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Channel

𝑺𝒂𝒎𝒂𝒓𝒔𝒌𝒂 🇺🇦

@sam_svit

On this record: Topic · Observations · Channels linked by matching posts · Growth · Engagement · What this channel posts · Reactions · Stars · Posts · Posts edited after publishing · Citations · Telegram's recommendations · Cite this entry

8,679subscribers

+75 since we began measuring on 6 August 2026

Risers and fallers across the register · movement among entries of 3,162–10,000.

Register entry

Telegram ID-1001895970510
TypeChannel
Username@sam_svit
Description«Є думка, пов'язана з войнами, яка викликає лють. Що зрадники стануть героями, коли всіх героїв вб'ють»
Created26 May 2023 — measured — cross-checked against a third-party dataset (ext.tg_channel)
First recorded6 August 2026
Last confirmed live9 November 2026
Measurements held25
Confirmed unchanged1 time, most recently 9 November 2026
On Telegramt.me/sam_svit

Topic

Politics & activism — 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 11 September 2026 and assigned it the closest of 31 fixed categories, at 97% 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.

Content that also appears on other registered channels

Posts published here appear in near-verbatim form on 3 other registered channels. This entry also sits inside a group of 4 channels linked by matching posts, directly or through other channels in the group; two members of the group may share no posts with each other. The matching is on the text itself, not on Telegram’s forward marker, so it finds a copy whether or not it was labelled as one.

Matching posts — open both and compare (3 of the pairs behind the counts below)
Posted firstThenOverlapGap
@sam_svit/12317 · this entry8 Nov 2026, 11:00 UTC@LapinFromUkraine/170629 Nov 2026, 09:04 UTC1.0022 hours
@sam_svit/11843 · this entry27 Aug 2026, 17:38 UTC@LapinFromUkraine/1579828 Aug 2026, 08:13 UTC0.9915 hours
@sam_svit/11658 · this entry4 Aug 2026, 19:30 UTC@LapinFromUkraine/154755 Aug 2026, 14:03 UTC0.9619 hours
Channels this entry shares post bodies with, where at least one matching post pair has no forward credit between the two channels, or to a common source, recorded in our data
ChannelMatching postsText overlapTypical gapPublished first
@dmytro_chekalkyn39 (8/8 hand-verifiable sample passed)1.005.8 hoursthis entry (38–1)
@LapinFromUkraine6 (6/6 hand-verifiable sample passed)0.9917 hoursthis entry (6–0)
@putch1117 (7/7 hand-verifiable sample passed)1.002.8 hoursthis entry (5–2)

Text overlap is the Jaccard coefficient over the set of distinct three-word phrases in the two bodies: 1.00 is identical wording, and the threshold for counting a pair at all is 0.70. Candidates are generated by simhash LSH (4 x 16-bit bands, exact Hamming <= 3) verified against the bodies with Jaccard over the SET of distinct 3-word shingles. Published first counts which side of each matching pair carries the earlier timestamp — in this corpus, which is the limitation directly below.

What this cannot establish

MEASURED, DOMINANT ERROR SOURCE: a post ingested before 2026-08-06 may have carried a forward header that was not recorded. A 45-pair hand-check against live t.me pages found 14 (31%) where the live page shows a forward header naming the other channel and the database has none, plus 4 more (9%) naming a third party. The text match itself was wrong 0 times out of 45. Read attribution_capture.items_in_trusted_window before treating the unattributed count as a claim.

Telegram lets a channel forward a post with a header naming the source, and we only began reliably recording that header on 2026-08-06. None of the 0 matches recorded here fall after that date, so for this entry we cannot say whether any of them carried a credit. The duplication is measured; the absence of attribution is not.

“Published first” means first in this corpus. We hold 155 comparable posts for this entry, running 3 August 2026 to 10 November 2026. A channel we have read one page deep will look younger than a neighbour we have read in full, and the order would flip with no change in the underlying facts.

The detector’s own notes on this observation, as it recorded them. Names in this_style are fields of the underlying evidence record, which the plain-English paragraphs above read out for this entry.

  • Verbatim republication has three causes and the text separates only two: a clone/mirror, unattributed copy-paste, or BOTH channels copying a common third source that neither attributes. The spread filter (content held by at most 8 channels) reduces the third and does not remove it.
  • 'Earliest' means earliest IN THIS CORPUS. A channel ingested one page deep will look younger than a neighbour ingested in full; corpus_coverage above is there to be checked before the direction is believed.
  • shared_verified_est extrapolates the sampled pass rate over the full narrow match count; sampled/passed are the numbers actually measured.
  • Absence of a forward header is not proof of intent: Telegram lets a channel disable forward attribution, and a credit written in the body is not parsed as attribution here (mention_edge_either_way above is the closest available signal).

Of the group of 4 channels, the one whose matching posts we hold earliest is @dmytro_chekalkyn. That is a statement about our reading window, not a claim of authorship.

Recorded under the keys clone_mutual · clone_source, last confirmed 11 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.

Channels linked by matching posts

This channel is in a group of 4 registered channels linked by matching posts, directly or through other channels in the group. This channel may share no posts with some of the channels listed below, and listed channels may share none with each other. Links are found by comparing text fingerprints across every channel on the register.

Which channel, if either, published first is deliberately not shown in this list. “First” could only mean first in our own crawl, which depends on how deep we happened to reach into each channel’s history, not on when the content was actually first posted. Our one hand-check read 45 of the highest-confidence flagged pairs against the live Telegram pages. In 18 of them the live page showed a “Forwarded from” credit that our database had no record of, so reading that pair as an unattributed copy was wrong; the check did not measure who published first. This list is ordered by subscriber count, the same as every other listing on this site, never by which channel we think came first. Near-verbatim matching has several ordinary explanations besides copying — a channel mirroring itself, an unattributed repost, or two channels independently repeating the same wire story — and this measurement cannot tell those apart. How this is measured.

Growth

8,6048,7128,6586 August 2026 — 8,604 subscribers7 August 2026 — 8,604 subscribers9 August 2026 — 8,619 subscribers12 August 2026 — 8,633 subscribers16 August 2026 — 8,651 subscribers18 August 2026 — 8,646 subscribers21 August 2026 — 8,642 subscribers25 August 2026 — 8,654 subscribers28 August 2026 — 8,652 subscribers30 August 2026 — 8,662 subscribers2 September 2026 — 8,655 subscribers7 September 2026 — 8,661 subscribers11 September 2026 — 8,674 subscribers16 September 2026 — 8,678 subscribers30 September 2026 — 8,712 subscribers7 October 2026 — 8,709 subscribers13 October 2026 — 8,702 subscribers16 October 2026 — 8,699 subscribers19 October 2026 — 8,690 subscribers22 October 2026 — 8,683 subscribers28 October 2026 — 8,679 subscribers31 October 2026 — 8,678 subscribers3 November 2026 — 8,674 subscribers6 November 2026 — 8,670 subscribers9 November 2026 — 8,679 subscribers8,6796 August 20269 November 2026
25 measurements spanning 95 days, net +75. 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 8,588–8,728 and does not start at zero.
Measurement log — every subscribers count we have recorded, most recent 20 of 25
Measured (UTC)SubscribersChange
9 Nov 2026, 12:408,679+9
6 Nov 2026, 01:218,670-4
3 Nov 2026, 05:388,674-4
31 Oct 2026, 16:008,678-1
28 Oct 2026, 14:158,679-4
22 Oct 2026, 06:378,683-7
19 Oct 2026, 10:098,690-9
16 Oct 2026, 06:558,699-3
13 Oct 2026, 12:498,702-7
7 Oct 2026, 11:408,709-3
30 Sept 2026, 21:178,712+34
16 Sept 2026, 00:418,678+4
11 Sept 2026, 20:588,674+13
7 Sept 2026, 10:378,661+6
2 Sept 2026, 10:248,655-7
30 Aug 2026, 15:498,662+10
28 Aug 2026, 02:348,652-2
25 Aug 2026, 05:288,654+12
21 Aug 2026, 23:378,642-4
18 Aug 2026, 22:588,646first reading

Engagement

201 posts held, back to 3 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 43 pages of Telegram’s post history, 20 posts per page.

ERR · 30 days
36.5%
avg views ÷ 8,679 subscribers
Avg views / post
3,160
59 posts measured
Reaction rate
13.4%
reactions ÷ views · ER floor
Posts in window
59
of 201 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
WindowRolling 30 days · latest post in window 10 November 2026
Posts held201 (3 August 2026 – 10 November 2026)
Views total186,733
Reactions total24,985
Forwards / commentsnot exposed by the public surface — not measured, not estimated
Readings taken11 Nov 2026, 00:15 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
≈7,000
Videos
≈2,830
Links
≈2,210

Lifetime counters from Telegram’s own channel header, read 11 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.

Video runtime
38m 05s
Average length
1m 11s

Measured directly from 32 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.

Reaction mix

86,332 reactions across 193 posts, in 19 distinct kinds. The most used accounts for 43.8% of them.

Every reaction kind recorded on the sample, most used first
ReactionCountShareShare, drawn
💯37,82443.8%
🤬12,11414.0%
👍9,29710.8%
❤8,1419.43%
😢7,3268.49%
💔3,5604.12%
🤮3,0393.52%
🔥1,4431.67%
😱1,1711.36%
🤡8480.982%
🙈4520.524%
😁4240.491%
🤝3370.39%
🤔1960.227%
🤷‍♂470.054%
🥰390.045%
🖕380.044%
👎270.031%
🍾90.01%

No sentiment is inferred, and none should be read in. This table is ordered by count and by nothing else. Emoji do not carry stable meaning across languages or communities — 🙏 is thanks in one channel and mourning in another — so we publish which ones were pressed and how often, and pass no judgement on what an audience meant by them.

Precision. Telegram publishes reaction counts per emoji and short-forms each one — 4.34K, 1.2M — so any single kind at or above 1,000 reaches us at three significant figures, and only counts below 1,000 are exact. The shares above are ratios of those figures and carry the same error. This is also why the total here can differ slightly from a reaction total printed elsewhere on the page: both are sums of the same rounded parts, taken over samples with different edges.

Coverage. Reactions were read on 201 of the 201 sampled posts in this sample. Summed by Telegram’s own count on each post — not by adding up the per-emoji breakdown above — those same posts carry 89,796 reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.

Measured over the 201 most recent posts we hold, published 3 August 2026 to 10 November 2026, using the newest reading held for each. Telegram Stars are excluded: they are a payment, not a reaction, and they have their own section.

Telegram Stars

Stars received
128
across the posts below
Posts paid on
51
of 201 we hold a reading for · 25%
Most on one post
13
single highest reading

A paid reaction is a reader spending Telegram Stars — bought with money — on a post by @sam_svit. Telegram publishes the count on the public post preview alongside ordinary reactions, and this register reads it there. It is the only figure on this site that measures money moving rather than attention.

Stars are not reactions, and the two are never added. They are rendered in the same strip on Telegram and counted in the same shape, but one is a tap and the other is a purchase. The reaction totals and the engagement rate elsewhere on this page exclude every figure in this section, and no rate here is computed against a reaction count.

This is not revenue, and we publish no currency figure. What a Star costs a reader and what it pays a channel are different numbers, Telegram takes a share we cannot observe, and the terms have changed. Converting a Star count into money would be an estimate dressed as a measurement, so the count is where we stop.

Counted over the 201 most recent posts we hold for this entry, published 3 August 2026 to 10 November 2026. Star counts above 1,000 reach us in Telegram’s short form and carry the same three-significant-figure rounding as everything else on this page.

Recent posts

Telegram’s own ‘edited’ marker: 6 of 59 posts held from the last 30 days (10.2%) 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).

10 Nov 2026, 21:29 UTC723 views157 reactionsread 11 November 2026
Video

📣 Такий рівень людської деградації шокує і лякає. Цікаво, як сприймають такі відео за кордоном?

💯120🤬26🤮6😁3❤1🙈1

10 Nov 2026, 20:05 UTC≈1,150 views334 reactions1 Starread 11 November 2026

📣 Розкажу історію, яку щойно почула, - не одній же мені плакати)) Колеги з фонду, у якому я працювала (та й досі до нього прив’язана, бо це унікально чесне й чисте місце), розповіли про поїздку в крихітні села. Жителів там всього кілька сотень. А тамтешній авторитет - у хорошому сенсі - священник родом із Молдови. Україну він дуже любить, і на початку повномасштабного вторгнення тягнув сюди з-за кордону все, що міг.…

💯316❤13🔥3🤡2

10 Nov 2026, 18:30 UTC≈1,310 views158 reactions1 Starread 11 November 2026
Video

📣 https://youtu.be/FczLVFB5k9g

👍133❤22🤝3

10 Nov 2026, 15:07 UTC≈1,510 views273 reactions1 Starread 11 November 2026
Photo

📣 Друзі, запрошую! Пан Тарас Чорновіл погодився на розмову, і я готую питання про «Карфаген» і перемовини в Абу-Дабі, про повернення Куницького і наші європейські перспективи… Кожну розмову з паном Тарасом я сама слухаю кілька разів… ❗️Отже, о 19.30! Дякую заздалегідь! ➡️ https://youtu.be/FczLVFB5k9g

👍210❤38💯15🔥6😁3🤮1

10 Nov 2026, 12:55 UTC≈1,540 views164 reactions1 Starread 11 November 2026

⤵️⤵️⤵️ 📣 https://youtube.com/shorts/HA_TZWV9Qak?si=HrPLDcxXWEWNUmiy

👍120🤬29🙈8😱4❤2🤡1

10 Nov 2026, 08:13 UTC≈1,530 views339 reactionsread 11 November 2026
Photo

‼️Відпочивали разом за кордоном: фігуранти справи "Карфаген" виявилися давніми знайомими, - "Слідство.Інфо" Фігуранти справи "Карфаген" — Віталій Рибалко (Боксер), поліцейський Олександр Дем’янчук (Консультант) та Андрій Осіпов (Кримінал) — виявилися давніми знайомими. Про це свідчать світлини, які журналісти "Слідства.Інфо" знайшли на сторінці Рибалки у російській соцмережі "ВКонтакте". Як з’ясували журналісти, у…

🤬308🤮17❤6😱5👍2😁1

10 Nov 2026, 06:55 UTC≈1,980 views501 reactionsread 11 November 2026
Photo

📣 Вночі запитувала Ші, чому ця корумпота - таке когутьйо і рагульйо. І для прикладу взяла фото з новітніх обшуків. Увага! Відповідь Ші: «На зображенні показано інтерʼєр кімнати «Будуар королеви» в першому в Україні готелі для дорослих та рольових ігор. Характерні деталі кімнати: червоні візерункові шпалери та масивне ліжко з розкішним балдахіном, білі декоративні колони та темна паркетна підлога, класичні золотисті…

💯414🤬60🤷‍♂9😁6😱4🙈4❤3👎1

9 Nov 2026, 14:55 UTC≈6,470 views512 reactionsread 11 November 2026
Photo

📣 Коли ж це дно? Дно коли буде, у яке перестануть знизу стукати? «Брат Михайла Подоляка загинув на війні проти України» - Главком. «Володимир Подоляк, старший брат Михайла Подоляка, на надгробному портреті у формі російського полковника. Фото - Killed in Ukraine. Він служив у російській військовій розвідці. Згідно з оприлюдненими документами, 19 травня 2024 року чоловік загинув під час бойових дій у Запорізької обла…

🤮243💯201🤬53🔥5❤4🙈3👍2🤡1

9 Nov 2026, 14:08 UTC≈1,820 views354 reactionsread 11 November 2026
Photo

Владислав Соколов дніпровський бізнесмен, за даними слідства, з ним пов'язані компанії «Сталь Плюс» і «ТД Тризуб», які постачали метал підрядникам для зведення захисту на енергооб'єктах. Компанії фігурують у 25 державних контрактах на загальну вартість 1,89 млрд грн. Замість ефективних антидронових та протиракетних укриттів і саркофагів на підстанціях, кошти інвестувалися в ультра-люксовий спосіб життя. Під час обшу…

🤬320😱21🔥6🤮4❤3

9 Nov 2026, 11:16 UTC≈2,200 views535 reactionsread 11 November 2026
Photo

📣 Віталій Кличко: Щодо нової ідеї центральної влади покращення для Києва. Маю на увазі «безкоштовний» проїзд. Президент доручив премʼєру і програму такого проїзду представити (а значить же, і знайти гроші на неї?), і знайти резерв автобусів. Почну з резерву. Автобуси, щоб додати, у Києва є. ❗️Водіїв немає! Може, їх, як і електриків, наловить поліція?.. Сьогодні (коли електротранспорт не працює) в столиці кількість …

💯480👍24🤬17🔥5❤4💔4🤝1

9 Nov 2026, 08:30 UTC≈1,990 views488 reactions1 Starread 11 November 2026
Photo

📣 - Пане президенте, у вас всі скажено крадуть, кришують наркоторгівлю, колцентри, контрабанду і тяжкі злочини проти фізичних осіб! - Та давайте електриків на Оболонь і Кабміну задачу наріжемо про "безкоштовний проїзд" із бюджету самого Києва. Ги-ги-ги! (з коментарів під новиною про «безкоштовний транспорт» Як же добре він знає свій електорат! Нарід почує слово «шара» - все! Будуть забуті і прощені всі корупційн…

💯463🤬9❤6😢4🤡3🔥2👎1

9 Nov 2026, 07:28 UTC≈2,140 views397 reactionsread 11 November 2026
Photo

📣 Ярослав Железняк: 🗓️ Починається черговий пленарний тиждень після... чергового дуже гучного зашквару влади. Ви думаєте, він почнеться з виклику силовиків у Раду? Чи з закону про реформу ДБР, ОГП, Нацполу чи хоча б достануть з шухляди закон про СБУ? Може хоч чисто для вигляду поставлять антикорстратегію, я вже про наш антикорупційний пакет не говорю.... Ладно, то вже зависокі очікування від влади, яка за 8-м рокі…

💯347🤬37🙈6❤5👍2

Showing the 12 most recent of 201 posts we hold for @sam_svit. 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.

Stars beside a post are paid reactions — Telegram Stars, bought with money and spent on that post. They are a different unit from reactions and are never added to them, here or anywhere else on this page.

Posts edited after publishing

@sam_svit edited 1 post after it first published — the same permalink now carries different wording than the one this register originally read, caught because our own crawl held a copy of the earlier text.

An edit is not deception. Typo fixes, price updates and corrections look exactly like this too — this register can tell you the wording changed and when, not why. How this is measured.

First edit seen
8 August 2026
Most recent edit
8 August 2026

Forward network

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

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.

Appears in Telegram’s recommendations for other channels

The reverse of the list above, and a different kind of signal. This does not require this channel to have ever been asked about directly — each row below is a channel we DID ask Telegram about, whose Telegram-generated list happened to include this one. A channel can appear here with an empty list above it, because being named by someone else’s query is independent of having been queried itself.

Шалений Кіт
@Shaleniy_Kit · 22,628
Telegram ranks this channel #18 of 79 here — alongside 78 others — read 19 September 2026
🇺🇦 Софія Федина
@Sofiya_Fedyna · 23,633
Telegram ranks this channel #18 of 77 here — alongside 76 others — read 15 September 2026
NUSS +
@nusspavlo · 21,106
Telegram ranks this channel #24 of 80 here — alongside 79 others — read 22 September 2026
Тарас Чорновіл 🇺🇦
@Chornovil_official · 45,950
Telegram ranks this channel #24 of 86 here — alongside 85 others — read 27 August 2026
Prozapas
@prozapas77 · 38,994
Telegram ranks this channel #25 of 82 here — alongside 81 others — read 31 August 2026
БРИГИНЕЦЬ🇺🇦
@bryhynets · 23,574
Telegram ranks this channel #29 of 74 here — alongside 73 others — read 17 September 2026
Печера Дракона
@dragonspech · 41,354
Telegram ranks this channel #35 of 80 here — alongside 79 others — read 31 August 2026
Дмитро Чекалкин
@dmitriy_chekalkyn · 45,698
Telegram ranks this channel #35 of 87 here — alongside 86 others — read 27 August 2026
ЗАКРИТА ЗОНА | Володимир АРʼЄВ
@zakrytazona · 42,954
Telegram ranks this channel #36 of 77 here — alongside 76 others — read 30 August 2026
🎉 Вітання 🎉 Привітання та листівки
@pryvitannyalystivky · 29,728
Telegram ranks this channel #41 of 58 here — alongside 57 others — read 7 September 2026
Путч. Русский - нах*й
@putch111 · 32,331
Telegram ranks this channel #42 of 79 here — alongside 78 others — read 7 September 2026
Європейська Солідарність
@officialeurosolidarity · 19,350
Telegram ranks this channel #47 of 80 here — alongside 79 others — read 1 October 2026
Omelyan News
@Omelyan_News · 21,847
Telegram ranks this channel #68 of 83 here — alongside 82 others — read 23 September 2026

This channel appears in 13 seed channels' Telegram-generated recommendation lists in total. Each is Telegram’s list for THAT channel, not this one — see how this is measured.

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 9 November 2026 — this entry's latest reading, not the date you are reading this.

“𝑺𝒂𝒎𝒂𝒓𝒔𝒌𝒂 🇺🇦” (@sam_svit), 8,679 subscribers as measured 9 November 2026. Telegram Register, tgregister.com/channel/sam_svit.

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.