Telegram RegisterThe public register of Telegram

Channel

Hardy

@hardyblog

On this record: Growth · Engagement · What this channel posts · Reactions · Stars · Posts · Polls · Citations · Cite this entry

1,813subscribers

+1 since we began measuring on 6 August 2026

Risers and fallers across the register · movement among entries of 1,000–3,162.

Register entry

Telegram ID-1001357961642
TypeChannel
Username@hardyblog
Created10 April 2020measured — cross-checked against a third-party dataset (ext.tg_channel)
First recorded6 August 2026
Last confirmed live12 August 2026
Measurements held3
Confirmed unchanged2 times, most recently 12 August 2026
On Telegramt.me/hardyblog

Growth

1,8111,8131,8126 August 2026 — 1,812 subscribers7 August 2026 — 1,811 subscribers9 August 2026 — 1,813 subscribers6 August 20269 August 2026
3 measurements spanning 3 days, net +1. 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 1,811–1,813 and does not start at zero.
Measurement log — every subscribers count we have recorded
Measured (UTC)SubscribersChange
9 Aug 2026, 21:141,813+2
7 Aug 2026, 03:451,811-1
6 Aug 2026, 15:021,812first reading

Engagement

20 posts held, back to 25 November 2025the reader has not yet reached the start of this channel’s public history, so older posts may sit further back, unread. Read across 2 pagesof Telegram’s post history, 20 posts per page.

ERR · 30 days
24.3%
avg views ÷ 1,813 subscribers
Avg views / post
440
2 posts measured
Reaction rate
7.05%
reactions ÷ views · ER floor
Posts in window
2
of 20 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 5 August 2026
Posts held20 (25 November 20255 August 2026)
Views total880
Reactions total62
Forwards / commentsnot exposed by the public surface — not measured, not estimated
Readings taken7 Aug 2026, 17:28 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

Video runtime
4m 01s
Average length
1m 20s

Measured directly from 3 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

813 reactions across 20 posts, in 24 distinct kinds. The most used accounts for 43.2% of them.

Every reaction kind recorded on the sample, most used first
ReactionCountShareShare, drawn
35143.2%
🔥19123.5%
💯587.13%
👏455.54%
👍354.31%
💘192.34%
😁161.97%
😱151.85%
🙏151.85%
121.48%
🆒91.11%
custom 519299863637133052670.861%
custom 525391347033573604570.861%
🤩60.738%
🤪60.738%
🦄50.615%
custom 542014155523307134130.369%
😍30.369%
🤔30.369%
🍾20.246%
4 further kinds50.615%

Custom emoji. 3 of the rows above are 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 counts beside them areTelegram’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 20 of the 20 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 813reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.

Measured over the 20 most recent posts we hold, published 25 November 2025 to 5 August 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
6
across the posts below
Posts paid on
4
of 20 we hold a reading for · 20%
Most on one post
2
single highest reading

A paid reaction is a reader spending Telegram Stars — bought with money — on a post by @hardyblog. 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 20 most recent posts we hold for this entry, published 25 November 2025 to 5 August 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

5 Aug 2026, 17:23 UTC321 views25 reactionsread 7 August 2026

Недавно одна знакомая, которая много лет занимается благотворительностью и работает с фондом, призналась мне в довольно страшной мысли. В какой-то момент она вдруг поняла, что ей, если совсем честно, на самом деле все равно на большинство детей, которым она помогает. Звучит жестоко. Но еще страшнее другое: возможно, многие люди никогда не задают себе этот вопрос и продолжают годами изображать перед собой чистое состр

14💯5🙏4🤔1custom 51929986363713305261

26 Jul 2026, 17:01 UTC559 views37 reactionsread 7 August 2026

Про скуку 🥱 Когда я учился в школе, мы иногда менялись с друзьями плеерами на несколько дней. Не отправляли друг другу одну песню в ICQ с подписью «послушай», а отдавали весь свой музыкальный мир целиком. Ты слушал чужие треки в чужом порядке и постепенно начинал понимать человека немного лучше. Там обязательно была музыка, которую ты сам никогда бы не включил. Некоторые песни раздражали, некоторые казались скучным

19🔥8👏6💯3💘1

14 Jul 2026, 10:14 UTC725 views65 reactionsread 7 August 2026

Недавно из одной частной школы исключили знакомую мне девочку. Не пойду в детали, н сама история навела меня на мысль, которая давно не дает покоя: насколько легко построить школу с выдающимися результатами, если заранее отбирать только выдающихся детей? Механика понятна. Собраем по всей стране самых способных, мотивированных и дисциплинированных учеников, проводим несколько этапов отбора, добавляем лучших преподава

408👍7💯4🆒3👏1💘1🤪1

6 Jul 2026, 16:30 UTC771 views7 reactionsread 7 August 2026
Poll

Год назад я писал про Алису и ее трансформацию в Алису AI. А теперь вопрос не к брендбуку, а к живым людям. Как вы сами ее называете в обычной жизни?

  1. Алиса97%
  2. Алиса AI3%

Shares as published. No per-option vote count is published by Telegram, so none is shown.

😁6custom 51929986363713305261

25 Jun 2026, 12:26 UTC≈1,050 views32 reactions2 Starsread 7 August 2026

Про бунтарей 😈 Недавно получил mute в Dota 2. То есть какое-то время я не смогу пользоваться микрофоном в игре. Система меня наказала за «токсичную» коммуникацию. Тут меня осенило, что behavior score в Доте — это почти идеальная мини-модель глупой корпоративной репутационной системы. Она хорошо наказывает за токсичность, но плохо различает полезное несогласие. В итоге она режет и токсика, и единственного человека,

18🔥9🙏2🏆1💯1🆒1

6 Jun 2026, 10:15 UTC≈1,110 views81 reactionsread 7 August 2026
Video

Книга «Игра без масок» заняла второе место в конкурсе «Деловая книга года» от «Технологий Доверия». Спасибо жюри и организаторам, команде Bookwings и всем, кто читает и делится обратной связью — это супер ценно! К премиям и различным рейтингам я отношусь спокойно. Премия не делает книгу великой, а ее отсутствие не делает книгу слабой. Это просто внешний сигнал. Хороший, приятный, но не более того. Приз в 500к рубле

41🔥22👏12👍3💯2💘1

28 May 2026, 17:11 UTC≈1,090 views52 reactionsread 7 August 2026

Друзья, я стал наставником в проекте «Поколение» и набираю свою группу. Это бесплатная десятилетняя программа для подростков, которым интересно развиваться, искать свой путь, задавать вопросы, пробовать, ошибаться и постепенно понимать, кем они хотят быть. Мне самому в жизни очень помогали люди, которые не читали нотации, а просто делились опытом, задавали правильные вопросы и иногда вовремя говорили: «давай, у теб

20🔥18👏8😱3🙏2💘1

20 May 2026, 14:00 UTC907 views50 reactions2 Starsread 7 August 2026

Давно заметил одну закономерность. Когда у человека случается кризис, вокруг него моментально появляются люди. Когда у человека случается большой успех — круг вдруг резко сужается. Фраза «друг познаётся в беде» красивая, но, кажется, неполная. А возможно, даже немного вводящая в заблуждение. Потому что в беде поддержать проще. Роль понятна: человеку плохо — надо помочь, написать, приехать, побыть рядом. Это социальн

27🔥11👏6💯2🆒2💘1🤪1

12 May 2026, 16:47 UTC939 views57 reactionsread 7 August 2026
Photo

Каждую неделю мне прилетает много обратной связи по «Игре без масок». Это, честно говоря, очень приятно! Особенно когда присылают такие фотографии: книга буквально вся в закладках. Это самое ценное: не просто «прочитал», а остановился, отметил, захотел вернуться, поспорить, подумать дальше. Спасибо всем, кто читает, пишет, делится впечатлениями и отмечает свои места в книге. Для меня это очень ценно ❤️

28👍15🔥9🍾2🥰2💘1

16 Apr 2026, 12:58 UTC≈1,310 views26 reactionsread 7 August 2026
Video

Сейчас очень вирусится Maphra — вокалистка, которая за последние месяцы резко выстрелила на YouTube каверами на тяжёлые треки и буквально шокировала индустрию своим голосом. Последний кавер на песню ''Doomed'' набрал уже 15 миллионов просмотров за 2 месяца. При этом публичной информации о ней почти нет, и в интернете не утихают споры: это реальный голос или нейросети постарались. И вот это в истории с Maphra самое и

12💯6🔥5💘1😱1🆒1

12 Mar 2026, 17:11 UTC≈1,160 views43 reactionsread 7 August 2026

Часть 2 4) Быть лидером, а не просто сильным игроком Сильный игрок — это ещё не лидер. Лидер — это тот, кто может собрать 25 разных по психотипу людей, объяснить им стратегию, развести роли, пройти с ними через хаос, а потом ещё и справедливо разделить добычу так, чтобы никто не ушёл в истерику. И при этом не забыть потом провести разбор, указать на ошибки и сделать это так, чтобы люди вышли сильнее, а не просто оби

💯16124🔥4👏3custom 52539134703357360453💘1

12 Mar 2026, 17:10 UTC900 views30 reactionsread 7 August 2026

Про WoW! Вторая часть ниже. Я уже как-то признавался, что я жуткий задрот в игры. С точки зрения образования игры дали мне куда больше, чем разные топовые бизнес-школы. Особенно World of Warcraft (WoW). Кто не играл, расскажу вкратце: в World of Warcraft игроки развивают разных персонажей, объединяются в гильдии, ходят вместе в разные подземелья, убивают разных чудищ, делят добычу, конкурируют, конфликтуют, перемани

12🔥7🤩4custom 51929986363713305263custom 52539134703357360452💘1🆒1

Showing the 12 most recent of 20 posts we hold for @hardyblog. 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.

Stars beside a post are paid reactions — Telegram Stars, bought with money and spent on that post. They are a different unit from reactions and are never added to them, here or anywhere else on this page.

Polls

The poll we hold for this entry, as Telegram rendered it when we read the post. A poll’s figures keep moving after that, so each one is dated.

6 Jul 2026, 16:30 UTCAnonymous Poll149 voters

Год назад я писал про Алису и ее трансформацию в Алису AI. А теперь вопрос не к брендбуку, а к живым людям. Как вы сами ее называете в обычной жизни?

  1. Алиса97%
  2. Алиса AI3%

Shares as published. No per-option vote count is published by Telegram, so none is 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 20 most recent posts we hold, published 25 November 2025 to 5 August 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.

Citation-graph rank

Citation-graph rank — 596,237 of 1,478,351entries in the measured graph. A weighted position computed from the forward and mention edges below — republished posts weigh more than named mentions — and recomputed periodically, over the whole graph. Published only as this ordinal position, never as a score: a position is a fact, and a score printed beside one channel’s name would read as a verdict this register does not make. The two counts beneath stay separate for the same reason mentions are never summed with forwards anywhere else on this page — a named-by count costs nothing to manufacture. The top 100 by this measure, or how it is computed.

Forward network

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.

Mentions

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.

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 9 August 2026 — this entry's latest reading, not the date you are reading this.

“Hardy” (@hardyblog), 1,813 subscribers as measured 9 August 2026. Telegram Register, tgregister.com/channel/hardyblog.

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.