😁 Макгрегор выложил в сторис Олега Монгола и своего абаканского двойника, подписав: «посмотрите на моих пацанов». Команда по спасению мира, не иначе 😂 — нам нужна коллаборация 🙏 Добрые новости✔️
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Channel
@dabrotyt
On this record: Topic · Growth · Engagement · What this channel posts · Reactions · Posts · Posts edited after publishing · Citations · Telegram's recommendations · Cite this entry
97,289subscribers
-3,985 since we began measuring on 6 August 2026
Risers and fallers across the register · movement among entries of 31,623–100,000.
| Telegram ID | -1001282715793 |
|---|---|
| Type | Channel |
| Username | @dabrotyt |
| Description | Здесь мы собираем всё, что вселяет веру в людей и делает день немного светлее. По всем вопросам: @niktwix Менеджер: @Spiral_Yuri Сотрудничем: @Tgpodbor_official |
| Created | 12 April 2020 — measured — cross-checked against a third-party dataset (ext.tg_channel) |
| First recorded | 6 August 2026 |
| Last confirmed live | 26 September 2026 |
| Measurements held | 35 |
| Confirmed unchanged | 1 time, most recently 26 September 2026 |
| On Telegram | t.me/dabrotyt |
Memes & entertainment — 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 81% 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 why it has no browse page of its own yet.
| Measured (UTC) | Subscribers | Change |
|---|---|---|
| 26 Sept 2026, 06:38 | 97,289 | +1,686 |
| 17 Sept 2026, 11:58 | 95,603 | -164 |
| 15 Sept 2026, 13:57 | 95,767 | -124 |
| 13 Sept 2026, 19:21 | 95,891 | -88 |
| 12 Sept 2026, 03:19 | 95,979 | -2,081 |
| 9 Sept 2026, 18:21 | 98,060 | -192 |
| 6 Sept 2026, 14:19 | 98,252 | -85 |
| 4 Sept 2026, 03:59 | 98,337 | -68 |
| 2 Sept 2026, 19:49 | 98,405 | -241 |
| 1 Sept 2026, 20:37 | 98,646 | -98 |
| 31 Aug 2026, 20:14 | 98,744 | -56 |
| 30 Aug 2026, 22:23 | 98,800 | -55 |
| 29 Aug 2026, 19:45 | 98,855 | -78 |
| 28 Aug 2026, 20:47 | 98,933 | -60 |
| 27 Aug 2026, 23:15 | 98,993 | -153 |
| 27 Aug 2026, 02:15 | 99,146 | -87 |
| 26 Aug 2026, 01:57 | 99,233 | -65 |
| 25 Aug 2026, 04:33 | 99,298 | -78 |
| 24 Aug 2026, 03:36 | 99,376 | -114 |
| 22 Aug 2026, 11:07 | 99,490 | first reading |
67 posts held, back to 24 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 106 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. It is computed over the 29 of 30 measured posts that carry a reaction reading, and over those same posts' views.
| Window | Rolling 30 days · latest post in window 26 September 2026 |
|---|---|
| Posts held | 67 (24 July 2026 – 26 September 2026) |
| Views total | 125,380 |
| Reactions total | 1,259 |
| Forwards / comments | not exposed by the public surface — not measured, not estimated |
| Readings taken | 26 Sept 2026, 23:29 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 26 September 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 43 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.
2,892 reactions across 66 posts, in 10 distinct kinds. The most used accounts for 75.9% of them.
| Reaction | Count | Share | Share, drawn |
|---|---|---|---|
| ❤ | 2,195 | 75.9% | |
| 🤣 | 279 | 9.65% | |
| 👍 | 125 | 4.32% | |
| 🔥 | 75 | 2.59% | |
| 🗿 | 74 | 2.56% | |
| 🙏 | 40 | 1.38% | |
| 🤔 | 39 | 1.35% | |
| 💔 | 35 | 1.21% | |
| 🤡 | 21 | 0.726% | |
| 🫡 | 9 | 0.311% |
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 66 of the 67 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 2,892 reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.
Measured over the 67 most recent posts we hold, published 24 July 2026 to 26 September 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.
😁 Макгрегор выложил в сторис Олега Монгола и своего абаканского двойника, подписав: «посмотрите на моих пацанов». Команда по спасению мира, не иначе 😂 — нам нужна коллаборация 🙏 Добрые новости✔️
🤣6❤5🤡2
🥹 Из-за похолодания орангутанам в Московском зоопарке выдали тёплые одеяла и джемперы 30-летняя Чава, например, выбрала себе свитшот с пингвинами, а её мама Чапа, которой скоро исполнится 48 лет, остановилась на однотонном вязаном жилете Вот это действительно лучшие новости ❤️ Добрые новости✔️
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Тиктокеры массово превращаются в своих питомцев Никакой мистики, просто новый тренд: блогеры поэтапно трансформируются в животных под заедающий корейский мотив. Добрые новости✔️
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🙀 Мужик пил по 24 банки пива в день, колол стероиды БЕЗ тренировок и... вышел на соревнования по бодибилдингу Американец Питер Моссфилд решил провести эксперимент: он ежедневно выпивал десятки банок пива, использовал стероиды и при этом полностью забил тренировки. Так он хотел проверить, сколько мышц можно набрать без походов в зал Через несколько месяцев он занял 8-е место в Men’s Physique. Теперь Питер собирается…
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Кадр дня: японский фотограф запечатлел махач двух кроликов в воздухе 😧 ❤️ — это даже лучше чем UFC Добрые новости✔️
❤46🔥5🤣4👍1
Невеста представляет, какой у них будет красивый свадебный торт с цветочками и бабочками Какой торт выбрал жених: 🤔 Добрые новости✔️
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Самая красивая в мире собака выглядит так: журнал Vogue выбрал победителя премии Dogue — изящная левретка, которая покорила всех судей и забрала их голоса 😍 «Победителем стал итальянский грейхаунд по кличке Сэр Спад, который привлек судей своим "идеальным спокойствием" и проницательным видом» ❤️ — бася реально красивая и изящная 👎 — ну не знаю, моя собака и то лучше выглядит Добрые новости✔️
❤37🤡11👍5
Котёнок чихнул 41 раз подряд — хозяйка очень испугалась и тут же повезла хвостатого к ветеринару... Диагноз оказался максимально убийственным: у котёнка в носу застряла обычная пылинка 😊 ❤️ — бедный малыш, я бы тоже за него испугался 😅 — автоматная очередь Добрые новости✔️
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❤️ Милота дня: блогер сделал бабуле с рынка собственный БРЕНД СОЛЕНЬЕВ Парень увидел бабушку, у которой никто не покупал квашеную капусту, сгенерил для нее в нейросети бренд и распечатал логотип в типографии рядом. В итоге покупатели появились почти сразу же ❤️ — ну какой красавчик Добрые новости✔️
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Участники проекта «РуководителиДетям.РФ» осваивают новую для себя роль: предприниматели и топ-менеджеры выходят на театральную сцену, чтобы помочь талантливым детям. Среди них Елена Крупская, директор по стандартам пищевой безопасности Х5. 29 сентября в Театриуме на Серпуховке она сыграет в благотворительном спектакле «Женить любой ценой» по мотивам «Женитьбы» Гоголя и «Ханумы» Цагарели. Прибыль от продажи билетов н…
😂 Муж включал звук кальяна, пока жена дышала во время схватки — чтобы она представляла, будто ВДЫХАЕТ КАЛЬЯН В итоге получалось, будто это она сама булькает. Муж решил, что так ей будет проще расслабиться и представить, что она спокойно сидит с кальяном, а не переживает схватку ❤️ — а нельзя сразу кальян туда принести? ❤️ — ХАХАХ, как их не разьеб@ло в этот момент Добрые новости✔️
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🎁 «Миллион призов»: электронный голос = приятный бонус Уже в эти выходные, с 18 по 20 сентября, в Москве состоится голосование за депутатов Госдумы. Участники, которые выберут онлайн-формат или воспользуются терминалом на участке, смогут получить от 1 000 до 50 000 городских баллов по программе «Миллион призов». 📌 Один балл равен одному рублю. Ими можно оплачивать товары и услуги у партнеров, в том числе покупать б…
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Showing the 12 most recent of 67 posts we hold for @dabrotyt. 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.
@dabrotyt 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.
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.
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.
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.
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 11 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 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 26 September 2026 — this entry's latest reading, not the date you are reading this.
“Добрые люди — добрые новости” (@dabrotyt), 97,289 subscribers as measured 26 September 2026. Telegram Register, tgregister.com/channel/dabrotyt.
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.