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Channel

Читаємо разом 📚Марина Ніцель

@maris_reading

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

1,564subscribers

+3 since we began measuring on 7 August 2026

Risers and fallers across the register · movement among entries of 1,000–3,162.

Register entry

Telegram ID-1002200931869
TypeChannel
Username@maris_reading
CreatedBetween 1 June 2024 and 30 September 2024— estimated from Telegram’s id allocation, not measured. How this range is calculated.
First recorded7 August 2026
Last confirmed live14 August 2026
Measurements held3
Confirmed unchanged3 times, most recently 14 August 2026
On Telegramt.me/maris_reading

Growth

1,5611,5641,562.57 Aug 2026, 16:59 — 1,561 subscribers7 Aug 2026, 21:31 — 1,561 subscribers8 Aug 2026, 11:38 — 1,564 subscribers7 Aug 2026, 16:598 Aug 2026, 11:38
3 measurements taken within a single day, net +3. 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 1,561–1,564 and does not start at zero.
Measurement log — every subscribers count we have recorded
Measured (UTC)SubscribersChange
8 Aug 2026, 11:381,564+3
7 Aug 2026, 21:311,561no change
7 Aug 2026, 16:591,561first reading

Engagement

11 posts held, back to 9 June 2026the 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 · 30 days
34.3%
avg views ÷ 1,564 subscribers
Avg views / post
537
3 posts measured
Reaction rate
6.21%
reactions ÷ views · ER floor
Posts in window
3
of 11 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 19 July 2026
Posts held11 (9 June 202619 July 2026)
Views total1,611
Reactions total100
Forwards / commentsnot exposed by the public surface — not measured, not estimated
Readings taken7 Aug 2026, 21:31 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

454 reactions across 10 posts, in 9 distinct kinds. The most used accounts for 51.3% of them.

Every reaction kind recorded on the sample, most used first
ReactionCountShareShare, drawn
23351.3%
💔11324.9%
😍5512.1%
❤‍🔥4610.1%
🔥20.441%
🥰20.441%
10.22%
👍10.22%
💘10.22%

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 11 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 454reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.

Measured over the 11 most recent posts we hold, published 9 June 2026 to 19 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.

Recent posts

19 Jul 2026, 17:22 UTC574 views10 reactionsread 7 August 2026

ви знаєте, що робити 🙏🏻 підтримайте видавництво ❤️‍🩹

10

19 Jul 2026, 17:22 UTC379 views43 reactionsread 7 August 2026
Forwarded from @knygolovePhoto

Сьогодні вночі, 19 липня, внаслідок чергової терористичної атаки росії було знищено склад видавництва #книголав Найголовніше для нас — ніхто з наших колег не постраждав! Водночас ми втратили майже 250 тисяч книжок. Це результат праці авторів, перекладачів, редакторів, дизайнерів, друкарень і всієї команди, яка щодня працює для українського читача. росія вкотре доводить, що веде війну не лише проти людей, а й проти

💔349

18 Jul 2026, 19:20 UTC658 views47 reactionsread 7 August 2026
Forwarded from @kuzminasaysPhoto

Картонки письменницькі: моя, Тані Гуд, Марини Ніцель і Маші Маргуліс. Сир усім малювала.

43❤‍🔥4

9 Jul 2026, 19:44 UTC≈1,140 views62 reactionsread 7 August 2026
Photo

дописала розділ, тепер можна розслабитися 😌 таке кайфове 🤌🏻

55❤‍🔥61

7 Jul 2026, 15:38 UTC≈1,040 views68 reactionsread 7 August 2026
Photo

стає темніше і темніше 🖤 трохи естетики «Пантеону», який зараз пишу #темнийспадок

😍5311❤‍🔥2👍1💘1

6 Jul 2026, 07:21 UTC≈1,090 views83 reactionsread 7 August 2026
Photo

слів нема. такі жахливі ніч та ранок 💔 сподіваюся, ви і ваші близькі в порядку. оце сьогодні вибігала з дому в одній футболці, зате з Йоко і ноутом 🙌🏻 бережу рукописи як можу. але до укриття нам зась, бо Йоко там кричить, ніби її ріжуть, і лякає дітей та собак 😭

💔794

18 Jun 2026, 12:57 UTC802 views11 reactionsread 7 August 2026

які фото 😍❤️‍🔥 я так хочу відзняти якусь тематичну зйомку до ТС, але все ніяк не організуюся 🥲

7❤‍🔥3🥰1

18 Jun 2026, 12:57 UTC≈1,150 views31 reactionsread 7 August 2026
Forwarded from @vanminut7272827Photo

Якщо ви любите історії, у яких українські легенди оживають, на болотах дійсно болото, а за кожною таємницею ховається ще більша загадка, то «Темний спадок. Братство» точно заслуговує на увагу🤌🏻 І мушу сказати, що для дебютної книги це справді дуже впевнений старт). Найбільше мене зачарувала атмосфера Карпат. Тут гори, ліси та старі легенди не просто створюють красиве тло для подій, а стають важливою частиною самої і

❤‍🔥236😍2

11 Jun 2026, 17:41 UTC≈1,120 views41 reactionsread 7 August 2026
Photo

раптом хтось тут випадково, то будемо знайомі — Марина Ніцель, авторка відьомського фентезі «Темний спадок» та книжкова блогерка. На каналі часом відгуки на прочитане, рефлексії та письменницькі апдейти. #темнийспадок тут можна дивитися всю інформацію по трилогії «темний спадок» #хижак про мій трилер «В очах хижака» #дещозелене про болючій рукопис, що рухається супер повільно і я не знаю, чи вийде з нього щось взаг

34❤‍🔥4🔥2🥰1

9 Jun 2026, 11:34 UTC930 views58 reactionsread 7 August 2026
Photo

вперше за довгий час оце відчуваю якесь стабільне натхнення писати, але життя — як завжди 😐 зараз приймаю ліки просто з абсолютно жахливими побочками, від яких мені перманентно сумно. Але, здається, організм уже адаптується. Плюс я це торік проходила — воно того варте. Ще краще було б бути собі за замовчуванням здоровою й безпроблемною, але то вже важкий люкс 🤷🏻‍♀️ з позитивного: зараз працюю вже над другими правк

54❤‍🔥4

Showing the 11 most recent of 11 posts we hold for @maris_reading. 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.

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.

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

“Читаємо разом 📚Марина Ніцель” (@maris_reading), 1,564 subscribers as measured 8 August 2026. Telegram Register, tgregister.com/channel/maris_reading.

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.