377777 · 5,9443 postsY3国际U台官方玩家福利频道USDT
@Y397777 · 6,8653 postsY3国际USDT平台世界杯红单频道
@Y3ZQTD · 20,9913 posts182合营中心
@DLHY182 · 1,7242 posts【球速体育】官方频道
@QSTY518 · 7,7172 posts【球速体育】官方合营中心
@QSTY7 · 5912 posts182体育-官方频道
@TY_182 · 3,8322 posts
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 13 August 2026 — this entry's latest reading, not the date you are reading this.
“柬埔寨财通二手市场|财通二手物品交易中心📱” (@znyyy), 11,615 subscribers as measured 13 August 2026. Telegram Register, tgregister.com/channel/znyyy.
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.