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Channel

Бабка знает всё!

@BabkaNews

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

17,123subscribers

-1,933 since we began measuring on 6 August 2026

Risers and fallers across the register · movement among entries of 10,000–31,623.

Register entry

Telegram ID-1001318359138
TypeChannel
Username@BabkaNews
DescriptionЗадать вопрос, прислать новость: @BabkaNewsbot По рекламе: @TBrand_ghost Регистрация: № 4843238982
Created27 April 2021 — measured — cross-checked against a third-party dataset (ext.tg_channel)
First recorded6 August 2026
Last confirmed live11 November 2026
Measurements held65
Confirmed unchanged1 time, most recently 11 November 2026
On Telegramt.me/BabkaNews

Topic

National news — 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 58% 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 12 other registered channels. This entry also sits inside a group of 234 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 (6 of the pairs behind the counts below)
Posted firstThenOverlapGap
@bbbreaking/23588017 Aug 2026, 08:40 UTC@BabkaNews/148505 · this entry17 Aug 2026, 16:15 UTC1.007.6 hours
@bbbreaking/23591717 Aug 2026, 14:02 UTC@BabkaNews/148515 · this entry17 Aug 2026, 20:03 UTC1.006.0 hours
@bbbreaking/23684431 Aug 2026, 06:05 UTC@BabkaNews/149455 · this entry31 Aug 2026, 11:15 UTC1.005.2 hours
@bbbreaking/23685631 Aug 2026, 07:50 UTC@BabkaNews/149457 · this entry31 Aug 2026, 12:03 UTC1.004.2 hours
@bbbreaking/2414363 Nov 2026, 05:45 UTC@BabkaNews/153820 · this entry3 Nov 2026, 11:34 UTC1.005.8 hours
@bbbreaking/2414453 Nov 2026, 06:50 UTC@BabkaNews/153856 · this entry3 Nov 2026, 20:31 UTC1.0014 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
@bbbreaking175 (8/8 hand-verifiable sample passed)1.005.5 hours@bbbreaking (175–0)
@shtormzz22 (8/8 hand-verifiable sample passed)1.0013 hours@shtormzz (21–1)
@mountshow22 (8/8 hand-verifiable sample passed)1.007.6 hours@mountshow (15–7)
@ssigny21 (8/8 hand-verifiable sample passed)0.987.5 hours@ssigny (21–0)
@KremlinRussian21 (8/8 hand-verifiable sample passed)0.994.7 hours@KremlinRussian (20–1)
@donbass24_720 (8/8 hand-verifiable sample passed)1.0015 hours@donbass24_7 (20–0)
@rizaya_boroda14 (8/8 hand-verifiable sample passed)1.003.1 hours@rizaya_boroda (13–1)
@wagner_svodki13 (8/8 hand-verifiable sample passed)1.008.4 hours@wagner_svodki (12–1)
@toporlive13 (8/8 hand-verifiable sample passed)0.949.1 hours@toporlive (13–0)
@ivan_utenkov1311 (8/8 hand-verifiable sample passed)0.9912 hours@ivan_utenkov13 (11–0)
@firstinform110 (8/8 hand-verifiable sample passed)0.999.7 hours@firstinform1 (7–3)
@svezhesti9 (8/8 hand-verifiable sample passed)1.0012 hours@svezhesti (9–0)

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. 570 of the 571 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 1,022 comparable posts for this entry, running 5 August 2026 to 12 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 234 channels, the one whose matching posts we hold earliest is @mash. That channel is not among the channels listed above, so this entry may share no posts with it and this does not say where this entry’s content came from. It is a statement about our reading window, not a claim of authorship.

Recorded under the keys clone_copy · clone_mutual · clone_source, last confirmed 13 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 234 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.

Mash
@mash · Channel
3,140,033 subscribers
Мир сегодня с "Юрий Подоляка"
@yurasumy · Channel
2,661,091 subscribers
Раньше всех. Ну почти.
@bbbreaking · Channel
1,975,202 subscribers
СОЛОВЬЁВ
@solovievlive · Channel
1,113,787 subscribers
ЗАРУБИН
@zarubinreporter · Channel
452,047 subscribers
АДЕКВАТ Z
@politadequate · Channel
261,849 subscribers
Срочно, Сейчас
@srochnow · Channel
228,528 subscribers
Владимир Мединский
@vr_medinskiy · Channel
202,618 subscribers
Апти Алаудинов «АХМАТ»
@AptiAlaudinovAKHMAT · Channel
199,660 subscribers
Батальон "ШРАМА" 204 полк СпН "АХМАТ"
@specnazahmat · Channel
167,223 subscribers
Вася на сене
@vasya_nasene · Channel
129,048 subscribers
Караульный Z
@karaulny · Channel
119,845 subscribers
Kremlin_Russian
@KremlinRussian · Channel
101,784 subscribers
MDK.txt
@txt_mdk · Channel
92,914 subscribers
Лекторий Dостоевский
@dostoevsky_fm_dostoverno · Channel
78,532 subscribers
Зов Аида
@z0vAida · Channel
64,180 subscribers
Новости Брянска
@barakholka32 · Channel
63,756 subscribers
История.РФ
@rf_history · Channel
58,000 subscribers
MountShow
@mountshow · Channel
55,702 subscribers
Подслушано Клинцы (region_32)
@klintsyregion_32 · Channel
52,677 subscribers
Павел Онищенко НОВОСТИ
@Onishchenko001 · Channel
51,183 subscribers
Петр Толстой
@petr_tolstoy · Channel
50,148 subscribers
БАГДАСАРОВ
@sbagdasarov · Channel
47,570 subscribers
Настоящий Типичный Брянск
@tipical32 · Channel
46,408 subscribers
Ирина Елифёрова Z
@PravdaEliferova · Channel
44,107 subscribers
СМОТРИ
@smotri_media · Channel
44,097 subscribers
ЕРМосква
@ermoscow · Channel
41,760 subscribers
Марина Юденич
@yudenich · Channel
40,099 subscribers
ТКАЧЁВА. ЛИЧНОЕ❤️
@tkacheva_lichnoe · Channel
38,772 subscribers
ПОСОБИЯ. buh_expert
@buh_exspert · Channel
33,592 subscribers
Игорь Молотов 🇮🇶 «АХМАТ»
@molotov_akhmat · Channel
27,695 subscribers
Новозыбков FOX
@Fox_News_Novozybkov · Channel
23,116 subscribers
ВОЕННЫЙ КОНСУЛЬТАНТ
@MilitaryConsultant · Channel
22,254 subscribers
Агрегатор №1
@agromsk · Channel
21,774 subscribers
ГОВОРИТ ТКАЧЁВА
@govorit_tkacheva · Channel
17,485 subscribers
Дмитрий Саймс
@DmitriySimes · Channel
17,014 subscribers
СОЛОВЬЕВ LIVE ЛАЙФ
@slovievlive · Channel
14,365 subscribers
Егор Ковальчук
@E_V_Kovalchuk · Channel
13,443 subscribers
Донтел
@dontel_dpr · Channel
11,469 subscribers
БОРОДА
@rizaya_boroda · Channel
9,732 subscribers
🏴‍☠️Бунтарь
@buntariy · Channel
9,072 subscribers
СВР ФОНД
@svrfond · Channel
8,967 subscribers
Типичные Клинцы
@tipical_klintsy · Channel
8,937 subscribers
Новости СВО / специальная военная операция/ война, россия, украина
@ZaconAndPravo · Channel
8,878 subscribers
Наталья Хим - Максимус. Скандалы,интриги,расследования. Гум.помощь. Новороссии - быть.
@natalia_maximus_ZOV · Channel
8,561 subscribers
Телеграммы от Лисиченко
@StLis · Channel
8,253 subscribers
Канал Форт
@south_fort · Channel
7,999 subscribers
Казань Онлайн | Татарстан
@kazanab · Channel
7,901 subscribers
Третья мировая война
@mirovajavoina · Channel
7,626 subscribers
По'острее
@po_ostree · Channel
7,609 subscribers

183 more channels are in this same group but not listed individually here.

Growth

17,11719,05618,086.517,1236 August 202611 November 2026
65 measurements spanning 98 days, net -1,933. 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 16,826–19,347 and does not start at zero.
Measurement log — every subscribers count we have recorded, most recent 20 of 65
Measured (UTC)SubscribersChange
11 Nov 2026, 18:5017,123+6
9 Nov 2026, 20:5017,117-7
8 Nov 2026, 12:5917,124-5
7 Nov 2026, 08:4617,129+3
6 Nov 2026, 09:4717,126+3
5 Nov 2026, 10:3017,123-4
4 Nov 2026, 10:4117,127+5
3 Nov 2026, 10:4617,122-7
2 Nov 2026, 14:0517,129+2
1 Nov 2026, 10:5917,127-2
31 Oct 2026, 08:1117,129-28
30 Oct 2026, 08:3617,157-6
29 Oct 2026, 06:0817,163-4
28 Oct 2026, 03:5617,167+4
27 Oct 2026, 03:5717,163-3
26 Oct 2026, 04:1717,166-6
25 Oct 2026, 07:4617,172+7
24 Oct 2026, 05:3017,165-5
23 Oct 2026, 02:3817,170-3
22 Oct 2026, 05:1017,173first reading

Engagement

1,152 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 76 pages of Telegram’s post history, 20 posts per page.

ERR · 30 days
6.11%
avg views ÷ 17,123 subscribers
Avg views / post
1,050
361 posts measured
Reaction rate
2.50%
reactions ÷ views · ER floor
Posts in window
361
of 1,152 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. It is computed over the 346 of 361 measured posts that carry a reaction reading, and over those same posts' views.

What these figures were computed from
WindowRolling 30 days · latest post in window 13 November 2026
Posts held1,152 (5 August 2026 – 13 November 2026)
Views total377,670
Reactions total9,305
Forwards / commentsnot exposed by the public surface — not measured, not estimated
Readings taken13 Nov 2026, 05:21 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
≈81,000
Videos
≈41,600
Links
≈8,970

Lifetime counters from Telegram’s own channel header, read 13 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
3h 05m
Average length
41s

Measured directly from 269 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

30,100 reactions across 962 posts, in 48 distinct kinds. The most used accounts for 11.2% of them.

Every reaction kind recorded on the sample, most used first
ReactionCountShareShare, drawn
👍3,36111.2%
😁2,4398.10%
🤡2,3147.69%
🤬2,1677.20%
🙏1,9596.51%
❤1,7265.73%
🔥1,6495.48%
😱1,5665.20%
🤣1,5595.18%
💊1,2144.03%
💩9323.10%
🖕8642.87%
🥱7282.42%
custom 54543194103260278197242.41%
😢6832.27%
👏6192.06%
🤮5561.85%
🤷‍♀5381.79%
🤔4551.51%
🥰4551.51%
28 further kinds3,59211.9%

Custom emoji. One row above is a Telegram custom emoji, which the public preview renders as an element carrying only a numeric id — no character, and no image we can reach. The id is printed as-is rather than substituted with a look-alike glyph, because a stand-in would be our invention showing where a measurement should be. The count beside it is Telegram’s.

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 969 of the 1,000 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 30,100 reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.

Measured over the 1,000 most recent posts we hold (the sample is capped at 1,000), published 10 August 2026 to 13 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.

Recent posts

Telegram’s own ‘edited’ marker: 1 of 361 posts held from the last 30 days (0.277%) 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).

13 Nov 2026, 05:02 UTC220 views7 reactionsread 13 November 2026
Photo

🇷🇺Более 25 тысяч чиновников привлекли к уголовной ответственности в РФ за коррупционные преступления в 2025-2026 годах, — Генпрокуратура. За этот период по делам о коррупции было арестовано имущество на 680 млрд рублей.

🤬4custom 54543194103260278192😁1

13 Nov 2026, 04:01 UTC596 views23 reactionsread 13 November 2026
Photo

🤡Создатель «Масяни» иноагент Олег Куваев пожаловался: Украина не показывает его мультфильмы, спонсоров не хватает. В комментариях у него спросили, зачем надо было превращать мультсериал в политику, и напомнили, что русофобия плохо оплачивается: «Перешёл мальчиш-плохиш в буржуинство, думал, ждёт его там бочка варенья и корзина печенья, как в сказке Гайдара. А потом оказалось, что буржуинству он не нужен». Остальные…

👍11💩6🤡5😈1

13 Nov 2026, 03:00 UTC781 views12 reactionsread 13 November 2026
Video

🇪🇺 «Хорошо, что Еврокомиссию не пустили на переговоры, иначе она снова выстрелила бы нам в колено» — евродепутат ▪️Немецкий депутат Европарламента Александр Зелль поддержал отсутствие представителей ЕС на трёхсторонних переговорах России, США и Украины в Абу-Даби. ▪️По его мнению, вместо подготовки 22-го пакета антироссийских санкций Брюсселю необходимо разработать реалистичный мирный план совместно с Москвой и Киев…

🤣7❤4🤡1

13 Nov 2026, 02:04 UTC809 views8 reactionsread 13 November 2026
Photo

👀33 года в кресле гендиректора Nvidia закончились отставкой из-за двух любовниц Дженсен Хуанг споткнулся не о конкурентов и не о дефицит чипов, а о классическую «медовую ловушку». Бессменный лидер техногиганта покинул пост на фоне шпионско-любовного скандала. Акции Nvidia тут же рухнули на 14%, а сама корпорация в считаные дни потеряла сотни миллиардов долларов рыночной стоимости. На Уолл-стрит отставку называют ро…

🥱5❤2🥴1

13 Nov 2026, 01:00 UTC853 views6 reactionsread 13 November 2026
Video

☂Дождь из птичьего г💩вна накрыл Италию — скворцы уже несколько недель какают на тротуары и дороги в Риме из-за осенней миграции. Пешеходы не выходят из дома без зонтов, а автомобили покрываются толстым слоем г💩вна. На фоне фекальных бомбардировок автомойки резко подняли цены.

🙈4😈2

13 Nov 2026, 00:03 UTC890 views19 reactionsread 13 November 2026
Photo

🇺🇦 «Почему бы Украине не стать союзником России и не пойти вместе против Европы?» — украинский волонтёр Тарас Чмут ▪️В интервью эстонскому изданию Postimees известный украинский волонтёр Тарас Чмут допустил гипотетический сценарий сближения Киева с Москвой, если западные союзники вынудят Украину пойти на серьёзные территориальные уступки. ➖️️️️️️️«Если единственным принципом является сила, то можно цинично спросить:…

💊12🤡6👌1

12 Nov 2026, 23:00 UTC947 views11 reactionsread 13 November 2026
Photo

💎На аукционе в Женеве за 4,9 млн долларов продали браслет с сапфиром дома Романовых, сообщили представители Sotheby’s. Камень весом почти 198 карат установлен на браслет, украшенный бриллиантами и горным хрусталём. До продажи лот оценивался примерно в 1-2 млн долларов. Сапфир в бриллиантовой оправе работы Фаберже носила вдовствующая императрица Мария Фёдоровна, супруга Александра III. Свой нынешний вид браслет прио…

🔥11

12 Nov 2026, 22:01 UTC≈1,060 views32 reactionsread 13 November 2026
Video

🫣Парк культуры и отдыха.

🙈15🔥7😢7😁3

12 Nov 2026, 21:01 UTC≈1,230 views27 reactionsread 13 November 2026
Video

🇰🇿Восемь чемоданов с долларами выбросили из окон в Астане во время задержания топ-менеджеров Утром там задержали топ-менеджеров двух крупнейших госкомпаний страны по подозрению в коррупции. После этого рядом с местом задержания были обнаружены 8 чемоданов с банкнотами Речь идёт о председателях правления Фонда национального благосостояния «Самрук-Казына» Нурлане Жакупове и Казахстанской железной дороги Елжасе Отынши…

👀21😁6

12 Nov 2026, 20:33 UTC≈1,350 views22 reactionsread 13 November 2026
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😴«У россиян набирает популярность необычный вид отдыха»: Спрос на «сонный туризм» в России увеличился на 25% за год. «Сонный туризм становится все популярнее, число бронирований посуточного жилья с этой целью вырос в России на 25% за год. Не у всех есть время и силы на длительные поездки, многие, чтобы быстро перезагрузиться и восстановиться, арендуют комфортабельное жилье на один-два дня в своем или соседнем городе…

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12 Nov 2026, 20:00 UTC≈1,420 views17 reactionsread 13 November 2026
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🇫🇷Украина больше не получит поддержки от США Об этом заявил Эммануэль Макрон. По его словам, Вашингтон теперь сосредоточен прежде всего на посредничестве в переговорах, а основная нагрузка по помощи Киеву легла на Европу и других союзников. «Без европейцев у Украины больше нет поддержки. Давайте будем честны», – сказал президент Франции. Среди тех, кто продолжает помогать Киеву, он также назвал Канаду, Австралию и…

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12 Nov 2026, 19:34 UTC≈1,520 views38 reactionsread 13 November 2026
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🇺🇦🇩🇪У заводов BMW и Škoda в Германии начались трудности из-за ударов по предприятиям Kromberg & Schubert на Украине. Оттуда поставляли кабельные жгуты, сообщает газета Handelsblatt. Их нехватка помешала производству электромобилей Enyaq и Elroq от Škoda. А BMW пришлось отменить смены на заводах в Регенсбурге, Лейпциге и Оксфорде. По данным Минобороны, предприятие производителя автокомпонентов Kromberg & Schubert за…

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Showing the 12 most recent of 1,152 posts we hold for @BabkaNews. 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

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 4 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.

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.

Пролетарии всех стран
@proletariyi · 25,539
Telegram ranks this channel #6 of 85 here — alongside 84 others — read 13 September 2026
Бабка на лавке
@babkalavka · 68,378
Telegram ranks this channel #13 of 87 here — alongside 86 others — read 20 August 2026
Тот самый Олень🦌
@trueolen · 134,327
Telegram ranks this channel #81 of 91 here — alongside 90 others — read 3 September 2026

This channel appears in 3 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 11 November 2026 — this entry's latest reading, not the date you are reading this.

“Бабка знает всё!” (@BabkaNews), 17,123 subscribers as measured 11 November 2026. Telegram Register, tgregister.com/channel/BabkaNews.

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.