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Channel

Дофамин | Лайфхакер

@pofixil

On this record: Topic · Observations · Growth · Engagement · What this channel posts · Reactions · Stars · Posts · Posts recorded as deleted · Citations · Telegram's recommendations · Cite this entry

25,018subscribers

-714 since we began measuring on 5 August 2026

Risers and fallers across the register · movement among entries of 10,000–31,623.

Register entry

Telegram ID-1001692609944
TypeChannel
Username@pofixil
DescriptionКанал @lifehackerru о том, как быть счастливым и устойчивым даже в сложные времена. Реклама: @semenyukk Другие наши каналы: https://t.me/addlist/pJ4cr-lPkcJiYzAy Регистрация: clck.ru/3NsvUb
Created13 April 2023 — measured — cross-checked against a third-party dataset (ext.tg_channel)
First recorded6 August 2026
Last confirmed live10 November 2026
Measurements held65
Confirmed unchanged1 time, most recently 10 November 2026
On Telegramt.me/pofixil

Topic

Film & TV — a classification, not a measurement. An on-box language model (Qwen3.6-35B-A3B-FP8, prompt version 1) read this channel’s own recent posts on 10 September 2026 and assigned it the closest of 31 fixed categories, at 62% 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.

Observations

These are measurements, not verdicts. Each one below states something we counted, alongside the evidence it was counted from, so you can check it rather than take it. None of them is graded: every observation this register holds is recorded at severity 0, because the precision of the detectors behind them has not been measured yet, and a rating we cannot support is worse than none. Read each as a fact about the data, not as a judgement about the channel. How we measure.

Content that also appears on other registered channels

Posts published here appear in near-verbatim form on 2 other registered channels. The matching is on the text itself, not on Telegram’s forward marker, so it finds a copy whether or not it was labelled as one.

Matching posts — open both and compare (2 of the pairs behind the counts below)
Posted firstThenOverlapGap
@pofixil/5750 · this entry13 Oct 2026, 15:32 UTC@BurningHut/3451324 Oct 2026, 10:00 UTC1.0011 days
@BurningHut/3454026 Oct 2026, 08:01 UTC@pofixil/5831 · this entry30 Oct 2026, 10:33 UTC1.004 days
Channels this entry shares post bodies with, where at least one matching post pair has no forward credit between the two channels, or to a common source, recorded in our data
ChannelMatching postsText overlapTypical gapPublished first
@BurningHut8 (8/8 hand-verifiable sample passed)1.005 dayseven
@lifehackerru16 (8/8 hand-verifiable sample passed)1.002 days@lifehackerru (9–7)

Text overlap is the Jaccard coefficient over the set of distinct three-word phrases in the two bodies: 1.00 is identical wording, and the threshold for counting a pair at all is 0.70. Candidates are generated by simhash LSH (4 x 16-bit bands, exact Hamming <= 3) verified against the bodies with Jaccard over the SET of distinct 3-word shingles. Published first counts which side of each matching pair carries the earlier timestamp — in this corpus, which is the limitation directly below.

What this cannot establish

MEASURED, DOMINANT ERROR SOURCE: a post ingested before 2026-08-06 may have carried a forward header that was not recorded. A 45-pair hand-check against live t.me pages found 14 (31%) where the live page shows a forward header naming the other channel and the database has none, plus 4 more (9%) naming a third party. The text match itself was wrong 0 times out of 45. Read attribution_capture.items_in_trusted_window before treating the unattributed count as a claim.

Telegram lets a channel forward a post with a header naming the source, and we only began reliably recording that header on 2026-08-06. 2 of the 2 matches recorded here fall after that date and carried no header when we read them. The rest predate reliable capture and are not evidence either way.

“Published first” means first in this corpus. We hold 151 comparable posts for this entry, running 31 July 2026 to 10 November 2026. A channel we have read one page deep will look younger than a neighbour we have read in full, and the order would flip with no change in the underlying facts.

The detector’s own notes on this observation, as it recorded them. Names in this_style are fields of the underlying evidence record, which the plain-English paragraphs above read out for this entry.

  • Verbatim republication has three causes and the text separates only two: a clone/mirror, unattributed copy-paste, or BOTH channels copying a common third source that neither attributes. The spread filter (content held by at most 8 channels) reduces the third and does not remove it.
  • 'Earliest' means earliest IN THIS CORPUS. A channel ingested one page deep will look younger than a neighbour ingested in full; corpus_coverage above is there to be checked before the direction is believed.
  • shared_verified_est extrapolates the sampled pass rate over the full narrow match count; sampled/passed are the numbers actually measured.
  • Absence of a forward header is not proof of intent: Telegram lets a channel disable forward attribution, and a credit written in the body is not parsed as attribution here (mention_edge_either_way above is the closest available signal).

Recorded under the key clone_mutual, last confirmed 11 November 2026. An observation that a later pass no longer finds is cleared, and a cleared observation is removed from this page rather than being shown struck through — we do not keep publishing a claim we have withdrawn. Dispute an observation.

Growth

25,01825,73225,3755 August 202610 November 2026
65 measurements spanning 96 days, net -714. 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 24,911–25,839 and does not start at zero.
Measurement log — every subscribers count we have recorded, most recent 20 of 65
Measured (UTC)SubscribersChange
10 Nov 2026, 06:5125,018-18
8 Nov 2026, 16:3825,036-10
7 Nov 2026, 09:4525,046-4
6 Nov 2026, 07:3025,050-2
5 Nov 2026, 10:1725,052-7
4 Nov 2026, 11:1825,059-10
3 Nov 2026, 08:4825,069-8
2 Nov 2026, 10:3125,077-7
1 Nov 2026, 10:0125,084-11
31 Oct 2026, 10:3725,095-3
30 Oct 2026, 10:2825,098-2
29 Oct 2026, 11:4925,100-9
28 Oct 2026, 13:0525,109-9
27 Oct 2026, 14:0825,118-7
26 Oct 2026, 12:4025,125-9
25 Oct 2026, 14:5625,134-7
24 Oct 2026, 16:4625,141-2
23 Oct 2026, 17:0525,143-5
22 Oct 2026, 16:1525,148-9
21 Oct 2026, 13:4825,157first reading

Engagement

191 posts held, back to 31 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 146 pages of Telegram’s post history, 20 posts per page.

ERR · 30 days
6.79%
avg views ÷ 25,018 subscribers
Avg views / post
1,700
68 posts measured
Reaction rate
3.13%
reactions ÷ views · ER floor
Posts in window
68
of 191 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
WindowRolling 30 days · latest post in window 10 November 2026
Posts held191 (31 July 2026 – 10 November 2026)
Views total115,578
Reactions total3,620
Forwards / commentsnot exposed by the public surface — not measured, not estimated
Readings taken10 Nov 2026, 23:19 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
≈3,880
Videos
≈6
Links
≈2,680

Lifetime counters from Telegram’s own channel header, read 10 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
13s
Average length
13s

Measured directly from 1 video 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

11,997 reactions across 188 posts, in 30 distinct kinds. The most used accounts for 38.6% of them.

Every reaction kind recorded on the sample, most used first
ReactionCountShareShare, drawn
❤4,62638.6%
🔥1,45212.1%
🌚1,21710.1%
💅8527.10%
❤‍🔥8106.75%
🥰4944.12%
👀4783.98%
custom 51973346592597093134173.48%
🦄3242.70%
😁3072.56%
😍1481.23%
🗿1421.18%
👍1391.16%
💯1281.07%
💔1030.859%
😢830.692%
🥴700.583%
🕊590.492%
👎430.358%
🙏410.342%
10 further kinds640.533%

Custom emoji. One row above is a Telegram custom emoji, which the public preview renders as an element carrying only a numeric id — no character, and no image we can reach. The id is printed as-is rather than substituted with a look-alike glyph, because a stand-in would be our invention showing where a measurement should be. The count beside it is Telegram’s.

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 191 of the 191 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 12,309 reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.

Measured over the 191 most recent posts we hold, published 31 July 2026 to 10 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 Stars

Stars received
3
across the posts below
Posts paid on
3
of 191 we hold a reading for · 2%
Most on one post
1
single highest reading

A paid reaction is a reader spending Telegram Stars — bought with money — on a post by @pofixil. 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 191 most recent posts we hold for this entry, published 31 July 2026 to 10 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.

Recent posts

Telegram’s own ‘edited’ marker: 2 of 68 posts held from the last 30 days (2.94%) 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).

10 Nov 2026, 15:57 UTC543 views12 reactionsread 10 November 2026
Photo

Почему чувства иногда остаются без ответа и как с этим смириться Дело, скорее всего, вообще не в вас. Читать → 🥰 Дофамин

❤11❤‍🔥1

10 Nov 2026, 09:56 UTC806 views12 reactionsread 10 November 2026
Video

Вы ещё не отправили нам свой текст? Самое время это сделать 😎 В январе мы запускаем новый раздел — специально для вас, наших читателей. Там вы сможете публиковать собственные тексты, истории и мнения, а взамен получать поддержку и находить себе друзей по интересам. Тексты мы принимаем до 20 декабря! Отправить свой текст на Лайфхакер → Добро пожаловать!

❤‍🔥8❤4

10 Nov 2026, 07:19 UTC899 views118 reactionsread 10 November 2026

Вы пользуетесь органайзерами? ❤️ — да, у меня всё по полочкам 🌚 — есть несколько 💅 — нет, я дитя хаоса

🌚56❤34💅28

9 Nov 2026, 15:49 UTC≈1,170 views29 reactionsread 10 November 2026

Формула «10–3–2–1–0» подарит вам крепкий сон и бодрое утро Придумал её тренер по фитнесу Крейг Баллантайн. С помощью этой методики вы научитесь полноценно отдыхать ночью и всегда просыпаться в хорошем настроении. Вот как это работает: ➕10 часов перед сном: никакого кофеина; ➕ 3 часа перед сном: никакой еды и алкоголя; ➕ 2 часа перед сном: никакой работы; ➕ 1 час перед сном: никаких экранов; ➕ 0: количество нажатий…

❤17👎7❤‍🔥2🕊1😐1custom 51973346592597093131

9 Nov 2026, 07:30 UTC≈1,190 views48 reactionsread 10 November 2026
Photo

Как вы? Можете рассказать в комментариях, оставить реакцию, отправить стикер или мем.

😢23🔥8🕊8👍5👎3❤1

8 Nov 2026, 16:46 UTC≈1,250 views20 reactionsread 10 November 2026
Photo

Что делать, когда позитивное мышление не помогает: 5 точек опоры в период неопределённости Убеждать себя, что всё обязательно закончится хорошо, иногда может быть вредно. Читать → 🥰 Дофамин

❤13custom 51973346592597093134🔥2❤‍🔥1

8 Nov 2026, 08:26 UTC≈1,240 views43 reactionsread 10 November 2026
Photo

Настроение: тревожная масса 👀 А по ссылке принесли несколько вариантов хобби, которые помогут меньше тревожиться: тык → 🥰 Дофамин

💔27❤8😁5custom 51973346592597093133

7 Nov 2026, 16:37 UTC≈1,240 views19 reactionsread 10 November 2026
Forwarded from @BurningHutPhoto

5 лингвистических пабликов для самостоятельного изучения языков Hello! Salut! Buon giorno! Английский язык «Визуальный английский» — а это кладезь учебников, методичек и правил для любого уровня владения языком: от совсем детских до помогающих подготовиться к IELTS и TOEFL. Ещё в группе периодически публикуются замечательные видеоподборки. Китайский язык «КитЯз: учим китайский язык» — в этой группе собраны все тон…

❤14❤‍🔥3👎1🔥1

7 Nov 2026, 08:49 UTC≈1,280 views35 reactionsread 10 November 2026
Photo

Что такое ментальное истощение и как с ним справиться В голову совсем не приходят новые идеи. Каждая рабочая задача отнимает колоссально много времени и сил. Даже небольшие решения даются с трудом. Малейшая неприятность выбивает из колеи. Если вам знакомы эти ситуации, возможно, вы столкнулись с ментальным истощением. На карточках рассказали, как его распознать и что сделать, чтобы с ним справиться. Сохраняйте пос…

❤‍🔥22💔7🔥3🥰3

6 Nov 2026, 15:37 UTC≈1,350 views45 reactionsread 10 November 2026
Photo

«Дофаминовый якорь» — прикольный способ расправляться со скучными обязанностями Если вы когда-нибудь замечали, что быстрее разбираете пакеты из магазина или оперативнее заканчиваете уборку, потому что вас ждёт новый эпизод интересного сериала или чашка любимого кофе, значит, «дофаминовый якорь» вам уже знаком. Но, возможно, вы не знаете, что можно использовать этот биологически заложенный в нас механизм осознанно. …

❤29❤‍🔥6🤔6🔥4

6 Nov 2026, 07:25 UTC≈1,320 views37 reactionsread 9 November 2026
Photo

Как научиться баловать себя 😀 Заботиться о себе — это не слабость или эгоизм, а необходимость. Почему мы не умеем себя баловать Со временем многие люди теряют способность баловать себя. Причин у подобных изменений так много, что все вряд ли получится перечислить. Вот некоторые из них. 🟡Воспитание. На долю почти каждого поколения приходится какое‑нибудь потрясение: война, кризис, государственный переворот. И если д…

❤26🔥7❤‍🔥4

5 Nov 2026, 15:41 UTC≈1,360 views26 reactionsread 9 November 2026
Photo

Скрытая сила разочарования: как извлечь пользу из несбывшихся надежд Несмотря на то, что разочарование принято считать нежелательной и бесполезной эмоцией, исследования показывают обратное. Оно обнажает наши истинные желания, помогает понять, что для нас главное, и указывает на то, что мы пока не готовы принять. Другими словами, это сигнал, который стоит научиться считывать. Попробуйте следовать правилам, описанным…

❤18👍4🔥4

Showing the 12 most recent of 191 posts we hold for @pofixil. 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 recorded as deleted after publishing

We recorded 10 posts on @pofixil 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.

First seen missing
10 August 2026
Most recent seen missing
27 October 2026
Median time before seen missing
48 hours
Seen missing in the last 30 days
3

Forward network

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 2 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.

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.

Лайфхакер
@lifehackerru · 67,460
#1
Йод | Лайфхакер
@lh_health · 22,589
#2
Спокойное место
@tish_blagodat · 8,903
#3
Горящая изба
@BurningHut · 26,670
#4
Рецепты Лайфхакера
@lh_eda · 38,363
#5
Технологии | Лайфхакер
@lhdigest · 12,534
#6
Кинжал
@Le_kinzhal · 46,010
#7
Занудный Стас
@ZanudnyjGTD · 626
#8
Клуб модных жаб
@clubzhab · 4,297
#9
Т—Ж
@t_jrnl · 98,089
#10
Артемий Лебедев
@temalebedev · 968,108
#11
Кружок Пономаря
@ponomaround · 1,057
#12
Максим Ильяхов (Главред)
@glvrdru · 69,272
#13
Паша и его прокрастинация
@abbsol · 29,402
#14
Школа здорового взрослого
@HealthyAdultLife · 10,616
#15
Света редачит, а могла бы …
@duchaks · 5,063
#16
Т—Ж Мозг
@t_dopamine · 20,931
#17
Купрум
@tolkosprosit · 42,775
#18
Т—Ж Образование
@t_obrazovanie · 11,242
#19
не тереби дао
@dukaliti · 121,661
#20
0% токсичности
@stop_toxic · 33,591
#21
Чтобы не выгорать
@notburningout · 43,564
#22
Учебник Т—Ж
@t_uchebnik · 57,590
#23
Безжалостная Ильяхова
@irinausichenko · 6,917
#24
Ок, ясно
@yasno_live · 111,571
#25
Сделаемская школа
@sdelaem_education · 12,696
#26
Копилка текстов | Маркетинг, копирайтинг
@smotri_kakoi_text · 7,128 (as read 14 September 2026)
#27
Редакция Рыба
@ryba_team · 20,237
#28
Чистые Когниции
@pure_cognitions · 38,880
#29
олдскульный маркетинг
@marketingold · 122,984
#30
Записки редакторки
@zapiski_redaktorki · 93,608
#31
З—Ж
@t_zdorov · 19,377
#32
Бескромный
@dbeskromny · 154,206
#33
Alter
@psyalter_ru · 26,498
#34
Теории и Практики
@tandp_ru · 22,002
#35
Daily Reminder
@justakindreminder · 36,340
#36
Психология | Psychologies
@PsychologiesRussia · 53,042
#37
Школа Рыбы
@parilkateam · 2,121
#38
Т—Ж Спорт
@t_sportik · 8,817
#39
бёрнинг батт
@burningbutt · 8,540
#40
Раньше всех. Ну почти.
@bbbreaking · 1,975,436
#41
Медуза — LIVE
@meduzalive · 1,116,844
#42
кабачковая икра по акции
@sale_caviar · 192,540
#43
Кинопоиск | Фильмы и сериалы
@kinopoisk · 794,552
#44
твиттота
@twitt_ota · 418,557
#45
Ждём резюме l Лайфхакер
@zdemcv · 80,380
#46
ситуация менструация
@krasnodarguests · 743
#47
лидер мнений среди удобрений
@lider · 175,531
#48
диалектический отказ
@istominakarina · 156,514
#49
Антиглянец
@sncmag · 299,576
#50
Палиндром
@rdslv · 8,450
#51
Сегодня в тренде
@trends · 1,112,806
#52
Это работа для редактора
@glvrd_job · 22,891
#53
Журнал НОЖ
@knifemedia · 101,903
#54
Русский маркетинг
@smmrus · 124,950
#55
Федоров, ты задолбал
@fedorovmedia · 3,923
#56
БУДУ
@budujobs · 134,070
#57
Т—Ж Технокульт
@t_technocult · 14,753
#58
vc.ru
@vcnews · 112,144
#59
Редактор с чашкой чёрного
@klimovawrites · 1,761
#60
Передали коллегам
@collegi · 134,238
#61
Екатерина Шульман
@eschulmann · 299,577
#62
Большая книга о соцсетях — Ильяхов, Скрябин
@social_book · 3,119
#63
Ты в тренде или уходи
@trendsetter · 1,504,263
#64
Пикабу
@pikabu · 254,974
#65
Молянов
@molyanov_blog · 31,007
#66
бумеры смотрят телек
@boomers_TV · 156,897
#67
Доктрина Скрябина
@scryabins · 7,415
#68
SETTERS Media
@setters · 82,535
#69
ФейкМашина
@fakemashine · 1,340
#70
Т—Ж Едакция
@t_foooood · 7,843
#71
Афиша Daily
@afishadaily · 71,203
#72
А!
@aaamagazine · 78,716
#73
Щёки и предубеждения
@winnie_fucking_pooh · 215
#74
Илья Еремин | Контент-маркетинг
@bzdynko · 4,207
#75
Naked Science
@nsmag · 245,244
#76
careerspace
@careerspace · 165,023
#77
Игорь, начинайте работу
@oplata_skoro_budet · 646,446
#78
Страдающее Средневековье
@pophistory · 140,206
#79
Радио Рыба | Контент
@madcopy_blog · 1,386
#80
Ересь Скрябина
@scrheresy · 1,935
#81
«Карьера» The Blueprint
@theblueprintcareer · 143,936
#82
Т—Ж Свой угол
@t_nedviga · 17,233
#83
Wonderzine
@wonderzinemag · 16,043
#84
Яндекс
@yandex · 601,037
#85
Московская ЩУКА
@moscow_pike · 63,168
#86
Норм работа
@normrabota · 142,872
#87
Нейроцех
@neurozeh · 14,531
#88
Пездуза
@pezduzalive · 368,836
#89
Я не понимаю это смешно или уже нет!!
@sashaonline · 86,007
#90
первой эякулирует бухгалтерия
@buhcumlter · 36,960
#91
Креатив со звездочкой
@creative · 133,469
#92
Город
@t_gorod · 67,943
#93
Правила жизни
@pravilamagru · 63,633
#94
A-Teams | Карьера
@huggabletalents · 135,875
#95

Read from Telegram’s recommendation API, most recently 14 September 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.

Йод | Лайфхакер
@lh_health · 22,589
Telegram ranks this channel #1 of 95 here — alongside 94 others — read 19 September 2026
Лайфхакер
@lifehackerru · 67,460
Telegram ranks this channel #1 of 93 here — alongside 92 others — read 20 August 2026
0% токсичности
@stop_toxic · 33,591
Telegram ranks this channel #2 of 87 here — alongside 86 others — read 3 September 2026
Рецепты Лайфхакера
@lh_eda · 38,363
Telegram ranks this channel #2 of 93 here — alongside 92 others — read 31 August 2026
Горящая изба
@BurningHut · 26,670
Telegram ranks this channel #14 of 87 here — alongside 86 others — read 12 September 2026
Психология | Psychologies
@PsychologiesRussia · 53,042
Telegram ranks this channel #34 of 94 here — alongside 93 others — read 24 August 2026
Т—Ж Мозг
@t_dopamine · 20,931
Telegram ranks this channel #35 of 94 here — alongside 93 others — read 24 September 2026

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.

Cite this entry

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 10 November 2026 — this entry's latest reading, not the date you are reading this.

“Дофамин | Лайфхакер” (@pofixil), 25,018 subscribers as measured 10 November 2026. Telegram Register, tgregister.com/channel/pofixil.

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.