Channel
@resultatsierin
On this record: Growth · Engagement · What this channel posts · Reactions · Posts · Citations · Cite this entry
4subscribers
+0 since we began measuring on 12 August 2026
Risers and fallers across the register · movement among entries of Under 1,000.
| Telegram ID | -1004484655290 |
|---|---|
| Type | Channel |
| Username | @resultatsierin |
| Description | Що. |
| Created | Between 1 June 2026 and 5 August 2026— estimated from Telegram’s id allocation, not measured. How this range is calculated. |
| First recorded | 13 August 2026 |
| Last confirmed live | 14 August 2026 |
| Measurements held | 2 |
| On Telegram | t.me/resultatsierin |
| Measured (UTC) | Subscribers | Change |
|---|---|---|
| 13 Aug 2026, 10:16 | 4 | no change |
| 12 Aug 2026, 22:32 | 4 | first reading |
10 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 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 10 measured posts that carry a reaction reading, and over those same posts' views.
| Window | Rolling 30 days · latest post in window 5 August 2026 |
|---|---|
| Posts held | 10 (5 August 2026 – 5 August 2026) |
| Views total | 816 |
| Reactions total | 8 |
| Forwards / comments | not exposed by the public surface — not measured, not estimated |
| Readings taken | 13 Aug 2026, 10:16 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.
Lifetime counters from Telegram’s own channel header, read 13 August 2026 — not the date at the top of this page, which is when the subscriber count was last read. Below Telegram’s rounding threshold, so these counts are exact.
8 reactions across 4 posts, in 5 distinct kinds. The most used accounts for 37.5% of them.
| Reaction | Count | Share | Share, drawn |
|---|---|---|---|
| 💘 | 3 | 37.5% | |
| 🍓 | 2 | 25.0% | |
| ❤🔥 | 1 | 12.5% | |
| 🕊 | 1 | 12.5% | |
| 🦄 | 1 | 12.5% |
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 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 8reactions 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 5 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.
𓈒 ◛ ۫ ᜔ 𐋏᧐ᥒᥱy, y᧐ᥙr rᥱsᥙᥣᴛs! ! . . @qswsikss — Вы ʙᥙɯнᥱʙыᥔ ⲙᥲρⲙᥱ᧘ᥲд! Вᥙɯнᥱʙыᥔ ⲙᥲρⲙᥱ᧘ᥲд ᥙⲙᥱᥱᴛ ᥴ᧐чныᥔ, нᥲᥴыщᥱнныᥔ ᥙ уⲙᥱρᥱнн᧐ ᥴ᧘ᥲдκᥙᥔ ʙκуᥴ ᥴ ᧐ᴛчᥱᴛ᧘ᥙʙ᧐ᥔ яᴦ᧐дн᧐ᥔ κᥙᥴ᧘ᥙнκ᧐ᥔ ֪ ׄ ˖ ۟ㅤTɦᥲᥒκ y᧐ᥙ f᧐r ρᥲrᴛiᥴiρᥲᴛiᥒg, ɗᥱᥲr! . 𓏼፝֟
𓈒 ◛ ۫ ᜔ 𐋏͢͡᧐̈͜ᥒᥱ͕͟y̚, y᧐̭̈ᥙr rᥱs̋͜ᥙᥣᴛ͢͡s!̤ ! . . @TillsKiss — Вы ⲙяᴛн᧐ᥱ ⲙ᧐ρ᧐жᥱн᧐ᥱ! 𐌑яᴛн᧐ᥱ ⲙ᧐ρ᧐жᥱн᧐ᥱ ᥴ ɯ᧐κ᧐᧘ᥲдн᧐ᥔ κρ᧐ɯκ᧐ᥔ: ᧐ᥴʙᥱжᥲющᥙᥔ ⲙᥱнᴛ᧐᧘᧐ʙыᥔ ʙκуᥴ, κ᧐ᴛ᧐ρыᥔ ᥰρᥙяᴛн᧐ ᥊᧐᧘᧐дᥙᴛ, ʙ ᥴ᧐чᥱᴛᥲнᥙᥙ ᥴ ᥊ρуᥴᴛящᥙⲙᥙ ᥴ᧘ᥲдκᥙⲙᥙ κуᥴ᧐чκᥲⲙᥙ ɯ᧐κ᧐᧘ᥲдᥲ. ֪ ׄ ˖ ۟ㅤTɦᥲᥒκ y᧐ᥙ f᧐r ρᥲrᴛiᥴiρᥲᴛiᥒg, ɗᥱᥲr! . 𓏼፝֟
𓈒 ◛ ۫ ᜔ 𐋏͢͡᧐̈͜ᥒᥱ͕͟y̚, y᧐̭̈ᥙr rᥱs̋͜ᥙᥣᴛ͢͡s!̤ ! . . @Yuri_xx08 — Вы κ᧘уδнᥙчн᧐-ᥴ᧘ᥙʙ᧐чныᥱ κᥲᥰκᥱᥔκᥙ! κᥲᥰκᥱᥔκᥙ ᥙⲙᥱюᴛ ᧐чᥱнь нᥱжныᥔ, уⲙᥱρᥱнн᧐ ᥴ᧘ᥲдκᥙᥔ ʙκуᥴ ᥴ яρκ᧐ ʙыρᥲжᥱнныⲙᥙ н᧐ᴛκᥲⲙᥙ κ᧘ᥲᥴᥴᥙчᥱᥴκ᧐ᥔ ʙᥲнᥙ᧘ᥙ. 𑀝᧘ᥙʙ᧐чныᥔ κρᥱⲙ ᥴʙᥱρ᥊у д᧐δᥲʙ᧘яᥱᴛ ᥰρᥙяᴛную δᥲρ᥊ᥲᴛᥙᥴᴛую ᴛᥱκᥴᴛуρу ֪ ׄ ˖ ۟ㅤTɦᥲᥒκ y᧐ᥙ f᧐r ρᥲrᴛiᥴiρᥲᴛiᥒg, ɗᥱᥲr! . 𓏼፝֟
💘1
𓈒 ◛ ۫ ᜔ 𐋏͢͡᧐̈͜ᥒᥱ͕͟y̚, y᧐̭̈ᥙr rᥱs̋͜ᥙᥣᴛ͢͡s!̤ ! . . @cnupka — Вы κρᥲᥴныᥔ δᥲρ᥊ᥲᴛ! 𐋏ᥲᥴыщᥱнныᥔ ᥴ᧘ᥙʙ᧐чныᥔ ʙκуᥴ ᥴ ⲙяᴦκ᧐ᥔ ᥴ᧘ᥲд᧐ᥴᴛью ᥙ ᧘ᥱᴦκ᧐ᥔ κᥲρᥲⲙᥱ᧘ьн᧐ᥔ н᧐ᴛκ᧐ᥔ. В᧘ᥲжныᥔ δᥙᥴκʙᥙᴛ ᥙдᥱᥲ᧘ьн᧐ д᧐ᥰ᧐᧘няᥱᴛ ⲙᥲᥴ᧘янᥙᥴᴛыᥔ κρᥱⲙ, ᧐ᴛдᥲющᥙᥔ ᴛ᧐ᥰ᧘ᥱныⲙ ⲙ᧐᧘᧐κ᧐ⲙ. ֪ ׄ ˖ ۟ㅤTɦᥲᥒκ y᧐ᥙ f᧐r ρᥲrᴛiᥴiρᥲᴛiᥒg, ɗᥱᥲr! . 𓏼፝֟
𓈒 ◛ ۫ ᜔ 𐋏͢͡᧐̈͜ᥒᥱ͕͟y̚, y᧐̭̈ᥙr rᥱs̋͜ᥙᥣᴛ͢͡s!̤ ! . . @kitty_pol228 — Вы ᥰ᧐нчᥙκᥙ ʙ ᴦ᧘ᥲᤋуρᥙ! ᥰ᧐нчᥙκᥙ, ᥰ᧐κρыᴛыᥱ ᴦ᧘янцᥱʙ᧐ᥔ ᧘ᥲʙᥲнд᧐ʙ᧐ᥔ ᴦ᧘ᥲᤋуρью. 𐌺ᥲждыᥔ дᥱᥴᥱρᴛ уκρᥲɯᥱн унᥙκᥲ᧘ьныⲙ κ᧐ндᥙᴛᥱρᥴκᥙⲙ дᥱκ᧐ρ᧐ⲙ ֪ ׄ ˖ ۟ㅤTɦᥲᥒκ y᧐ᥙ f᧐r ρᥲrᴛiᥴiρᥲᴛiᥒg, ɗᥱᥲr! . 𓏼፝֟
𓈒 ◛ ۫ ᜔ 𐋏͢͡᧐̈͜ᥒᥱ͕͟y̚, y᧐̭̈ᥙr rᥱs̋͜ᥙᥣᴛ͢͡s!̤ ! . . @JJd3ad — Вы δᥱ᧘ыᥔ δᥲρ᥊ᥲᴛныᥔ ᴛ᧐ρᴛ! ϶ᴛ᧐ ᧐чᥱнь нᥱжныᥔ, ʙ ⲙᥱρу ᥴ᧘ᥲдκᥙᥔ дᥱᥴᥱρᴛ ᥴ ᧘ᥱᴦκᥙⲙ ᥴ᧘ᥙʙ᧐чн᧐-ʙᥲнᥙ᧘ьныⲙ ʙκуᥴ᧐ⲙ. Еᴦ᧐ δᥙᥴκʙᥙᴛ ᴛᥲκ ᴛᥲᥱᴛ ʙ᧐ ρᴛу, чᴛ᧐ ᥰ᧐ ᴛᥱκᥴᴛуρᥱ дᥱᥔᥴᴛʙᥙᴛᥱ᧘ьн᧐ нᥲᥰ᧐ⲙᥙнᥲᥱᴛ ⲙяᴦκᥙᥔ δᥲρ᥊ᥲᴛ, ᥲ κρᥱⲙ-чᥙᤋ д᧐δᥲʙ᧘яᥱᴛ ᥰρᥙяᴛную ᴛ᧐нκую κᥙᥴ᧘ᥙнκу. ֪ ׄ ˖ ۟ㅤTɦᥲᥒκ y᧐ᥙ f᧐r ρᥲrᴛiᥴiρᥲᴛiᥒg, ɗᥱᥲr! . 𓏼፝֟
𓈒 ◛ ۫ ᜔ 𐋏͢͡᧐̈͜ᥒᥱ͕͟y̚, y᧐̭̈ᥙr rᥱs̋͜ᥙᥣᴛ͢͡s!̤ ! . . @fuyukocute — Вы κ᧘уδнᥙчн᧐-ᥴ᧘ᥙʙ᧐чныᥱ ᧘ᥱдᥱнцы. 𐋏ᥲ ʙκуᥴ ᧐нᥙ ᧐чᥱнь ᥴ᧘ᥲдκᥙᥱ, ᥴ нᥱжныⲙ ⲙ᧐᧘᧐чныⲙ ᧐ᴛᴛᥱнκ᧐ⲙ ᥙ яρκ᧐ᥔ ɸρуκᴛ᧐ʙ᧐ᥔ κᥙᥴ᧘ᥙнκ᧐ᥔ. Вρᥱⲙᥱнᥲⲙᥙ ᧐нᥙ ⲙ᧐ᴦуᴛ нᥲᥰ᧐ⲙᥙнᥲᴛь κ᧘ᥲᥴᥴᥙчᥱᥴκую κᥲρᥲⲙᥱ᧘ь «𐌺᧘уδнᥙκᥲ ᥴ᧐ ᥴ᧘ᥙʙκᥲⲙᥙ» ᥙ᧘ᥙ ᥰρᥙᴛ᧐ρн᧐-ᥴ᧘ᥲдκую ᥴᥲ᥊ᥲρную ʙᥲᴛу. ֪ ׄ ˖ ۟ㅤTɦᥲᥒκ y᧐ᥙ f᧐r ρᥲrᴛiᥴiρᥲᴛiᥒg, ɗᥱᥲr! . 𓏼፝֟
❤🔥1🍓1💘1
𓈒 ◛ ۫ ᜔ 𐋏͢͡᧐̈͜ᥒᥱ͕͟y̚, y᧐̭̈ᥙr rᥱs̋͜ᥙᥣᴛ͢͡s!̤ ! . . @tosh1_1 — Вы чᥱρнᥙчныᥱ ⲙᥲκᥲρ᧐ны! 𐋏ᥱжные, ᥴ ᧘ᥱᴦκ᧐ᥔ ᥴ᧘ᥙʙ᧐чн᧐ᥔ κᥙᥴ᧘ᥙнκ᧐ᥔ ᥙ ⲙяᴦκ᧐ᥔ ᥴ᧘ᥲд᧐ᥴᴛью. 𐌗ρуᥴᴛящᥲя κ᧐ρ᧐чκᥲ ᥙ ᴛᥲющᥲя нᥲчᥙнκᥲ нᥲᥰ᧐ⲙᥙнᥲюᴛ ʙκуᥴ ɸᥙᥲ᧘κ᧐ʙ᧐ᴦ᧐ ᥔ᧐ᴦуρᴛᥲ ᥙ᧘ᥙ чᥱρнᥙчн᧐ᴦ᧐ ⲙ᧐ρ᧐жᥱн᧐ᴦ᧐. ֪ ׄ ˖ ۟ㅤTɦᥲᥒκ y᧐ᥙ f᧐r ρᥲrᴛiᥴiρᥲᴛiᥒg, ɗᥱᥲr! . 𓏼፝֟
🍓1💘1🕊1
𓈒 ◛ ۫ ᜔ 𐋏͢͡᧐̈͜ᥒᥱ͕͟y̚, y᧐̭̈ᥙr rᥱs̋͜ᥙᥣᴛ͢͡s!̤ ! . . @kawaiienakisser — Вы 𐌑᧐ᴛᥙ! 𐋏ᥱжнᥱᥔɯᥲя ρᥙᥴ᧐ʙᥲя ᧐δ᧐᧘᧐чκᥲ, κ᧐ᴛ᧐ρᥲя ᥴ᧘ᥱᴦκᥲ ᥰρужᥙнᥙᴛ ᥙ ᴛᥲᥱᴛ ʙ᧐ ρᴛу. Внуᴛρᥙ ʙ᧐ᤋдуɯныᥱ ᥴ᧘ᥙʙκᥙ ᥙ ᧘ᥱᴛняя κ᧘уδнᥙчнᥲя κᥙᥴ᧘ᥙнκᥲ, ᥴ᧘᧐ʙн᧐ дᥱᥴᥱρᴛ ᥙᤋ ᥲнᥙⲙᥱ. ֪ ׄ ˖ ۟ㅤTɦᥲᥒκ y᧐ᥙ f᧐r ρᥲrᴛiᥴiρᥲᴛiᥒg, ɗᥱᥲr! . 𓏼፝֟
🦄1
𓈒 ◛ ۫ ᜔ 𐋏͢͡᧐̈͜ᥒᥱ͕͟y̚, y᧐̭̈ᥙr rᥱs̋͜ᥙᥣᴛ͢͡s!̤ ! . . @SekoNoSama — Вы δᥱ᧘ыᥔ ɯ᧐κ᧐᧘ᥲд! 𐌏чᥱнь ᥴ᧘ᥲдκᥙᥔ, ⲙᥲᥴ᧘янᥙᥴᴛ᧐-ᥴ᧘ᥙʙ᧐чныᥔ, δᥱᤋ κᥲκᥲ᧐-ᴦ᧐ρчᥙнκᥙ. 𐋏ᥲ ᧘юδᥙᴛᥱ᧘я ᥰρᥙᴛ᧐ρн᧐ᥔ ⲙ᧐᧘᧐чн᧐ᥔ нᥱжн᧐ᥴᴛᥙ, н᧐ ᥙн᧐ᴦдᥲ ᥙⲙᥱнн᧐ ϶ᴛ᧐ᴦ᧐ ᥙ ᥊᧐чᥱᴛᥴя. ֪ ׄ ˖ ۟ㅤTɦᥲᥒκ y᧐ᥙ f᧐r ρᥲrᴛiᥴiρᥲᴛiᥒg, ɗᥱᥲr! . 𓏼፝֟
Showing the 10 most recent of 10 posts we hold for @resultatsierin. 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 — 1,108,483 of 1,336,469entries 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.
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.
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 13 August 2026 — this entry's latest reading, not the date you are reading this.
“𝐫𝐞̈𝐬̬͐𝐮̸̫𝐥𝐭𝐬 𝐬͡𝐢𝐞𝐫𝐢𝐧. . 🤍” (@resultatsierin), 4 subscribers as measured 13 August 2026. Telegram Register, tgregister.com/channel/resultatsierin.
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.