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 66% 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
32 measurements spanning 42 days, net -313. Dots are measurements; the straight line between them is drawn to join them, not to claim we know the path taken in between — snapshots are recorded only when a count changes, so gaps mean “no change observed”, never “interpolated”. The vertical axis spans 23,106–23,513 and does not start at zero.
Measurement log — every subscribers count we have recorded, most recent 20 of 32
Measured (UTC)
Subscribers
Change
18 Sept 2026, 12:55
23,153
-23
16 Sept 2026, 06:41
23,176
-6
14 Sept 2026, 11:22
23,182
-11
12 Sept 2026, 18:39
23,193
-13
10 Sept 2026, 21:38
23,206
-19
7 Sept 2026, 23:02
23,225
-27
4 Sept 2026, 19:37
23,252
-9
3 Sept 2026, 02:28
23,261
-13
1 Sept 2026, 20:54
23,274
+2
31 Aug 2026, 22:05
23,272
-16
31 Aug 2026, 00:24
23,288
-17
29 Aug 2026, 21:46
23,305
-3
28 Aug 2026, 21:25
23,308
-13
27 Aug 2026, 18:44
23,321
-11
26 Aug 2026, 15:25
23,332
-6
25 Aug 2026, 17:28
23,338
-9
24 Aug 2026, 20:13
23,347
-8
23 Aug 2026, 03:35
23,355
-9
20 Aug 2026, 16:46
23,364
-3
19 Aug 2026, 13:12
23,367
first reading
Engagement
245 posts held, back to 5 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 58 pages of Telegram’s post history, 20 posts per page.
ERR · 30 days
3.41%
avg views ÷ 23,153 subscribers
Avg views / post
790
84 posts measured
Reaction rate
—
this channel exposes no reaction counts
Posts in window
84
of 245 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.
What these figures were computed from
Window
Rolling 30 days · latest post in window 3 September 2026
Posts held
245 (5 August 2026 – 3 September 2026)
Views total
66,323
Reactions total
—
Forwards / comments
not exposed by the public surface — not measured, not estimated
Readings taken
3 Sept 2026, 11:07 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
6m 09s
Average length
37s
Measured directly from 10 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.
Advertising
Ad load
59.6%
146 of 245 posts carry an ad marker
Regulatory tokens
146
posts carrying an erid · 136 distinct tokens
Median views · ads
671
over 146 measured posts
Median views · rest
676
over 99 measured posts
An ad marker, not a judgement about a post. A post is counted here because it carries one of two explicit markings: an erid token, which Russian law has required on paid placements since 2022 and which is issued against a specific advertising contract, or a #реклама / #ad hashtag in the body, which is the channel declaring it itself. The first is documentary; the second is a self-declaration and is weaker. No classifier reads the text and decides — nothing on this site guesses that a post is an advertisement.
This is a floor, and it can only ever be a floor. A channel that runs paid placements without marking them produces no marker for us to count, and an unmarked ad is indistinguishable from an ordinary post on the public surface. The ad load above therefore means “the share of posts that declared themselves”, never “the share of posts that were paid for”. A low figure is not evidence of a channel that runs few ads.
Both figures are medians, and no ratio between them is published. Each is a view reading that actually occurred on a post, picked by percentile_disc rather than averaged, so one viral post cannot move it and no interpolated value is invented between two readings. They are printed side by side with the count behind each rather than as a ratio: an ad and an ordinary post are not otherwise matched — for topic, for length, for hour of day — so the gap between them is a description of two groups and not the effect of one being an ad.
Advertising tokens recorded on this entry
erid
Posts
First seen
Last seen
2VfnxxHWgiM
4
8 August 2026
3 September 2026
2Vfnxvem8Bs
3
10 August 2026
24 August 2026
2Vfnxvsnw4w
3
13 August 2026
27 August 2026
2Vfnxw31jcC
3
16 August 2026
30 August 2026
2VfnxvicAs5
2
7 August 2026
9 August 2026
2Ranyk7cSnP
1
25 August 2026
25 August 2026
2Ranyk7wEgj
1
6 August 2026
6 August 2026
2Ranyk9Tutw
1
7 August 2026
7 August 2026
2Ranyk9j36j
1
18 August 2026
18 August 2026
2RanykAnBMV
1
27 August 2026
27 August 2026
2RanykAxEao
1
6 August 2026
6 August 2026
2RanykH7JnX
1
28 August 2026
28 August 2026
A token repeated across several posts is one advertising contract placed more than once, which is what the identifier is for. The strings are reproduced exactly as they appeared in the post or in its click-through URL and are not validated against any registry — we record the marker a channel published, and whether it resolves to a real contract is a question for the register that issued it. 124 further tokens are held for this entry and not listed here.
Measured over the 245 most recent posts we hold, published 5 August 2026 to 3 September 2026. Views are the latest single reading held for each post, and any reading at or above 1,000 is rounded by Telegram to three significant figures.
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Showing the 12 most recent of 245 posts we hold for @skidkolub. 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
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 18 September 2026 — this
entry's latest reading, not the date you are reading this.
“Skidkolub” (@skidkolub), 23,153 subscribers as measured 18 September 2026. Telegram Register, tgregister.com/channel/skidkolub.
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.