This channel’s posts match, word for word or near enough, posts on 1 other registered channel, found by comparing text fingerprints across every channel on the register. That matching has been checked by hand against the live Telegram pages and found reliable — 0 wrong of 45 pairs re-read.
Which channel, if either, published first is deliberately not shown. The same hand-check found that reading wrong 18 of 45 times — 60%, no better than a coin flip — because it depends on how deep our own crawl happened to reach into each channel’s history, not on when the content was actually first posted. This list is ordered by subscriber count, the same as every other listing on this site, never by which channel we think came first. Word-for-word matching has several ordinary explanations besides copying — a channel mirroring itself, an unattributed repost, or two channels independently repeating the same wire story — and this measurement cannot tell those apart. How this is measured.
5 measurements spanning 7 days, net -22. 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 5,040–5,068 and does not start at zero.
Measurement log — every subscribers count we have recorded
Measured (UTC)
Subscribers
Change
13 Aug 2026, 11:23
5,043
-6
10 Aug 2026, 02:51
5,049
-13
6 Aug 2026, 16:13
5,062
-3
6 Aug 2026, 03:47
5,065
no change
6 Aug 2026, 01:02
5,065
first reading
Engagement
15 posts held, back to 8 June 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 8 pagesof Telegram’s post history, 20 posts per page.
ERR · 30 days
91.9%
avg views ÷ 5,043 subscribers
Avg views / post
4,640
3 posts measured
Reaction rate
6.47%
reactions ÷ views · ER floor
Posts in window
3
of 15 held
ERR is average views per post over the last 30 days divided by subscribers, the definition TGStat uses, so this figure is comparable with the one you will see elsewhere. It falls structurally as a channel grows: a high ERR on a small channel and a low one on a large channel describe reach mathematics, not quality. We publish the figure and the sample it came from and pass no verdict on it.
ER is defined industry-wide as (forwards + reactions + comments) ÷ views— note the denominator is views, not subscribers. Telegram’s public web preview carries views and reactions but not forward or comment counts, so the reaction rate above is the reactions term only and is therefore a floor: the true ER for this channel is higher by an amount we have not measured and will not estimate.
What these figures were computed from
Window
Rolling 30 days · latest post in window 24 July 2026
Posts held
15 (8 June 2026 – 24 July 2026)
Views total
13,910
Reactions total
900
Forwards / comments
not exposed by the public surface — not measured, not estimated
Readings taken
12 Aug 2026, 04:53 UTC
Views are a single reading per post, taken at the time above. A post published in the last day or two is still accumulating views, which pulls the 30-day average down slightly. That is a property of the standard definition rather than a fault in it, so we keep the definition rather than “correcting” the number into something nobody can reproduce.
Precision. Telegram publishes view counts on its public widget in short form — 8.12K, 3.7M — so any reading at or above 1,000 reaches us rounded to three significant figures, and only counts below 1,000 are exact. Averages and rates derived from them are shown to the same precision rather than to the unit: a figure like 3,701,250 would assert digits nobody measured.
Reaction counts are published per emoji and rounded the same way, so a total below 1,000 is exact and a larger one is a sum that may carry a rounded component from each emoji above 1,000. Because it is a sum, it does not look rounded — read a large reaction total as three significant figures per contributing emoji rather than as the figure it prints.
Reaction mix
1,879 reactions across 14 posts, in 12 distinct kinds. The most used accounts for 23.7% of them.
Every reaction kind recorded on the sample, most used first
Reaction
Count
Share
Share, drawn
custom 5197646705813634076
446
23.7%
❤
365
19.4%
custom 5314605266648466603
297
15.8%
🤬
191
10.2%
🔥
175
9.31%
👍
132
7.03%
🕊
103
5.48%
🥰
53
2.82%
💔
49
2.61%
👎
35
1.86%
🏆
17
0.905%
🎉
16
0.852%
Custom emoji. 2 of the rows above are Telegram custom emoji, which the public preview renders as an element carrying only a numeric id — no character, and no image we can reach. The id is printed as-is rather than substituted with a look-alike glyph, because a stand-in would be our invention showing where a measurement should be. The counts beside them areTelegram’s.
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 14 of the 15 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 1,879reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.
Measured over the 15 most recent posts we hold, published 8 June 2026 to 24 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.
Telegram Stars
Stars received
21
across the posts below
Posts paid on
12
of 14 we hold a reading for · 86%
Most on one post
4
single highest reading
A paid reaction is a reader spending Telegram Stars — bought with money — on a post by @lpr_tg. Telegram publishes the count on the public post preview alongside ordinary reactions, and this register reads it there. It is the only figure on this site that measures money moving rather than attention.
Stars are not reactions, and the two are never added. They are rendered in the same strip on Telegram and counted in the same shape, but one is a tap and the other is a purchase. The reaction totals and the engagement rate elsewhere on this page exclude every figure in this section, and no rate here is computed against a reaction count.
This is not revenue, and we publish no currency figure. What a Star costs a reader and what it pays a channel are different numbers, Telegram takes a share we cannot observe, and the terms have changed. Converting a Star count into money would be an estimate dressed as a measurement, so the count is where we stop.
Counted over the 15 most recent posts we hold for this entry, published 8 June 2026 to 24 July 2026. Star counts above 1,000 reach us in Telegram’s short form and carry the same three-significant-figure rounding as everything else on this page.
Дорогие наши друзья,
24 июля 2026 года Министерство юстиции РФ внесло Либертарианскую партию России — саму организацию, её ресурсы в социальных сетях и ряд участников — в реестр так называемых «иностранных агентов». (Об основаниях и законности этого абсурда говорить просто не приходится. У чиновников пятница, и надо кого-то обозвать — вот и всё основание).
Мы хотим воспользоваться последней возможностью обратиться …
С 2020 года в России существуют две организации под названием «Либертарианская партия России». Через час другой из них запрещено будет что-либо публично писать без плашки «данное сообщение».
Сегодня Министерство юстиции внесло Либертарианскую партию* в список иностранных агентов. По нашему мнению, это враньё и позор — позор не для внесённых в список, а для тех, кто эти списки высасывает из пальца.
Либертарианцы — н…
🗳 ДЕБАТЫ | Выборы в Госдуму: голосовать за Яблоко или Новых Людей?
Приближается очередной электоральный сезон — осенью пройдут выборы в Государственную думу. Никто не питает иллюзий по поводу честности этих выборов, но, как и всегда, оппозиционно настроенные граждане задаются вопросом, как использовать выборы по максимуму для сокращения влияния «Единой России». За кого голосовать, идти ли на выборы вообще?
Уже завт…
🤬 Борис Надеждин признан «иноагентом»
Еженедельные новости о том, что кого-то из оппозиционных политиков попал в реестр так называемых «иностранных агентов», уже вошли в привычку — ни для кого не секрет, что это просто узаконенный способ клеймить неугодных, но каждый пятничный список Минюста всё равно не может не возмущать. Государство мстит Надеждину за то, что он сумел объединить сотни тысяч людей вокруг своей пре…
✉️ Кампания в защиту прав Андрея Шабанова
Ранее мы рассказывали, что политзаключённый и сторонник ЛПР Андрей Шабанов был помещён в ШИЗО и подвергся давлению под предлогом нарушения «тюремных законов».
Кампания по отправке жалоб уже принесла первые результаты: с Андреем встретился сотрудник прокуратуры, а заключённый, напавший на него, был наказан.
Группа поддержки Андрея просит продолжать отправлять жалобы. Шаблон…
❗️Сторонник ЛПР Андрей Шабанов предположительно находится в ШИЗО
Мать Андрея сообщила, что уже несколько дней не может связаться с сыном. По её словам, после последнего телефонного разговора он перестал выходить на связь, а «есть все предпосылки», что сейчас его могли поместить в штрафной изолятор (ШИЗО).
Ранее мы сообщали, что после конфликта в колонии Андрею угрожали другие заключённые, запрещали пользоваться сво…
💰Сколько вы на самом деле платите государству? | Налоговая карта России
Кажется, что главный налог — это 13% НДФЛ. Но кроме него существуют страховые взносы, НДС и другие платежи, которые тоже оплачиваются из ваших денег. Государству уходит значительно больше, чем принято думать.
Мы запустили «Налоговую карту России 1992–2026» — интерактивный проект, который показывает, как менялась налоговая нагрузка за последние …
🇩🇪 Предвыборные кампании Конрада Аденауэра | Запись лекции Сергея Шклюдова
Почему Конрада Аденауэра называют архитектором современной Германии? Какие политические решения определили послевоенное развитие страны? И как выглядели предвыборные кампании человека, сумевшего превратить разрушенную Германию в одну из ведущих европейских демократий?
Лекция Сергея Шклюдова охватывает политический путь Аденауэра — от руковод…
🤬 Андрею Шабанову угрожают в колонии: потребуйте защитить его права
Андрей сообщил, что другие заключённые не позволяют ему пользоваться собственной койкой, общим холодильником и посещать кухню. Кроме того, ему неоднократно угрожали физической расправой. По словам Андрея, причиной стало нарушение неформальных тюремных правил: он сел на место, которое по местным «воровским» понятиям считается территорией так называем…
🍴 Борис Надеждин об оппозиции, демографии и выборах в современной России
Что происходит с российской политикой сегодня? Есть ли будущее у системной оппозиции? Чему Бориса Надеждина научила президентская кампания?
Публикуем запись встречи Московского отделения ЛПР с Борисом Надеждиным. После основной беседы политик ответил на вопросы аудитории — от демографии до перспектив «Новых людей» и «Яблока».
🦅 Сайт партии и …
❤47👍25🕊8🏆7🔥4👎2
Showing the 12 most recent of 15 posts we hold for @lpr_tg. 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.
Stars beside a post are paid reactions — Telegram Stars, bought with money and spent on that post. They are a different unit from reactions and are never added to them, here or anywhere else on this page.
Citation-graph rank
Citation-graph rank — 23,945 of 1,169,250entries in the measured graph. A weighted position computed from the forward and mention edges below — republished posts weigh more than named mentions — and recomputed periodically, over the whole graph. Published only as this ordinal position, never as a score: a position is a fact, and a score printed beside one channel’s name would read as a verdict this register does not make. The two counts beneath stay separate for the same reason mentions are never summed with forwards anywhere else on this page — a named-by count costs nothing to manufacture. The top 100 by this measure, or how it is computed.
Forward network
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.
Mentions
Named by 18 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.
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.
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
@lpr_tg 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.
@bardin_io named in 2 posts, 8 August 2026 – 9 August 2026
@ir_ridii named in 2 posts, 8 August 2026 – 9 August 2026
Cross-platform identity — Wikidata
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.
This handle named by sources this register does not control and did not measure — each shown exactly as found, attributed by name, dated to when it was read.
Wikipedia
3 Wikipedia articles name this handle in its article text, found by searching for a t.me link inside the article source. A citation is a notability signal, not a verification: nobody here confirmed the cited post is genuine or still says what the article quotes. Article text is CC BY-SA 4.0, Wikipedia contributors; snippets below are short excerpts.
Libertarian Party of Russia(en.wikipedia.org) “…Russia{{Cite web |title=Либертарианская партия России (ЛПР) |url=https://t.me/lpr_tg/5694 |access-date=2025-05-22 |website=Telegram}} due to increased…” read 9 August 2026
Бойко, Сергей Сергеевич (политик)(ru.wikipedia.org) “…просветительской и агитационной деятельностью{{Cite web|url=https://t.me/lpr_tg/6254|title=Лекция Павла Усанова и Сергея Бойко в Томске…” read 9 August 2026
Либертарианская партия России(ru.wikipedia.org) “…интернет-формате{{cite web |author= |author-link= |coauthors= |url=https://t.me/lpr_tg/5887|title=Мир, свобода, либертарианство. VIII Съезд Либертарианской…” read 9 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 13 August 2026 — this
entry's latest reading, not the date you are reading this.
“Либертарианская партия России (ЛПР)” (@lpr_tg), 5,043 subscribers as measured 13 August 2026. Telegram Register, tgregister.com/channel/lpr_tg.
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.