Politics & activism — 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 78% 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 2 other registered channels. This entry also sits inside a group of 14 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 (1 of the pairs behind the counts below)
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
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. 3 of the 3 matches recorded here fall after that date and carried no header when we read them. The rest predate reliable capture and are not evidence either way.
“Published first” means first in this corpus. We hold 205 comparable posts for this entry, running 28 July 2026 to 9 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 14 channels, the one whose matching posts we hold earliest is @nexta_live. 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 14 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.
66 measurements spanning 97 days, net -3,158. 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 100,706–104,812 and does not start at zero.
Measurement log — every subscribers count we have recorded, most recent 20 of 66
Measured (UTC)
Subscribers
Change
10 Nov 2026, 10:34
101,180
-54
8 Nov 2026, 21:47
101,234
-34
7 Nov 2026, 15:21
101,268
-17
6 Nov 2026, 17:56
101,285
-32
5 Nov 2026, 16:05
101,317
-30
4 Nov 2026, 12:39
101,347
-25
3 Nov 2026, 15:19
101,372
-32
2 Nov 2026, 15:26
101,404
-35
1 Nov 2026, 17:27
101,439
-22
31 Oct 2026, 16:56
101,461
-27
30 Oct 2026, 15:28
101,488
-46
29 Oct 2026, 14:00
101,534
-44
28 Oct 2026, 15:28
101,578
-56
27 Oct 2026, 11:46
101,634
-54
26 Oct 2026, 10:51
101,688
-22
25 Oct 2026, 13:00
101,710
-29
24 Oct 2026, 12:54
101,739
-45
23 Oct 2026, 10:27
101,784
-45
22 Oct 2026, 08:19
101,829
-47
21 Oct 2026, 03:20
101,876
first reading
Engagement
214 posts held, back to 28 July 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 196 pages of Telegram’s post history, 20 posts per page.
ERR · 30 days
26.6%
avg views ÷ 101,180 subscribers
Avg views / post
26,900
75 posts measured
Reaction rate
—
this channel exposes no reaction counts
Posts in window
75
of 214 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 10 November 2026
Posts held
214 (28 July 2026 – 10 November 2026)
Views total
2,020,160
Reactions total
—
Forwards / comments
not exposed by the public surface — not measured, not estimated
Readings taken
11 Nov 2026, 05:20 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
≈16,700
Videos
≈6,950
Links
≈5,100
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
41m 45s
Average length
43s
Measured directly from 58 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.
Recent posts
Telegram’s own ‘edited’ marker: 3 of 75 posts held from the last 30 days (4.00%) 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).
Молдова намерена присоединиться к санкциям ЕС против Беларуси и России
Власти прорабатывают механизм секторальных ограничений и рассчитывают принять решение в ближайшее время.
Об этом 9 ноября заявил министр иностранных дел Молдовы Михай Попшой. По его словам, страна уже на 91% согласовала свою санкционную политику с Евросоюзом.
Для полного согласования Молдове предстоит присоединиться к секторальным ограничениям …
В Хорватии перевернулся автобус: погибли два пассажира, пострадала белоруска
Авария произошла утром 8 ноября на автомагистрали А3.
Полицейское управление Загреба сообщило, что автобусом управлял гражданин Сербии. Автобус съехал с дороги, врезался в металлическое ограждение и перевернулся.
Погибли два пассажира. Пятеро получили тяжёлые травмы, ещё 25 — лёгкие; среди легко пострадавших — гражданка Беларуси. Всем ока…
❤️ Годы разлуки: украинская пара наконец встретилась после российской оккупации
68-летний Сергей Рындов провёл четыре с половиной года в оккупированных Олешках Херсонской области. Его жена, 72-летняя Лариса, ещё в 2022 году уехала в Великобританию. Всё это время Сергей оставался дома, переживая голод и обстрелы.
Мужчину удалось эвакуировать во время временного прекращения огня. 5 ноября супруги обняли друг друга в …
Netflix показал белорусского врача с выжженным на спине словом «здраднік»
В Беларуси он был кардиохирургом, а после политзаключения и эмиграции в Польшу вынужден работать уборщиком в больнице. Это Олег Ковалёв, один из героев нового польского сериала «Znieczulenie» («Анестезия»), который вышел 4 ноября.
На спине у врача выжжено слово «здраднік». Его мучают кошмары, а вернуться к операциям он не может, пока не сдаст…
Украинский подросток попал в белорусский приют, пытаясь выехать из оккупации
По сообщению REFORM, 16-летний парень смог воссоединиться с матерью на подконтрольной Украине территории 31 октября.
Подросток жил с отцом в оккупированной части Херсонской области и решил уехать через Беларусь. Белорусские пограничники задержали его после того, как отец заявил о пропаже сына, и отправили в детский приют.
Украинский омбуд…
New Yorker ликвидирует управляющую компанию в Беларуси
Но магазины работают.
В реестре плательщиков компанию «Нью-Йоркер БЛР» указали как находящуюся в процедуре ликвидации.
«Зеркало» сообщает, что магазины сети в Минске, Гродно и Витебске продолжают работать. Официальных заявлений от головного и местного офисов пока не было.
Белорусам в США угрожают передачей данных ICE: что советует Офис Тихановской
Пару дней назад мы рассказывали, что белорусам в США поступают звонки от людей, которые называют себя сотрудниками КГБ. После нашего обращения к советнику Светланы Тихановской по правовым вопросам Леониду Морозову выяснилось, что такой случай не единичный.
В Офисе считают такие угрозы прежде всего попыткой запугивания и советуют сразу сооб…
Мининформ внёс две книги и телеграм-чат в список «экстремистских» материалов
Решение принял суд Партизанского района 29 октября.
В список попали книга И. Анташкевича «Беларусь. Воспоминания о будущем или зов перемен», изданная в России, и «Іх звала Беларусь святая: Да 100-годдзя Усебеларускага з’езда 1917 года» историка Станислава Рудовича и Валерия Герасимова.
Также «экстремистским» признали телеграм-чат «Чат 51 …
Большинство жертв торговли людьми в Беларуси — дети
За три года жертвами торговли людьми в Беларуси признали 1161 человека. 59% из них — дети. Это данные нового доклада экспертов Совета Европы GRETA. Для сравнения: в прошлом докладе доля детей была почти вдвое меньше — 32,5%.
Почти все случаи — 96,6% — связаны с сексуальной эксплуатацией. 86% пострадавших эксплуатировали внутри самой Беларуси.
При этом как торговл…
❤️ Как делать контент, который не пролистают?
NEXTA продлевает набор в бесплатную школу современных медиа.
Почему один ролик собирает сотни тысяч просмотров, а другой исчезает в ленте? Как зацепить человека с первых секунд, найти сильную подачу и превратить сложную тему в понятную историю?
На практике разбираем, как:
🔵находить темы и подавать их так, чтобы они цепляли аудиторию;
🔵писать новости, заголовки, хуки и…
Showing the 12 most recent of 214 posts we hold for @nexta_tv. 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.
Posts edited after publishing
@nexta_tv 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
17 October 2026
Most recent edit
17 October 2026
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 21 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.
Channels Telegram recommends alongside this one
Telegram’s own answer, not this register’s. When this register asks Telegram’s API what is similar to this channel, this is the list it returns, in the exact order Telegram returns it — never re-sorted by subscribers or by anything else this register measures. The relationship, and the order, are Telegram’s; we record them and date them, and make no claim of our own about which of these channels actually resemble this one.
Read from Telegram’s recommendation API, most recently 15 August 2026. Telegram holds a list like this for a small and growing share of the register — how this is measured, and why most channel pages show nothing here.
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.
LUXTA @luxta_tv · 24,231 Telegram ranks this channel #2 of 91 here — alongside 90 others — read 16 September 2026
Чай з малинавым варэннем — Беларусь Новости @belteanews · 28,197 Telegram ranks this channel #4 of 94 here — alongside 93 others — read 9 September 2026
Беларусь головного мозга @belamova · 36,854 Telegram ranks this channel #6 of 96 here — alongside 95 others — read 31 August 2026
Зеркало | Новости @zerkalo_io · 102,331 Telegram ranks this channel #6 of 98 here — alongside 97 others — read 15 August 2026
Реальная Беларусь @RealnaiaBelarus · 19,797 Telegram ranks this channel #7 of 92 here — alongside 91 others — read 29 September 2026
МотолькоПомоги @motolkohelp · 22,408 Telegram ranks this channel #8 of 94 here — alongside 93 others — read 19 September 2026
Хартия-97% @charter97_org · 28,964 Telegram ranks this channel #10 of 96 here — alongside 95 others — read 8 September 2026
NEXTA Live @nexta_live · 766,520 Telegram ranks this channel #21 of 93 here — alongside 92 others — read 8 August 2026
Люстэрка ўлады @MirrorRB · 71,015 Telegram ranks this channel #37 of 95 here — alongside 94 others — read 30 August 2026
МогилевОнлайн @mogilevonline · 18,988 Telegram ranks this channel #40 of 90 here — alongside 89 others — read 4 October 2026
Полк Каліноўскага @belwarriors · 21,654 Telegram ranks this channel #45 of 87 here — alongside 86 others — read 21 September 2026
Onliner @onlinerby · 148,891 Telegram ranks this channel #49 of 89 here — alongside 88 others — read 12 August 2026
Наша Ніва @nashaniva · 22,087 Telegram ranks this channel #50 of 95 here — alongside 94 others — read 21 September 2026
Беларускі Гаюн | Belarusian Hajun project @Hajun_BY · 222,281 Telegram ranks this channel #54 of 87 here — alongside 86 others — read 11 August 2026
🇵🇱Польский консультант @polandconsult · 24,437 Telegram ranks this channel #74 of 89 here — alongside 88 others — read 15 September 2026
новости СВЕРХДЕРЖАВЫ @superpowerru · 26,416 Telegram ranks this channel #78 of 94 here — alongside 93 others — read 29 September 2026
Минсктранс.Международные маршруты @minsktrans_live_ap5 · 20,565 Telegram ranks this channel #81 of 87 here — alongside 86 others — read 26 September 2026
dev.by: главные ИТ-новости Беларуси @devby · 21,524 Telegram ranks this channel #82 of 91 here — alongside 90 others — read 21 September 2026
This channel appears in 18 seed channels' Telegram-generated recommendation lists in total. Each is Telegram’s list for THAT channel, not this one — see how this is measured.
Cross-platform identity — Wikidata
A Wikidata item names this Telegram handle as belonging to the entity it describes. This is Wikidata’s claim, not a verification made by this register — nobody here confirmed that the account is genuinely operated by the entity named. Wikidata content is CC0; every fact below is dated to when it was read from Wikidata, not to when the association was first made there.
This handle named by sources this register does not control and did not measure — each shown exactly as found, attributed by name, dated to when it was read.
Wikipedia
7 Wikipedia articles name this handle in its article text, found by searching for a t.me link inside the article source. A citation is a notability signal, not a verification: nobody here confirmed the cited post is genuine or still says what the article quotes. Article text is CC BY-SA 4.0, Wikipedia contributors; snippets below are short excerpts.
COVID-19 pandemic in Belarus(en.wikipedia.org) “…|archive-date=13 May 2020 |url-status=live }}{{Cite web |url=https://t.me/nexta_tv/3134 |title=NEXTA |access-date=13 May 2020 |archive-date=28 July…” read 1 November 2026
List of Victory Day Parades in Minsk(en.wikipedia.org) “…May 2020 |url-status=live }}{{Cite web|title=NEXTA|url=https://t.me/nexta_tv/3134|access-date=2020-08-24|website=Telegram}}
====On relations…” read 1 November 2026
Nexta(ru.wikipedia.org) “…распространяется через [[Телеграм-канал|Telegram-канал]]{{Cite web |url=https://t.me/nexta_tv |title=NEXTA |website=Telegram |access-date=2021-05-24 |lang=ru…” read 1 November 2026
Путило, Степан Александрович(ru.wikipedia.org) “…государственной границы в отношении блогера нет{{Cite web |url=https://t.me/nexta_tv/204 |title=Ура! Я НЕ оскорблял «Президента Республики Беларусь»…” read 1 November 2026
NEXTA(uk.wikipedia.org) “…каналах [[Telegram]] із загальною назвою NEXTA{{Cite web |url=https://t.me/nexta_tv/1606 |title=NEXTA в других соцсетях и сервисах |accessdate=9 березня…” read 1 November 2026
Путило Степан Олександрович(uk.wikipedia.org) “…«[[Telegram]]» зі загальною назвою [[NEXTA]]{{Cite web |url=https://t.me/nexta_tv/1606 |title=NEXTA в других соцсетях и сервисах |accessdate=11 серпня…” read 1 November 2026
Hacker News
This handle was named 2 times in a Hacker News comment or story, via the public Algolia search API. HN comment and story text has no confirmed reuse licence, so nothing quoted from either is reproduced here — only that a mention exists, when, and by whom, with a link to read it at the source.
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 10 November 2026 — this
entry's latest reading, not the date you are reading this.
“NEXTA” (@nexta_tv), 101,180 subscribers as measured 10 November 2026. Telegram Register, tgregister.com/channel/nexta_tv.
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.