Channel
@lazykeppelbay
On this record: Growth · Engagement · What this channel posts · Reactions · Posts · Citations · Cite this entry
105subscribers
+0 since we began measuring on 7 August 2026
Risers and fallers across the register · movement among entries of Under 1,000.
| Telegram ID | -1001273459670 |
|---|---|
| Type | Channel |
| Username | @lazykeppelbay |
| Description | Singapore - Lazy notes Записки из Сингапура о том, что происходит вокруг него. Ну, и в нем самом тоже… Записки неспешные и, хочется думать, полезные. https://www.facebook.com/lazykeppelbay/ Обратная связь: @sai1978 |
| Created | Between 1 April 2018 and 31 July 2021— estimated from Telegram’s id allocation, not measured. How this range is calculated. |
| First recorded | 9 August 2026 |
| Last confirmed live | 14 August 2026 |
| Measurements held | 2 |
| On Telegram | t.me/lazykeppelbay |
| Measured (UTC) | Subscribers | Change |
|---|---|---|
| 9 Aug 2026, 09:01 | 105 | no change |
| 7 Aug 2026, 00:53 | 105 | first reading |
20 posts held, back to 1 February 2023 — 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 22 May 2025. An engagement rate over an empty window would be a number about nothing.
Lifetime counters from Telegram’s own channel header, read 9 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.
Measured directly from 1 video 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.
87 reactions across 19 posts, in 2 distinct kinds. The most used accounts for 92.0% of them.
| Reaction | Count | Share | Share, drawn |
|---|---|---|---|
| 👍 | 80 | 92.0% | |
| 👎 | 7 | 8.05% |
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 19 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 87reactions 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 1 February 2023 to 22 May 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.
До того как Сингапур стал современным городом-государством с чёткими законами, улицы контролировали тайные общества — в основном китайские братства с глубокими историческими корнями. Среди самых известных — «Хой Кван» (Hoey Kuan), «Три объединения» (San Yee On) и «14 Кингз» (14K), которые имели ярко выраженную этническую и клановую структуру. Изначально эти общества возникли как сообщества взаимопомощи для китайских…
👍6
Тайные общества Сингапура: кто действительно правил улицами до появления государства?
Премьер-министр Ли Куан Ю на пресс-конференции 9 августа 1965 года, после неожиданного решения о выдворении Сингапура из состава Малайзии. Страна не решила стать независимой — её вытолкнули. Этот момент отражает горечь и неопределённость в начале новой главы истории Сингапура.
👍5
Малайзия в первом квартале 2024 обогнала Таиланд по объемам продаж новых автомобилей и стала вторым автомобильным рынком Юго-Восточной Азии.
👍5
Расходы на жилье в Таиланде оцениваются на 8.7% выше, чем в России. www.mylifeelsewhere.com
👍4
Жилье в РФ обходится в среднем на 75.4% дешевле, чем в Сингапуре. www.mylifeelsewhere.com
👍4
"Готова к любой турбулентности!"
👍4
Одним из центров CЭЗ Джохор-Сингапур станет Iskandar Puteri. По сути это не просто город. Это крупнейший городской интегрированный комплекс в ЮВА, предлагающий надежную готовую инфраструктуру для бизнеса и проживания. Близость к Сингапуру - мощный катализатор роста. Зона станет центром торговли, инвестиций и туризма, стимулируя процветание Искандара Путери как нового экономического гиганта. #IskandarPuteri #Johor #…
👍5
В малазийском штате Джохор, на границе с Сингапуром, зарождается амбициозный проект, который может стать новым Шеньчжэнем Юго-Восточной Азии. В основе проекта лежит создание Специальной экономической зоны (СЭЗ) Johor-Singapore, призванной стать центром инноваций, финансов, логистики и туризма. Подписание ожидается до конца 2024 г.
👍4
Карьера Вонга на пути к этому посту отмечена несколькими ключевыми моментами: Преемственность и опыт: Назначение Вонга направлено на обеспечение непрерывности в политике Сингапура. За последние два года он занимал важные посты, такие как заместитель премьер-министра, председатель центрального банка Сингапура и сопредседатель рабочей группы по борьбе с COVID-19 . Неожиданный путь к лидерству: Вонг не был первоначал…
👍5👎1
Итак, на днях Лоуренс Вонг официально вступил в должность четвертого премьер-министра Сингапура, сменив Ли Сянь-Луна, который руководил страной на протяжении 20 лет.
👍4👎1
Photo, posted without a caption
👍4
Showing the 12 most recent of 20 posts we hold for @lazykeppelbay. 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.
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.
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.
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 9 August 2026 — this entry's latest reading, not the date you are reading this.
“Ленивый Сингапур” (@lazykeppelbay), 105 subscribers as measured 9 August 2026. Telegram Register, tgregister.com/channel/lazykeppelbay.
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.