Channel
@low_theory_raw
On this record: Growth · Engagement · What this channel posts · Reactions · Posts · Citations · Cite this entry
297subscribers
+0 since we began measuring on 6 August 2026
Risers and fallers across the register · movement among entries of Under 1,000.
| Telegram ID | -1001865077339 |
|---|---|
| Type | Channel |
| Username | @low_theory_raw |
| Description | Социологический шитпостинг. Подписывайтесь на мой основной канал: @low_theory |
| Created | 4 February 2023 — measured — cross-checked against a third-party dataset (ext.tg_channel) |
| First recorded | 6 August 2026 |
| Last confirmed live | 14 August 2026 |
| Measurements held | 2 |
| On Telegram | t.me/low_theory_raw |
| Measured (UTC) | Subscribers | Change |
|---|---|---|
| 6 Aug 2026, 22:33 | 297 | no change |
| 6 Aug 2026, 16:39 | 297 | first reading |
15 posts held, back to 27 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 1 pageof Telegram’s post history, 20 posts per page.
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. It is computed over the 8 of 10 measured posts that carry a reaction reading, and over those same posts' views.
| Window | Rolling 30 days · latest post in window 4 August 2026 |
|---|---|
| Posts held | 15 (27 June 2026 – 4 August 2026) |
| Views total | 1,784 |
| Reactions total | 45 |
| Forwards / comments | not exposed by the public surface — not measured, not estimated |
| Readings taken | 6 Aug 2026, 22:33 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.
Lifetime counters from Telegram’s own channel header, read 6 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.
70 reactions across 13 posts, in 10 distinct kinds. The most used accounts for 40.0% of them.
| Reaction | Count | Share | Share, drawn |
|---|---|---|---|
| ❤ | 28 | 40.0% | |
| 👍 | 13 | 18.6% | |
| 🔥 | 12 | 17.1% | |
| 💯 | 7 | 10.0% | |
| 🤓 | 3 | 4.29% | |
| 🙏 | 2 | 2.86% | |
| 🤔 | 2 | 2.86% | |
| 👀 | 1 | 1.43% | |
| 😁 | 1 | 1.43% | |
| 😢 | 1 | 1.43% |
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 13 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 70reactions 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 27 June 2026 to 4 August 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.
Я ЖЕ ГОВОРИЛ Опросы давно показывают сильное ухудшение отношения поляков к украинцам и беларусам начиная с 2022. Я про это писал почти два года назад, но тогда в комментариях многие пришли доказывать, что опросы это интеллектуальный шлак и реальность они не отражают. Потому что у комментаторов есть знакомые поляки, которые хорошо относятся к беларусам - это куда более надежный источник, чем опросы. Затем в прошлом …
💯7😢1
В своей знаменитой схеме Майкл Буравой выделял четыре типа социологии: 1) Профессиональная социология - развивает крупные исследовательские программы, как социология знания социология образования и т.п. В пример он приводит американскую социологию 1970-80-х, где главным достижением было написать статью в академический журнал который прочитает пару десятков таких же социологов. 2) Прикладная социология (policy socio…
Центр Новых идей выпустил исследование про транзит власти в Беларуси, но ключевой тезис отчета уже озвучил двадцать лет назад Стас Почобут: https://www.youtube.com/watch?v=bpjjWZdnf5w
❤10
Паважаныя сябры і сяброўкі, нагадваю, што мы робім апытанне на вельмі важную тэму, прайдзіце калі ласка! Гэта сапраўды зойме каля 7 хвілін, але для нас кожны адказ вельмі важны - у тяперашнія часы вельмі цяжка набіраецца выбарка. Дарэчы, мы дадалі ў анкету беларускую мову - пераключаецца ў верхнім правым куце першага экрана
Шаноўнае спадарства, тут калегі папрасілі падзяліцца з вамі інфармацыяй. Запрашаем беларусаў і беларусак Польшчы прайсці апытанне пра ахвяраванні на грамадскія праекты і дабрачыннасць Узаемная падтрымка і салідарнасць-важная частка беларускага досведу. Пры гэтым грамадскія арганізацыі і праекты часта сутыкаюцца з недахопам рэсурсаў. Каб разабрацца, як зрабіць ахвяраванні больш эфектыўнымі, зручнымі і бяспечнымі, Л…
👍4
В комментах к прошлому посту про поведенческая наука" (behavioural science) правильно подметили, что теория была популярна некоторое время назад, но сегодня буксует. Вот в этом подкасте два ее бывших энтузиаста обсуждают проблемы с этой дисциплиной. И главная проблема в том, что эти "толчки" - хитрые приемчики, которые призваны направить поведение людей в нужное русло в большинстве просто не работают. И главная прич…
❤3👍2🔥1
Открыл для себя, что существует дисциплина, которая называется "поведенческая наука" (behavioural science). Как я понял из лекции это смесь психологии и экономики. То есть в какой-то момент экономисты поняли, что их модели не могут объяснить многое в поведении людей. Потому что эти модели предполагают, что люди всегда действуют утилитарно и рационально. Следовательно, чтобы глубже понять поведение людей нужны инструм…
🔥4
Друзья и подруги, кто живет в Польше, пройдите, пожалуйста опрос! Я работаю на этом проекте и вижу как медленно собирается выборка, поэтому для нас каждое заполнение на вес золота 🙏 ————— Запрашаем беларусаў і беларусак Польшчы прайсці апытанне пра ахвяраванні на грамадскія праекты і дабрачыннасць Узаемная падтрымка і салідарнасць-важная частка беларускага досведу. Пры гэтым грамадскія арганізацыі і праекты часта …
🙏2👍1
https://youtu.be/4FJFZdUQIUs?is=zezJTTiDEcopaLLR Нашел ролик в котором популярно объясняют что не так с моральным рефреймингом. Вернее не с самим рефреймингом, а с Теорией моральных оснований (MFT). Рефрейминг базируется на том, что у людей есть пять фундаментальных ценностей, и чтобы успешно убеждать либералов следует апеллировать к справедливости и заботе, консерваторов - на лояльности, власти и чистоте. 1) Пробл…
❤4
Вось вам Уладзімір Фурс амаль 20 год таму распавёў якім павінен быць апазіцыйны нацыяналізм, каб мець шансы перамагчы лукашэнкаўскі нацыяналізм. Ну, гэта калі вы ўвогуле лічаце, што нацыяналізм хаця б у нейкай форме патрэбны
❤3👀1🤔1😁1
Почему беларусы до сих пор не скинулись на революцию или хотя бы на содержание полностью независимых от западных доноров общественных/культурных/политических организаций? Этого я не знаю, но прочитал статью, где описано 8 механизмов, которые объясняют почему люди донатят - может какой-то из них или все они сломаны в нашем гражданском обществе. В обзоре суммированы результаты 500 эмпирических исследований из разных …
❤7
Во время войны или подобной внешней угрозы общество объединяется вокруг текущей власти - эффект "rally 'round the flag". Но как реагирует поляризованное общество, где изначально есть два враждующих лагеря? Это актуальный для Беларуси вопрос, на который отвечает свежая статья про Израиль. На примере реакции общества на атаку 7 октября 2023 года авторы показали, что поляризованное общество не обязательно сплачивается в…
👍2
Showing the 12 most recent of 15 posts we hold for @low_theory_raw. 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.
Citation-graph rank — 291,202 of 1,350,102entries 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.
Republished by
Channels on the register that have forwarded this channel's posts into their own feed.
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.
Named by 2 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.
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 6 August 2026 — this entry's latest reading, not the date you are reading this.
“плодотворные дебютные идеи” (@low_theory_raw), 297 subscribers as measured 6 August 2026. Telegram Register, tgregister.com/channel/low_theory_raw.
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.