Telegram RegisterThe public register of Telegram

Channel

ЭФКО

@efko_group

On this record: Growth · Engagement · What this channel posts · Reactions · Stars · Posts · Citations · Cite this entry

10,985subscribers

+14 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-1001360916923
TypeChannel
Username@efko_group
DescriptionПерерабатываем масличные Развиваем экспорт Создаем инновации Производим еду будущего Строим бизнес про человека Регистрация в РКН: https://knd.gov.ru/license?id=676ba2b84de6c36845018782&registryType=bloggersPermission
Created14 September 2020measured — cross-checked against a third-party dataset (ext.tg_channel)
First recorded6 August 2026
Last confirmed live12 August 2026
Measurements held8
Confirmed unchanged1 time, most recently 12 August 2026
On Telegramt.me/efko_group

Growth

10,97110,99410,982.56 August 2026 — 10,971 subscribers6 August 2026 — 10,971 subscribers6 August 2026 — 10,979 subscribers7 August 2026 — 10,990 subscribers8 August 2026 — 10,994 subscribers9 August 2026 — 10,988 subscribers11 August 2026 — 10,990 subscribers12 August 2026 — 10,985 subscribers10,9856 August 202612 August 2026
8 measurements spanning 6 days, net +14. 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 10,968–10,997 and does not start at zero.
Measurement log — every subscribers count we have recorded
Measured (UTC)SubscribersChange
12 Aug 2026, 11:5410,985-5
11 Aug 2026, 13:1210,990+2
9 Aug 2026, 19:1110,988-6
8 Aug 2026, 18:1710,994+4
7 Aug 2026, 16:2710,990+11
6 Aug 2026, 16:0510,979+8
6 Aug 2026, 02:4510,971no change
6 Aug 2026, 02:0110,971first reading

Engagement

24 posts held, back to 3 July 2026the reader has not yet reached the start of this channel’s public history, so older posts may sit further back, unread. Read across 16 pagesof Telegram’s post history, 20 posts per page.

ERR · 30 days
31.9%
avg views ÷ 10,985 subscribers
Avg views / post
3,500
15 posts measured
Reaction rate
2.22%
reactions ÷ views · ER floor
Posts in window
15
of 24 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 12 August 2026
Posts held24 (3 July 202612 August 2026)
Views total52,491
Reactions total1,166
Forwards / commentsnot exposed by the public surface — not measured, not estimated
Readings taken13 Aug 2026, 04:32 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
1,490
Videos
239
Links
735

Lifetime counters from Telegram’s own channel header, read 13 August 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.

Video runtime
9m 37s
Average length
1m 04s

Measured directly from 9 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

1,299 reactions across 23 posts, in 5 distinct kinds. The most used accounts for 57.4% of them.

Every reaction kind recorded on the sample, most used first
ReactionCountShareShare, drawn
74657.4%
👍20615.9%
🔥16612.8%
😢917.01%
👎906.93%

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 24 of the 24 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 1,323reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.

Measured over the 24 most recent posts we hold, published 3 July 2026 to 12 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.

Telegram Stars

Stars received
8
across the posts below
Posts paid on
5
of 24 we hold a reading for · 21%
Most on one post
3
single highest reading

A paid reaction is a reader spending Telegram Stars — bought with money — on a post by @efko_group. 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 24 most recent posts we hold for this entry, published 3 July 2026 to 12 August 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

12 Aug 2026, 15:07 UTC530 views38 reactions1 Starread 13 August 2026
Photo

5 фактов о компании ЭФКО, которые вы не знали Мы часто рассказываем о новостях и новых проектах нашей компании, но забываем знакомить с ее историей и масштабом тех, кто недавно присоединился к нам в соцсетях. Исправляемся и приготовили первую подборку фактов об ЭФКО, которые вы могли не знать.

26🔥9👍3

11 Aug 2026, 15:13 UTC981 views34 reactionsread 13 August 2026
Photo

Когда вы в последний раз занимались химией? Скорее всего, сегодня утром. Пока варили кофе, жарили яичницу или заваривали чай. Каждый день мы становимся участниками десятков химических процессов, хотя редко об этом задумываемся. О том, какую роль химия играет в жизни человека и почему давно пора перестать ее бояться, мы поговорили с заместителем декана по науке химического факультета ВГУ Надеждой Столповской. – На

16👍12🔥6

10 Aug 2026, 14:53 UTC≈1,300 views77 reactions1 Starread 13 August 2026
Photo

Не помним таких моментов, чтобы ЭФКО не вела строительства новых заводов или не модернизировала действующие производственные площадки. Одна из больших строек сейчас – наш биотехнологический завод мощностью 2,4 тыс. тонн ферментных препаратов в год. Фитаза, ксиланаза, амилаза – сегодня российские животноводы вынуждены импортировать эти и другие кормовые препараты. С запуском «Биотехнологий будущего» мы планируем обес

53👍16🔥8

6 Aug 2026, 11:55 UTC≈2,450 views39 reactionsread 13 August 2026
Video

Когда-то селекция была больше похожа на искусство. Наука, интуиция и много удачи – именно так десятилетиями ученые искали лучшие виды растений и животных. Теперь в игру вступил искусственный интеллект. И оказалось, что для него важнее не идеальное знание одного образца, а возможность увидеть миллионы вариантов одновременно. На международной конференции ЭФКО – Deep Food Tech 2026 президент китайской компании LASO Bi

17👍9🔥8👎5

5 Aug 2026, 14:57 UTC≈2,740 views88 reactions1 Starread 13 August 2026
Photo

Проекты принято измерять заводами и мощностями. И они, конечно, важны. Но даже самый современный цех или офис без людей – пустышка. Поэтому проекты по социальному конструированию и развитию персонала рассматриваются в ЭФКО наравне с большими стройками. А иногда даже считаются более приоритетными. Сегодня хотим рассказать про один из таких проектов – «Аркус». Его участники – команда из более 20 молодых ребят со все

51👍23🔥11👎3

4 Aug 2026, 15:26 UTC≈4,020 views246 reactions3 Starsread 13 August 2026

Что происходит в ЭФКО здесь и сейчас? Сегодня наша компания переживает сложный период. Главная наша задача – обеспечить устойчивость всех производственных процессов. И, насколько бы агрессивным ни был внешний контекст, – продолжать работу и выполнение взятых на себя обязательств. Подготовка к началу сезона. Контрактование по закупке масличных. Обеспечение производства и поставок по уже заключенным договорам. Прод

166🔥38👍36👎6

31 Jul 2026, 05:09 UTC≈10,700 views517 reactionsread 13 August 2026

О работе компании и текущей ситуации 30 июля стало известно о задержании 3-х топ-менеджеров ЭФКО. На данный момент мы не обладаем полной информацией о предъявленных им обвинениях и надеемся на скорейшее прояснение ситуации и справедливое расследование. Весь коллектив ЭФКО выражает поддержку председателю совета директоров Валерию Кустову, генеральному директору Евгению Ляшенко и директору по стратегическому развитию

322😢91👍58👎36🔥10

29 Jul 2026, 12:03 UTC≈8,870 views36 reactionsread 13 August 2026
Photo

Инженерия будущего. Как развивается Институт робототехнических систем ЭФКО и Высшей школы экономики Даже самая перспективная техническая разработка остается лишь замыслом, пока не получает физическое воплощение. Чтобы идея реализовалась, ей нужны корпус, приводы, датчики и люди, способные собрать все это в работающую систему. Именно таких специалистов объединяет Институт робототехнических систем, который ЭФКО и НИУ

17👍8👎6🔥5

27 Jul 2026, 10:42 UTC≈5,240 views21 reactionsread 13 August 2026
Video

Вкус и качество имеют значение. Но не только они. Мы часто выбираем не просто бренды, а ощущения, которые с ними связаны. Можно выпить кофе в разных кофейнях, но любимой станет та, куда хочется возвращаться снова и снова. И не только из-за кофе. Все могут решить атмосфера, качество сервиса и даже улыбка бариста. С продуктами часто так же. Нам хочется, чтобы они были не только вкусными и качественными, но и отражал

🔥14👎43

23 Jul 2026, 11:06 UTC≈5,030 views14 reactionsread 13 August 2026
Video

Почему в мире нет двух одинаковых людей? Даже близнецы со временем становятся очень разными: отличаются характером, образом жизни и главное – здоровьем. Мы привыкли считать, что многое в человеке определяется ДНК. Но действительно ли гены и наследственность решают все? Важно не только то, какие гены нам достались, но и как они работают. Этим занимается эпигенетика – наука о том, как питание, окружающая среда, обр

8👍3👎3

21 Jul 2026, 06:14 UTC≈3,220 views18 reactionsread 13 August 2026
Photo

Помните ощущения, когда съедаете чили? Кажется, что рот горит. Но не спешите тушить пожар. Перец воздействует на тепловые рецепторы. Наш организм верит, что у него ожог, и начинает бороться с ним. Так же работает мята – раздражает холодовые рецепторы и оставляет приятную свежесть. Растения прибегают к самым разным хитростям, чтобы привлечь или отпугнуть насекомых и животных. Жжение или прохлада – только часть из них

12🔥4👎2

20 Jul 2026, 11:08 UTC≈2,260 views9 reactionsread 13 August 2026
Video

ИИ как Copilot для ученого. Панельная дискуссия Deep Food Tech 2026 Что меняется в научной работе, когда появляется инструмент, который за секунды ищет статьи, анализирует и рецензирует их, строит графики и помогает увидеть связи в самых больших массивах данных? На панельной дискуссии конференции Deep Food Tech 2026 обсудили это с доктором химических наук, членом-корреспондентом РАН Петром Сергиевым, директором Цен

4👍3👎2

Showing the 12 most recent of 24 posts we hold for @efko_group. 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.

Citation-graph rank

Citation-graph rank — 68,187 of 1,160,990entries 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

Republished by

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

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 10 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.

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

“ЭФКО” (@efko_group), 10,985 subscribers as measured 12 August 2026. Telegram Register, tgregister.com/channel/efko_group.

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.