Ecommerce storefront — a classification, not a measurement. An on-box language model (Qwen3.6-35B-A3B-UD-Q6_K_XL, prompt version 1) read this channel’s own recent posts on 10 August 2026 and assigned it the closest of 31 fixed categories, at 98% 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.
Observations
These are measurements, not verdicts. Each one below states something we counted, alongside the evidence it was counted from, so you can check it rather than take it. None of them is graded: every observation this register holds is recorded at severity 0, because the precision of the detectors behind them has not been measured yet, and a rating we cannot support is worse than none. Read each as a fact about the data, not as a judgement about the channel. How we measure.
Views per post sit far below this size band
6.0 average views per post against 77,679 subscribers — an engagement rate of 0.008%. Across the 24,107 registered channels in the same cohort — 31,624–99,995 subscribers — the middle half sit between 2.64% and 14.8%, with a median of 6.80%.
What this was computed from
Window
30 days (11 September 2026 – 11 October 2026)
Posts measured
426 of 426 published in the window (426 exact, 0 rounded by Telegram)
Views totalled
2,556
Mature posts only
0.008% over 290 posts read at least 24h after publication
When this is recorded. A channel is listed here only when its engagement rate sits at or below the 1st percentile of its cohort and is at least 3× away from that cohort’s median — below it — on both the all-readings figure and the mature-only figure. The percentile alone would be circular: a percentile cut puts the same share of every cohort in the tail whatever the data looks like. The distance from the median is what makes it a statement about this channel.
This is not a verdict, and the direction is not a quality signal. A low rate has many innocent causes — audiences that read in the Telegram app without opening the channel, a subscriber base built long before the current output, an audience in a different timezone from our reading. A high rate has innocent causes too: a post that travelled far beyond the channel’s own subscribers will do it. We publish the measurement and the distribution it sits in. The full cohort baselines are downloadable, so this comparison can be reproduced rather than trusted.
Recorded under the key err_low, last confirmed 11 October 2026. An observation that a later pass no longer finds is cleared, and a cleared observation is removed from this page rather than being shown struck through — we do not keep publishing a claim we have withdrawn. Dispute an observation.
Growth
36 measurements spanning 62 days, net -4,575. 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 76,993–82,940 and does not start at zero.
Measurement log — every subscribers count we have recorded, most recent 20 of 36
Measured (UTC)
Subscribers
Change
8 Oct 2026, 15:17
77,679
-1,164
4 Oct 2026, 01:39
78,843
-572
25 Sept 2026, 10:36
79,415
-378
18 Sept 2026, 22:36
79,793
-170
16 Sept 2026, 13:15
79,963
-94
14 Sept 2026, 16:17
80,057
-88
13 Sept 2026, 03:00
80,145
-160
11 Sept 2026, 02:00
80,305
-121
8 Sept 2026, 01:56
80,426
-150
4 Sept 2026, 19:57
80,576
-57
3 Sept 2026, 06:29
80,633
-81
1 Sept 2026, 22:47
80,714
-63
31 Aug 2026, 23:39
80,777
-83
31 Aug 2026, 00:44
80,860
-71
30 Aug 2026, 00:24
80,931
-115
28 Aug 2026, 23:18
81,046
-22
27 Aug 2026, 22:49
81,068
-44
27 Aug 2026, 01:56
81,112
-50
26 Aug 2026, 03:03
81,162
-92
25 Aug 2026, 03:22
81,254
first reading
Engagement
951 posts held, back to 6 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 132 pages of Telegram’s post history, 20 posts per page.
ERR · 30 days
0.008%
avg views ÷ 77,679 subscribers
Avg views / post
6.0
426 posts measured
Reaction rate
—
this channel exposes no reaction counts
Posts in window
426
of 951 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 11 October 2026
Posts held
951 (6 August 2026 – 11 October 2026)
Views total
2,556
Reactions total
—
Forwards / comments
not exposed by the public surface — not measured, not estimated
Readings taken
11 Oct 2026, 03:11 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
≈3,850
Links
≈3,850
Lifetime counters from Telegram’s own channel header, read 11 October 2026 — not the date at the top of this page, which is when the subscriber count was last read. A count marked ≈ was rounded by Telegram before we ever saw it — t.me prints these counters in full below 1,000 and to three significant figures above, so ≈142,000 means somewhere between 141,500 and 142,499.
Kunjungi toko ini di Shopee! CaTalina Kitchenware Official Shop: https://s.shopee.co.id/3VeM1SVWDz
Showing the 12 most recent of 951 posts we hold for @racunshopeediq. 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.
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.
“PROMO SHOPEE SIDIQ TESTING” (@racunshopeediq), 77,679 subscribers as measured 8 October 2026. Telegram Register, tgregister.com/channel/racunshopeediq.
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.
