Telegram RegisterThe public register of Telegram

Channel

Апиология (apiology.ru)

@apiology

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

1,528subscribers

+10 since we began measuring on 7 August 2026

Risers and fallers across the register · movement among entries of 1,000–3,162.

Register entry

Telegram ID-1001877836678
TypeChannel
Username@apiology
CreatedBetween 1 October 2022 and 30 September 2023— estimated from Telegram’s id allocation, not measured. How this range is calculated.
First recorded7 August 2026
Last confirmed live14 August 2026
Measurements held4
Confirmed unchanged1 time, most recently 14 August 2026
On Telegramt.me/apiology

Growth

1,5181,5281,5237 August 2026 — 1,518 subscribers7 August 2026 — 1,518 subscribers11 August 2026 — 1,523 subscribers14 August 2026 — 1,528 subscribers7 August 202614 August 2026
4 measurements spanning 6 days, net +10. 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 1,517–1,530 and does not start at zero.
Measurement log — every subscribers count we have recorded
Measured (UTC)SubscribersChange
14 Aug 2026, 07:181,528+5
11 Aug 2026, 01:511,523+5
7 Aug 2026, 21:461,518no change
7 Aug 2026, 20:131,518first reading

Engagement

20 posts held, back to 22 January 2026the reader has not yet reached the start of this channel’s public history, so older posts may sit further back, unread. Read across 1 pageof Telegram’s post history, 20 posts per page.

ERR · 30 days
12.5%
avg views ÷ 1,528 subscribers
Avg views / post
191
3 posts measured
Reaction rate
1.40%
reactions ÷ views · ER floor
Posts in window
3
of 20 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 28 July 2026
Posts held20 (22 January 202628 July 2026)
Views total573
Reactions total8
Forwards / commentsnot exposed by the public surface — not measured, not estimated
Readings taken7 Aug 2026, 21:46 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
2h 41m
Average length
53m 42s

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

28 reactions across 14 posts, in 4 distinct kinds. The most used accounts for 39.3% of them.

Every reaction kind recorded on the sample, most used first
ReactionCountShareShare, drawn
🔥1139.3%
932.1%
👍725.0%
💔13.57%

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 16 of the 20 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 28reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.

Measured over the 20 most recent posts we hold, published 22 January 2026 to 28 July 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

28 Jul 2026, 17:40 UTC119 views4 reactionsread 7 August 2026
Photo

Транскриптомное изменеие мозга и вариабельность микробиома в сотах в период перехода от стадии личинки к стадии куколки у Apis mellifera Переход от личинки к куколке у медоносных пчел ( Apis mellifera ) включает в себя обширную нейронную перестройку, однако молекулярная динамика развития мозга и ее связь с окружающей микробной средой остаются недостаточно изученными. В этом исследовании был проведен синтез транскрип

👍2🔥2

Signed Amir

22 Jul 2026, 14:32 UTC208 views1 reactionsread 7 August 2026

Ознакомьтесь с документом форстер. Откройте общий документ: https://acrobat.adobe.com/id/urn:aaid:sc:EU:5d80f2ba-588d-448b-b720-42c4ffb8b7e2 Загрузите приложение Adobe Acrobat Reader: https://adobeacrobat.app.link/kNcC0jd2Y4b

🔥1

Signed Беньямин Форстер

22 Jul 2026, 14:32 UTC246 views3 reactionsread 7 August 2026

Уважаемые коллеги! Интересное научное исследование из Швейцарии и Германии. Дикие медоносные пчелы (Apis mellifera) впервые официально признаны МСОП на уровне ЕС «сильно угрожаемым» видом. Исследования показывают, что без пополнения из пасек их численность сократится на 56 % за 10 лет. Основные угрозы — потеря местообитаний, паразиты (варроа), пестициды и влияние человека. Дикие популяции важны для генетического разн

👍3

Signed Беньямин Форстер

18 May 2026, 20:20 UTC427 views1 reactionsread 7 August 2026

https://www.nature.com/articles/s41586-026-10461-3 Исследование Делфтского технологического университета показало: подражание навигации пчёл-работниц позволяет маленьким дронам-роботам научиться находить дорогу домой без громоздких карт и мощных вычислений В методе, получившем название Bee-Nav, дрон сначала совершает короткий учебный полёт рядом с «домом», записывая панорамные снимки. Затем компактный нейросетевой

1

11 May 2026, 06:57 UTC421 views1 reactionsread 7 August 2026

Chronic heat stress disrupts foraging motivation in honey bees - ScienceDirect https://www.sciencedirect.com/science/article/abs/pii/S002219102600017X

💔1

Signed Беньямин Форстер

19 Apr 2026, 21:56 UTC590 views2 reactionsread 7 August 2026

https://www.nature.com/articles/s41598-022-23287-6 Кратковременное пребывание в полуестественной среде обитания смягчает микробный дисбаланс в улье медоносных пчел, вызванный стрессом, связанным с сельскохозяйственным производством. Здоровье медоносных пчел и микробиота кишечника этого вида взаимосвязаны. Также следует отметить наличие множества ниш внутри ульев, каждая из которых имеет свою уникальную микробиоту и

2

19 Apr 2026, 10:54 UTC352 views1 reactionsread 7 August 2026

https://journals.asm.org/doi/10.1128/spectrum.03394-25 Различия в характеристиках микробиома между популяциями медоносных пчел ( Apis mellifera ), разводимых в домашних условиях, и дикими медоносными пчелами в Южном Техасе. Микробиомы животных формируются сложным взаимодействием генетики хозяина, окружающей среды и образа жизни. Переходы животных из дикой природы в условия содержания в неволе или одомашнивания могу

1

19 Apr 2026, 10:53 UTC257 views2 reactionsread 7 August 2026

https://journals.biologists.com/jeb/article/227/3/jeb246400/343026/The-buzz-within-the-role-of-the-gut-microbiome-in Роль кишечного микробиома в социальном поведении медоносных пчел Кишечные симбионты влияют на физиологию и поведение своего хозяина, но степень влияния этих эффектов на социальное поведение является новой областью исследований. Использование западной медоносной пчелы ( Apis mellifera ) в качестве мод

2

14 Apr 2026, 16:28 UTC302 views1 reactionsread 7 August 2026

Стресс, вызванный изменением климата у медоносной пчелы Apis mellifera L. – генетический обзор. https://www.frontiersin.org/journals/physiology/articles/10.3389/fphys.2025.1623705/full Изменение климата является мощным фактором стресса, поскольку оно усиливает жаркую и засушливую среду. Для пчел наиболее тревожными аспектами этих новых условий окружающей среды являются устойчивость и способность пчел к изменениям т

1

14 Apr 2026, 16:22 UTC457 views1 reactionsread 7 August 2026

Разнообразие флоры повышает выживаемость пчелиных семей зимой в разных климатических регионах. https://besjournals.onlinelibrary.wiley.com/doi/10.1111/1365-2664.70054 В умеренном климате зима может быть трудным временем для эусоциальных насекомых. Выживание пчелиных семей зимой зависит от тонкого баланса между терморегуляцией улья, управлением запасами пищи и временем появления нового поколения рабочих пчел. На выж

1

8 Apr 2026, 08:20 UTC297 views0 reactionsread 7 August 2026
Forwarded from @naturalbeekeepingVideo

Стивен Мартин: Понимание устойчивости к клещу варроа Стивен более 40 лет изучает социальных насекомых (пчел, ос, термитов и муравьев). Его области специализации – «вредители и болезни медоносных пчел», «экология шершней» и «химическая коммуникация у насекомых». В настоящее время он занимает должность почетного профессора в Солфордском университете, Манчестер. До этого он 12 лет работал в Шеффилдском университете, се

2 Apr 2026, 19:59 UTC356 viewsread 7 August 2026
Forwarded from @naturalbeekeepingVideo

Стив Райли: Переход от обработок к выращиванию пчел, устойчивых к клещу Варроа. Стив — член команды «Путь к устойчивости к клещу варроа в Великобритании», которая в апреле 2023 года запустила образовательный и научный веб-сайт: www.varroaresistant.uk. Он является сотрудником по вопросам образования в клубе пчеловодов Вестерхэма, расположенном на юго-востоке Англии, который уже восьмой год занимается поиском и обнару

Showing the 12 most recent of 20 posts we hold for @apiology. 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.

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.

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.

“Апиология (apiology.ru)” (@apiology), 1,528 subscribers as measured 14 August 2026. Telegram Register, tgregister.com/channel/apiology.

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.