Telegram RegisterThe public register of Telegram

Channel

Корчинський

@korchynskiy

On this record: Previous handles · Growth · Engagement · What this channel posts · Reactions · Posts · Citations · Cross-platform identity · Referenced elsewhere · Cite this entry

18,204subscribers

+114 since we began measuring on 6 August 2026

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

Register entry

Telegram ID-1001248435838
TypeChannel
Username@korchynskiy
Created2 July 2018measured — cross-checked against a third-party dataset (ext.tg_channel)
First recorded6 August 2026
Last confirmed live14 August 2026
Measurements held10
Confirmed unchanged1 time, most recently 14 August 2026
On Telegramt.me/korchynskiy

Previous handles

Recorded in 2019 as “Дмитро Корчинський — the title held for this same channel (matched by Telegram id, not by handle) in the Pushshift Telegram Dataset, a third-party archive captured in 2019-2020, years before this register made its own first observation. CC BY 4.0, Baumgartner, Zannettou, Squire & Blackburn (2020), Zenodo. A third party’s dated snapshot, not a measurement this register made itself.

Growth

18,09018,20518,147.56 August 2026 — 18,090 subscribers6 August 2026 — 18,090 subscribers7 August 2026 — 18,101 subscribers8 August 2026 — 18,126 subscribers8 August 2026 — 18,145 subscribers10 August 2026 — 18,144 subscribers10 August 2026 — 18,176 subscribers11 August 2026 — 18,189 subscribers13 August 2026 — 18,205 subscribers14 August 2026 — 18,204 subscribers18,2046 August 202614 August 2026
10 measurements spanning 8 days, net +114. 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 18,073–18,222 and does not start at zero.
Measurement log — every subscribers count we have recorded
Measured (UTC)SubscribersChange
14 Aug 2026, 04:4818,204-1
13 Aug 2026, 01:0218,205+16
11 Aug 2026, 23:2218,189+13
10 Aug 2026, 23:3218,176+32
10 Aug 2026, 01:3118,144-1
8 Aug 2026, 23:0118,145+19
8 Aug 2026, 00:1718,126+25
7 Aug 2026, 01:0718,101+11
6 Aug 2026, 02:1718,090no change
6 Aug 2026, 01:5318,090first reading

Engagement

56 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 18 pagesof Telegram’s post history, 20 posts per page.

ERR · 30 days
19.3%
avg views ÷ 18,204 subscribers
Avg views / post
3,520
56 posts measured
Reaction rate
3.31%
reactions ÷ views · ER floor
Posts in window
56
of 56 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 13 August 2026
Posts held56 (1 August 202613 August 2026)
Views total197,175
Reactions total6,522
Forwards / commentsnot exposed by the public surface — not measured, not estimated
Readings taken13 Aug 2026, 14:10 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
2m 50s
Average length
2m 50s

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

5,380 reactions across 48 posts, in 4 distinct kinds. The most used accounts for 46.0% of them.

Every reaction kind recorded on the sample, most used first
ReactionCountShareShare, drawn
2,47746.0%
🔥1,34625.0%
custom 592463367515616551896317.9%
🫡59411.0%

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 isTelegram’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 56 of the 56 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 6,522reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.

Measured over the 56 most recent posts we hold, published 1 August 2026 to 13 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

13 Aug 2026, 13:59 UTC276 views11 reactionsread 13 August 2026
Photo

Життя завжди хаотичне: непередбачуване, ніколи не зрозуміло що насправді на благо. Життя — як війна, яка завжди страждає від дефіциту інформації, ресурсів і часу. Ми не здатні не лише творити майбуття, але навіть передбачити його. Керувати можливо лише минувщиною, використовувати лише памʼять. Тому принципи важливіші за цілі, якість за мету. Ми всеодно рухаємося, навіть коли стоїмо, нас уносить вітер. Варто попіклув

7🫡3custom 59246336751561655181

13 Aug 2026, 11:02 UTC929 views35 reactionsread 13 August 2026
Forwarded from @CULTTHEATREPhoto

БУТИ ЧИ… | премʼєра Постапокаліптична трагікомедія про театр, який пережив людство 🗓️ 17 серпня о 19:00 📍Київ | вулиця Євгена Чикаленка 14 | 3 поверх (метро «Театральна) Світ закінчився. Після ядерної катастрофи від цивілізації залишилися лише уламки, спогади та речі, сенс яких давно втрачено. У закинутому театрі зустрічаються четверо людей. Вони ховаються від реальності, шукають сенс, намагаються відчути себе ж

24custom 59246336751561655189🔥2

13 Aug 2026, 08:03 UTC≈1,500 views78 reactionsread 13 August 2026
Photo

Карта захованих скарбів не потрібна людині, яка не вірить у заховані скарби. Біблія не потрібна людині, яка не вірить у Бога. «В земних справах треба спочатку пізнати, щоб полюбити. А в священних справах треба спочатку полюбити, щоб отримати здатність пізнати» Корчинський | Patreon | Мерч | Збір | Поставити питання

59custom 592463367515616551812🫡7

13 Aug 2026, 05:03 UTC≈1,880 views102 reactionsread 13 August 2026
Photo

🇺🇦 Найбільші за півтора року людські втрати окупантів та рекордні втрати ворожої автотехніки – досягнення Сил оборони України в липні. 🇺🇦 За даними Генерального штабу ЗСУ, минулого місяця було знищено або важко поранено 42 860 російських вояків. Це найвищий показник із січня 2025 року. Корчинський | Patreon | Мерч | Збір | Поставити питання

🔥8511custom 59246336751561655186

12 Aug 2026, 19:01 UTC≈2,320 views159 reactionsread 13 August 2026
Photo

Бог — як повітря. Не помічаєш, поки тобі на голову не одягнуть целофановий кульок, чи поки вітер не зібʼє з ніг. Бог відходить чи бʼє, аби ти помітив Його. Корчинський | Patreon | Мерч | Збір | Поставити питання

113custom 592463367515616551832🔥8🫡6

12 Aug 2026, 17:00 UTC≈2,420 views109 reactionsread 13 August 2026
Forwarded from @SBUkrPhoto

За матеріалами СБУ 15 років тюрми отримав клірик УПЦ (МП), який коригував обстріли Донеччини За доказовою базою контррозвідки та слідчих Служби безпеки 15 років увʼязнення з конфіскацією майна отримав агент фсб, якого СБУ викрила у квітні 2025 року на Донеччині. Зловмисник наводив ворожий вогонь на укріпрайони та бойові позиції Сил оборони на Новопавлівському напрямку. Як з’ясувало розслідування, коригуванням ворож

🔥83custom 5924633675156165518188

12 Aug 2026, 13:04 UTC≈2,580 views68 reactionsread 13 August 2026

Олья Полякова. ▶️ Дивитися: https://youtube.com/shorts/fBh38KV7k40 Корчинський | Patreon | Мерч | Збір | Поставити питання

custom 592463367515616551843🔥187

12 Aug 2026, 09:00 UTC≈2,680 views57 reactionsread 13 August 2026
Photo

Екзистенціальна комедія «Бути ЧИ» 17 серпня о 19:00 у КУЛЬТ театрі (Євгена Чикаленка 14) Сюжет: Кілька людей приходять до театру, щоб обрати собі ролі, але там вже ховаються ролі, які обирають їх. Коли граєш інше, стаєш собою. Квитки на виставу: https://cult.center/events/567 Корчинський | Patreon | Мерч | Збір | Поставити питання

38custom 592463367515616551810🔥6🫡3

12 Aug 2026, 05:02 UTC≈3,320 views171 reactionsread 13 August 2026
Photo

Олья Полякова спочатку стала ЛГБТ активісткою, а потім виступила проти ТЦК. Це природньо. Багато наших співвітчизників еволюціонують у зворотньому напрямку: ті, хто виступають проти 425 штурмового полку «Скеля» та проти 225 полку Олега Ширяєва, згодом неодмінно маршируватимуть на гей-параді. Корчинський | Patreon | Мерч | Збір | Поставити питання

custom 5924633675156165518106🔥40🫡187

11 Aug 2026, 18:01 UTC≈3,240 views93 reactionsread 13 August 2026

Полякова проти ТЦК та "режиму" Зеленського! Путін оголосить мобілізацію в рф! ▶️ Дивитися: https://youtu.be/BZo1gYsDL_E Корчинський | Patreon | Мерч | Збір | Поставити питання

62🔥18custom 592463367515616551813

11 Aug 2026, 11:01 UTC≈3,180 views68 reactionsread 13 August 2026

Двоє в літньому парку. ▶️ Дивитися: https://youtube.com/shorts/xShy3Ce-PPU Корчинський | Patreon | Мерч | Збір | Поставити питання

44🔥14🫡5custom 59246336751561655185

11 Aug 2026, 09:01 UTC≈3,060 views138 reactionsread 13 August 2026
Photo

Україна навскіс. Корчинський | Patreon | Мерч | Збір | Поставити питання

109custom 592463367515616551820🫡7🔥2

Showing the 12 most recent of 56 posts we hold for @korchynskiy. 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.

Citation-graph rank

Citation-graph rank — 28,961 of 1,183,361entries 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

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 17 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.

Cross-platform identity — Wikidata

A Wikidata item names this Telegram handle as belonging to the entity it describes. This is Wikidata’s claim, not a verification made by this register — nobody here confirmed that the account is genuinely operated by the entity named. Wikidata content is CC0; every fact below is dated to when it was read from Wikidata, not to when the association was first made there.

Q4234503 on Wikidata, read 9 August 2026
LabelDmytro Korchynsky
DescriptionUkrainian politician
X / Twitter@DKorchynskyi
YouTubeUCIHC63lhz3zdlkHF8Smxc6A

Referenced elsewhere

This handle named by sources this register does not control and did not measure — each shown exactly as found, attributed by name, dated to when it was read.

Wikipedia

One Wikipedia article names this handle in its article text, found by searching for a t.me link inside the article source. A citation is a notability signal, not a verification: nobody here confirmed the cited post is genuine or still says what the article quotes. Article text is CC BY-SA 4.0, Wikipedia contributors; snippets below are short excerpts.

Горовець Юрій Сергійович (uk.wikipedia.org)
“…на [[Байкове кладовище|Байковому кладовищі]]{{Cite web |url=https://t.me/korchynskiy/6025 |title=Відспівування відбудеться в Михайлівському соборі…”
read 9 August 2026

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

“Корчинський” (@korchynskiy), 18,204 subscribers as measured 14 August 2026. Telegram Register, tgregister.com/channel/korchynskiy.

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.