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 888–891 and does not start at zero.
Measurement log — every subscribers count we have recorded
Measured (UTC)
Subscribers
Change
7 Aug 2026, 09:51
891
+3
6 Aug 2026, 14:50
888
no change
6 Aug 2026, 14:49
888
first reading
Engagement
5 posts held, back to 5 August 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 · 30 days
34.0%
avg views ÷ 891 subscribers
Avg views / post
303
5 posts measured
Reaction rate
2.36%
reactions ÷ views · ER floor
Posts in window
5
of 5 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. It is computed over the 4 of 5 measured posts that carry a reaction reading, and over those same posts' views.
What these figures were computed from
Window
Rolling 30 days · latest post in window 6 August 2026
Posts held
5 (5 August 2026 – 6 August 2026)
Views total
1,514
Reactions total
28
Forwards / comments
not exposed by the public surface — not measured, not estimated
Readings taken
6 Aug 2026, 14:50 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
28 reactions across 4 posts, in 5 distinct kinds. The most used accounts for 50.0% of them.
Every reaction kind recorded on the sample, most used first
Reaction
Count
Share
Share, drawn
❤
14
50.0%
❤🔥
7
25.0%
🔥
3
10.7%
🥰
3
10.7%
🗿
1
3.57%
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 4 of the 5 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 28reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.
Measured over the 5 most recent posts we hold, published 5 August 2026 to 6 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.
💙 Поціновувачі Sonic, аніме та відеоігор, зверніть увагу — на Comic Wave Odesa завітає художниця VictoryRina!
На своєму стенді вона представить авторський мерч, створений за мотивами всесвіту їжака Соніка, а також інших популярних ігор та аніме. ✨
Серед асортименту ви знайдете металеві піни, акрилові брелоки та стікери, виконані у впізнаваному авторському стилі з увагою до найменших деталей.
Кожна робота створена з …
📚 Знайомтеся з Somnia Studio — українським видавництвом авторських мальописів!
На Comic Wave Odesa свою творчість представить команда українських авторів і художників, яка з любов'ю створює власні мальописи та розвиває сучасну українську комікс-культуру. 💙💛
У Somnia Studio кожна історія проходить повний творчий шлях усередині команди — від сценарію та розробки всесвіту до ілюстрацій і фінального оформлення. Саме так…
📖 Знайомтеся з творчим дуетом «Коліно»!
На Comic Wave Odesa свої роботи представить молодий творчий дует, який привезе новий авторський комікс, а також мерч, створений за його мотивами. ✨
Окрім новинок, на стенді можна буде знайти й уже знайомий мерч, що став частиною творчого всесвіту авторів.
💜 Стенд «Коліно» стане чудовою нагодою познайомитися з новим українським коміксом та творчістю його авторів.
🌙 Відкрийте для себе світ Dragon Gardens — місце, де фентезі оживає в ароматах і деталях.
На Comic Wave Odesa завітає бренд авторських свічок і мила, натхненний магічними артефактами, старовинними легендами, чарівними лісами та атмосферою улюблених фентезійних світів. ✨
На стенді ви знайдете:
🕯 містичні свічки;
🌿 авторське ароматичне мило;
🐉 вироби, натхненні драконами, мандрагорою та магічними істотами;
✨ Тематичні…
🧩 Сучасні технології, креативний дизайн і море цікавих деталей — знайомтеся з MUDRE 3D!
На Comic Wave Odesa завітає бренд авторських 3D-іграшок, який поєднує сучасний друк із продуманим дизайном, створюючи вироби, що хочеться розглядати, крутити в руках і повертатися до них знову. ✨
Кожна іграшка створена з увагою до якості та деталей, а їхній незвичайний вигляд дарує приємні емоції, надихає та пробуджує уяву.
✨ На …
🔥3❤1🗿1
Showing the 5 most recent of 5 posts we hold for @comicwaveodesa. 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 — 36,650 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.
Forward network
Republished by
Channels on the register that have forwarded this channel's posts into their own feed.
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 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.
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 7 August 2026 — this
entry's latest reading, not the date you are reading this.
“Comic Wave Odesa” (@comicwaveodesa), 891 subscribers as measured 7 August 2026. Telegram Register, tgregister.com/channel/comicwaveodesa.
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.