В основном новости. Lenta.ru
По рекламе и сотрудничеству — @smirnoffkan
Проверено @TgPodbor_bot
Предложка — @Lentadnya_connectbot
Мы в Max — max.ru/lentaru
Регистрация в перечне РКН: https://lenta.ru/go/hvqb/
Created
2 October 2017 — measured — cross-checked against a third-party dataset (ext.tg_channel)
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 8 August 2026 and assigned it the closest of 31 fixed categories, at 67% 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.
Growth
63 measurements spanning 93 days, net +53,797. 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 297,124–378,337 and does not start at zero.
Measurement log — every subscribers count we have recorded, most recent 20 of 63
Measured (UTC)
Subscribers
Change
6 Nov 2026, 19:46
360,292
-210
5 Nov 2026, 18:47
360,502
-260
4 Nov 2026, 18:40
360,762
-205
3 Nov 2026, 21:29
360,967
-151
2 Nov 2026, 23:56
361,118
-187
1 Nov 2026, 23:11
361,305
-256
31 Oct 2026, 23:35
361,561
-257
30 Oct 2026, 22:40
361,818
-344
29 Oct 2026, 20:01
362,162
-299
28 Oct 2026, 18:50
362,461
-211
27 Oct 2026, 18:10
362,672
-312
26 Oct 2026, 15:47
362,984
-249
25 Oct 2026, 17:31
363,233
-309
24 Oct 2026, 15:55
363,542
-251
23 Oct 2026, 19:20
363,793
-713
22 Oct 2026, 16:36
364,506
-554
21 Oct 2026, 11:48
365,060
-508
20 Oct 2026, 08:55
365,568
-534
19 Oct 2026, 06:36
366,102
-622
18 Oct 2026, 06:17
366,724
first reading
Engagement
2,489 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 188 pages of Telegram’s post history, 20 posts per page.
ERR · 30 days
3.03%
avg views ÷ 360,292 subscribers
Avg views / post
10,900
812 posts measured
Reaction rate
1.79%
reactions ÷ views · ER floor
Posts in window
812
of 2,489 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 809 of 812 measured posts that carry a reaction reading, and over those same posts' views.
What these figures were computed from
Window
Rolling 30 days · latest post in window 7 November 2026
Posts held
2,489 (5 August 2026 – 7 November 2026)
Views total
8,858,111
Reactions total
158,413
Forwards / comments
not exposed by the public surface — not measured, not estimated
Readings taken
7 Nov 2026, 01:46 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
≈98,200
Videos
≈25,200
Links
≈87,700
Lifetime counters from Telegram’s own channel header, read 7 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
1h 11m
Average length
34s
Measured directly from 125 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
205,058 reactions across 995 posts, in 15 distinct kinds. The most used accounts for 20.2% of them.
Every reaction kind recorded on the sample, most used first
Reaction
Count
Share
Share, drawn
🤡
41,421
20.2%
🤬
28,179
13.7%
❤
27,620
13.5%
👍
24,360
11.9%
🤣
13,803
6.73%
😱
11,089
5.41%
🔥
10,778
5.26%
😁
10,417
5.08%
👎
8,816
4.30%
👏
7,819
3.81%
🤔
7,567
3.69%
😢
6,490
3.16%
😭
5,188
2.53%
😈
893
0.435%
😍
618
0.301%
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 997 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 205,058 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 1 October 2026 to 7 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.
Advertising
Ad load
0.2%
2 of 1,000 posts carry an ad marker
Regulatory tokens
2
posts carrying an erid · 2 distinct tokens
Median views · ads
8,300
over 2 measured posts
Median views · rest
11,200
over 998 measured posts
An ad marker, not a judgement about a post. A post is counted here because it carries one of two explicit markings: an erid token, which Russian law has required on paid placements since 2022 and which is issued against a specific advertising contract, or a #реклама / #ad hashtag in the body, which is the channel declaring it itself. The first is documentary; the second is a self-declaration and is weaker. No classifier reads the text and decides — nothing on this site guesses that a post is an advertisement.
This is a floor, and it can only ever be a floor. A channel that runs paid placements without marking them produces no marker for us to count, and an unmarked ad is indistinguishable from an ordinary post on the public surface. The ad load above therefore means “the share of posts that declared themselves”, never “the share of posts that were paid for”. A low figure is not evidence of a channel that runs few ads.
Both figures are medians, and no ratio between them is published. Each is a view reading that actually occurred on a post, picked by percentile_disc rather than averaged, so one viral post cannot move it and no interpolated value is invented between two readings. The sample on one side is under five posts, which is too thin to compare. The two figures are shown side by side with the count behind each, and deliberately not divided into a headline like “ads get x% fewer views” — an arithmetic that is easy to print and, at this sample size, means nothing.
Advertising tokens recorded on this entry
erid
Posts
First seen
Last seen
2RanykkueWF
1
30 October 2026
30 October 2026
2RanynPeyBS
1
6 November 2026
6 November 2026
A token repeated across several posts is one advertising contract placed more than once, which is what the identifier is for. The strings are reproduced exactly as they appeared in the post or in its click-through URL and are not validated against any registry — we record the marker a channel published, and whether it resolves to a real contract is a question for the register that issued it.
Measured over the 1,000 most recent posts we hold (the sample is capped at 1,000), published 1 October 2026 to 7 November 2026. Views are the latest single reading held for each post, and any reading at or above 1,000 is rounded by Telegram to three significant figures.
Recent posts
Telegram’s own ‘edited’ marker: 86 of 812 posts held from the last 30 days (10.6%) 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).
🇺🇦 Киркорова внесли в базу данных ГУР Украины.
Согласно данным сайта, основаниями для внесения певца в базу послужили его поддержка специальной военной операции, признание Крыма российским, многочисленные концерты для военнослужащих Вооруженных сил РФ, а также посещение Горловки в Донецкой Народной Республике
📲 Подпишись на Ленту дня в Max
🇺🇸 Возле Белого дома задержали венесуэльца, собиравшегося убить Трампа.
В транспорте подозреваемого были найдены штурмовая винтовка в стиле AR-15, два пистолета и десятки патронов.
Сотрудникам Секретной службы мужчина признался, что голоса в его голове приказали ему отправиться в Вашингтон и расправиться с президентом
📲 Подпишись на Ленту дня в Max
🇵🇾 Парламент Парагвая объявил импичмент президенту.
Соответствующее решение принято по итогам голосования.
Крах парагвайского банка Ueno, от которого пострадало около миллиона жителей страны, то есть — примерно 15 процентов всего населения, привел к тому, что кризис из сферы экономики перерос в политический.
Тогда же президент страны Сантьяго Пенья заявил о готовности уйти в отставку
📲 Подпишись на Ленту дня в Ma
👑 Красную дорожку постелили перед туалетом из-за приезда губернатора Оренбургской области.
Село Ивановка очень ответственно подошло к визиту главы региона и позаботилось о том, чтобы дорога к уличной уборной была максимально комфортной.
🤣 — премия «Оскар» нервно курит в сторонке
📲 Подпишись на Ленту дня в Max
Серийного вора стелек школьниц задержали в Японии.
35-летний мужчина начал совершать первые кражи, когда учился в средней школе. Но в последние два года он стал буквально зависим от стелек и постоянно проникал в учебные заведения.
Японец совершал кражи выборочно. Он мог увидеть школьницу в соцсетях и своровать именно её стельки. Однако, по словам одной из жертв, на её шкафчике не было никаких обозначений. Поэтому…
😱 ChatGPT помогал женщине травить мужа.
Сначала жительница США использовала чат-бот для работы, но затем начала обсуждать с ним личные проблемы, в том числе развод. Когда супруги задумались об этом, она испугалась, что муж лишит её денег и детей. А ChatGPT только подкрепил её страхи.
В итоге американка начала спрашивать у чат-бота, чем можно отравить мужчину. Цензура не сработала, и ИИ рассказал ей про препараты, с…
❄️ Россиянам пообещали аномальную зиму.
В ближайшие месяцы погода будет более тёплой, чем обычно.
Все зимние месяцы ожидаются с положительной аномалией температуры воздуха.
рассказала «Ленте.ру» синоптик
📲 Подпишись на Ленту дня в Max
🇬🇧 Изучение английского в школах назвали «подчинением Западу».
По мнению депутата Журавлёва, английский язык уже угрожает суверенитету России. Вместе с языком детям навязывают чужие культуру и ценности, отметил он.
Если по-русски, ну это быдляк, а вот по-английски — ты уже молодец
Парламентарий также рассказал, что проехал всю Европу и принципиально разговаривал только на русском.
👍️️️️️️ — поддерживаю
🤡 — полный…
🥴 Долина накажет компании за использование её имени.
Юристы артистки готовят 18 исков. В частности, они планируют подать в суд на «Бургер Кинг», который в ноябре 2025 года сообщил, что временно исключил из зоны доставки дом Долиной, где была её квартира.
Деньги, которые певица может взыскать, она направит на нужды СВО.
Новая «схема Долиной»? 😁
📲 Подпишись на Ленту дня в Max
👩🍳 Офицер ВСУ притворилась больной ради участия в кулинарном шоу.
Старший лейтенант украинской армии несколько месяцев оформляла больничный, а на деле ездила в Одесскую область и Харьков для участия в шоу «МастерШеф».
Теперь её подозревают в незаконном получении почти 250 тысяч гривен довольствия и уклонении от службы в условиях военного положения
📲 Подпишись на Ленту дня в Max
🍷 Россияне стали чаще покупать розовое вино.
За первые полгода 2026-го его продажи выросли на 7,8%. Также не теряет популярность белое вино, а вот красное покупают реже.
По мнению экспертов, всё из-за изменения предпочтений россиян. Например, женщины всё чаще выбирают более лёгкие и свежие напитки
📲 Подпишись на Ленту дня в Max
❤46🤡9😢4🤔3👍2👎2
Showing the 12 most recent of 2,489 posts we hold for @lentadnya. 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
@lentadnya edited 4 posts 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
21 August 2026
Most recent edit
18 October 2026
Forward network
Republished by
Channels on the register that have forwarded this channel's posts into their own feed.
Republished by 95 registered channels. The 48 listed are the ones that have forwarded the most posts; the rest are counted here but not each listed.
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 237 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. The 24 listed below are the most frequent namers; the rest are counted above but not each listed.
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.
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.
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 6 November 2026 — this
entry's latest reading, not the date you are reading this.
“Лента дня” (@lentadnya), 360,292 subscribers as measured 6 November 2026. Telegram Register, tgregister.com/channel/lentadnya.
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.