Меня зовут Лена Зеленская, и я 8 лет готовлю к ОГЭ по био 🌱
🤍 13 327 моих учеников сдали на 5 и 4
Отзывы 👉🏻 https://clck.ru/3TRmHf
Подготовиться к ОГЭ на 5 👉🏻 https://clck.ru/3Qc9bW
№ РКН: 7822500849
Created
22 May 2020 — measured — cross-checked against a third-party dataset (ext.tg_channel)
9 measurements spanning 6 days, net +347. 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 51,667–52,118 and does not start at zero.
Measurement log — every subscribers count we have recorded
Measured (UTC)
Subscribers
Change
12 Aug 2026, 17:13
52,066
+87
11 Aug 2026, 15:37
51,979
+66
10 Aug 2026, 17:07
51,913
+59
9 Aug 2026, 15:14
51,854
-12
8 Aug 2026, 14:41
51,866
+62
7 Aug 2026, 13:38
51,804
+77
6 Aug 2026, 11:51
51,727
+8
6 Aug 2026, 10:00
51,719
no change
6 Aug 2026, 09:56
51,719
first reading
Engagement
50 posts held, back to 3 August 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 17 pagesof Telegram’s post history, 20 posts per page.
ERR · 30 days
3.79%
avg views ÷ 52,066 subscribers
Avg views / post
1,970
48 posts measured
Reaction rate
1.56%
reactions ÷ views · ER floor
Posts in window
50
of 50 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
Window
Rolling 30 days · latest post in window 12 August 2026
Posts held
50 (3 August 2026 – 12 August 2026)
Views total
94,773
Reactions total
1,479
Forwards / comments
not exposed by the public surface — not measured, not estimated
Readings taken
12 Aug 2026, 19:39 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
≈5,150
Videos
≈449
Links
≈2,130
Lifetime counters from Telegram’s own channel header, read 12 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
2m 18s
Average length
46s
Measured directly from 3 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
1,479 reactions across 48 posts, in 28 distinct kinds. The most used accounts for 36.4% of them.
Every reaction kind recorded on the sample, most used first
Reaction
Count
Share
Share, drawn
❤
539
36.4%
💘
191
12.9%
👍
118
7.98%
❤🔥
106
7.17%
🔥
99
6.69%
🐳
80
5.41%
👀
68
4.60%
🗿
64
4.33%
😍
54
3.65%
😱
35
2.37%
🤓
31
2.10%
🍓
16
1.08%
🥰
16
1.08%
✍
12
0.811%
💅
8
0.541%
🦄
8
0.541%
🎉
7
0.473%
⚡
5
0.338%
💔
4
0.27%
👻
3
0.203%
8 further kinds
15
1.01%
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 48 of the 50 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 1,479reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.
Measured over the 50 most recent posts we hold, published 3 August 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.
рубрика «заметки на полях»!
почему хочется лечь как можно позже, а встать к часу дня: откуда взялся такой «испорченный» режим дня? все дело в биоритмах — внутренних биологических часах, которые управляют активностью в течение суток. у подростков они сдвинуты: поэтому ложиться в 21:00 физически сложно, а вставать в 7:00 — мучительно 🥹
интересный факт: чтобы исправить все к школе и ложиться раньше, нужно постепенно п…
дружеское напоминание ‼️ через 2️⃣ дня закрываем запись Летнюю подготовку
именно с этого курса начинали многие мои отличники — отзывы прикрепила к посту ☝️ до 14 августа включительно держим возможность получить занятия июля и августа за 1 рубль при записи на сентябрь или весь год 👀
ЗАПИСАТЬСЯ
ЗАПИСАТЬСЯ
ЗАПИСАТЬСЯ
🐣 дружочки-пирожочки, хочу делать для вас ещё больше классного полезного контента и как можно быстрее сообщать важные новости — в этом очень помогут возможности, которые открываются за голоса ⚡
так что, мне будет очень приятно, если отдадите голос за мой канал 😌🫂 воть ссылочка, по которой можно это сделать: https://t.me/bio_team?boost
вот так быстренько вы запомнили теорию для целого задания ОГЭ 🤌🏻 но! важно закрепить это всё практикой и задать вопросы, если что-то останется непонятным
у нас на курсе уже с Летней подготовки есть всё для изучения каждой темы на 200%
💡 уроки с теорией и практикой
💡 домашки и пробники в течение всего года
💡 обратная связь от кураторов
💡 закрытый тгк со мной
до 14 августа включительно мы держим возможность записать…
КАК ЗАПОМНИТЬ ПОРЯДОК ТАКСОНОВ ЗА МИНУТУ 🐌
таксон — это любая группа живых организмов
запоминалка для животных: цапнул толстый кот обед — сметану, рыбы, винегрет
царство ➡️ тип ➡️ класс ➡️ отряд ➡️ семейство ➡️ род ➡️ вид
запоминалка для растений: цирк огромный, купол пёстрый, словно радугу, вознёс
царство ➡️ отдел ➡️ класс ➡️ порядок ➡️ семейство ➡️ род ➡️ вид
всем доброе утро 😌
🌻 в августе на Летней подготовке проведу урок по систематике растений и животных для задания №3
признавайтесь, кто всё ещё путается в царствах / типах / классах?
рубрика «заметки на полях»!
дыня – не просто вкусно, но и очень полезно! в ней много клетчатки (она полезна для пищеварения), а еще калия и магния, которые благотворно влияют на работу сердца 🍈
интересный факт: видели тренд, где из замороженной дыни и сливок делали мороженое? так вот, это несовместимые продукты. вместе они плохо усваиваются
в прошлом году ФИПИ вообще в феврале дропнули новые задания с генетикой, которых до этого не было в экзе 👀
но это не значит, что нужно чего-то ждать и откладывать учёбу — надо уже сейчас готовиться на 120%
мы ждём демоверсию, чтобы:
1️⃣ посмотреть, будут ли задания нового формата / по новым темам
2️⃣ оценить сложность экзамена
3️⃣ актуализировать программу подготовки в соответствии с изменениями
в августе мы получим проект демоверсии, но в течение всего учебного года ещё могут быть изменения
значит ли это, что до выхода демки не стоит начинать подготовку — нет 👎 потому что биология останется биологией, просто могут …
❤14💘5❤🔥2
Showing the 12 most recent of 50 posts we hold for @bio_team. 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 — 921,761 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
Republishes
Channels on the register whose posts this channel has forwarded.
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.
Настя Гласная | Русский язык ОГЭ 2027 Умскул | Территория русского языка @nastya_umschool_russ · 283,487 Telegram ranks this channel #10 of 79 here — alongside 78 others — read 10 August 2026
Надежда на пять | Математика ОГЭ 2027 | Надежда Ковалевская | Умскул @nadya_matem · 146,383 Telegram ranks this channel #25 of 84 here — alongside 83 others — read 13 August 2026
Данир на связи | Математика ОГЭ 2027 | Умскул @danirmath · 322,324 Telegram ranks this channel #30 of 80 here — alongside 79 others — read 10 August 2026
This channel appears in 3 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 12 August 2026 — this
entry's latest reading, not the date you are reading this.
“Елена Зеленская | Биология ОГЭ 2027 Умскул | Биология нас связала” (@bio_team), 52,066 subscribers as measured 12 August 2026. Telegram Register, tgregister.com/channel/bio_team.
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.