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Channel

Demographic Digest

@DemographicDigest

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

319subscribers

-5 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-1001470422264
TypeChannel
Username@DemographicDigest
CreatedBetween 1 April 2019 and 30 September 2021 — estimated from Telegram’s id allocation, not measured. How this range is calculated.
First recorded8 August 2026
Last confirmed live6 October 2026
Measurements held5
Confirmed unchanged3 times, most recently 6 October 2026
On Telegramt.me/DemographicDigest

Topic

Other / unclassifiable — 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 22 September 2026 and assigned it the closest of 31 fixed categories, at 72% 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

319324321.57 August 2026 — 324 subscribers8 August 2026 — 324 subscribers27 August 2026 — 322 subscribers3 September 2026 — 321 subscribers12 September 2026 — 319 subscribers7 August 202612 September 2026
5 measurements spanning 36 days, net -5. 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 318–325 and does not start at zero.
Measurement log — every subscribers count we have recorded
Measured (UTC)SubscribersChange
12 Sept 2026, 09:40319-2
3 Sept 2026, 22:00321-1
27 Aug 2026, 00:14322-2
8 Aug 2026, 07:20324no change
7 Aug 2026, 09:23324first reading

Engagement

10 posts held, back to 19 April 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.

Nothing published in the last 30 days. ERR and ER are rolling 30-day measures, so there is nothing to compute — we hold 10 posts for this entry, the most recent from 1 April 2025. An engagement rate over an empty window would be a number about nothing.

Reaction mix

83 reactions across 9 posts, in 4 distinct kinds. The most used accounts for 62.7% of them.

Every reaction kind recorded on the sample, most used first
ReactionCountShareShare, drawn
❤5262.7%
👍2530.1%
🔥56.02%
😱11.20%

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 9 of the 10 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 83 reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.

Measured over the 10 most recent posts we hold, published 19 April 2023 to 1 April 2025, 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

1 Apr 2025, 20:58 UTC387 views33 reactionsread 8 August 2026
Photo

Дорогому, прекрасному, удивительному Анатолию Григорьевичу Вишневскиому сегодня исполнилось бы 90 лет. Ковид забрал его четыре года назад. Но и в 85 это ощущалось непозволительно рано. АГ оставался центральной фигурой в российской демографии. И равноценной замены ему, вероятно, никогда и не будет. Это огромное везение на (досадно коротком) отрезке жизни иметь такого учителя ❤️‍🩹

❤33

10 May 2023, 09:57 UTC≈19,400 views12 reactionsread 8 August 2026

#DemDigest d006 Hrzic, R., Vogt, T., Brand, H., & Janssen, F. (2023). District-Level Mortality Convergence in Reunified Germany: Long-Term Trends and Contextual Determinants. Demography, 10422945. https://doi.org/10.1215/00703370-10422945 После объединения восточной и западной Германии наблюдалось быстрое сокращение значительного отставания восточной части страны по показателям смертности. Однако до сих пор анализ п…

👍12

3 May 2023, 16:44 UTC≈8,640 views6 reactionsread 8 August 2026

#DemDigest d005 Basellini, U., Camarda, C. G., & Booth, H. (2022). Thirty years on: A review of the Lee–Carter method for forecasting mortality. International Journal of Forecasting. https://doi.org/10.1016/j.ijforecast.2022.11.002 Знаменитая статья Lee-Carter недавно отпраздновала тридцатилетие. Это, видимо, главная демографическая публикация в области исследования смертности и прогнозирования ее изменений.За три …

👍5❤1

26 Apr 2023, 06:38 UTC≈10,200 views6 reactionsread 8 August 2026

#DemDigest d004 Angus, C., Buckley, C., Tilstra, A. M., & Dowd, J. B. (2023). Increases in ‘deaths of despair’ during the COVID-19 pandemic in the United States and the United Kingdom. Public Health, 218, 92–96. https://doi.org/10.1016/j.puhe.2023.02.019 В некоторых уголках наиболее развитого мира на протяжении вот уже двух десятилетий наблюдается стагнация мужской смертности, вызванная в первую очередь ростом сме…

🔥5👍1

23 Apr 2023, 10:27 UTC≈2,710 views7 reactionsread 8 August 2026

#DemDigest b002 Сегодня расскажу вам о том, как журналисты поведали миру о результатах нашей статьи прошлым летом* (ключевая идея связана с идеями, обсуждавшимся в последнем дайджесте, так вот и вспомнилось). Утро выхода статьи началось для нас с письма от Джима Оеппена — "Поздравляю, вы в Guardian. С идиотским заголовком". В статье мы обсуждаем очень любопытный демографический и в то же время тривиальный нюанс: не…

❤6😱1

Showing the 10 most recent of 10 posts we hold for @DemographicDigest. 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 12 September 2026 — this entry's latest reading, not the date you are reading this.

“Demographic Digest” (@DemographicDigest), 319 subscribers as measured 12 September 2026. Telegram Register, tgregister.com/channel/DemographicDigest.

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.