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Channel

Der Immigrant

@derimmigrant

Verified by Telegram

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

8,803subscribers

-38 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-1002067661256
TypeChannel
Username@derimmigrant
CreatedBetween 1 November 2023 and 31 May 2024— estimated from Telegram’s id allocation, not measured. How this range is calculated.
First recorded6 August 2026
Last confirmed live18 August 2026
Measurements held7
Confirmed unchanged1 time, most recently 18 August 2026
On Telegramt.me/derimmigrant

Growth

8,8038,8438,8236 August 2026 — 8,841 subscribers6 August 2026 — 8,841 subscribers6 August 2026 — 8,843 subscribers10 August 2026 — 8,822 subscribers12 August 2026 — 8,812 subscribers15 August 2026 — 8,807 subscribers18 August 2026 — 8,803 subscribers6 August 202618 August 2026
7 measurements spanning 12 days, net -38. 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 8,797–8,849 and does not start at zero.
Measurement log — every subscribers count we have recorded
Measured (UTC)SubscribersChange
18 Aug 2026, 18:048,803-4
15 Aug 2026, 19:148,807-5
12 Aug 2026, 14:258,812-10
10 Aug 2026, 00:458,822-21
6 Aug 2026, 14:418,843+2
6 Aug 2026, 07:158,841no change
6 Aug 2026, 07:078,841first reading

Engagement

34 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 17 pagesof Telegram’s post history, 20 posts per page.

ERR · 30 days
48.5%
avg views ÷ 8,803 subscribers
Avg views / post
4,270
34 posts measured
Reaction rate
3.16%
reactions ÷ views · ER floor
Posts in window
34
of 34 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 17 August 2026
Posts held34 (1 August 202617 August 2026)
Views total145,300
Reactions total4,588
Forwards / commentsnot exposed by the public surface — not measured, not estimated
Readings taken18 Aug 2026, 17:16 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
10s
Average length
10s

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

4,155 reactions across 32 posts, in 25 distinct kinds. The most used accounts for 34.2% of them.

Every reaction kind recorded on the sample, most used first
ReactionCountShareShare, drawn
😁1,42234.2%
68616.5%
💔2606.26%
👍2385.73%
😱2385.73%
🔥2275.46%
🤯2115.08%
😢1563.75%
💯1373.30%
🙏1082.60%
1032.48%
🥰862.07%
😭631.52%
🤪621.49%
🤬541.30%
🍾250.602%
😈250.602%
👌150.361%
🙉120.289%
🤔70.168%
5 further kinds200.481%

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 34 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 4,588reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.

Measured over the 34 most recent posts we hold, published 1 August 2026 to 17 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

17 Aug 2026, 18:55 UTC≈3,190 views242 reactionsread 18 August 2026
Photo

Вот это мой главный страх

😁92🤯75😱55💔18👍2

17 Aug 2026, 16:30 UTC≈3,320 views26 reactionsread 18 August 2026

Posted without readable text

19😢3😁2💯1😨1

17 Aug 2026, 15:00 UTC≈3,310 views188 reactionsread 18 August 2026
Photo

Вроде ничего не удивляет, а все равно удивляет (в дополнение с тем, что ему не дали последнее слово сказать нормально) Я когда на эти приговоры смотрю безумные, я думаю только одно — ну не может же быть, что они столько отсидят, это все должно закончиться раньше.

😢127🤬44💔115😁1

17 Aug 2026, 12:41 UTC≈3,410 views61 reactionsread 18 August 2026

Прочитал вчера в Economist текст о том, как брандмауэр, который был задуман для защиты немецкой демократии, стал работать против нее. Дело и в том, как он устроен — если не знаете, брандмауэр устроен так, что ни один закон не должен быть принят благодаря AfD — то есть партии должны все время проверять, не будет ли такого, что их закон будет принят благодаря поддержки AfD. Когда Мерц нарушил это правило в январе 2025

😭29😈18😁7👍43

17 Aug 2026, 11:56 UTC≈3,410 views230 reactionsread 18 August 2026
Photo

Дойче Бан подал в суд, чтобы недопустить итальянцев на немецких железных дорогах. Говорит, все будет только хуже. Между тем, опыт дргуих европейских стран показывает, что конкуренция на железных дорогах, даже загруженных, делает ситуацию лучше, а цены ниже. Надеюсь, Дойче Бан этот суд проиграет.

103🙏66😁42🤯118

16 Aug 2026, 09:32 UTC≈3,610 views70 reactionsread 18 August 2026
Photo

Жаркий нас ждет сентябрь. Это глава AfD в Саксонии-Анхальт. Вынос: самый опасный человек Германии.

😁36🤯22💯64👌2

16 Aug 2026, 08:44 UTC≈3,560 views79 reactionsread 18 August 2026

Столкнулся с патриотрическим возмущением рурчан, регион которых я обозвал долиной. Говорят, надо называть регион котлом (Ruhrpott). Котлом, хоть и правильно, называть отказываюсь, слишком много неприятных военных коннотаций, долиной этот регион совершенно легитимно называют по-английски, и менее легитимно по-русски (потому что долина реки Рур не совпадает с границами того, что мы обсуждаем), готов сойтись на компроми

36😁28👍9🙈4😱2

15 Aug 2026, 20:44 UTC≈3,670 views157 reactionsread 18 August 2026
Photo

Поехали в Рурскую долину осматривать биеннале современного искусства Манифесту (она раскидана по 12 церквям в 4 городах). Ощущения от Рурской долины: 1. Люди очень милые и добрые (не Берлин) 2. Очень чисто и уютно (не Берлин) 3. В музеях показывают сосиски (в Берлине такого тоже не встречал)

😁10132🍾18🙉5🔥1

13 Aug 2026, 15:07 UTC≈4,270 views26 reactionsread 18 August 2026
Video

Не был посреди Алекса, наверное, месяца полтора. За это время тут выросло здание

23😨3

13 Aug 2026, 13:59 UTC≈4,110 views50 reactionsread 18 August 2026
Photo

Решил разобраться с этим графиком, который показывает, что Берлин — король квартирных краж. Выяснилось, что не такой уж он и король. Почти 3/4 краж — это подвалы, а не квартиры. Если считать только квартиры, то в Берлине взломов меньше, чем в Лондоне. А половина статистики — это неудачный попытки краж. Также выяснил, что в Прецнлауэр Берге орудует гастролирующая банда грузинских взломщиков.

😱32🔥7😈7😁31

13 Aug 2026, 10:57 UTC≈4,010 views77 reactionsread 18 August 2026
Photo

Безопасно ли в Берлине? Давайте сравнивать В Берлине вас убьют с большей вероятностью, чем в Лондоне и Париже, примерно с той же, что и в Нью-Йорке, но если хотите острых впечатлений — вам в Чикаго. Ограбить вас тоже могут, но в Чикаго и Лондоне напороться на неприятности выше. Нью-Йорк безопаснее. Если у вас есть машина, то все скорее неплохо — так же, как в Париже, лучше, чем в Лондоне и гораздо лучше, чем в ЛА

😱5511🤬7🔥4

13 Aug 2026, 10:42 UTC≈4,250 views84 reactionsread 18 August 2026

Есть известный анекдот про автомобилистов — что, мол, купил машину и теперь все успеваю: и в сервис съездить, и на мойку, и заправиться. В целом все так, только с мойками в Германии конечно совершенно другая ситуация — труд дорогой, почти все мойки соответственно автоматические. В результате регулярно наблюдаю, как. люди на вполне дорогих едут в автоматическую мойку, потом выезжают, берут тряпку, выитрают свои мерсы

😁63🤯11🙉72😢1

Showing the 12 most recent of 34 posts we hold for @derimmigrant. 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 — 60,650 of 1,550,164entries 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 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.

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.

Q16666762 on Wikidata, read 16 August 2026
LabelIlya Krasilyshik
DescriptionRussian media manager, editor, publisher and public figure
X / Twitter@ikrasil

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

“Der Immigrant” (@derimmigrant), 8,803 subscribers as measured 18 August 2026. Telegram Register, tgregister.com/channel/derimmigrant.

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.