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Channel

greencityhouse на связи

@readingchronicles

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

11,230subscribers

-14 since we began measuring on 7 August 2026

Risers and fallers across the register · movement among entries of 10,000–31,623.

Register entry

Telegram ID-1001542452406
TypeChannel
Username@readingchronicles
CreatedBetween 1 August 2021 and 28 February 2023— estimated from Telegram’s id allocation, not measured. How this range is calculated.
First recorded7 August 2026
Last confirmed live15 August 2026
Measurements held9
Confirmed unchanged1 time, most recently 15 August 2026
On Telegramt.me/readingchronicles

Growth

11,21811,24411,2317 August 2026 — 11,244 subscribers7 August 2026 — 11,236 subscribers8 August 2026 — 11,235 subscribers9 August 2026 — 11,230 subscribers11 August 2026 — 11,227 subscribers12 August 2026 — 11,224 subscribers12 August 2026 — 11,226 subscribers14 August 2026 — 11,218 subscribers15 August 2026 — 11,230 subscribers11,2307 August 202615 August 2026
9 measurements spanning 8 days, net -14. 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 11,214–11,248 and does not start at zero.
Measurement log — every subscribers count we have recorded
Measured (UTC)SubscribersChange
15 Aug 2026, 17:1511,230+12
14 Aug 2026, 04:4811,218-8
12 Aug 2026, 21:1811,226+2
12 Aug 2026, 00:3211,224-3
11 Aug 2026, 00:1511,227-3
9 Aug 2026, 23:3211,230-5
8 Aug 2026, 20:0711,235-1
7 Aug 2026, 20:1511,236-8
7 Aug 2026, 05:4511,244first reading

Engagement

10 posts held, back to 5 August 2026the reader has not yet reached the start of this channel’s public history, so older posts may sit further back, unread. Read across 18 pagesof Telegram’s post history, 20 posts per page.

ERR · 30 days
17.2%
avg views ÷ 11,230 subscribers
Avg views / post
1,930
10 posts measured
Reaction rate
4.33%
reactions ÷ views · ER floor
Posts in window
10
of 10 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 15 August 2026
Posts held10 (5 August 202615 August 2026)
Views total19,319
Reactions total836
Forwards / commentsnot exposed by the public surface — not measured, not estimated
Readings taken15 Aug 2026, 16:07 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

836 reactions across 10 posts, in 11 distinct kinds. The most used accounts for 38.3% of them.

Every reaction kind recorded on the sample, most used first
ReactionCountShareShare, drawn
😍32038.3%
26231.3%
🔥14617.5%
👍465.50%
212.51%
🕊161.91%
101.20%
💯91.08%
🥰40.478%
💅10.12%
😱10.12%

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 10 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 836reactions 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 5 August 2026 to 15 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.

Recent posts

15 Aug 2026, 06:03 UTC999 views58 reactionsread 15 August 2026
Photo

выгуляла новый наряд в кинотеатр на Одиссею 🏹 я в восторге от качества и кроя костюма за 1600 рублей 🤌🏻 я брала размер S, переживала что будет критично короткая юбка, но нет, на рост 170 мини, но достаточно носибельно за счёт формы и кроя про фильм - это было три часа невероятного удовольствия от просмотра, чтобы в конце я собирала себя по кусочкам от монолога Одиссея

45🔥9🕊2🥰2

13 Aug 2026, 12:53 UTC≈1,590 views29 reactionsread 15 August 2026
Photo

несу вам ссылки на красивое для дома и промокод на Яндекс Маркет 🔖 мыльница настольная лампа смеситель в ретро стиле очень эффектный подсвечник подушка декоративная подсвечник а теперь приятное - если вы давно ничего не покупали на Яндекс Маркете, у вас на главной странице с понедельника будут появляться промокоды на покупку на разные категории товаров общей выгодой до 17000₽ ❗️промокоды появляются на один день, и

19🔥82

10 Aug 2026, 10:51 UTC≈2,490 views73 reactionsread 15 August 2026
Photo

🎞️ давно не было сериальных рекомендаций - исправляюсь посмотрели свежий сериал «Мыс страха» - продюсерами которого выступили Скорсезе и Спилберг эмоциональное напряжение гарантировано - у нас на глазах жизнь крепкой семьи с красивым домом превращается в ад, у зрителя от серии к серии все больше вопросов и отношение к героям меняется просто вот так 📈📉 актерский состав пушка, снято эффектно, в копилку к отличным пс

38🔥1910👍4💯1😍1

8 Aug 2026, 07:43 UTC≈2,500 views109 reactionsread 15 August 2026
Photo

одна маленькая деталь, а как приятно стало 🫰🏻 давно тут хотела заменить ручки на окнах с пластиковых на красивые металлические (чёрные не стала ставить, притягивало бы внимание сразу, а мне тут этого не хотелось)

😍66👍1913🔥53🥰2😱1

7 Aug 2026, 13:10 UTC≈2,480 views70 reactionsread 15 August 2026
Photo

Расскажу подробнее про мое обучение Я немного касалась истории искусств когда училась в художке. Но мне ребёнку это было совсем не интересно. Мне хотелось рисовать, а не копаться в истории, видеть параллели и смыслы. Спустя 20 лет все с точностью наоборот - я не хочу рисовать, но хочу видеть, знать и понимать. Курс «Как стать искусствоведом» - это флагманский курс Синхронизации. Он рассчитан на 10 месяцев обучения

41🔥20👍4😍32

7 Aug 2026, 08:06 UTC≈2,090 views195 reactionsread 15 August 2026
Photo

кажется эксперименты со стилем выходят на новый уровень 🧚🏻 корсет и юбка

😍110🔥667🕊65💅1

5 Aug 2026, 14:35 UTC≈2,210 views72 reactionsread 13 August 2026
Photo

🔗 ссылки на авито: 1. салфетница лебедь 2. фарфоровая конфетница СССР 3. дорогой лебедь из Германии 4. хрустальный лебедь 5. этих малышей делает мастерица 6. металлическая пара подсвечников 7. фарфоровая ваза из Испании 8. конфетница из Португалии 📌 и маленькое напоминание: если хотите чтобы подобные товары вам авито подкидывал сам, сохраняйте все в избранное, так вы настраиваете свою ленту поиска

😍46197

5 Aug 2026, 12:09 UTC≈1,680 views81 reactionsread 8 August 2026
Photo

или как держатель для книг на стеллаже:

😍49🔥19💯84🕊1

5 Aug 2026, 12:07 UTC≈1,610 views62 reactionsread 8 August 2026
Photo

а я буду использовать или как подсвечник:

😍3818🕊4👍2

5 Aug 2026, 11:48 UTC≈1,670 views87 reactionsread 8 August 2026
Photo

все началось конечно с пинтереста - он мне подкинул сначала одну картинку, потом другую и я поймала себя на мысли что я листаю и не могу остановиться и какие они там только не встречаются - и маленькие и большие, и назначение может быть самое не предсказуемое типа подставка под чайные пакетики или ушные палочки! но конечно это в первую очередь эстетика, очень мне близкая и я делюсь ею с вами🦢 сделать подборку таких

60👍17😍7🕊3

Showing the 10 most recent of 10 posts we hold for @readingchronicles. 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

Citation-graph rank — 218,796 of 1,481,217entries 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

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 1 registered channel — 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.

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 15 August 2026 — this entry's latest reading, not the date you are reading this.

“greencityhouse на связи” (@readingchronicles), 11,230 subscribers as measured 15 August 2026. Telegram Register, tgregister.com/channel/readingchronicles.

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.