😄😄😄 #ЮМОР от @warmempolit
💯35😁26🤣3🔥2

Channel
@naukapobezhdatZ
On this record: Topic · Growth · Engagement · What this channel posts · Reactions · Stars · Posts · Posts edited after publishing · Posts recorded as deleted · Polls · Citations · Handles named that no longer answer · Telegram's recommendations · Cite this entry
51,646subscribers
-20 since we began measuring on 6 August 2026
Risers and fallers across the register · movement among entries of 31,623–100,000.
| Telegram ID | -1001773252103 |
|---|---|
| Type | Channel |
| Username | @naukapobezhdatZ |
| Created | 7 October 2022 — measured — cross-checked against a third-party dataset (ext.tg_channel) |
| First recorded | 6 August 2026 |
| Last confirmed live | 8 November 2026 |
| Measurements held | 61 |
| Confirmed unchanged | 1 time, most recently 8 November 2026 |
| On Telegram | t.me/naukapobezhdatZ |
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 20 August 2026 and assigned it the closest of 31 fixed categories, at 37% 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 |
|---|---|---|
| 8 Nov 2026, 06:44 | 51,646 | -16 |
| 7 Nov 2026, 01:18 | 51,662 | +6 |
| 6 Nov 2026, 00:50 | 51,656 | +16 |
| 5 Nov 2026, 04:20 | 51,640 | +34 |
| 4 Nov 2026, 04:38 | 51,606 | +16 |
| 3 Nov 2026, 07:36 | 51,590 | -10 |
| 2 Nov 2026, 05:30 | 51,600 | -17 |
| 1 Nov 2026, 06:58 | 51,617 | -1 |
| 31 Oct 2026, 06:27 | 51,618 | -14 |
| 30 Oct 2026, 07:21 | 51,632 | -8 |
| 29 Oct 2026, 10:35 | 51,640 | -1 |
| 28 Oct 2026, 07:15 | 51,641 | +13 |
| 27 Oct 2026, 05:28 | 51,628 | -10 |
| 26 Oct 2026, 02:20 | 51,638 | +6 |
| 24 Oct 2026, 23:40 | 51,632 | -5 |
| 24 Oct 2026, 01:20 | 51,637 | +11 |
| 21 Oct 2026, 22:50 | 51,626 | -2 |
| 19 Oct 2026, 22:08 | 51,628 | -16 |
| 18 Oct 2026, 20:54 | 51,644 | -27 |
| 17 Oct 2026, 19:59 | 51,671 | first reading |
559 posts held, back to 3 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 191 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 157 of 161 measured posts that carry a reaction reading, and over those same posts' views.
| Window | Rolling 30 days · latest post in window 7 November 2026 |
|---|---|
| Posts held | 559 (3 August 2026 – 7 November 2026) |
| Views total | 591,840 |
| Reactions total | 10,165 |
| Forwards / comments | not exposed by the public surface — not measured, not estimated |
| Readings taken | 8 Nov 2026, 02:27 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.
Measured directly from 262 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.
34,373 reactions across 522 posts, in 48 distinct kinds. The most used accounts for 22.3% of them.
| Reaction | Count | Share | Share, drawn |
|---|---|---|---|
| 👍 | 7,665 | 22.3% | |
| 😁 | 5,490 | 16.0% | |
| 🔥 | 3,787 | 11.0% | |
| ❤ | 3,449 | 10.0% | |
| 💯 | 2,695 | 7.84% | |
| 🙏 | 2,465 | 7.17% | |
| 🫡 | 2,453 | 7.14% | |
| 🤣 | 2,222 | 6.46% | |
| ✍ | 1,492 | 4.34% | |
| 🤔 | 432 | 1.26% | |
| 👏 | 337 | 0.98% | |
| ❤🔥 | 307 | 0.893% | |
| 🤝 | 305 | 0.887% | |
| 👀 | 204 | 0.593% | |
| 🙈 | 182 | 0.529% | |
| 🤬 | 158 | 0.46% | |
| 😢 | 140 | 0.407% | |
| 👎 | 76 | 0.221% | |
| 😱 | 59 | 0.172% | |
| 🤩 | 46 | 0.134% | |
| 28 further kinds | 409 | 1.19% |
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 535 of the 559 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 34,810 reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.
Measured over the 559 most recent posts we hold, published 3 August 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.
A paid reaction is a reader spending Telegram Stars — bought with money — on a post by @naukapobezhdatZ. Telegram publishes the count on the public post preview alongside ordinary reactions, and this register reads it there. It is the only figure on this site that measures money moving rather than attention.
Stars are not reactions, and the two are never added. They are rendered in the same strip on Telegram and counted in the same shape, but one is a tap and the other is a purchase. The reaction totals and the engagement rate elsewhere on this page exclude every figure in this section, and no rate here is computed against a reaction count.
This is not revenue, and we publish no currency figure. What a Star costs a reader and what it pays a channel are different numbers, Telegram takes a share we cannot observe, and the terms have changed. Converting a Star count into money would be an estimate dressed as a measurement, so the count is where we stop.
Counted over the 559 most recent posts we hold for this entry, published 3 August 2026 to 7 November 2026. Star counts above 1,000 reach us in Telegram’s short form and carry the same three-significant-figure rounding as everything else on this page.
Telegram’s own ‘edited’ marker: 17 of 164 posts held from the last 30 days (10.4%) 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).
😄😄😄 #ЮМОР от @warmempolit
💯35😁26🤣3🔥2
Факелы. Наверное, кто-то вроде Харда или серьезного политолога написал бы на эту тему лучше. Мы люди попроще, с аналитикой такого плана сталкиваемся только по рабочей надобности, поэтому серьезного разбора дать не сможем. Мы пойдем от сердца. На видео — очередное факельное шествие насчет т.н. «Листопадного чина», которое прошло во Львове неделю назад, 1 ноября. Опять Западно-украинскую народную республику празднова…
💯20👍10❤1🔥1🙈1
Занимаетесь своей тушкой, уважаемые?
Shares as published, totalling 99%. No per-option vote count is published by Telegram, so none is shown.
Тяжело — занимайся. Дела не идут — занимайся. Всё в цвет и дела в гору — занимайся вдвойне.
👍44💯21❤6🔥3
Без физухи никуда. ЛФК. У всех нас после 30 появляются проблемы, когда может «защемить нерв». И вот тогда человек превращается в дерево: ни повернуться, ни присесть, ни полежать. Ничего. Ему всё больно. И многие видят выход в постановке блокады. Но у нас есть более безопасный способ поправить здоровье. Об этом сегодня и поговорим. Снять воспаление. Без медицинских средств вообще не обойтись: сначала снимаем (хоть …
👍22❤18💯4😁4✍3🔥1
😁😁😁 #ЮМОР от @kaspiyskyberet
🤣66💯4❤1👍1👏1🔥1😭1
За неимением гербовой пишем на почтовой. Вот вам короткое видео, как делать раствор для промывки ран. Обычным бойцам эта информация бесполезна. Это видео будет полезно для медвзводов и стабпунктов, у которых всегда проблемы с перевязочными и остальным медицинским имуществом. Этот полусильный раствор Дакина — это «тяжёлая артиллерия» для хирургического очищения гноящихся и отмирающих тканей. Соответственно, съездив …
👍23✍8❤🔥5🔥5❤3
🤩ТУРНИКЕТ ИЗ РУБАШКИ И ВЕТОК: ГЕНИАЛЬНАЯ ИМПРОВИЗАЦИЯ ИЛИ СМЕРТЕЛЬНАЯ ОШИБКА.🤩 🥸Среди походников «старой школы» и людей, далеких от современной тактической медицины, до сих пор жив опасный миф: «Зачем тратить деньги на штатный турникет и носить его в аптечке? В крайнем случае сделаю жгут из ремня, рубашки, шнурков или велосипедной камеры».🤯 ✍️Давайте обратимся к жестким фактам и доказательной базе. Действительно ли…
✍11❤4💯2
Жгут-убийца. Или спаситель? Возможно, мы сейчас расскажем про разновидность жгута, о котором мало кто знает, но хотелось бы просветить наших уважаемых подписчиков о таких вещах и рассказать о том, какую нишу мы для них видим. А поговорим мы о жгуте R.A.T.S. Его ТТХ. Данный жгут имеет ширину всего 1,27 сантиметра, изготовлен из вулканизированной резины. Таким образом, он в два раза Уже обычного ленточного жгута и в …
👍20✍17❤7🔥3
Турель: Не роскошь, а неотъемлемая необходимость в борьбе с дронами! 🛡️🔫 Появление тысяч беспилотников над нашими городами — это уже не фантастика, а реальная угроза. Ваша безопасность и безопасность гражданских объектов больше не могут полагаться на случай или отсутствие противника. Турель — это не роскошь, а современная необходимость. Мы представляем Турель универсальную для стендовой стрельбы, созданную для эффе…
👍27❤3🔥1
😁😁😁 Выше нас только звезды! С праздником, братишки! 🫡 #ЮМОР от @warmempolit
😁93🫡24🤣17🥰5
Разведчик не по профессии — разведчик по натуре. Кто такой разведчик? Это сплав хитрости, силы, выносливости и позитива. Почему так? Сейчас расскажем. Хитрость. Хитрость нужна, чтобы всегда обманывать врага. А почему? А потому что, когда вас 4–6 человек проводит засаду или налёт, вам надо ухитриться сделать так, чтобы враг или испугался, подумав, что в этом лесу находится бригада партизан, или обнаружил пропажу сво…
❤🔥54🫡47🔥15❤7👍5👏4🤝2
Showing the 12 most recent of 559 posts we hold for @naukapobezhdatZ. 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.
@naukapobezhdatZ edited 7 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.
We recorded 4 posts on @naukapobezhdatZ as deleted — posts this register held that were missing from the channel’s public page on two separate reads, taken from different network addresses at least an hour apart.
A deletion is not wrongdoing. This register can see that a post it held is no longer on the channel’s public page, and when — not why. Expired ad placements, reposts, rotating links and corrections all look the same. This is a count of recorded detections, not an exact total: it misses deletions we could not see, because only a post we held and later re-read inside the page can be seen to go, and it may include a small number of wrong records. How this is measured.
The 6 most recent of 23 polls we hold for this entry, as Telegram rendered them when we read the post. A poll’s figures keep moving after that, so each one is dated.
Занимаетесь своей тушкой, уважаемые?
Shares as published, totalling 99%. No per-option vote count is published by Telegram, so none is shown.
Занятный нюанс у нас в подписчках. Обнаружили, что на нас подписан махровый хохол из ВСУ. Лицо славянское, возраст «кому за». Ведет свой канал, где пишет на чистом русском, потому ему «за». Но мы там, конечно, п*доры. Что делать будем?
Shares as published. No per-option vote count is published by Telegram, so none is shown.
Уважаемые, вместе с концом октября пришла пора спросить вас, какой текст за этот месяц достоин размещения в серьезной папке хороших каналов. Вариантов в этот раз много. Полагаемся на ваше взвешенное решение
Shares as published. No per-option vote count is published by Telegram, so none is shown.
Замер средней температуры по больнице. Нетоварищи хохлы, вы все еще хотите каву в Крыму и границы 1991 года?
Shares as published, totalling 101%. No per-option vote count is published by Telegram, so none is shown.
Признавайтесь, товарищи, что трофеили?
The shares total 135%, above 100: this poll accepts more than one answer per voter. No per-option vote count is published, so the number of voters who chose each option is not derivable and is not shown.
Давайте день подытожим. Вы сами сталкивались с длительной эвакуацией (неделя и больше)?
The shares total 102%, above 100: this poll accepts more than one answer per voter. No per-option vote count is published, so the number of voters who chose each option is not derivable and is not shown.
Percentages only — there are no per-option vote counts here, because Telegram publishes none. The public post preview gives each option’s share and a single voter total, and nothing else. Multiplying one by the other would produce a per-option tally that looks measured and is not: the shares are rounded to whole numbers before we ever see them. We print what was published and leave the column that does not exist empty.
The shares need not add up to 100. Rounding alone puts many polls at 99 or 101. A poll that allows more than one answer per voter runs well past 100 by design, and several here do. The bars are drawn against a fixed 100% track at each option’s own percentage rather than normalised to the total, so a poll that exceeds it shows that it does instead of being quietly rescaled.
Read from the 559 most recent posts we hold, published 3 August 2026 to 7 November 2026. Telegram labels each poll by kind — an anonymous poll, a quiz, a closed set of final results — and that label is reproduced rather than paraphrased.
Republished by
Channels on the register that have forwarded this channel's posts into their own feed.
Republishes
Channels on the register whose posts this channel has forwarded.
Republishes 55 registered channels. The 48 listed are the ones this channel has forwarded most; 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.
Named by 45 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.
@naukapobezhdatZ 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 25 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 28 seed channels' Telegram-generated recommendation lists in total, of which the 24 where it ranks highest are shown above. 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 8 November 2026 — this entry's latest reading, not the date you are reading this.
“Наука побеждать” (@naukapobezhdatZ), 51,646 subscribers as measured 8 November 2026. Telegram Register, tgregister.com/channel/naukapobezhdatZ.
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.