2 measurements spanning 2 days. 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 153–155 and does not start at zero.
Measurement log — every subscribers count we have recorded
Measured (UTC)
Subscribers
Change
8 Aug 2026, 19:01
154
no change
7 Aug 2026, 02:04
154
first reading
Engagement
9 posts held, back to 31 July 2024 — the 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.
Nothing published in the last 30 days. ERR and ER are rolling 30-day measures, so there is nothing to compute — we hold 9 posts for this entry, the most recent from 28 April 2026. An engagement rate over an empty window would be a number about nothing.
What this channel posts
Photos
≈1,190
Videos
≈153
Links
≈246
Lifetime counters from Telegram’s own channel header, read 8 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
1m 38s
Average length
49s
Measured directly from 2 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
41 reactions across 7 posts, in 7 distinct kinds. The most used accounts for 65.9% of them.
Every reaction kind recorded on the sample, most used first
Reaction
Count
Share
Share, drawn
👍
27
65.9%
🔥
5
12.2%
😁
3
7.32%
😇
2
4.88%
🙏
2
4.88%
😡
1
2.44%
🤔
1
2.44%
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 8 of the 9 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 41reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.
Measured over the 9 most recent posts we hold, published 31 July 2024 to 28 April 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.
🐝 Пчеловод натравила своих пчел на полицейских, которые приехали выселять ее друга
Женщина из Массачусетса (США) Ребекка Вудс получила шесть месяцев тюрьмы после того, как специально привезла и открыла свои ульи рядом с домом престарелого, больного раком друга, куда полиция приехала выселять его из-за просрочки по ипотеке.
Сама Ребекка в суде заявила, что остановила там свой грузовик, чтобы пчёлы могли насладиться …
🐝🍯Пчелиный сюрприз: пара нашла пчелиный улей и 3 кг меда на своём балконе
А вот пчелки уже в квартире! Жители Казани вернулись из отпуска и обнаружили неожиданных "квартирантов" — несколько тысяч пчёл, которые, как оказалось, больше года обустраивали улей на их балконе. Насекомые проникли через небольшую щель и поселились под старой обшивкой балкона, оставшейся от прежних хозяев. Обшивку вскрыли, а там — огромные со…
🍯 Роскачество обнаружило в сетевых магазинах фальсифицированный мед
Было проверено 16 собственных торговых марок крупнейших розничных сетей и недорогого меда в сетевом ретейле. Выяснилось, что продукция ни одной из исследованных торговых марок не соответствует обязательным требованиям законодательства, так как имеет признаки фальсификации.
Подробнее – в наших карточках ⤴️
✏️ Подписаться на @truekpru
Конец Июля, разгар взятка. На всех полях цветут травы, слышится гул пчёлок. 🐝
Signed Андрей Воеводин
Showing the 9 most recent of 9 posts we hold for @Worldofbee. 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.
Mentions
Names
Channels on the register whose handles appear in this channel's 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.
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 8 August 2026 — this
entry's latest reading, not the date you are reading this.
“Мир пчёл” (@Worldofbee), 154 subscribers as measured 8 August 2026. Telegram Register, tgregister.com/channel/Worldofbee.
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.
