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Channel

Magnum Photos | Official

@MAGNUM_photos

On this record: Topic · Growth · Engagement · Reactions · Posts · Citations · Telegram's recommendations · Cite this entry

9,806subscribers

+49 since we began measuring on 6 August 2026

Risers and fallers across the register · movement among entries of 3,162–10,000.

Register entry

Telegram ID-1001380895929
TypeChannel
Username@MAGNUM_photos
Created4 May 2019measured — cross-checked against a third-party dataset (ext.tg_channel)
First recorded6 August 2026
Last confirmed live18 September 2026
Measurements held14
Confirmed unchanged1 time, most recently 18 September 2026
On Telegramt.me/MAGNUM_photos

Topic

Art & design — 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 11 September 2026 and assigned it the closest of 31 fixed categories, at 99% 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

9,7489,8069,7776 August 2026 — 9,757 subscribers7 August 2026 — 9,755 subscribers9 August 2026 — 9,761 subscribers12 August 2026 — 9,754 subscribers16 August 2026 — 9,748 subscribers19 August 2026 — 9,751 subscribers23 August 2026 — 9,762 subscribers26 August 2026 — 9,771 subscribers29 August 2026 — 9,778 subscribers1 September 2026 — 9,780 subscribers5 September 2026 — 9,784 subscribers10 September 2026 — 9,774 subscribers14 September 2026 — 9,799 subscribers18 September 2026 — 9,806 subscribers6 August 202618 September 2026
14 measurements spanning 43 days, net +49. 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 9,739–9,815 and does not start at zero.
Measurement log — every subscribers count we have recorded
Measured (UTC)SubscribersChange
18 Sept 2026, 19:569,806+7
14 Sept 2026, 17:219,799+25
10 Sept 2026, 19:029,774-10
5 Sept 2026, 18:219,784+4
1 Sept 2026, 16:039,780+2
29 Aug 2026, 20:259,778+7
26 Aug 2026, 10:259,771+9
23 Aug 2026, 05:459,762+11
19 Aug 2026, 09:569,751+3
16 Aug 2026, 08:529,748-6
12 Aug 2026, 18:549,754-7
9 Aug 2026, 20:579,761+6
7 Aug 2026, 01:519,755-2
6 Aug 2026, 17:189,757first reading

Engagement

35 posts held, back to 1 August 2026the reader has not yet reached the start of this channel’s public history, so older posts may sit further back, unread. Read across 35 pages of Telegram’s post history, 20 posts per page.

ERR · 30 days
7.88%
avg views ÷ 9,806 subscribers
Avg views / post
772
5 posts measured
Reaction rate
3.63%
reactions ÷ views · ER floor
Posts in window
5
of 35 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 August 2026
Posts held35 (1 August 202628 August 2026)
Views total3,862
Reactions total140
Forwards / commentsnot exposed by the public surface — not measured, not estimated
Readings taken29 Aug 2026, 05:12 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.

Reaction mix

1,140 reactions across 34 posts, in 8 distinct kinds. The most used accounts for 65.3% of them.

Every reaction kind recorded on the sample, most used first
ReactionCountShareShare, drawn
74465.3%
👍20518.0%
🔥15113.2%
👏292.54%
👎50.439%
🤩40.351%
😁10.088%
🤔10.088%

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 34 of the 35 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 1,140 reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.

Measured over the 35 most recent posts we hold, published 1 August 2026 to 28 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.

Recent posts

28 Aug 2026, 08:18 UTC647 views36 reactionsread 29 August 2026
Photo

🔎 Почему фотография выглядит так 🎞Плёнка, на которую снимали великие. Kodak Tri-X В 1954 году Kodak выпустил 35-мм версию Tri-X. Чёрно-белую плёнку, которая вскоре оказалась в камерах крупнейших фотографов XX века. На неё снимали Анри Картье-Брессон, Роберт Франк, Эллиотт Эрвитт, Йозеф Куделка, Гарри Виногранд, Брюс Дэвидсон, Себастьян Сальгадо. Tri-X была быстрой — ISO 400. Она позволяла снимать с рук, работать в

👍2310🔥3

27 Aug 2026, 08:01 UTC793 views15 reactionsread 29 August 2026
File

📚 Библиотека фотографа С. В. Евгенов «100 лет фотографии. 1839–1939. Дагер, Ньепс, Тальбот». 1938 Редкое издание об истории рождения фотографии, выпущенное накануне её столетия. В центре книги — три человека, стоявшие у истоков нового способа получать изображение: Жозеф Нисефор Ньепс, Луи Дагер и Уильям Генри Фокс Тальбот. Их опыты, первые процессы, открытия и борьба за способ сохранить изображение, созданное светом

👍9🔥6

26 Aug 2026, 07:13 UTC985 views33 reactionsread 29 August 2026
Photo

👤 Люди фотографии Дебора Тёрбевилл (Deborah Turbeville) 1932–2013 Дебора Тёрбевилл пришла в фотографию из самой модной индустрии: работала моделью, ассистентом дизайнера Клэр Маккарделл, затем редактором моды в Harper’s Bazaar и Mademoiselle. В 1966 году она училась на курсе Ричарда Аведона и Марвина Израэла — и уже первые её снимки отличались расфокусом и технической «неправильностью», которая впоследствии стала её

22🔥6👏3👍1🤔1

25 Aug 2026, 16:36 UTC794 views23 reactionsread 27 August 2026
Photo

Личный канал фотографа и путешественника Алексея Терентьева. Очень субъективные заметки, в которых переплетены жизнь и фотография. Делюсь опытом, идеями, наработками. Всегда честно и искренне. - Что стоит за тем или иным кадром. Как это снято. - Связь между мировыми шедеврами живописи, кино, литературы и фотографией. Что у них общего. Зачем вообще фотографу история искусств. - Все о портрете, как о любимом жанре. -

13👍6🔥4

25 Aug 2026, 10:18 UTC643 views33 reactionsread 25 August 2026
Photo

🔎 Новая съёмка Энн Хэтэуэй для Vogue China. Сентябрь 2026 Строгая студийная фотография, минимум декораций и почти вся работа строится на пластике, жесте и характере света. Чёрно-белые кадры сменяются насыщенным цветом, но визуальный язык серии остаётся цельным. 📷 Фотограф — Норман Джин Рой (Norman Jean Roy).

25👍6🔥1🤩1

24 Aug 2026, 07:29 UTC640 views35 reactionsread 25 August 2026
Photo

🎬 Как это было снято Филипп Халсман — «Мэрилин Монро в прыжке», Нью-Йорк, 1959 В 1959 году журнал LIFE готовил большой материал о знаменитой «джампологии» Филиппа Халсмана. Для съёмки пригласили Мэрилин Монро. Метод был прост: после обычного портрета Халсман просил человека прыгнуть. Он считал, что во время прыжка трудно одновременно контролировать тело, лицо и привычную позу перед камерой. На несколько мгновений че

19👍11🤩3👏1😁1

23 Aug 2026, 06:35 UTC≈1,010 views34 reactionsread 25 August 2026
Photo

📝 Мысли фотографа Ричард Аведон (Richard Avedon) 1923–2004 Американский фотограф, один из крупнейших мастеров портрета и fashion-фотографии XX века. Несколько его мыслей о камере, портрете и работе с человеком. ✒️ Фотография может быть точной — и при этом не быть правдой. ✒️ Портрет — не просто сходство с человеком. Как только факт или эмоция становятся фотографией, они превращаются в мнение фотографа. ✒️ Человек

20👍14

22 Aug 2026, 07:41 UTC880 views45 reactionsread 25 August 2026
Photo

📷 Фотосерия Фред Херцог. Ванкувер в цвете Фред Херцог приехал в Ванкувер из Германии в 1953 году и следующие десятилетия снимал город, по которому практически постоянно ходил с камерой. Улицы, дешёвые гостиницы, парикмахерские, магазины, Chinatown, автомобили, прохожие, рекламные вывески и рабочие кварталы. Главное отличие — цвет. В 1950–60-е годы художественная фотография оставалась почти исключительно чёрно-белой.

28👍12👏5

21 Aug 2026, 07:57 UTC≈1,050 views34 reactionsread 25 August 2026
Photo

🎞 История одного кадра Ричард Аведон. «Довима со слонами», 1955 Париж. Август 1955 года. Ричард Аведон приехал в Cirque d’Hiver снимать новую коллекцию Christian Dior для Harper’s Bazaar. Место для съёмки уже было выбрано. Потом Аведон увидел слонов. Под огромным стеклянным куполом цирка на них падал естественный свет. План изменился. Перед камерой стояла Довима — одна из самых известных моделей 1950-х. На ней было

20👍9🔥5

20 Aug 2026, 07:45 UTC≈1,050 views5 reactionsread 25 August 2026
Photo

🔻В течение трех дней каждый (любой) материал по фотографии можно приобрести за 1000 руб или все 10 материалов за 5000 руб. ▪️Доступ получаете постоянный 📲 За доступом обращайтесь к админу @Photo_cor 📍Список доступных материалов от разных мастеров, но все они о фотографии и для вас: ✒️ Курс «Искусство фотографии» Георгий Пинхасов. ✒️ Курс «Мастерство фоторепортажа» Сергей Пономарев. ✒️ Курс «Постобработка и печа

3👎2

19 Aug 2026, 08:31 UTC982 views24 reactionsread 21 August 2026
File

📚 Библиотека фотографа Л. П. Дыко, А. Д. Головня «Фотокомпозиция» Москва, «Искусство», 1962 Не просто старый советский учебник по фотографии. Эта книга — о вещах, которые почти не устарели. Как строить кадр. Как выбирать точку съёмки и расстояние до объекта. Как работать с перспективой и светом, линией и тоном, передавать пространство, объём и фактуру. Авторы разбирают композицию на конкретных фотографиях, объясняют

15👍6🔥3

Showing the 12 most recent of 35 posts we hold for @MAGNUM_photos. 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

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 1 registered channel — 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.

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.

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.

Медведев Фотография
@fotomedvedev · 27,457
Telegram ranks this channel #4 of 86 here — alongside 85 others — read 10 September 2026
Argentum
@fotoartset · 49,501
Telegram ranks this channel #10 of 89 here — alongside 88 others — read 26 August 2026
Фотожир
@photozhir · 21,595
Telegram ranks this channel #17 of 94 here — alongside 93 others — read 23 September 2026
Дмитрий Марков
@idcim · 47,247
Telegram ranks this channel #19 of 73 here — alongside 72 others — read 21 September 2026
f/64
@sixtyfourmag · 71,709
Telegram ranks this channel #28 of 88 here — alongside 87 others — read 20 August 2026
разные фотографы, разные тела | Фотография
@gcl_tg · 43,552
Telegram ranks this channel #30 of 56 here — alongside 55 others — read 28 August 2026
@gustarev [365] 🔥
@gustarev365 · 24,538
Telegram ranks this channel #35 of 68 here — alongside 67 others — read 16 September 2026
Aurum🔻
@glossariumart · 24,727
Telegram ranks this channel #46 of 80 here — alongside 79 others — read 15 September 2026
VISIONROOM
@visionroom · 23,847
Telegram ranks this channel #50 of 83 here — alongside 82 others — read 17 September 2026
Lr - обработка фото - vk.com/lightroomcc
@ilovelightroomcc · 51,286
Telegram ranks this channel #69 of 80 here — alongside 79 others — read 25 August 2026
Артём Гришин про фотографию
@grishin1 · 48,949
Telegram ranks this channel #77 of 89 here — alongside 88 others — read 26 August 2026
N С К У С С Т В О
@NCKYCCTBO · 31,554
Telegram ranks this channel #78 of 88 here — alongside 87 others — read 6 September 2026
МАКС ДОБРЫЙ ПЕЧАТАЕТ...
@maksimdobryy · 30,100
Telegram ranks this channel #82 of 85 here — alongside 84 others — read 20 September 2026

This channel appears in 13 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 18 September 2026 — this entry's latest reading, not the date you are reading this.

“Magnum Photos | Official” (@MAGNUM_photos), 9,806 subscribers as measured 18 September 2026. Telegram Register, tgregister.com/channel/MAGNUM_photos.

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.