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Telegram profile photo for Александр Палиенко

Channel

Александр Палиенко

@alexanderpalienko

Verified by Telegram

On this record: Topic · Growth · Engagement · What this channel posts · Reactions · Stars · Posts · Posts edited after publishing · Citations · Telegram's recommendations · Cite this entry

68,787subscribers

+318 since we began measuring on 6 August 2026

Risers and fallers across the register · movement among entries of 31,623–100,000.

Register entry

Telegram ID-1001122975358
TypeChannel
Username@alexanderpalienko
DescriptionАналитик, футуролог, автор уникального метода трансформации личности. Канал «Футурология» - https://t.me/palienko_futurology_bot
Created4 September 2017measured — cross-checked against a third-party dataset (ext.tg_channel)
First recorded6 August 2026
Last confirmed live17 September 2026
Measurements held33
Confirmed unchanged1 time, most recently 17 September 2026
On Telegramt.me/alexanderpalienko

Topic

Religion — 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 63% 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.

Growth

68,46968,92468,696.56 August 2026 — 68,469 subscribers6 August 2026 — 68,469 subscribers6 August 2026 — 68,470 subscribers7 August 2026 — 68,541 subscribers8 August 2026 — 68,688 subscribers9 August 2026 — 68,682 subscribers10 August 2026 — 68,670 subscribers12 August 2026 — 68,691 subscribers13 August 2026 — 68,905 subscribers14 August 2026 — 68,890 subscribers16 August 2026 — 68,878 subscribers17 August 2026 — 68,862 subscribers18 August 2026 — 68,834 subscribers19 August 2026 — 68,815 subscribers20 August 2026 — 68,759 subscribers22 August 2026 — 68,748 subscribers23 August 2026 — 68,732 subscribers25 August 2026 — 68,702 subscribers26 August 2026 — 68,679 subscribers27 August 2026 — 68,654 subscribers28 August 2026 — 68,629 subscribers29 August 2026 — 68,924 subscribers30 August 2026 — 68,911 subscribers31 August 2026 — 68,893 subscribers1 September 2026 — 68,869 subscribers2 September 2026 — 68,866 subscribers3 September 2026 — 68,848 subscribers5 September 2026 — 68,913 subscribers9 September 2026 — 68,888 subscribers11 September 2026 — 68,857 subscribers13 September 2026 — 68,828 subscribers15 September 2026 — 68,796 subscribers17 September 2026 — 68,787 subscribers68,7876 August 202617 September 2026
33 measurements spanning 42 days, net +318. 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 68,401–68,992 and does not start at zero.
Measurement log — every subscribers count we have recorded, most recent 20 of 33
Measured (UTC)SubscribersChange
17 Sept 2026, 05:5968,787-9
15 Sept 2026, 08:2168,796-32
13 Sept 2026, 17:1568,828-29
11 Sept 2026, 19:1668,857-31
9 Sept 2026, 05:0068,888-25
5 Sept 2026, 22:2068,913+65
3 Sept 2026, 16:4068,848-18
2 Sept 2026, 07:5468,866-3
1 Sept 2026, 08:2868,869-24
31 Aug 2026, 08:0368,893-18
30 Aug 2026, 05:2668,911-13
29 Aug 2026, 08:2568,924+295
28 Aug 2026, 05:2568,629-25
27 Aug 2026, 07:4668,654-25
26 Aug 2026, 06:0668,679-23
25 Aug 2026, 02:3768,702-30
23 Aug 2026, 14:2868,732-16
22 Aug 2026, 00:5968,748-11
20 Aug 2026, 18:4568,759-56
19 Aug 2026, 17:3468,815first reading

Engagement

115 posts held, back to 29 July 2026the reader has not yet reached the start of this channel’s public history, so older posts may sit further back, unread. Read across 98 pages of Telegram’s post history, 20 posts per page.

ERR · 30 days
11.3%
avg views ÷ 68,787 subscribers
Avg views / post
7,760
53 posts measured
Reaction rate
5.04%
reactions ÷ views · ER floor
Posts in window
53
of 115 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 23 September 2026
Posts held115 (29 July 202623 September 2026)
Views total411,520
Reactions total20,723
Forwards / commentsnot exposed by the public surface — not measured, not estimated
Readings taken23 Sept 2026, 13:34 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
2,500
Videos
1,130
Links
4,580

Lifetime counters from Telegram’s own channel header, read 23 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
44m 55s
Average length
1m 36s

Measured directly from 28 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

43,880 reactions across 115 posts, in 4 distinct kinds. The most used accounts for 66.7% of them.

Every reaction kind recorded on the sample, most used first
ReactionCountShareShare, drawn
29,28766.7%
❤‍🔥7,14516.3%
🔥5,49712.5%
👍1,9514.45%

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 115 of the 115 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 43,880 reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.

Measured over the 115 most recent posts we hold, published 29 July 2026 to 23 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
962
across the posts below
Posts paid on
107
of 115 we hold a reading for · 93%
Most on one post
106
single highest reading

A paid reaction is a reader spending Telegram Stars — bought with money — on a post by @alexanderpalienko. 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 115 most recent posts we hold for this entry, published 29 July 2026 to 23 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.

Recent posts

23 Sept 2026, 10:00 UTC≈2,780 views193 reactions4 Starsread 23 September 2026
Photo

Диван — это уют, мягкость и комфорт. Дома диваны должны быть ярких цветов. Таким образом мы раскрываем свой потенциал, чувственность и гармонизируем себя на глубинных уровнях. Разрешаем себе развиваться на чувственном уровне и максимально эффективно резонировать в семье. А в офисе диваны должны быть серых, тёмных и бежевых тонов. Они создают нейтральную атмосферу, и мы эмоционально не вовлекаемся в тот или иной цвет

140🔥31❤‍🔥22

23 Sept 2026, 04:15 UTC≈3,610 views133 reactions1 Starread 23 September 2026
Video

На канале «Футурология» вышло новое видео. ФУТУРОЛОГИЯ. Выпуск 28 «Квантовый уровень. Сингулярность». Часть 2. ﹏﹏﹏﹏﹏﹏﹏﹏﹏﹏﹏﹏ Искусственный интеллект соединяет знания, которые человечество накопило, но на данный момент не может свести в единую картину самостоятельно. Это связано с утратой внутренней целостности: мы стали определять себя через профессии, достижения и убеждения, отодвинув чувствование и любовь. Технолог

101❤‍🔥15👍11🔥6

22 Sept 2026, 11:02 UTC≈4,340 views145 reactions1 Starread 23 September 2026
Photo

Мастермайнд — не лекция и не закрытый вебинар. Это живое взаимодействие внутри поля группы, которая собирается по подобию, — и само это поле усиливает каждого, кто в нём находится. Когда Александр и Николь разбирают ситуацию одного участника, воздействие идёт на всех. На Мастермайнде нет зрителей. Взаимодействие с видением Александра — всегда полёт в неизвестность. Тема мастермайнда задаёт направление, но не огранич

105🔥21❤‍🔥17👍2

22 Sept 2026, 06:14 UTC≈5,110 views431 reactions3 Starsread 23 September 2026
Photo

Растения — это живые существа, которые забирают гармонизацию на себя. В пространстве, где мы живём, важно, чтобы на первом месте была наша энергетика. Если растения находятся внутри этого пространства, они забирают часть нашей жизненной энергии, необходимой для гармонизации. В результате мы не полностью восстанавливаемся. При этом можно иметь зимний сад, балкон с большим количеством растений или цветы на подоконнике

304🔥71❤‍🔥48👍8

21 Sept 2026, 05:32 UTC≈5,890 views454 reactions5 Starsread 23 September 2026
Photo

Камень даёт структурную энергию с возможностью потом её преобразовывать. Он обостряет новизну, приводит к развитию, даёт очень много неизвестного и максимально убирает фильтры. Поэтому, если ваша работа связана с наукой, технологиями или разработкой программного обеспечения, лучше, чтобы пол в офисе был из камня. Дерево смягчает все процессы. Оно обволакивает, срезает острые углы, не даёт жёсткости и агрессии, котор

320🔥68❤‍🔥58👍8

19 Sept 2026, 07:11 UTC≈6,860 views247 reactions2 Starsread 23 September 2026
Video

Новое видео на Youtube — «Новый подход к изменениям: как связаны экология, воспитание и мышление — и почему перемены могут начаться с одной страны» Посмотреть полное видео можно на YouTube-канале Александра по ссылке — https://youtu.be/kI4XFqa7GJk ﹏﹏﹏﹏﹏﹏﹏﹏﹏﹏﹏﹏ Пластика становится больше, меры принимаются, а ощущение, что мы движемся к решению, так и не появляется. Мы ждём, когда договорятся государства, появится нов

❤‍🔥11898🔥31

18 Sept 2026, 09:02 UTC≈6,900 views352 reactions3 Starsread 23 September 2026
Voice message

Voice message, posted without a caption

242🔥51❤‍🔥45👍14

18 Sept 2026, 09:02 UTC≈6,760 views86 reactionsread 23 September 2026
Photo

Photo, posted without a caption

77❤‍🔥8🔥1

18 Sept 2026, 09:02 UTC≈6,710 views236 reactions4 Starsread 23 September 2026
File

File, posted without a caption

163❤‍🔥50🔥20👍3

18 Sept 2026, 09:02 UTC≈6,860 views265 reactions3 Starsread 23 September 2026
Photo

Существуют ли мужские и женские гормоны? В этом подкасте разбираем, как на самом деле устроены фабрики, которые их производят — из какого сырья, по какой команде и почему одна и та же линия работает у всех: • почему морщины приходят раньше срока; • какие гормоны на самом деле влияют на агрессию; • что отключается в организме первым, едва появляется лишний вес; • что обычная ватная палочка в ванной говорит о ваших г

199❤‍🔥43👍20🔥3

17 Sept 2026, 05:03 UTC≈7,540 views487 reactions56 Starsread 23 September 2026
Photo

Мир не фон. Он постоянно взаимодействует с нами, а мы — с ним. Каждым своим выбором, чаще всего даже не замечая этого. Буквально всё, чем мы себя окружили, уже работает — на нас или против нас. Знаем мы об этом или нет. А за каждым выбором стоит рефлекс: почему мы берём яблоко, а не грушу, почему кладём паркет, а не мрамор. И главное — сделан этот выбор из страха боли или из развития и реализации. На этой встрече р

321❤‍🔥89🔥62👍15

16 Sept 2026, 11:04 UTC≈6,820 views190 reactions14 Starsread 23 September 2026
Photo

Этот Мастермайнд — работа с намерением конкретного человека. Практическая коррекция тех намерений, с которыми участник живёт прямо сейчас. Ждём людей с высокой чувствительностью, с внутренним ощущением стержня, с желанием и готовностью действовать, с умением быстро переключаться. И тех, кто готов брать на себя ответственность. Александр и Николь будут разбирать намерения каждого участника: как он действует, как взаи

126❤‍🔥32🔥24👍8

Showing the 12 most recent of 115 posts we hold for @alexanderpalienko. 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.

Posts edited after publishing

@alexanderpalienko edited 2 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.

First edit seen
22 August 2026
Most recent edit
3 September 2026

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 5 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.

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.

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.

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@vselenamaster_ps · 74,737
#63
Екатерина Прохорцева| психология роста сознания
@kate_proh · 37,433
#64
✨Екатерина Петерсил✨
@katepetersil · 7,074
#65
Аяз
@AyazShabutdinov · 179,791
#66
Петр Лупенко
@peka_pohudel · 90,438
#67
ЮЛИЯ МЕНЬШОВА
@JuliaMenshovaJulia · 359,204
#68
Светлана Драган
@svetlanadragan · 114,995
#69
Алексей Ситников
@drSit · 99,578
#70
Sofia Stuzhuk
@sofia_stuzhuk_official · 306,627
#71
Алесь Улищенко | Врач-остеопат, канд. мед. наук | Автор фейспластики
@dr_ales · 465,399
#72
Катерина Ленгольд
@Katerinalengold · 71,428
#73
Дмитрий Лапшинов ЗОЖ
@dmitrii_lapshinov · 24,649
#74
Продюсер Kartoz
@kartozz · 123,731
#75
Стрелец-Молодец
@strelets_molodec · 355,464
#76
SASHA BELAIR
@ab_chat · 134,036
#77
K0Splay
@K0Splay · 3,216
#78
Ольга Гогаладзе
@profinansy · 577,646
#79
Канал Ксении Зозуля
@ksenia_zozulia_psy · 1,229 (as read 20 August 2026)
#80
ГУЗЕЛЬ САФИНА | реализация | мышление
@guzelsafinaa · 4,819
#81
Константин Дараган 🔶 Комментарий астролога️
@daragan_konstantin · 208,961
#82
Послания Вселенной | idream.ru
@sofipranoidream · 17,768
#83
MMARGO
@mmargosavchuk · 119,670
#84
Виктория Боня
@bonyaviktorya · 609,319
#85
Мари, ну что?
@mari_vse · 18,528
#86
ainspiracja
@ainspiracja · 37,546
#87

Read from Telegram’s recommendation API, most recently 20 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.

КРУГ СИЛЫ с Оксузян Робертом
@robert_oksuzyan · 32,968
Telegram ranks this channel #3 of 92 here — alongside 91 others — read 4 September 2026
Сергей Кулаков | Космопсихология
@cosmopsychologyonline · 26,284
Telegram ranks this channel #6 of 96 here — alongside 95 others — read 12 September 2026
Валерий Синельников. Школа Здоровья и Радости
@SinelnikovChanel · 30,208
Telegram ranks this channel #16 of 96 here — alongside 95 others — read 7 September 2026
Переход в ТАК. ДОМ
@prostovtak · 25,528
Telegram ranks this channel #17 of 94 here — alongside 93 others — read 14 September 2026
Дмитрий Троцкий и команда
@alhimik108 · 39,675
Telegram ranks this channel #18 of 87 here — alongside 86 others — read 30 August 2026
Михаил Дементьев. Кинетический интеллект
@kintellect · 36,355
Telegram ranks this channel #19 of 90 here — alongside 89 others — read 1 September 2026
Александр Свияш
@ag_sviyash · 21,999
Telegram ranks this channel #20 of 87 here — alongside 86 others — read 22 September 2026
ОШО | Путь внутрь
@oshorussian · 23,156
Telegram ranks this channel #21 of 93 here — alongside 92 others — read 19 September 2026
Псидваноль Развитие
@psy20_official · 23,705
Telegram ranks this channel #23 of 91 here — alongside 90 others — read 18 September 2026
Дмитрий Лапшинов ЗОЖ
@dmitrii_lapshinov · 24,649
Telegram ranks this channel #25 of 93 here — alongside 92 others — read 15 September 2026
Исцеляющие Медитации
@livanda_meditation · 30,600
Telegram ranks this channel #26 of 94 here — alongside 93 others — read 9 September 2026
Vadim Zeland Official
@VadimZeland_Official · 43,408
Telegram ranks this channel #26 of 89 here — alongside 88 others — read 28 August 2026
Михаил Фатеев
@mihailfateev · 22,885
Telegram ranks this channel #31 of 79 here — alongside 78 others — read 19 September 2026
Ада Кондэ - личный канал - Ada Conde
@Adaconde1 · 125,344
Telegram ranks this channel #31 of 93 here — alongside 92 others — read 13 August 2026
Елизавета Бабанова | Женский Расцвет
@elizavetababanovacom · 26,335
Telegram ranks this channel #32 of 94 here — alongside 93 others — read 12 September 2026
Канал ❤️‍🔥Инны Маруниной
@energy_marunina · 57,303
Telegram ranks this channel #32 of 86 here — alongside 85 others — read 23 August 2026
Магеря Чистка
@mageryachistka · 156,007
Telegram ranks this channel #34 of 85 here — alongside 84 others — read 12 August 2026
Канал Счастья
@sitartur · 29,024
Telegram ranks this channel #35 of 85 here — alongside 84 others — read 8 September 2026
Хакаматон — программы Ирины Хакамада 🈺
@hakamatonproject · 31,034
Telegram ranks this channel #35 of 91 here — alongside 90 others — read 6 September 2026
Вадим Зеланд - Трансерфинг реальности
@zelandbox · 79,691
Telegram ranks this channel #37 of 91 here — alongside 90 others — read 18 August 2026
Трансерфинг реальности
@transerfing_realnosti_tyt · 149,488
Telegram ranks this channel #37 of 91 here — alongside 90 others — read 12 August 2026
Мир Валентины Ко́гут
@mir_kogut · 21,529
Telegram ranks this channel #38 of 82 here — alongside 81 others — read 23 September 2026
Лазарев Сергей Николаевич
@S_N_Lazarev · 62,312
Telegram ranks this channel #40 of 91 here — alongside 90 others — read 22 August 2026
Астролог Павел Андреев
@mylablife · 99,811
Telegram ranks this channel #42 of 95 here — alongside 94 others — read 15 August 2026

This channel appears in 74 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.

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 17 September 2026 — this entry's latest reading, not the date you are reading this.

“Александр Палиенко” (@alexanderpalienko), 68,787 subscribers as measured 17 September 2026. Telegram Register, tgregister.com/channel/alexanderpalienko.

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.