Channel
@CDCLF
On this record: Growth · Engagement · What this channel posts · Posts · Citations · Domains linked from posts · Cite this entry
41,933subscribers
+2,745 since we began measuring on 7 August 2026
Risers and fallers across the register · movement among entries of 31,623–100,000.
| Telegram ID | -1001192620602 |
|---|---|
| Type | Channel |
| Username | @CDCLF |
| Description | 打造最专业优质靠谱免费成都修车资源 |
| Created | 20 October 2020 — measured — dated from the channel’s first post |
| First recorded | 7 August 2026 |
| Last confirmed live | 14 August 2026 |
| Measurements held | 10 |
| Confirmed unchanged | 1 time, most recently 14 August 2026 |
| On Telegram | t.me/CDCLF |
| Measured (UTC) | Subscribers | Change |
|---|---|---|
| 14 Aug 2026, 20:54 | 41,933 | +829 |
| 13 Aug 2026, 11:38 | 41,104 | +334 |
| 12 Aug 2026, 10:33 | 40,770 | +244 |
| 11 Aug 2026, 12:53 | 40,526 | +176 |
| 10 Aug 2026, 13:03 | 40,350 | +323 |
| 9 Aug 2026, 13:11 | 40,027 | +300 |
| 8 Aug 2026, 10:16 | 39,727 | +413 |
| 7 Aug 2026, 12:20 | 39,314 | +126 |
| 7 Aug 2026, 06:15 | 39,188 | no change |
| 7 Aug 2026, 06:05 | 39,188 | first reading |
7 posts held, back to 20 October 2020 — the reader has reached the start of this channel’s public history, so this is the full archive Telegram still exposes. Read across 22 pagesof Telegram’s post history, 20 posts per page.
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 5 August 2026 |
|---|---|
| Posts held | 7 (20 October 2020 – 5 August 2026) |
| Views total | 27,160 |
| Reactions total | — |
| Forwards / comments | not exposed by the public surface — not measured, not estimated |
| Readings taken | 15 Aug 2026, 12:56 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.
Lifetime counters from Telegram’s own channel header, read 15 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.
Measured directly from 3 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.
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Channel created
Showing the 7 most recent of 7 posts we hold for @CDCLF. 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.
Names
Channels on the register whose handles appear in this channel's 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.
One domainthis channel’s own posts have linked to, measured by scanning the post bodies themselves — not the channel’s description, which is the separate Declared links section below when this entry has one. Appearing here is not a claim about who runs the linked site or why the channel linked to it; an advertisement, a news citation and a malicious link all leave the same kind of row.
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 14 August 2026 — this entry's latest reading, not the date you are reading this.
“成都藏楼 - 公示榜” (@CDCLF), 41,933 subscribers as measured 14 August 2026. Telegram Register, tgregister.com/channel/CDCLF.
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.