Channel
@honestpeople_by
On this record: Topic · Growth · Engagement · What this channel posts · Reactions · Posts · Citations · Telegram's recommendations · Cross-platform identity · Cite this entry
2,358subscribers
-24 since we began measuring on 6 August 2026
Risers and fallers across the register · movement among entries of 1,000–3,162.
| Telegram ID | -1001310079826 |
|---|---|
| Type | Channel |
| Username | @honestpeople_by |
| Created | 4 June 2020 — measured — cross-checked against a third-party dataset (ext.tg_channel) |
| First recorded | 6 August 2026 |
| Last confirmed live | 16 September 2026 |
| Measurements held | 13 |
| Confirmed unchanged | 1 time, most recently 16 September 2026 |
| On Telegram | t.me/honestpeople_by |
Politics & activism — a classification, not a measurement. An on-box language model (Qwen3.6-35B-A3B-FP8, prompt version 1) read this channel’s own recent posts on 15 September 2026 and assigned it the closest of 31 fixed categories, at 92% 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 why it has no browse page of its own yet.
| Measured (UTC) | Subscribers | Change |
|---|---|---|
| 16 Sept 2026, 12:41 | 2,358 | -2 |
| 8 Sept 2026, 19:18 | 2,360 | -7 |
| 3 Sept 2026, 14:57 | 2,367 | +1 |
| 31 Aug 2026, 14:34 | 2,366 | -3 |
| 28 Aug 2026, 15:27 | 2,369 | +1 |
| 26 Aug 2026, 01:25 | 2,368 | -3 |
| 23 Aug 2026, 00:43 | 2,371 | -1 |
| 19 Aug 2026, 13:52 | 2,372 | -4 |
| 16 Aug 2026, 20:47 | 2,376 | +1 |
| 13 Aug 2026, 05:35 | 2,375 | -4 |
| 7 Aug 2026, 00:26 | 2,379 | -3 |
| 6 Aug 2026, 11:17 | 2,382 | no change |
| 6 Aug 2026, 09:40 | 2,382 | first reading |
22 posts held, back to 11 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 2 pages of 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 22 posts for this entry, the most recent from 7 August 2026. An engagement rate over an empty window would be a number about nothing.
Measured directly from 19 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.
197 reactions across 21 posts, in 5 distinct kinds. The most used accounts for 50.8% of them.
| Reaction | Count | Share | Share, drawn |
|---|---|---|---|
| ❤ | 100 | 50.8% | |
| 👍 | 73 | 37.1% | |
| 💯 | 11 | 5.58% | |
| 😁 | 8 | 4.06% | |
| 😢 | 5 | 2.54% |
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 21 of the 22 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 197 reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.
Measured over the 22 most recent posts we hold, published 11 July 2026 to 7 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.
Удобное среднее: как статистикой создают нужное впечатление Почему средняя зарплата не всегда отражает реальность? Разбираем, чем среднее отличается от медианы и как выбор одной из этих цифр может менять восприятие ситуации без единой фальшивой цифры.
У Тура дешёвый газ от России — "союзная выгода", а инвестиции от ЕС — "продажа родины". Где логика?
👍4💯2
Игорь Тур хвалит Никола Пашиняна не из честности — это приём "ложная уступка", чтобы потом навязать зрителям ложный выбор.
💯8👍2
Беларусь — европейская страна географически. Но на ОНТ это, кажется, забыли
👍7
По версии ОНТ, в ЕАЭС завтра попросятся Франция и Германия. Разбираем, откуда эта "аналитика"
👍5😁2
Прививка страха: сначала пугают, потом предлагают защиту Почему надписи «без ГМО», «без токсинов» или «защищает от излучения» работают, даже когда угрозы нет? Разбираем приём, который сначала создаёт тревогу, а потом продаёт решение. Этот механизм используют не только в рекламе, но и в пропаганде.
❤6👍2
Жалобы в TikTok доходят до Лукашенко. Почему вместо помощи к беларусам едет ГУБОПиК? На госТВ запустили передачу «В понедельник дойдёт до Лукашенко». Задумка красивая: чиновники смотрят жалобы беларусов в соцсетях и решают проблемы. Но на деле всё иначе. За обычный ролик про разбитые дороги к автору приезжает ГУБОПиК и заставляет извиняться на камеру. А Следственный комитет официально начал мониторить TikTok и Thread…
❤5👍1💯1
В Беларуси могут изменить правила работы ветеринарных клиник. Власти говорят — ради качества. Но похожую реформу Беларусь уже видела. Чем она закончилась — смотрите в нашем видео.
😢5❤2👍1
В Беларуси не хватает рабочих рук. Но выйти во время декрета на работу тем, кто хочет, — не выгодно.
❤4👍2
Почему госТВ 19 минут говорит о санкциях, но не объясняет их причину?
❤5👍1
Как факт звонка Макрона превратили в "триумф Лукашенко" на госТВ.
❤7👍1
Неон, глитчи, пиджак без галстука — разбираем, как беларуская госпропаганда мимикрирует под независимый блог.
❤8👍3
Showing the 12 most recent of 22 posts we hold for @honestpeople_by. 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.
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.
Named by 29 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.
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.
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.
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.
A Wikidata item names this Telegram handle as belonging to the entity it describes. This is Wikidata’s claim, not a verification made by this register — nobody here confirmed that the account is genuinely operated by the entity named. Wikidata content is CC0; every fact below is dated to when it was read from Wikidata, not to when the association was first made there.
| Label | Honest People |
|---|---|
| Official site | https://honestby.org |
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 16 September 2026 — this entry's latest reading, not the date you are reading this.
“Честные люди” (@honestpeople_by), 2,358 subscribers as measured 16 September 2026. Telegram Register, tgregister.com/channel/honestpeople_by.
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.