Channel
@FedyasWifey
On this record: Growth · Engagement · Reactions · Posts · Citations · Cite this entry
80subscribers
+0 since we began measuring on 9 August 2026
Risers and fallers across the register · movement among entries of Under 1,000.
| Telegram ID | -1003988744926 |
|---|---|
| Type | Channel |
| Username | @FedyasWifey |
| Created | Between 1 April 2026 and 30 June 2026— estimated from Telegram’s id allocation, not measured. How this range is calculated. |
| First recorded | 9 August 2026 |
| Last confirmed live | 10 August 2026 |
| Measurements held | 2 |
| Confirmed unchanged | 1 time, most recently 10 August 2026 |
| On Telegram | t.me/FedyasWifey |
| Measured (UTC) | Subscribers | Change |
|---|---|---|
| 10 Aug 2026, 18:11 | 80 | no change |
| 9 Aug 2026, 19:46 | 80 | first reading |
14 posts held, back to 30 June 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 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.
| Window | Rolling 30 days · latest post in window 9 August 2026 |
|---|---|
| Posts held | 14 (30 June 2026 – 9 August 2026) |
| Views total | 817 |
| Reactions total | 198 |
| Forwards / comments | not exposed by the public surface — not measured, not estimated |
| Readings taken | 9 Aug 2026, 19:46 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.
327 reactions across 14 posts, in 12 distinct kinds. The most used accounts for 23.9% of them.
| Reaction | Count | Share | Share, drawn |
|---|---|---|---|
| custom 5409161978147019785 | 78 | 23.9% | |
| custom 5440702422672516682 | 51 | 15.6% | |
| custom 5406637228866696593 | 38 | 11.6% | |
| custom 5427041325704834906 | 36 | 11.0% | |
| custom 5271695747337697468 | 33 | 10.1% | |
| custom 5440728772296867715 | 28 | 8.56% | |
| custom 5310056483965117521 | 21 | 6.42% | |
| custom 5407010577488836238 | 21 | 6.42% | |
| custom 5271943339317409191 | 11 | 3.36% | |
| 👀 | 6 | 1.83% | |
| 🌚 | 2 | 0.612% | |
| 🕊 | 2 | 0.612% |
Custom emoji. 9 of the rows above are Telegram custom emoji, which the public preview renders as an element carrying only a numeric id — no character, and no image we can reach. The id is printed as-is rather than substituted with a look-alike glyph, because a stand-in would be our invention showing where a measurement should be. The counts beside them areTelegram’s.
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 14 of the 14 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 327reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.
Measured over the 14 most recent posts we hold, published 30 June 2026 to 9 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.
Я вспомнила, что давно не хвасталась мерчом. К слову, первый значок я искала около года, а того и больше. И ещё небольшой подгон от Карухару🥺
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☁️☁️☁️☁️🤩cr: @galaxyUFO Очень сладкие Достофимки🕊🥺 Фан факт: когда Фёдор сгрызает все ногти и уже ничего не остается, он принимается выщипывать Серафиме перья, чтобы занять руки
custom 52716957473376974686custom 54091619781470197854custom 54270413257048349064custom 54407024226725166823custom 54066372288666965932custom 53100564839651175211custom 54070105774888362381custom 54407287722968677151
☁️☁️☁️☁️☁️🤩@jacedepp Очень милая кмм с Достофимами🕊🥺 Фан факт: Серафима и Фёдор страдают очевидным ПТСР из-за долгих жизней, поэтому они оба друг друга специально триггерят чем-то просто потому что думают, что это норма🥺
custom 54091619781470197857custom 54270413257048349067custom 54407024226725166825custom 52716957473376974682custom 52719433393174091912custom 54066372288666965932custom 54070105774888362382custom 54407287722968677152
Лор серафииочки🕊🥺
custom 54091619781470197854custom 54270413257048349063custom 54407024226725166822
☁️☁️🤩: @beetlesterrarium ᥴᥱρᥲⲫυⲙᥲ ⲇ. ⲏᥲᥴⲧ𐔖яպᥱᥱ υⲙя: 𐔖ⲧᥴ𐔤ⲧᥴⲧⲃ𐔤ᥱⲧ 𝘛𝘞: ⲿᥱᥴⲧ𐔖ⲕ𐔖ᥴⲧь • ᥒᥱρⲃыᥱ ɥᥱⲧыρᥱ цυⲕ᥈ᥲ ρᥲⳅⲃυⲧυя ᥴᥒ𐔖ᥴ𐔖ⳝⲏ𐔖ᥴⲧᥱύ Цикл первый. Серафима изначально была простой девочкой из бедной семьи. Уже в 5-7 лет она была обязана быть покорной и тихой домохозяйкой. Шанс найти мужа был низок, хотя хоть кто-то по соседству да отдал бы своего сына за нее, что и вышло. Уже в 14 она рожала первого ребенка, но по несчастью дл…
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☁️☁️☁️☁️Cr: @copiertrash Немного о Серафиме🥺 Серафима практически во всех предметах видит жизнь. По её мнению: "все, что создано Богом имеет жизнь". Поэтому, она практически постоянно жалеет плюшевые игрушки, фотографии, книги, даже люстры и лампы. Один раз она расплакалась из-за ушанки Фёдора потому, что голова у него грязная, а ушанка "беленькая и невинная"
custom 540916197814701978510custom 54066372288666965938custom 54070105774888362387custom 54407287722968677153custom 52716957473376974682custom 52719433393174091912custom 53100564839651175212custom 54270413257048349062
БУКВАЛЬНО КАНОН девушка Чуи нарисовала очень милый Артик. Сука я в таком восторге, я не могу, это очень мило🥺🥺🥺
custom 540916197814701978513custom 52716957473376974688custom 54270413257048349066custom 54070105774888362384custom 54407024226725166823custom 52719433393174091912custom 53100564839651175212custom 54407287722968677152
ⳅᥲⲏяⲧыᥱ ⲙⲏ𐔖ύ юⳅᥱρⲏᥱύⲙы. 🐁 ⲃ ⲇᥲ᥈ьⲏᥱύɯᥱⲙ ⳝ𐔤ⲇ𐔤ⲧ ᥒ𐔖ᥒ𐔖᥈ⲏяⲧьᥴя. ⲏᥲ ⲇᥲⲏⲏыύ ⲙ𐔖ⲙᥱⲏⲧ ⲃᥴᥱ𐔏𐔖 69 юⳅᥲ, ⲏ𐔖 ⲃ ᥴᥒυᥴⲕᥱ 𐔖ⲧᥴ𐔤ⲧᥴⲧⲃ𐔤ᥱⲧ 4 юⳅᥲ, ⲕ𐔖ⲧ𐔖ρыᥱ я ᥒ𐔖ⲕᥲⳅᥲⲧь ⲏᥱ ⲙ𐔖𐔏𐔤 ᥒ𐔖 ⲕ𐔖ᥱ-ⲕᥲⲕυⲙ ᥒρυɥυⲏᥲⲙ @FyodorDostoevskysGirlfriend @fyodoronlymy @Dostoevskyssoulmate @FyodorsRat @FyodorDKisser @Dostoevskymybeloved @fedyaswife @Dostoevskyhugger @lovedbyFyodor @Dostoevskyssimp @Dostoevskyswifey @DostoevskysAngel @FyodorsSweetheart @Dostoevskyspartner @…
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Повод задуматься
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♡ . . . Фёдор задался и вопросом . . . кто же всё-таки его Любимая крыска ? . . . ➪ это же . . . @Dostoevskysdoll ! ( 10489 гс ) #rules ; @hottest_irl
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♡ . . . Фёдор задался вопросом . . . кто же всё-таки его Пациент ? . . . ➪ это же . . . @Dostoevskysdoll ! ( 443 гс ) #rules ; @hottest_irl
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♡ . . . Фёдор задался вопросом . . . кто же всё-таки его Ангел ? . . . ➪ это же . . . @Dostoevskysdoll ! ( 550 гс ) #rules ; @hottest_irl
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Showing the 12 most recent of 14 posts we hold for @FedyasWifey. 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 — 28,525 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.
Republishes
Channels on the register whose posts this channel has forwarded.
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.
Named by 50 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. The 24 listed below are the most frequent namers; the rest are counted above but not each listed.
Named by
Channels on the register whose posts name this channel's handle.
Names
Channels on the register whose handles appear in this channel's posts.
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.
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 10 August 2026 — this entry's latest reading, not the date you are reading this.
“♪#𝑺𝒆𝒓𝒂𝒑𝒉𝒊𝒎𝒂 𝑫|-: 🪽:-・．” (@FedyasWifey), 80 subscribers as measured 10 August 2026. Telegram Register, tgregister.com/channel/FedyasWifey.
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.