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Channel

Data distributor

@sterngang

On this record: Topic · Observations · Growth · Engagement · What this channel posts · Reactions · Stars · Posts · Posts edited after publishing · Posts recorded as deleted · Citations · Handles named that no longer answer · Telegram's recommendations · Cite this entry

21,112subscribers

+3,006 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-1001793209682
TypeChannel
Username@sterngang
DescriptionНовости, исследования, IT, анализ данных С профессиональными вопросами и предложениями к @DeMN_IS С рекламой к @jmqa_ADS Чат канала: @data_distributor_co МАХ: https://max.ru/sterngang ВК: https://vk.com/sterngang
Created13 December 2021 — measured — cross-checked against a third-party dataset (ext.tg_channel)
First recorded6 August 2026
Last confirmed live5 November 2026
Measurements held62
Confirmed unchanged1 time, most recently 5 November 2026
On Telegramt.me/sterngang

Topic

International news — 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 10 August 2026 and assigned it the closest of 31 fixed categories, at 48% 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 the other topics.

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.

Views per post sit far above this size band

20,600 average views per post against 21,092 subscribers — an engagement rate of 97.8%. Across the 21,335 registered channels in the same cohort — 10,000–31,621 subscribers, posting mainly in Russian — the middle half sit between 5.84% and 23.6%, with a median of 12.1%.

What this was computed from
Window30 days (6 October 2026 – 5 November 2026)
Posts measured23 of 23 published in the window (0 exact, 23 rounded by Telegram)
Views totalled474,550
Mature posts only99.1% over 22 posts read at least 24h after publication
Subscribers21,092 measured 4 November 2026
Cohortb10000:rus · 21,335 channels · p10 2.94% · p25 5.84% · p50 12.1% · p75 23.6% · p90 42.5%
Position in cohort99.180th percentile · 8.1× the cohort median
Uncertainty±0.14% of the figure, from Telegram’s rounding
Post languageRussian · 100.0% of the window’s posts

When this is recorded. A channel is listed here only when its engagement rate sits at or above the 99th percentile of its cohort and is at least 3× away from that cohort’s median — above it — on both the all-readings figure and the mature-only figure. The percentile alone would be circular: a percentile cut puts the same share of every cohort in the tail whatever the data looks like. The distance from the median is what makes it a statement about this channel.

This is not a verdict, and the direction is not a quality signal. A low rate has many innocent causes — audiences that read in the Telegram app without opening the channel, a subscriber base built long before the current output, an audience in a different timezone from our reading. A high rate has innocent causes too: a post that travelled far beyond the channel’s own subscribers will do it. We publish the measurement and the distribution it sits in. The full cohort baselines are downloadable, so this comparison can be reproduced rather than trusted.

Recorded under the key err_high, last confirmed 5 November 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.

Growth

18,07821,11219,5956 August 20265 November 2026
62 measurements spanning 92 days, net +3,006. 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 17,623–21,567 and does not start at zero.
Measurement log — every subscribers count we have recorded, most recent 20 of 62
Measured (UTC)SubscribersChange
5 Nov 2026, 17:2821,112+20
4 Nov 2026, 17:3621,092+27
3 Nov 2026, 20:2021,065+55
2 Nov 2026, 19:5021,010-11
1 Nov 2026, 20:4621,021+6
31 Oct 2026, 23:0621,015+7
31 Oct 2026, 01:0921,008+28
30 Oct 2026, 02:3720,980+1
29 Oct 2026, 03:1020,979+13
28 Oct 2026, 02:4120,966+22
27 Oct 2026, 03:2920,944+5
26 Oct 2026, 02:3920,939+1
25 Oct 2026, 01:4520,938-5
24 Oct 2026, 00:5520,943+19
23 Oct 2026, 03:5620,924+7
22 Oct 2026, 03:3520,917+25
20 Oct 2026, 23:5820,892+33
20 Oct 2026, 02:0820,859+10
19 Oct 2026, 04:4020,849+24
18 Oct 2026, 01:5820,825first reading

Engagement

88 posts held, back to 17 July 2026 — the reader has not yet reached the start of this channel’s public history, so older posts may sit further back, unread. Read across 68 pages of Telegram’s post history, 20 posts per page.

ERR · 30 days
99.3%
avg views ÷ 21,112 subscribers
Avg views / post
21,000
23 posts measured
Reaction rate
0.939%
reactions ÷ views · ER floor
Posts in window
23
of 88 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 4 November 2026
Posts held88 (17 July 2026 – 4 November 2026)
Views total482,300
Reactions total4,530
Forwards / commentsnot exposed by the public surface — not measured, not estimated
Readings taken6 Nov 2026, 02:58 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
≈1,590
Videos
≈7
Links
≈837

Lifetime counters from Telegram’s own channel header, read 6 November 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.

Reaction mix

15,856 reactions across 88 posts, in 41 distinct kinds. The most used accounts for 26.6% of them.

Every reaction kind recorded on the sample, most used first
ReactionCountShareShare, drawn
👍4,22526.6%
✍2,91818.4%
😱1,4999.45%
😁1,4979.44%
😭7744.88%
🎉7444.69%
🤯5133.24%
❤5103.22%
🤔5033.17%
😢4072.57%
🌚3202.02%
💯3151.99%
🤬2991.89%
🤣2631.66%
🙊1711.08%
🤡1701.07%
🙏1330.839%
🙉1150.725%
😡950.599%
🔥710.448%
21 further kinds3141.98%

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 88 of the 88 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 15,856 reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.

Measured over the 88 most recent posts we hold, published 17 July 2026 to 4 November 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
6
across the posts below
Posts paid on
5
of 88 we hold a reading for · 6%
Most on one post
2
single highest reading

A paid reaction is a reader spending Telegram Stars — bought with money — on a post by @sterngang. 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 88 most recent posts we hold for this entry, published 17 July 2026 to 4 November 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

Telegram’s own ‘edited’ marker: 4 of 23 posts held from the last 30 days (17.4%) carried it when this register last read them. The marker says a post was changed after publishing, not what it said before — this register holds the earlier wording only where an edit fell between two of its own reads (see the edit ledger and how it is measured).

4 Nov 2026, 12:48 UTC≈18,300 views231 reactionsread 6 November 2026

Posted without readable text

🤣105🎉48✍42😁22😢14

3 Nov 2026, 14:07 UTC≈7,020 views172 reactionsread 6 November 2026
Photo

На постсоветском пространстве в Центральной Азии рождаемость в 2.5-3.5 раза выше уровней европейских республик региона Постсоветское пространство чем-то напоминает современную ситуацию с рождаемость в мире в целом. От стран, где коэффициент рождаемости (СКР) в разы меньше порога, необходимого для воспроизводства (2.08-2.12 ребёнка), при том в которых продолжается падение, до государств, где демографический взрыв уст…

✍84😱53🌚20🙉10🖕5

3 Nov 2026, 07:05 UTC≈5,850 views41 reactionsread 6 November 2026

Уважаемые подписчики, Представляем вашему вниманию подборку каналов в сфере «Образование и наука» Обязательно найдете для себя массу полезных и познавательных материалов. 📁Ссылка на папку: https://t.me/addlist/GWa5SZRHwYxkY2E6

🤡21❤7👍6🙊5🙉2

2 Nov 2026, 14:26 UTC≈8,130 views171 reactionsread 6 November 2026
Photo

За 37 лет доля Юго-востока в рождениях Украины упала с 47% до 23%, Запада (Галиции) выросла с 25% до 39% — страна сменила свой культурный облик В условиях, когда на Востоке Украины на одного родившегося приходится 5-7 умирающих, а на Западе «лишь» 1.8-2.5, очевидно, что демографический вес последнего становится всё заметнее. Если рассматривать весь постсоветский период истории страны, речь в принципе о смене ролей, …

✍73😱57👍27❤7🤯7

1 Nov 2026, 20:57 UTC≈30,500 views288 reactionsread 6 November 2026
Photo

На одно рождение в Украине приходится 3.55 смерти — на востоке страны соотношение достигает 19:1 За первые шесть месяцев 2026 г., по данным Минюста Украины, в стране родились 73 292 ребёнка, умерли 259 853 человека. Таким образом, на одного новорождённого приходится 3.55 смерти. В региональном разрезе ситуация ещё страшнее: в восточных областях количество смертей превышает число рождений в пять и более раз. От 4.96…

😱91😭88✍48🎉36👍25

31 Oct 2026, 12:38 UTC≈20,500 views247 reactionsread 6 November 2026
Photo

Доля подтверждённых убитых и пропавших в регионах Украины достигает 4% от всех трудоспособных мужчин, 1 из 25 На конец октября 2026 г. подтверждены ФИО и личные данные более 210 тысяч погибших и пропавших военнослужащих Украины. По разным украинским и международным оценкам, к 2023 г. в стране оставалось немногим более 8 млн мужчин трудоспособного возраста 18-60 лет. Следовательно, 2.51% всех трудоспособных мужчин по…

😱96😢84🎉31✍22🔥14

30 Oct 2026, 14:40 UTC≈24,400 views220 reactionsread 6 November 2026

Posted without readable text

😱72😭71✍43👍22🕊12

27 Oct 2026, 16:55 UTC≈14,000 views267 reactions1 Starread 6 November 2026
Photo

Экстремально низкая рождаемость становится нормой: к 2026 г. меньше 1 ребёнка на женщину зафиксировано в 11 странах, ещё в 6 рождаемость 1.00-1.10 Когда речь заходит о демографическом кризис, первой вспоминают Японию, предполагая, что ещё хуже дела обстоят разве что в Южной Корее. Однако к 2026-му глобальная картина в части рождаемости (СКР) стала куда сложнее и хуже. Ниже Японии СКР в 17 стран и зависимых территори…

😱123💯70✍32❤21🎉21

26 Oct 2026, 17:54 UTC≈14,100 views143 reactionsread 6 November 2026
Photo

В 12 регионах России фактическая зарплата ниже ₽60 тысяч, в шести превышает ₽140 тысяч — в двух третях страны оклады «на руки» не выше ₽80 тысяч Заголовки деловых СМИ вроде «средняя зарплата в России в июле 2026 г. достигла 109 тысяч рублей» часто понимают как сумму «на руки». Это ошибочное представление: в реальности Росстат (предсказуемо) публикует начисленную зарплату, т.е. до НДФЛ. Например, за январь-июль 2026 …

✍76🤯36👍16😐14🎉1

22 Oct 2026, 15:33 UTC≈13,200 views131 reactionsread 6 November 2026

Posted without readable text

😢64👍33✍25🌚5🎉4

20 Oct 2026, 15:58 UTC≈32,300 views294 reactionsread 6 November 2026
Photo

Разрыв в продолжительности жизни мужчин и женщин в России достигает в отдельных регионах чудовищных 18 лет Разрыв в ожидаемой продолжительности жизни (ОПЖ) российских мужчин и женщин достигает чудовищных масштабов. В 2023 г. ОПЖ при рождении составляла 68.04 лет у мужчин и 78.74 у женщин, т.е. разрыв в 10.7 лет. В 2024 г., оценочно, разрыв должен был превысить 11 лет. Последние 3 года, по понятным причинам, вся эта …

😱145😭67✍54🎃16🗿12

16 Oct 2026, 13:36 UTC≈42,100 views128 reactionsread 6 November 2026

Posted without readable text

✍61😡30👍24⚡12🤯1

Showing the 12 most recent of 88 posts we hold for @sterngang. 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

@sterngang edited 1 post 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
27 August 2026
Most recent edit
27 August 2026

Posts recorded as deleted after publishing

We recorded 6 posts on @sterngang as deleted — posts this register held that were missing from the channel’s public page on two separate reads, taken from different network addresses at least an hour apart.

A deletion is not wrongdoing. This register can see that a post it held is no longer on the channel’s public page, and when — not why. Expired ad placements, reposts, rotating links and corrections all look the same. This is a count of recorded detections, not an exact total: it misses deletions we could not see, because only a post we held and later re-read inside the page can be seen to go, and it may include a small number of wrong records. How this is measured.

First seen missing
7 August 2026
Most recent seen missing
2 September 2026
Median time before seen missing
2 days
Seen missing in the last 30 days
0

Forward network

Republished by

Channels on the register that have forwarded this channel's posts into their own feed.

Republished by 66 registered channels. The 48 listed are the ones that have forwarded the most posts; the rest are counted here but not each listed.

Карельский бальзам | Новости
@KB_Announcments · 47,394
14 posts
Мир сегодня с "Юрий Подоляка"
@yurasumy · 2,665,744
9 posts
ОЧИ | инфографика и ликбез
@group1572 · 8,531
8 posts
демографический аутизм
@demographic_autism · 2,244
4 posts
Глобальная демография и немного Казахстанской социологии
@demographic_statistics · 2,232
4 posts
Каргач 🇷🇺⚡️Ꙃ
@karga4 · 22,235
4 posts
Виднолесье
@rozdaemost · 42
4 posts
РОД. Рейтинги. Опросы. Демография .
@zherzdevia · 1
3 posts
Юрий Баранчик
@barantchik · 90,569
2 posts
Роман Юнеман
@big3russia · 27,216
2 posts
БОЛЬШОЙ ТРАНСФЕР
@bigtransfer2024 · 82,042
2 posts
МОР//Демография
@demograficus · 51
2 posts
ДАР «Демография Анализ Решения»
@demographicsaspectum · 150
2 posts
Дмитрий Конаныхин 🇷🇺
@grishkafilippov · 35,839
2 posts
ИА "Стекломой"
@ia_steklomoy · 108,710
2 posts
🚹 Men's group | Мужская Группа
@mensgroupe · 11
2 posts
Пересмешник Пальмиры
@mockingbird_of_Palmira · 1,602
2 posts
О.К.О.
@nationconsunion · 42,680
2 posts
Синтез информации
@spiritualbattle · 3
2 posts
Афанасьев Z
@Andrafanaslive · 21,335
1 post
[Искусство Разума]
@ArtOfMindRu · 171
1 post
InfoDefense 🇷🇺
@InfoDefenseRUS · 17,350
1 post
Андрей Медведев
@MedvedevVesti · 182,182
1 post
Павел Иванов | Аудио статьи
@a_articles · 109,052
1 post
Со своей колокольни
@bellchamber · 10,793
1 post
Дайджэст. Нацыянальная бясьпека
@bielyliehijon · 495
1 post
Советский патриот
@burckina_faso · 11,404
1 post
Заметки на техдирском
@ctorecords · 11,064
1 post
Армения в цифрах и фактах
@dataarm · 1,461
1 post
𝘋𝘌𝘈𝘓𝘌𝘕𝘟 ⚡️ Одобряет!
@dealenxfeed · 23
1 post
Демократия и Трансгуманизм
@democracy_transhumanism · 39
1 post
Демографическая осень
@depopulation_planet · 372
1 post
Campaign Insider | Павел Дубравский
@electionsquad · 11,989
1 post
Эра гериатрии
@era_geriatrii · 5
1 post
дугоизлазни акценат
@exomni_cast · 888
1 post
Геоинформбюро
@geoinformburo · 2,634
1 post
Гражданин. Осознанная Родина
@grazhdanin_rodina · 1
1 post
Статистика||Экономика||Демография (Statistics Economics Demographics)
@infonotes25 · 292
1 post
Креативные потенции
@kreatiffpotc · 86
1 post
Латинская Америка по-русски | L'Americano.Org
@lamericano_org · 12
1 post
Минченко. World
@mcrepostworld · 6,659
1 post
Мировая экономика и политика
@mir_econ · 75
1 post
Миллион Осетин (зиу-демография)
@mlnalan · 1,097
1 post
Деньги и песец
@moneyandpolarfox · 50,922
1 post
Русский Националист
@nationalist_russian · 48,394
1 post
Новости Греции | News Greece
@news_greece · 41
1 post
Омоложение и anti-aging
@omolojeniePlus · 229
1 post
Парламент с Кнопкой
@parbut · 34,655
1 post

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 118 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. The 24 listed below are the most frequent namers; the rest are counted above but not each listed.

Named by

Channels on the register whose posts name this channel's handle.

Мир сегодня с "Юрий Подоляка"
@yurasumy · 2,665,744
52 posts
Карельский бальзам | Новости
@KB_Announcments · 47,394
15 posts
Деньги и песец
@moneyandpolarfox · 50,922
11 posts
ЕЖ
@ejdailyru · 665,353
10 posts
После_Завтра | Николай Дубинин
@poslezavtraofficial · 53,557
9 posts
Kynev
@alexander_kynev · 19,585
7 posts
ОЧИ | инфографика и ликбез
@group1572 · 8,531
7 posts
РОД. Рейтинги. Опросы. Демография .
@zherzdevia · 1
7 posts
Роман Юнеман
@big3russia · 27,216
6 posts
Заметки на техдирском
@ctorecords · 11,064
6 posts
Campaign Insider | Павел Дубравский
@electionsquad · 11,989
6 posts
Глобальная демография и немного Казахстанской социологии
@demographic_statistics · 2,232
5 posts
Zаписки мичмана Птичкина
@rusfleet · 48,676
5 posts
демографический аутизм
@demographic_autism · 2,244
4 posts
Каргач 🇷🇺⚡️Ꙃ
@karga4 · 22,235
4 posts
Карточный домик
@kartochniydomik · 15,017
4 posts
Виднолесье
@rozdaemost · 42
4 posts
Вечерний картограф
@rumapporn · 11,439
4 posts
Сыны Монархии/Роман Антоновский
@SonOfMonarchy · 87,773
4 posts
Толкователь
@tolk_tolk · 126,350
4 posts
ЛикбеZ
@likbezzru · 43,329
3 posts
Парламент с Кнопкой
@parbut · 34,655
3 posts
Рыбарь
@rybar · 1,526,175
3 posts
СерпомПо
@SerpomPo · 56,864
3 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.

Демография упала
@populationdemography · 11,267
#1
демографический аутизм
@demographic_autism · 2,244
#2
РГООООУЕ — экономическая география и фондовый рынок
@rgooooue · 5,017
#3
World Data
@World_Data1 · 3,601
#4
Демография
@demografic · 886
#5
Буферная зона
@countries_accept · 3,586
#6
Картомант
@KAPTOMAHT · 1,485
#7
Political Animals
@politicanimalis · 17,901
#8
Our World in Maps
@theworldmaps · 5,129
#9
Глобальная демография и немного Казахстанской социологии
@demographic_statistics · 2,232
#10
Карточный домик
@kartochniydomik · 15,017
#11
Research and Data Analysis
@hub_research · 9,008
#12
Галеев
@kamil_galeev · 18,668
#13
Экономика долгого времени
@longviewecon · 15,944
#14
Если быть точным
@tochno_st · 19,591
#15
Рациональные числа
@rationalnumbers · 25,576
#16
держим имя
@shanggyangg · 1
#17
КАРТОГРАФ: Финансы и геополитика на картах
@kartografo · 5,164
#18
Выше среднего | Экономика и финансы
@vyshesr · 3,427
#19
Stata : Экономика России в графиках
@tutstata · 4,341
#20
Дата-сторителлинг
@data_publication · 11,917
#21
A statistical look
@statistical_look · 2,992
#22
Иван Владимиров / acer120
@acer120_lj · 7,174
#23
География на Пальцах
@geoonfingers · 2,936
#24
Droom - карты и статистика
@droom_maps · 6,799
#25
География и факты
@umka_blog · 5,829
#26
Подгорная проповедь
@pfingstbewegung · 975
#27
Вечерний картограф
@rumapporn · 11,439
#28
ЕЖ
@ejdailyru · 665,353
#29
Толкователь
@tolk_tolk · 126,350
#30
SVTV NEWS — Либертарианское СМИ
@svtvnews · 112,482
#31
Случайное блуждание
@totalepc · 10,897
#32
🧭 ГеоWorld 🇵🇲
@Geograph_World · 2,382
#33
Димитриев
@russ_orientalist · 129,275
#34
Геоштуки
@geoshtuki · 941
#35
Proeconomics
@proeconomics · 68,730
#36
Лесостепняк
@lesostepniak · 1,754
#37
Denalt/Будущее XXI век
@den_alter · 998
#38
Гусь Василий под тополем
@gus_vasili · 38,120
#39
Супрематическая картография
@supremaps · 2,536
#40
Петербургский географ
@harding1989 · 1,112
#41
Jirzik
@jirzik_jirzik · 2,349
#42
Милитарист
@infantmilitario · 276,066
#43
Компас и портулан
@portoulan · 5,796
#44
Василий Тополев
@vasil_topolev · 44,528
#45
Геосторик
@geostorik · 1,593
#46
Новости геопабликов
@newgeo24 · 156
#47
История и Факты
@istonfingers · 700
#48
историк-алкоголик
@istrkalkglk · 123,435
#49
RDVL
@Echtdevol · 14,207
#50
Economics & History
@economics_and_history_official · 6,252
#51
Barnaul Analytics 🌲
@BarnaulAnalytics · 6,242
#52
Александр Штефанов
@alexandrshtefanov · 204,954
#53
Киты плывут на вписку с ЛСД
@whalesgohigh · 61,520
#54
Этнические карты в Google Maps
@ethnomaps · 414
#55
Деньги и песец
@moneyandpolarfox · 50,922
#56
One Big Union
@one_big_union · 19,997
#57
Мир по полочкам
@mirpopolkam · 3,483
#58
Kedr to Earth | Земля, я Кедр
@kedr2earth · 10,130
#59
Григорий Баженов
@furydrops · 28,204
#60
The Moscow Times | Independent news from Russia since 1992
@moscowtimes_ru · 126,754
#61
Интуиция подскажет
@intuition2036 · 37,688
#62
Ακαδημία
@akademia_space · 7,278
#63
Wild Field
@wildfield · 8,101
#64
Прогревочная
@progrevg1 · 22,577
#65
дугоизлазни акценат
@exomni_cast · 888
#66
Стальной шлем
@stahlhelm · 20,658
#67
Spydell_finance
@spydell_finance · 131,091
#68
Kynev
@alexander_kynev · 19,585
#69
Геокарты
@ttmaps · 485 (as read 2 October 2026)
#70
MMI
@russianmacro · 102,093
#71
Китайская угроза
@daokedao · 98,835
#72
Те самые англосаксы
@omganglos · 4,872
#73
Sturman George
@SturmanG · 1,684
#74
Каргач 🇷🇺⚡️Ꙃ
@karga4 · 22,235
#75
Как бы Mikhail Vinogradov
@Vinogradov74 · 28,103
#76
Пробковый шлем
@pithhelmet · 23,214
#77
🌏 Занимательная география | Geography
@myworldmap · 3,481
#78
Степной суслик
@tyrasbaibak · 6,076
#79
Парламентская нация
@parlernation · 1,440
#80
Фанаты Географики😳🤨😎
@fanatigeografiki · 98
#81
/r/Mapporn
@r_mapporn · 9,141
#82
КАШИН
@kashinguru · 75,124
#83
Банкнотный Мир
@bank_notes_world · 410
#84
Тупа кволити контент
@skazochnoebalie · 22,739
#85
BRIEFLY RU
@brieflyru · 99,274
#86
Угольный #РусскаяШколаВКиевеОтомщена
@zola_of_renovation · 34,560
#87
Campaign Insider | Павел Дубравский
@electionsquad · 11,989
#88
Vprašanja iz geografije
@vprizgeo · 482
#89
Архитектурные излишества
@arkhlikbez · 123,480
#90

Read from Telegram’s recommendation API, most recently 2 October 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.

Если быть точным
@tochno_st · 19,591
Telegram ranks this channel #8 of 97 here — alongside 96 others — read 2 October 2026

This channel appears in 1 seed channel's Telegram-generated recommendation list 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 5 November 2026 — this entry's latest reading, not the date you are reading this.

“Data distributor” (@sterngang), 21,112 subscribers as measured 5 November 2026. Telegram Register, tgregister.com/channel/sterngang.

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.