Telegram RegisterThe public register of Telegram

Channel

Алхимия высококлассной живописи

@Alchemyart

On this record: Topic · Observations · Also posting the same content · Growth · Engagement · What this channel posts · Reactions · Posts · Citations · Cite this entry

2,550subscribers

-3 since we began measuring on 7 August 2026

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

Register entry

Telegram ID-1001669353013
TypeChannel
Username@Alchemyart
CreatedBetween 1 December 2021 and 31 March 2023— estimated from Telegram’s id allocation, not measured. How this range is calculated.
First recorded7 August 2026
Last confirmed live12 August 2026
Measurements held3
Confirmed unchanged2 times, most recently 12 August 2026
On Telegramt.me/Alchemyart

Topic

Art & design — 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 11 August 2026 and assigned it the closest of 31 fixed categories, at 87% 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.

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 word for word on 1 other registered channel. They sit inside a group of 3 channels that share the same post bodies with each other. 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.

No sample pairs were kept for this entry. The counts below were measured, but without the pairs there is nothing here for you to open and check, so treat the relationship as recorded rather than demonstrated.

Every channel this entry shares post bodies with
ChannelMatching postsText overlapTypical gapPublished first
@ogivitelMK14 (8/8 hand-verifiable sample passed)1.00under a minutethis entry (113)

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. None of the 0 matches recorded here fall after that date, so for this entry we cannot say whether any of them carried a credit. The duplication is measured; the absence of attribution is not.

“Published first” means first in this corpus. We hold 15 comparable posts for this entry, running 3 April 2026 to 28 July 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).

Across the whole group of 3, the earliest publisher we hold is @Alchemyart — which is this entry. That is a statement about our reading window, not a claim of authorship.

Recorded under the key clone_source, last confirmed 7 August 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.

Also posting the same content

This channel’s posts match, word for word or near enough, posts on 2 other registered channels, found by comparing text fingerprints across every channel on the register. That matching has been checked by hand against the live Telegram pages and found reliable — 0 wrong of 45 pairs re-read.

Which channel, if either, published first is deliberately not shown. The same hand-check found that reading wrong 18 of 45 times — 60%, no better than a coin flip — because it depends on how deep our own crawl happened to reach into each channel’s history, not on when the content was actually first posted. This list is ordered by subscriber count, the same as every other listing on this site, never by which channel we think came first. Word-for-word matching has several ordinary explanations besides copying — a channel mirroring itself, an unattributed repost, or two channels independently repeating the same wire story — and this measurement cannot tell those apart. How this is measured.

Growth

2,5502,5532,551.57 August 2026 — 2,553 subscribers7 August 2026 — 2,553 subscribers10 August 2026 — 2,550 subscribers7 August 202610 August 2026
3 measurements spanning 3 days, net -3. 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 2,550–2,553 and does not start at zero.
Measurement log — every subscribers count we have recorded
Measured (UTC)SubscribersChange
10 Aug 2026, 01:232,550-3
7 Aug 2026, 09:312,553no change
7 Aug 2026, 09:212,553first reading

Engagement

15 posts held, back to 3 April 2026the 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
3.88%
avg views ÷ 2,550 subscribers
Avg views / post
99.0
1 post measured
Reaction rate
this channel exposes no reaction counts
Posts in window
1
of 15 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 28 July 2026
Posts held15 (3 April 202628 July 2026)
Views total99
Reactions total
Forwards / commentsnot exposed by the public surface — not measured, not estimated
Readings taken7 Aug 2026, 16:24 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
5m 25s
Average length
1m 21s

Measured directly from 4 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

10 reactions across 5 posts, in 1 kind.

Every reaction kind recorded on the sample, most used first
ReactionCountShareShare, drawn
10100.0%

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 6 of the 15 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 10reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.

Measured over the 15 most recent posts we hold, published 3 April 2026 to 28 July 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.

Recent posts

28 Jul 2026, 07:45 UTC99 viewsread 7 August 2026
Forwarded from @TOPartsekretPhoto

Одно пятно меняет всю картину. Сегодня увидите сами на практике Дело не в таланте автора и не в сюжете. Дело в законе, который старые мастера знали 500 лет назад: картина — живая система, где всё воздействует на всё. Свет ведёт взгляд, тон держит целое, одно пятно меняет всю работу. Сегодня в [19:00 мск] — бесплатный МК «Призма. 7 лучей мастерства». За 1,5 часа разложим мастерство на 7 лучей — как призма раскладыва

10 Jul 2026, 10:01 UTC186 viewsread 7 August 2026
Forwarded from @TOPartsekretPhoto

Оба правы. И оба проиграли — потому что ни один не сделал шаг. Леонардо да Винчи был человеком, который сделал этот шаг профессией. В его записных книжках есть строчка, которая переворачивает привычное зрение: "тень — не чёрная. В ней живёт цвет". 🔝Пять веков назад он смотрел на то же небо, те же лица, те же складки ткани, что и все вокруг, — и видел другое. Не потому что «гений от рождения». Потому что приучил себ

4 Jun 2026, 13:48 UTC286 viewsread 7 August 2026
Forwarded from @TOPartsekretPhoto

Последнее пламя великого мастера: тайна, исчезнувшая в костре 🔥 Перед самой смертью истощенный, 88-летний Микеланджело Буонарроти заперся в своей римской мастерской. Едва передвигая ноги, старый мастер развел огонь и начал методично бросать в него связки бумаг. В пламени исчезали детальные архитектурные чертежи, точные анатомические штудии и бесценные наброски к Сикстинской капелле и «Страшному суду». Зачем? ➡️ Ве

28 May 2026, 13:08 UTC265 viewsread 7 August 2026
Forwarded from @TOPartsekretVideo

В этом году умер великий «среднячок», преподав один урок миру… Скотт Адамс, создатель, легендарного комикса про Дилберта, никогда не был выдающимся художником — рисовал довольно средне. Он не был и лучшим студентом на своем курсе MBA, уступая многим в чистом бизнесе. 💡Но Скотт осознал важную вещь: он умел рисовать лучше 80% людей и понимал в бизнесе больше 80% людей. На стыке этих двух посредственных по отдельност

27 May 2026, 15:51 UTC200 viewsread 7 August 2026
Forwarded from @TOPartsekretPhoto

Что, если «гениальность» — это просто знание законов природы? Принято считать, что живопись высокого класса — удел избранных, которые десятилетиями набивали руку и искали неуловимое вдохновение. Но что, если существует пошаговый метод, который позволяет человеку, ни разу в жизни не державшему кисть, внезапно начать видеть глубину, объем и воздух так, как их видят мастера? Мы доказали, что это работает, на нашем вн

26 May 2026, 10:11 UTC175 views3 reactionsread 7 August 2026
Forwarded from @TOPartsekretPhoto

🕯️ Искусство в темноте: как осязание заменяет зрение Мастерская Эдгара Дега медленно погружалась в вечный сумрак. Привычный мир ярких красок, залитых светом балетных сцен и летящих пачек таял, превращаясь в размытые, серые пятна. Прогрессирующая болезнь глаз забирала у художника главное — зрение. К концу жизни знаменитый импрессионист практически полностью ослеп. Для любого живописца это означало бы конец. Но тольк

3

20 May 2026, 11:07 UTC226 viewsread 7 August 2026
Forwarded from @TOPartsekretPhoto

Как часовщик без диплома опозорил всех профессоров Флоренции? Завтра в эфире! В 1418 году огромный собор во Флоренции стоял без крыши. Купол диаметром 40 метров по законам тогдашней науки должен был рухнуть еще при строительстве. Профессора предлагали безумные идеи: например, засыпать собор землей с золотыми монетами, построить купол поверх этой горы, а затем заставить горожан бесплатно выкапывать золото, попутно о

19 May 2026, 10:17 UTC218 views1 reactionsread 7 August 2026
Forwarded from @TOPartsekretPhoto

Зачем Леонардо да Винчи часами гипнотизировал водовороты? В поздних дневниках мастера можно найти сотни страниц, сплошь исписанных зарисовками бурлящей воды. Леонардо мог часами сидеть на берегу, вглядываясь в речные потоки. Да Винчи обнаружил поразительную вещь: завихрения воды подчиняются ровно тем же математическим законам, что и закручивание человеческих волос в локонах или движение воздушных масс во время бури

1

7 May 2026, 08:20 UTC292 views2 reactionsread 7 August 2026
Forwarded from @TOPartsekretPhoto

За два века до появления фотографии Ян Вермеер уже писал боке. Вглядитесь в его полотна ⬆️ На грубой шерсти, на изгибе медного кувшина, на краю хлебной корки лежат нежные, светящиеся круги. То самое боке, которое человеческий глаз почти не замечает в повседневной жизни. Вермеер смотрел на мир через камеру-обскуру — ящик с линзой, проецирующий перевернутое изображение на поверхность. Он снял привычные фильтры созн

2

6 May 2026, 12:15 UTC244 views1 reactionsread 7 August 2026
Forwarded from @TOPartsekretVideo

В 19 веке художник Уильям Тернер приказал привязать себя к мачте корабля в самый разгар шторма. Ему было 67 лет. Матросы думали, что он сошел с ума. 🌊 В эпицентре бури он не просто наблюдал — он исследовал, как свет материализуется в воздухе. Тернер искал ответ на вопрос: «Где предел человеческих сил?». Творчество было для него единственным способом выжить и не утонуть в стихии. Он не рисовал небо. Он создавал све

1

1 May 2026, 08:13 UTC240 viewsread 7 August 2026
Forwarded from @TOPartsekretVideo

Живопись по законам физики🧑‍🔬 В этом видео мы приоткрываем шторку над нашей внутренней кухней. Это фрагмент закрытого разбора одной из самых дорогих и загадочных картин в истории — «Спасителя мира». Но самое интересное не в самой картине, а в том, что её технологический разбор мы делаем на примере работы нашей ученицы Аллы. Алла — любитель. Но глядя на холст, в это сложно поверить. Мы препарируем живопись как живой

27 Apr 2026, 12:51 UTC257 views0 reactionsread 7 August 2026
Forwarded from @TOPartsekretPhoto

ОДИН ЧЕЛОВЕК В ЗАЛЕ ЗНАЛ ЦЕНУ В 1958 году на аукцион Sotheby's выставили небольшое полотно. Стартовая цена — £45. Никто не знал, что это такое. 🏳️В зале был один человек, который смотрел иначе. Он видел не холст и краски — он видел качество изображения. Ту самую тонкость, глубину, живой воздух, которые не подделываются. Он купил за £45. Оказалось — утерянный Рафаэль. Прежние владельцы десятилетиями держали его у

Showing the 12 most recent of 15 posts we hold for @Alchemyart. 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

Republishes

Channels on the register whose posts this channel has forwarded.

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

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

“Алхимия высококлассной живописи” (@Alchemyart), 2,550 subscribers as measured 10 August 2026. Telegram Register, tgregister.com/channel/Alchemyart.

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.