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Channel

Левая Полоса Импорт

@lp_import

On this record: Topic · Growth · Engagement · Reactions · Posts · Cite this entry

62subscribers

-2 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-1002815322726
TypeChannel
Username@lp_import
CreatedBetween 1 June 2025 and 30 September 2025 — estimated from Telegram’s id allocation, not measured. How this range is calculated.
First recorded10 August 2026
Last confirmed live3 October 2026
Measurements held3
Confirmed unchanged1 time, most recently 3 October 2026
On Telegramt.me/lp_import

Topic

Automotive — 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 3 October 2026 and assigned it the closest of 31 fixed categories, at 100% 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.

Growth

6264637 August 2026 — 64 subscribers10 August 2026 — 64 subscribers3 October 2026 — 62 subscribers7 August 20263 October 2026
3 measurements spanning 56 days, net -2. 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 62–64 and does not start at zero.
Measurement log — every subscribers count we have recorded
Measured (UTC)SubscribersChange
3 Oct 2026, 01:1862-2
10 Aug 2026, 02:4864no change
7 Aug 2026, 14:4464first reading

Engagement

2 posts held, back to 24 February 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 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 2 posts for this entry, the most recent from 17 March 2026. An engagement rate over an empty window would be a number about nothing.

Reaction mix

10 reactions across 2 posts, in 3 distinct kinds. The most used accounts for 60.0% of them.

Every reaction kind recorded on the sample, most used first
ReactionCountShareShare, drawn
👍660.0%
🔥330.0%
👾110.0%

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 2 of the 2 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 10 reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.

Measured over the 2 most recent posts we hold, published 24 February 2026 to 17 March 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.

Recent posts

17 Mar 2026, 14:42 UTC214 views3 reactionsread 10 August 2026
Photo

🏎 Maserati Grecale Modena – доступен к заказу из Кореи • О модели: Maserati Grecale Modena — современный премиальный кроссовер итальянского бренда с ярким дизайном и спортивным характером. Сочетает динамику спорткара с комфортом премиум-SUV. • Краткие характеристики: Выпуск: апрель 2023 Двигатель: 2.0L, 330 л.с., бензин Привод: полный Пробег: 31.100 км • Комплектация: - Люк в крыше - Электропривод багажника - Скла…

👍2🔥1

24 Feb 2026, 08:22 UTC215 views7 reactionsread 10 August 2026
Photo

🏎 BMW 320Li – доступна к заказу из Китая • О модели: BMW 320Li — удлинённая «тройка» с комфортом бизнес-класса и фирменной управляемостью BMW. А благодаря 156 л.с. проходит по низкому утильсбору – один из самых выгодных вариантов в своём сегменте. • Краткие характеристики: - Выпуск: 2021 год - Двигатель: 2.0L, 156 л.с., бензин - Привод: задний - Пробег: 48.000 км • Комплектация: - Электропривод багажника - Панорам…

👍4🔥2👾1

Showing the 2 most recent of 2 posts we hold for @lp_import. 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.

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 3 October 2026 — this entry's latest reading, not the date you are reading this.

“Левая Полоса Импорт” (@lp_import), 62 subscribers as measured 3 October 2026. Telegram Register, tgregister.com/channel/lp_import.

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.