Channel
@lilianadavydova
On this record: Growth · Engagement · What this channel posts · Reactions · Posts · Citations · Cite this entry
90subscribers
+0 since we began measuring on 7 August 2026
Risers and fallers across the register · movement among entries of Under 1,000.
| Telegram ID | -1002177095209 |
|---|---|
| Type | Channel |
| Username | @lilianadavydova |
| Description | Заметки, психология, жизнь и всякие разные мысли)) |
| Created | Between 1 June 2024 and 30 September 2024 — estimated from Telegram’s id allocation, not measured. How this range is calculated. |
| First recorded | 9 August 2026 |
| Last confirmed live | 14 September 2026 |
| Measurements held | 2 |
| On Telegram | t.me/lilianadavydova |
| Measured (UTC) | Subscribers | Change |
|---|---|---|
| 9 Aug 2026, 14:45 | 90 | no change |
| 7 Aug 2026, 12:55 | 90 | first reading |
4 posts held, back to 1 September 2025 — 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 page 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 4 posts for this entry, the most recent from 31 July 2026. 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.
36 reactions across 4 posts, in 4 distinct kinds. The most used accounts for 58.3% of them.
| Reaction | Count | Share | Share, drawn |
|---|---|---|---|
| ❤ | 21 | 58.3% | |
| 🔥 | 11 | 30.6% | |
| 👍 | 2 | 5.56% | |
| 😍 | 2 | 5.56% |
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 4 of the 4 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 36 reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.
Measured over the 4 most recent posts we hold, published 1 September 2025 to 31 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.
Лето в Армении — это особая история: солнце щедро льётся с неба, улицы наполнены светом, а в воздухе витает запах трав и спелых фруктов. Жара здесь не изнуряющая, а какая-то уютная — будто сама земля обнимает тебя тёплыми лучами. ☀️ Но главное — люди. Их искренность, гостеприимство и умение радоваться простым вещам трогают до глубины души. В каждом взгляде, в каждой улыбке — тепло, которого так иногда не хватает в Мо…
❤6🔥4👍2
Мне 6 или 7 лет — и весь мир кажется чуть волшебнее. Раннее утро, птички поют, а я стою у окна и не могу оторвать взгляд от Арарата. В комнату доносится невероятный запах, только что испеченных бабушкой, хачапури… А рядом, на подоконнике, сушится пастила из алычи, которую мы называем «кислым лавашом». Я конечно же не выдерживаю и слизываю ее с тарелки раньше, чем она превратится в ту самую пастилу. Все это — мое ма…
❤6🔥4😍2
Мещанство — это такое состояние человека, когда он делается рабом незаметно для себя. Рабом вещей, удобств, денег, карьеры, благополучия, привычек. Он перестает быть свободным, и у него вырабатывается типично рабское мировоззрение. Он теряет свое «я», свое мнение, начинает соглашаться, поддакивать тем, в ком видит господина. Борис Васильев
❤5🔥2
Ментальное здоровье - как сад: его надо поливать, подрезать, удобрять. Но в городе мы часто просто бежим по асфальту с пустой лейкой, лишь бы бежать. ❤️🩹 Делитесь, что помогает вам поддерживать свое ментальное здоровье в ритме большого города?👇🏼
❤4🔥1
Showing the 4 most recent of 4 posts we hold for @lilianadavydova. 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.
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.
“🖇️ Лилиана Давыдова” (@lilianadavydova), 90 subscribers as measured 9 August 2026. Telegram Register, tgregister.com/channel/lilianadavydova.
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.