https://knife.media — журнал о культуре, науке и обществе.
Наш второй канал: @bluntmedia
По рекламе в тг-канале — @TgPodbor_bot @Aleksandr_TgPodbor
По рекламе на сайте — [email protected]
Заявление РКН № 5595513231
Created
17 January 2016 — measured — cross-checked against a third-party dataset (ext.tg_channel)
Other / unclassifiable — 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 85% 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.
Previous handles
Recorded in 2019 as “Журнал «Нож»” — the title held for this same channel (matched by Telegram id, not by handle) in the Pushshift Telegram Dataset, a third-party archive captured in 2019-2020, years before this register made its own first observation. CC BY 4.0, Baumgartner, Zannettou, Squire & Blackburn (2020), Zenodo. A third party’s dated snapshot, not a measurement this register made itself.
Growth
33 measurements spanning 43 days, net -68. 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 101,792–101,947 and does not start at zero.
Measurement log — every subscribers count we have recorded, most recent 20 of 33
Measured (UTC)
Subscribers
Change
18 Sept 2026, 08:16
101,812
-2
16 Sept 2026, 01:39
101,814
+3
14 Sept 2026, 09:55
101,811
+1
12 Sept 2026, 16:19
101,810
-17
10 Sept 2026, 17:18
101,827
+15
4 Sept 2026, 22:20
101,812
+2
3 Sept 2026, 04:17
101,810
-11
2 Sept 2026, 02:48
101,821
-6
1 Sept 2026, 04:18
101,827
+1
31 Aug 2026, 05:18
101,826
+6
30 Aug 2026, 05:39
101,820
-35
29 Aug 2026, 04:25
101,855
-11
28 Aug 2026, 01:28
101,866
+10
27 Aug 2026, 03:33
101,856
-18
26 Aug 2026, 04:38
101,874
+23
25 Aug 2026, 02:18
101,851
-31
23 Aug 2026, 13:17
101,882
-15
21 Aug 2026, 23:39
101,897
+7
20 Aug 2026, 15:51
101,890
-2
19 Aug 2026, 15:33
101,892
first reading
Engagement
230 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 93 pages of Telegram’s post history, 20 posts per page.
ERR · 30 days
9.79%
avg views ÷ 101,812 subscribers
Avg views / post
9,970
148 posts measured
Reaction rate
0.42%
reactions ÷ views · ER floor
Posts in window
148
of 230 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.
What these figures were computed from
Window
Rolling 30 days · latest post in window 20 September 2026
Posts held
230 (5 August 2026 – 20 September 2026)
Views total
1,475,720
Reactions total
6,204
Forwards / comments
not exposed by the public surface — not measured, not estimated
Readings taken
20 Sept 2026, 09:38 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
≈19,800
Videos
≈706
Links
≈19,800
Lifetime counters from Telegram’s own channel header, read 20 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.
Video runtime
4m 04s
Average length
31s
Measured directly from 8 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
9,530 reactions across 226 posts, in 11 distinct kinds. The most used accounts for 46.3% of them.
Every reaction kind recorded on the sample, most used first
Reaction
Count
Share
Share, drawn
❤
4,415
46.3%
🔥
1,435
15.1%
👍
1,343
14.1%
😱
933
9.79%
😁
502
5.27%
🤔
446
4.68%
🤯
224
2.35%
😢
150
1.57%
✍
58
0.609%
👏
13
0.136%
💯
11
0.115%
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 230 of the 230 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 9,708 reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.
Measured over the 230 most recent posts we hold, published 5 August 2026 to 20 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.
Telegram Stars
Stars received
1
across the posts below
Posts paid on
1
of 230 we hold a reading for · 0.4%
Most on one post
1
single highest reading
A paid reaction is a reader spending Telegram Stars — bought with money — on a post by @knifemedia. 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 230 most recent posts we hold for this entry, published 5 August 2026 to 20 September 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.
Advertising
Ad load
0.435%
1 of 230 posts carry an ad marker
Regulatory tokens
1
posts carrying an erid · 1 distinct token
Median views · ads
9,830
over 1 measured post
Median views · rest
10,100
over 229 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
2SDnjd5ynFD
1
14 August 2026
14 August 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 230 most recent posts we hold, published 5 August 2026 to 20 September 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.
Вы приглашены на свадьбу котят.
Так называется антропоморфная таксидермическая композиция 1890 года британского художника Уолтера Поттера. В ней можно увидеть 20 чучел котят, одетых в праздничные викторианские наряды из парчи и бархата. Поттер даже сшил для них нижнее белье, которого, правда, не видно под одеждой.
Невеста стоит в длинной фате и кружевном платье, а жених в костюме надевает кольцо на её палец. Священ…
Теперь вы знаете, что делать с нелюбимыми книжками.
Художник Дитер Рот придумал превращать издания в «литературную колбасу». С 1961 по 1970 он создал около 50 «деликатесов» по традиционному рецепту, заменяя мясной фарш измельчённой книгой или журналом.
Рот смешивал измельченные страницы с жиром, желатином, водой и специями, а затем набивал их в колбасные оболочки. В качестве ингредиентов он использовал произведения…
«Всё фигня, давай по-новой!»
Эту фразу (а ещё десятки других вроде «старайся лучше, иначе заменю тебя на Клода») можно встретить, наверное, в каждом втором чате с нейросетью. На первый взгляд подобные угрозы кажутся нелепыми, ведь ИИ не ревнует к конкурентам и не боится потерять работу, в отличие от реального сотрудника.
Кажется, даже самые эмоциональные угрозы не могут его напугать. Или могут? Зачем пользователи в…
Подросток из Польши помнит каждый день своей жизни и переживает из-за резких приступов ностальгии.
Краковские учёные описали «суперспособности» 16-летнего парня с превосходной автобиографической памятью (HSAM).
Тесты на внимание показали, что 87 % его спонтанных мыслей — это непроизвольные воспоминаниями о прожитых годах. Для сравнения: у обычных людей мысли о прошлом возникают вдвое реже.
При этом у подростка не…
Пчёлы знают толк в искусстве.
К чувству прекрасного их приобщила канадская художника Аганета Дик. Вот уже несколько лет она размещает на пасеках фарфоровые статуэтки, обувь, спортивный инвентарь и другие предметы, которые могут заинтересовать пчёл. Насекомые месяцами трудятся над скульптурами, покрывая их медовыми сотами.
Своими работами художница пытается привлечь внимание к исчезновению медоносных пчёл, чья попул…
Россияне, которые пользуются ИИ на работе, зарабатывают больше коллег.
Об этом пишут экономисты из НИУ ВШЭ. Они проанализировали данные о 10 тыс. сотрудниках из разных сфер — проверили, как часто те работают с ИИ и влияет ли это на заработок.
Оказалось, регулярное и системное «сотрудничество» с ИИ повышает зарплату опытных специалистов на 41,8 %. Эпизодический контакт с чат-ботами не показал аналогичного эффекта.
…
Эти насекомые знают, что такое тяжелый люкс.
Французский художник Юбер Дюпра заметил, что в дикой природе личинки ручейников используют для создания коконов песчинки и ракушки. Затем ради эксперимента он переселил насекомых в аквариумы и дал им золото, бирюзу, опалы и жемчуг.
В итоге ручейники начали создавать настоящие ювелирные изделия, скрепляя драгоценный металл и минералы тонким слоем шёлка. После того, как на…
R&B с казачьим духом.
Певица Ми́лица показывает, что за популярной музыкой стоит огромная работа и любовь к своим корням.
Что вдохновило на новый трек «Враги», какие у певицы любимые словечки на балачке и кто здесь атаман — читайте в интервью в карточках.
#Мнение
Зумеры превращают хобби во вторую работу.
Тренд называется хоббимаксингом (hobbymaxxing). Суть в том, что молодёжь меняет думскроллинг на одержимость бегом, вязанием, настолками, макраме и другими увлечениями.
Со временем хоббимаксеры замечают, как занятия перешли в разряд «джоббис» — от английского job (работа) и hobby (хобби). Парни и девушки начинают вести подробные отчёты о прогрессе и снимают ролики об увлече…
❤43😱8✍7👍5😁5
Showing the 12 most recent of 230 posts we hold for @knifemedia. 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
Republished by
Channels on the register that have forwarded this channel's posts into their own feed.
Republished by 87 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 41 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.
Channels Telegram recommends alongside this one
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.
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.
Записки врача @doctors_memoirs · 30,622 Telegram ranks this channel #3 of 95 here — alongside 94 others — read 7 September 2026
Книжный импорт @importknig · 35,312 Telegram ranks this channel #10 of 93 here — alongside 92 others — read 2 September 2026
Arzamas @ArzamasLive · 59,379 Telegram ranks this channel #16 of 97 here — alongside 96 others — read 22 August 2026
N + 1 @nplusone · 64,280 Telegram ranks this channel #17 of 96 here — alongside 95 others — read 21 August 2026
Сноб @snobru · 39,293 Telegram ranks this channel #20 of 97 here — alongside 96 others — read 30 August 2026
Лайфхакер @lifehackerru · 67,076 Telegram ranks this channel #21 of 93 here — alongside 92 others — read 20 August 2026
Умный Брокколь | Грамотность @brokoledu · 43,105 Telegram ranks this channel #32 of 96 here — alongside 95 others — read 28 August 2026
Немецкая философия @deutschephilosophiee · 27,833 Telegram ranks this channel #34 of 88 here — alongside 87 others — read 10 September 2026
0% токсичности @stop_toxic · 34,444 Telegram ranks this channel #34 of 87 here — alongside 86 others — read 3 September 2026
Купрум @tolkosprosit · 43,068 Telegram ranks this channel #34 of 95 here — alongside 94 others — read 28 August 2026
Мертвая хватка @DeadHold · 148,041 Telegram ranks this channel #37 of 96 here — alongside 95 others — read 12 August 2026
www.бизнес @wwwbusiness · 59,087 Telegram ranks this channel #40 of 96 here — alongside 95 others — read 22 August 2026
Финансовый инстинкт @Finance_Instinct · 120,437 Telegram ranks this channel #43 of 96 here — alongside 95 others — read 14 August 2026
История одной картины @pic_history · 50,003 Telegram ranks this channel #44 of 96 here — alongside 95 others — read 25 August 2026
Психология @PsyEducation · 59,345 Telegram ranks this channel #44 of 95 here — alongside 94 others — read 22 August 2026
Научная Россия @scientificrussia · 41,189 Telegram ranks this channel #45 of 94 here — alongside 93 others — read 30 August 2026
Книжное братство @flibusta · 163,312 Telegram ranks this channel #45 of 94 here — alongside 93 others — read 12 August 2026
Вокруг Света | Путешествия • История • Наука @vokrugsveta1861 · 34,426 Telegram ranks this channel #46 of 97 here — alongside 96 others — read 3 September 2026
Московские метры @meters2 · 78,872 Telegram ranks this channel #46 of 96 here — alongside 95 others — read 19 August 2026
Архитектурные излишества @arkhlikbez · 123,744 Telegram ranks this channel #46 of 96 here — alongside 95 others — read 13 August 2026
Общество распространения полезных книг @obrpk · 26,566 Telegram ranks this channel #47 of 89 here — alongside 88 others — read 12 September 2026
Синхронизация @Synchronews · 48,783 Telegram ranks this channel #47 of 97 here — alongside 96 others — read 26 August 2026
Критическое мышление @ThinkCritical · 47,239 Telegram ranks this channel #50 of 97 here — alongside 96 others — read 26 August 2026
Дофамин | Лайфхакер @pofixil · 25,377 Telegram ranks this channel #54 of 95 here — alongside 94 others — read 14 September 2026
This channel appears in 88 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.
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 18 September 2026 — this
entry's latest reading, not the date you are reading this.
“Журнал НОЖ” (@knifemedia), 101,812 subscribers as measured 18 September 2026. Telegram Register, tgregister.com/channel/knifemedia.
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.
