Giveaways & airdrops — 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 9 September 2026 and assigned it the closest of 31 fixed categories, at 93% 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 the other topics.
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
6.4 average views per post against 31,212 subscribers — an engagement rate of 0.021%. Across the 21,335 registered channels in the same cohort — 10,000–31,621 subscribers, posting mainly in Russian — the middle half sit between 5.84% and 23.6%, with a median of 12.1%.
What this was computed from
Window
30 days (6 October 2026 – 5 November 2026)
Posts measured
50 of 50 published in the window (50 exact, 0 rounded by Telegram)
Views totalled
322
Mature posts only
0.021% over 49 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 5 November 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
31 measurements spanning 91 days, net -49. 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 31,204–31,267 and does not start at zero.
Measurement log — every subscribers count we have recorded, most recent 20 of 31
Measured (UTC)
Subscribers
Change
5 Nov 2026, 23:45
31,211
-1
1 Nov 2026, 22:04
31,212
-1
31 Oct 2026, 00:28
31,213
-1
25 Oct 2026, 23:05
31,214
-1
23 Oct 2026, 00:26
31,215
-1
19 Oct 2026, 17:26
31,216
-2
17 Oct 2026, 17:29
31,218
-1
16 Oct 2026, 20:18
31,219
-3
15 Oct 2026, 16:55
31,222
-2
13 Oct 2026, 06:38
31,224
-4
9 Oct 2026, 04:20
31,228
-6
4 Oct 2026, 18:17
31,234
-4
27 Sept 2026, 00:17
31,238
-1
19 Sept 2026, 17:59
31,239
-1
15 Sept 2026, 06:00
31,240
-2
11 Sept 2026, 21:00
31,242
-1
9 Sept 2026, 11:41
31,243
-3
6 Sept 2026, 01:16
31,246
-1
3 Sept 2026, 20:40
31,247
-2
2 Sept 2026, 13:39
31,249
first reading
Engagement
102 posts held, back to 5 September 2025 — the reader has not yet reached the start of this channel’s public history, so older posts may sit further back, unread. Read across 158 pages of Telegram’s post history, 20 posts per page.
ERR · 30 days
0.02%
avg views ÷ 31,211 subscribers
Avg views / post
6.1
40 posts measured
Reaction rate
—
this channel exposes no reaction counts
Posts in window
40
of 102 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 4 November 2026
Posts held
102 (5 September 2025 – 4 November 2026)
Views total
245
Reactions total
—
Forwards / comments
not exposed by the public surface — not measured, not estimated
Readings taken
6 Nov 2026, 22:55 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
≈53
Links
≈12,300
Lifetime counters from Telegram’s own channel header, read 6 November 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.
Recent posts
Telegram’s own ‘edited’ marker: 1 of 40 posts held from the last 30 days (2.50%) carried it when this register last read them. The marker says a post was changed after publishing, not what it said before — this register holds the earlier wording only where an edit fell between two of its own reads (see the edit ledger and how it is measured).
АКТУАЛЬНЫЕ, ПРОВЕРЕННЫЕ ГИВЫ В НАШЕМ ОФИЦИАЛЬНОМ КАНАЛЕ 🔥:
ЖМИ ЧТОБЫ ПОСМОТРЕТЬ ВСЕ ГИВЫ СПИСКОМ
АКТУАЛЬНЫЕ, ПРОВЕРЕННЫЕ ГИВЫ В НАШЕМ ОФИЦИАЛЬНОМ КАНАЛЕ 🔥:
ЖМИ ЧТОБЫ ПОСМОТРЕТЬ ВСЕ ГИВЫ СПИСКОМ
АКТУАЛЬНЫЕ, ПРОВЕРЕННЫЕ ГИВЫ В НАШЕМ ОФИЦИАЛЬНОМ КАНАЛЕ 🔥:
ЖМИ ЧТОБЫ ПОСМОТРЕТЬ ВСЕ ГИВЫ СПИСКОМ
ГИВ В ТЕЛЕГРАМ
https://t.me/olushka171180
https://t.me/julmetova
https://t.me/ksyusha_novalife
https://t.me/Brykova_irina_lives
✔️Ожидаемый приход 3.000 подписчиков
✔️ Цена участия 17.000₽
Плановая дата старта: 30 октября
СТАТЬ СПОНСОРОМ ГИВА - @MarlaHack
СТАТЬ СПОНСОРОМ ГИВА - @MarlaHack
СТАТЬ СПОНСОРОМ ГИВА - @MarlaHack
ИНСТАГРАМ ГИВ АЛЕНЫ
https://www.instagram.com/novaya_luna
✔️Ожидаемый приход 3.000 подписчиков
✔️Плановая дата старта 30 октября
✔️ Цена участия 9.000₽
♥️ 1 VIP место на актив 20.000₽
СТАТЬ СПОНСОРОМ ГИВА:
@MarlaHack
@MarlaHack
@MarlaHack
ИМЕННОЙ ПРОЕКТ КСЮШИ В МАХ
https://max.ru/selvhanka_ksusha
При поддержке всех соц.сетей:
Вконтакте сторис с ссылкой на конкурс
https://vk.ru/selchankaksusha
Телеграмм пост
https://t.me/selvhanka_ksusha
Сторис
https://www.instagram.com/selchanka_ksusha
Ожидаемый приход: 1.000 человек на ваши каналы в МАХ
Длительность 5 дней
Цена участия: 12.700₽
СТАТЬ СПОНСОРОМ ГИВА:
@MarlaHack
@MarlaHack
@MarlaHack
Showing the 12 most recent of 102 posts we hold for @givy_v_instagram. 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
Republishes
Channels on the register whose posts this channel has forwarded.
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
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.
Handles this channel named that no longer answer
Dead references
2
handles named in this channel’s posts, vacant today
Evidenced gone
1
we ourselves saw one of these resolve, at some point
Never seen alive
1
vacant every time we have ever looked
@givy_v_instagram named 2 handles that resolve to nothing today. That is a fact about the reference, not necessarily a fact about the handle’s history — see the two groups below.
Most of these may never have existed as a live channel at all. A handle a channel names can be a typo, an aspirational name nobody registered, or a channel that was already gone before this one ever mentioned it. Unless a row below is marked evidenced, all we know is that it references a handle that is not a live channel today — not that anything “died”. How this is measured.
Evidenced gone
We ourselves saw each of these resolve to a real page at some point before it went vacant — a genuine, evidenced change, not an inference from absence.
@selivanovyy named in 7 posts, 8 August 2026 – 31 August 2026 · confirmed gone 5 November 2026 (two independent sightings — see how we confirm a dead handle)evidenced
Never seen alive
References a handle that is not a live channel — we have no record it ever was one.
@dzengan_k named in 5 posts, 8 August 2026 – 15 August 2026
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 5 November 2026 — this
entry's latest reading, not the date you are reading this.
“ГИВЫ ИНСТАГРАМ | ТЕЛЕГРАМ” (@givy_v_instagram), 31,211 subscribers as measured 5 November 2026. Telegram Register, tgregister.com/channel/givy_v_instagram.
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.