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Channel

(Не)случайные опросы

@nonrandom_surveys

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

223subscribers

-1 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-1001965447949
TypeChannel
Username@nonrandom_surveys
Created11 July 2023 — measured — dated from the channel’s first post
First recorded8 October 2026
Last confirmed live8 October 2026
Measurements held7
On Telegramt.me/nonrandom_surveys

Topic

Technology — 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 8 October 2026 and assigned it the closest of 31 fixed categories, at 68% 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

223224223.57 August 2026 — 224 subscribers15 August 2026 — 223 subscribers21 August 2026 — 224 subscribers3 September 2026 — 223 subscribers11 September 2026 — 224 subscribers3 October 2026 — 223 subscribers8 October 2026 — 223 subscribers7 August 20268 October 2026
7 measurements spanning 62 days, net -1. 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 223–224 and does not start at zero.
Measurement log — every subscribers count we have recorded
Measured (UTC)SubscribersChange
8 Oct 2026, 16:23223no change
3 Oct 2026, 03:02223-1
11 Sept 2026, 06:18224+1
3 Sept 2026, 11:00223-1
21 Aug 2026, 11:53224+1
15 Aug 2026, 01:27223-1
7 Aug 2026, 10:11224first reading

Engagement

8 posts held, back to 11 July 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 page of Telegram’s post history, 20 posts per page.

ERR · 30 days
55.6%
avg views ÷ 223 subscribers
Avg views / post
124
1 post measured
Reaction rate
8.87%
reactions ÷ views · ER floor
Posts in window
1
of 8 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
WindowRolling 30 days · latest post in window 7 October 2026
Posts held8 (11 July 2023 – 7 October 2026)
Views total124
Reactions total11
Forwards / commentsnot exposed by the public surface — not measured, not estimated
Readings taken8 Oct 2026, 16:23 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.

What this channel posts

Photos
1
Links
5

Lifetime counters from Telegram’s own channel header, read 8 October 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.

Reaction mix

52 reactions across 6 posts, in 4 distinct kinds. The most used accounts for 32.7% of them.

Every reaction kind recorded on the sample, most used first
ReactionCountShareShare, drawn
❤1732.7%
👍1732.7%
🔥1426.9%
❤‍🔥47.69%

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 6 of the 8 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 52 reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.

Measured over the 8 most recent posts we hold, published 11 July 2023 to 7 October 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

7 Oct 2026, 15:40 UTC124 views11 reactionsread 8 October 2026

Синтетики vs опросы С подачи коллеги свежий обзор нашего любимого Pew Research про сопоставление ИИ-респондентов с опросными данными (вдруг, вы тоже пропустили) 📊📊🦾 (Can AI Stand In for Human Survey-Takers? Not Really 30.09.2026). Что сделали Pew: собрали «цифровых двойников» реальных участников своей репрезентативной панели American Trends Panel и дали им пройти те же опросы. Взяли три волны 2026 года, 291 вопрос …

❤5👍5🔥1

24 Oct 2023, 17:31 UTC≈1,470 views6 reactionsread 8 October 2026

Левада-Центр на основе F2F опроса выяснил, как часто владельцы мобильных телефонов берут трубку с незнакомых номеров: ▫️6 из 10 (61%) отвечают на звонки с неизвестного номера. Реже остальных берут трубку в таких случаях жители сел, люди без высшего образования, с низким материальным положением, молодежь 18-24 лет и люди 55+лет. Что в целом бьётся с показателями недостижимости выборок ВЦИОМ👆 ▫️Каждый третий (33%) и…

❤6

12 Oct 2023, 14:37 UTC≈1,490 views12 reactionsread 8 October 2026

Неразговорчивое большинство: как меняется достижимость выборок во время сво? На основе параданных о достижимости выборок телефонных опросов (с мая 2022 по сентябрь 2023) и невзвешенных данных массивов ВЦИОМ мы проанализировали изменения в период сво: ⛔️ Отказы: с мая 2022 года на треть выросла доля отказов от участия в опросе. RR1 снизился с 2.4% до 1.6%, количество прерванных анкет выросло на 22%. 📈Динамика: паде…

🔥12

12 Jul 2023, 18:12 UTC≈1,370 views9 reactionsread 8 October 2026
Photo

По части методологии и качества опросов боли сильно больше: 🔹Публикации в сми. в 43% из опрошенных стран отмечают низкое качество публикаций журналистов по итогам опросов 🔹Прозрачность методологии. Только в странах 24% отметили, что методология опубликованных опросов легко доступна, в 11% эту информацию можно получить по запросу, в 20% - такая отчетность по большинству опросов недоступна. 🔹Метод сбора данных. Доми…

👍9

12 Jul 2023, 17:48 UTC≈2,070 views6 reactionsread 8 October 2026

Сегодня вышел отчет WAPOR и ESOMAR о степени свободы в проведении опросов общественного мнения "Freedom to Publish Opinion Polls 2022". Данные собираются раз в 5 лет, и последняя волна была в 2022 году и охватила 157 стран. Поскольку в этой волне принимали коллегиальное участие в качестве экспертов, было любопытно получить сопоставимую картинку по ситуации с опросами в мире. Ключевое из исследования: 🔸 Ограничения …

❤6

11 Jul 2023, 13:36 UTC708 views8 reactionsread 8 October 2026

Списочные эксперименты: так ли они хороши для опросов по чувствительным темам? Item count technique (ICT) стала практически панацеей для исследователей, занимающихся опросами в странах авторитарного режима. И хотя методика изначально применялась для опросов на деликатные темы (про отношение к иммигрантам или к наркотикам), ее стали широко использовать для выявления фальсификаций предпочтений. В российских реалиях …

❤‍🔥4👍3🔥1

Showing the 8 most recent of 8 posts we hold for @nonrandom_surveys. 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 8 October 2026 — this entry's latest reading, not the date you are reading this.

“(Не)случайные опросы” (@nonrandom_surveys), 223 subscribers as measured 8 October 2026. Telegram Register, tgregister.com/channel/nonrandom_surveys.

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.