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Channel
@lantratovaDOBRO
On this record: Topic · Growth · Engagement · What this channel posts · Reactions · Posts · Posts edited after publishing · Citations · Handles named that no longer answer · Telegram's recommendations · Cross-platform identity · Cite this entry
223,489subscribers
+18,915 since we began measuring on 5 August 2026
Risers and fallers across the register · movement among entries of 100,000–316,228.
| Telegram ID | -1001750040410 |
|---|---|
| Type | Channel |
| Username | @lantratovaDOBRO |
| Description | Канал, который веду сама👩💻 __ С уважением, Уполномоченный по правам человека в России https://max.ru/lantratovaDOBRO https://vk.com/yanapr Для обращений: https://fgis-upch.ru/ |
| Created | 25 February 2022 — measured — cross-checked against a third-party dataset (ext.tg_channel) |
| First recorded | 6 August 2026 |
| Last confirmed live | 6 November 2026 |
| Measurements held | 62 |
| Confirmed unchanged | 1 time, most recently 6 November 2026 |
| On Telegram | t.me/lantratovaDOBRO |
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 8 August 2026 and assigned it the closest of 31 fixed categories, at 70% 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.
| Measured (UTC) | Subscribers | Change |
|---|---|---|
| 6 Nov 2026, 16:26 | 223,489 | -1,400 |
| 5 Nov 2026, 15:05 | 224,889 | -520 |
| 4 Nov 2026, 15:16 | 225,409 | +300 |
| 3 Nov 2026, 13:56 | 225,109 | -649 |
| 2 Nov 2026, 16:39 | 225,758 | -5,185 |
| 1 Nov 2026, 16:46 | 230,943 | -262 |
| 31 Oct 2026, 17:16 | 231,205 | +1,374 |
| 30 Oct 2026, 14:31 | 229,831 | -421 |
| 29 Oct 2026, 12:50 | 230,252 | +2,684 |
| 28 Oct 2026, 09:16 | 227,568 | -233 |
| 27 Oct 2026, 10:36 | 227,801 | -421 |
| 26 Oct 2026, 09:56 | 228,222 | +1,167 |
| 25 Oct 2026, 08:05 | 227,055 | -861 |
| 24 Oct 2026, 07:36 | 227,916 | +7 |
| 23 Oct 2026, 05:38 | 227,909 | -171 |
| 22 Oct 2026, 07:46 | 228,080 | -252 |
| 21 Oct 2026, 01:46 | 228,332 | -954 |
| 20 Oct 2026, 03:26 | 229,286 | -138 |
| 19 Oct 2026, 04:18 | 229,424 | -185 |
| 18 Oct 2026, 00:50 | 229,609 | first reading |
465 posts held, back to 4 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 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.
| Window | Rolling 30 days · latest post in window 6 November 2026 |
|---|---|
| Posts held | 465 (4 August 2026 – 6 November 2026) |
| Views total | 6,070,080 |
| Reactions total | 18,862 |
| Forwards / comments | not exposed by the public surface — not measured, not estimated |
| Readings taken | 7 Nov 2026, 01:59 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.
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.
Measured directly from 70 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.
46,971 reactions across 463 posts, in 19 distinct kinds. The most used accounts for 40.0% of them.
| Reaction | Count | Share | Share, drawn |
|---|---|---|---|
| ❤ | 18,783 | 40.0% | |
| 🙏 | 7,122 | 15.2% | |
| 👍 | 5,810 | 12.4% | |
| 🔥 | 4,053 | 8.63% | |
| 💯 | 2,388 | 5.08% | |
| ❤🔥 | 2,235 | 4.76% | |
| 🥰 | 2,151 | 4.58% | |
| 😍 | 1,928 | 4.10% | |
| 🤝 | 609 | 1.30% | |
| 🕊 | 498 | 1.06% | |
| 👏 | 451 | 0.96% | |
| 😢 | 377 | 0.803% | |
| 😱 | 225 | 0.479% | |
| 😇 | 118 | 0.251% | |
| 🏆 | 99 | 0.211% | |
| ✍ | 55 | 0.117% | |
| ⚡ | 28 | 0.06% | |
| 👨💻 | 23 | 0.049% | |
| 🆒 | 18 | 0.038% |
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 464 of the 465 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 47,140 reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.
Measured over the 465 most recent posts we hold, published 4 August 2026 to 6 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’s own ‘edited’ marker: 24 of 114 posts held from the last 30 days (21.1%) 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).
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Помогли бойцу СВО получить необходимое лечение и в свой день рождения встретиться с мамой Ко мне обратилась Галина Николаевна из Сахалинской области. Оба её сына ушли добровольцами на СВО. Младший, Евгений, пропал без вести. Старший, Николай, после тяжёлого ранения перенёс ампутацию и столкнулся с серьёзными осложнениями. Добились перевода Николая в госпиталь имени А.А. Вишневского. Там специалисты определили дальн…
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Культура уважения: как предотвратить травлю среди детей и взрослых В Доме прав человека прошёл III Всероссийский антибуллинговый форум «Надо поговорить!». В этом году он объединил более 300 участников: представителей органов власти, педагогов, психологов, общественных организаций и молодёжи. Для меня принципиально важно, чтобы проблема травли не замалчивалась, а каждый человек, независимо от возраста и положения, м…
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В Доме прав человека прошёл «День донора» Команда Уполномоченного по правам человека в РФ провела благотворительную акцию совместно с Федеральным медико-биологическим агентством России. Такие встречи уже стали доброй традицией и проходят каждый квартал. Сотрудники Аппарата сдают кровь для тяжелобольных людей, нуждающихся в переливании и участников СВО. Медицинские специалисты ФМБА России позаботились о том, чтобы …
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Две Нивы и генераторы отправили в Белгородскую область От Дома прав человека в регион передали гуманитарную помощь: два автомобиля для эвакуации больных и раненых, продукты, детскую одежду и необходимые в холода генераторы. В приграничных районах возможность быстро доставить пострадавшего к врачам может спасти человеческую жизнь. Поэтому так важно, чтобы необходимый транспорт был у тех, кто ежедневно помогает людям…
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Первая леди США Мелания Трамп: «Выражаю глубочайшую признательность госпоже Яне Лантратовой, Уполномоченному по правам человека в Российской Федерации. Ваша преданность делу вселяет надежду и помогает сохранить достоинство людей, пострадавших от боевых действий. Спасибо Вам».
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В Вашингтоне приняла участие в пресс-конференции Первой леди США Мелании Трамп в Белом доме. Подвели итоги гуманитарной миссии в Алешках, проведенной при ее координации. Для нас важна каждая человеческая жизнь. Продолжение сотрудничества — это возможность и дальше спасать людей и оказывать помощь тем, кто в ней нуждается.
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Уважаемые работники судебной системы! Поздравляю вас с профессиональным праздником — Днём работника суда! Правосудие играет важнейшую роль в защите прав и свобод граждан, восстановлении справедливости и обеспечении законности. Возможность каждого человека отстоять свои права и получить справедливое решение — основа правового государства. Благодарю вас за непростой и ответственный труд, принципиальность, профессион…
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В Тавде расселили аварийный дом, признанный непригодным для проживания Жители двухэтажного дома несколько лет ждали переселения. Здание признали аварийным и подлежащим сносу, однако вопрос долго не решался. Моя коллега региональный Уполномоченный по правам человека в Свердловской области Татьяна Мерзлякова обратилась в Прокуратуру с просьбой провести проверку. Прокуратура взяла ситуацию на надзорное сопровождение.…
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В Нижегородской области помогли мужчине, которого по ошибке признали умершим Мужчину ошибочно объявили погибшим, спутав его при опознании с другим жителем Нижегородской области. Мужчина жив, но его паспорт признали недействительным, а ИНН, СНИЛС и полис ОМС заблокировали. Он не мог нормально работать и получать медицинскую помощь. Семье пришлось жить на небольшую пенсию жены. Мужчина обратился к Уполномоченному по …
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Showing the 12 most recent of 465 posts we hold for @lantratovaDOBRO. 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.
@lantratovaDOBRO edited 13 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.
Republished by
Channels on the register that have forwarded this channel's posts into their own feed.
Republished by 91 registered channels. The 48 listed are the ones that have forwarded the most posts; the rest are counted here but not each listed.
Republishes
Channels on the register whose posts this channel has forwarded.
Built only from forwarded posts we have actually read, on both sides. Coverage is early and deliberately incomplete: a missing link means we have not read the post that would prove it, never that the relationship does not exist. Counts are distinct forwarded posts observed, so they only ever go up as we read more.
Named by 264 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.
Names
Channels on the register whose handles appear in this channel's posts.
A mention is a weaker signal than a forward and is counted separately for that reason — naming a channel is not republishing it, and a handle in a post body is easy to place deliberately. The post counts beside each row below are distinct posts in which the handle appeared, from posts we have read on both sides — the “Named by N registered channels” figure above is a different count, of distinct NAMING CHANNELS rather than posts, and is not the sum of the rows under it.
@lantratovaDOBRO named 1 handle that resolve to nothing today. That is a fact about the reference, not necessarily a fact about the handle’s history — see the two groups below.
Most of these may never have existed as a live channel at all. A handle a channel names can be a typo, an aspirational name nobody registered, or a channel that was already gone before this one ever mentioned it. Unless a row below is marked evidenced, all we know is that it references a handle that is not a live channel today — not that anything “died”. How this is measured.
We ourselves saw each of these resolve to a real page at some point before it went vacant — a genuine, evidenced change, not an inference from absence.
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 11 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.
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.
This channel appears in 7 seed channels' Telegram-generated recommendation lists in total. Each is Telegram’s list for THAT channel, not this one — see how this is measured.
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.
| Label | Yana Lantratova |
|---|---|
| Description | Russian politician |
| X / Twitter | @lantratova |
| Official site | https://lantratova.ru |
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.
“Яна Лантратова” (@lantratovaDOBRO), 223,489 subscribers as measured 6 November 2026. Telegram Register, tgregister.com/channel/lantratovaDOBRO.
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.