🚕 Легальность легкового такси - это ключевой показатель безопасности пассажиров! 🔰 Наше управление административно-технического контроля Калужской области в ТГ - канале создало чат-бот «Такси_контроль40» для проверки права на осуществление деятельности по перевозке пассажиров и багажа легковым такси. Что умеет Бот? ☑️ Проверяет автомобили: показывает, занесены ли машины в реестр легкового такси Калужской области.…

Channel
ReginaLab
@regina_lab
On this record: Growth · Engagement · What this channel posts · Reactions · Posts · Citations · Handles named that no longer answer · Cite this entry
26subscribers
+0 since we began measuring on 7 August 2026
Risers and fallers across the register · movement among entries of Under 1,000.
Register entry
| Telegram ID | -1001998264886 |
|---|---|
| Type | Channel |
| Username | @regina_lab |
| Description | С головой в data science. Цифрую город, наставничаю, помогаю людям. Умею, люблю, практикую 😊 https://reginaobninsklab.github.io Хотите предложить работу? regina.obninsk (at) gmail (dot) com |
| Created | Between 1 November 2023 and 30 April 2024— estimated from Telegram’s id allocation, not measured. How this range is calculated. |
| First recorded | 11 August 2026 |
| Last confirmed live | 11 August 2026 |
| Measurements held | 2 |
| On Telegram | t.me/regina_lab |
Growth
| Measured (UTC) | Subscribers | Change |
|---|---|---|
| 11 Aug 2026, 08:19 | 26 | no change |
| 7 Aug 2026, 12:36 | 26 | first reading |
Engagement
20 posts held, back to 23 June 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 20 posts for this entry, the most recent from 31 December 2025. An engagement rate over an empty window would be a number about nothing.
What this channel posts
- Photos
- 7
- Links
- 33
Lifetime counters from Telegram’s own channel header, read 11 August 2026 — not the date at the top of this page, which is when the subscriber count was last read. Below Telegram’s rounding threshold, so these counts are exact.
Reaction mix
26 reactions across 11 posts, in 9 distinct kinds. The most used accounts for 46.2% of them.
| Reaction | Count | Share | Share, drawn |
|---|---|---|---|
| 👍 | 12 | 46.2% | |
| 😁 | 3 | 11.5% | |
| 🤔 | 3 | 11.5% | |
| 🔥 | 2 | 7.69% | |
| 😱 | 2 | 7.69% | |
| ⚡ | 1 | 3.85% | |
| ❤🔥 | 1 | 3.85% | |
| 👌 | 1 | 3.85% | |
| 👏 | 1 | 3.85% |
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 11 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 26reactions 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 23 June 2024 to 31 December 2025, 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
Любопытное исследование субкультур https://t.me/ac_fioco/1146 от АЦ ФИОКО (@ac_fioco) Возможно это простимулирует нас вернуться к нашему исследованию https://t.me/regina_lab/46 калужских подростков и разложить их по этим категориям.
🤔1
https://t.me/begtin/6083
🤔1
Нам указали на то, что сервисы вроде open-meteo.com показывают совсем не настоящую погоду, а результаты моделирования. Что ж, критика была принята, мы провели сравнительный анализ смоделированных данных (которые анализировали ранее) с экспериментальными показаниями от ФГБУ НПО Тайфун. Подробности в блоге https://reginaobninsklab.github.io/posts/obninsk-climate-part3-sources/
😁1
Продолжаем изучать изменение погоды в г. Обнинск по данным open-meteo.com https://reginaobninsklab.github.io/posts/obninsk-climate-part2-rains/
👍2
Как писал поэт: And still more, later flowers for the bees, Until they think warm days will never cease, Вот и Обнинску досталось немного такой осени ❤️ Тем не менее, мы поддались всеобщему беспокойству по поводу температурных рекордов и занялись анализом климата. Первая статья из цикла про погоду: https://reginaobninsklab.github.io/posts/obninsk-climate-part1-temp/
👍3⚡1❤🔥1🔥1
Согласно результатам нашего анализа (см. предыдущий пост) #Руниверсалис менее других используют ботов, но с такими редакторами разве нужны боты?
Опубликовали материал про русскоязычные энциклопедии. https://reginaobninsklab.github.io/posts/kaluga-locations-wiki-revisions/ На выборке статей о населённых пунктах Калужской области показали динамику правок на платформах #Википедия, #РУВИКИ и #Руниверсалис.
упоминания @lezhnin_ministr в ТГ-каналах СМИ Калужской области
👍1
упоминания @tatianaleonovaobninsk в ТГ-каналах СМИ Калужской области
👍1
А Вы уже выбрали, какую "википедию" читать? А в какую писать про родные просторы? Мы давно хотели это сделать - опубликовали список страниц о районах и населённых пунктах Калужской области в Википедии, Викиданных, а также в русскоязычных проектах РУВИКИ и Руниверсалис. Бонусом для начинающих картографов - кооординаты (в дополнение к ранее опубликованным плиточным картам). PS. Таблицу можно забрать себе, лицензия отк…
Как новый управляющий Обнинска В.В. Лежнин (@lezhnin_ministr) привык характеризовать действия и качества? В апреле мы публиковали анализ распространенных и уникальных наречий в ТГ-каналах видных персон Калужской области. На иллюстрации видны наречия, наиболее часто используемые в ТГ-канале бывшего министра. А следующие наречия встречались только в его ТГ-канале: бестрепетно, зеркально, искусно, коммерчески, краткосро…
😁2👌1🤔1
Showing the 12 most recent of 20 posts we hold for @regina_lab. 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.
@ac_fioco · 9,8971 postIvan Begtin
@begtin · 9,1391 post#ЭтоМолодёжнаяПолитикаДетка
@elenavalueva40 · 2401 postМиронов_в_теме 💼
@mironov_v_teme · 3701 postМолодёжный центр города Калуги
@molodcentr40 · 1711 postОбластной Молодёжный Центр
@molodezh40_klg · 4911 post#Молодёжь40
@molodezh_kalugaregion · 3461 postДвижение Первых | Калужская область
@mypervie40 · 1,0911 postОБНИНСКИЙ МОЛОДЁЖНЫЙ ЦЕНТР
@omc40obninsk · 8491 postРуниверсалис
@runiversalis · 1,4471 postТатьяна Леонова
@tatianaleonovaobninsk · 9211 postСтанислав Орехов информирует
@uatk_Orekhov_SP · 2241 post
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.
Handles this channel named that no longer answer
- Dead references
- 2
- handles named in this channel’s posts, vacant today
- Evidenced gone
- 0
- we ourselves saw one of these resolve, at some point
- Never seen alive
- 2
- vacant every time we have ever looked
@regina_lab named 2 handles that resolve to nothing today. That is a fact about the reference, not necessarily a fact about the handle’s history — see the two groups below.
Most of these may never have existed as a live channel at all.A handle a channel names can be a typo, an aspirational name nobody registered, or a channel that was already gone before this one ever mentioned it. Unless a row below is marked evidenced, all we know is that it references a handle that is not a live channel today — not that anything “died”. How this is measured.
Never seen alive
References a handle that is not a live channel — we have no record it ever was one.
named in 2 posts, 12 August 2026 – 12 August 2026
named in 1 post, 12 August 2026 – 12 August 2026
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 11 August 2026 — this entry's latest reading, not the date you are reading this.
“ReginaLab” (@regina_lab), 26 subscribers as measured 11 August 2026. Telegram Register, tgregister.com/channel/regina_lab.
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.