Channel
@KirasResidence
On this record: Growth · Engagement · Reactions · Stars · Posts · Citations · Handles named that no longer answer · Cite this entry
982subscribers
+92 since we began measuring on 6 August 2026
Risers and fallers across the register · movement among entries of Under 1,000.
| Telegram ID | -1003496306924 |
|---|---|
| Type | Channel |
| Username | @KirasResidence |
| Created | Between 1 November 2025 and 31 March 2026— estimated from Telegram’s id allocation, not measured. How this range is calculated. |
| First recorded | 6 August 2026 |
| Last confirmed live | 14 August 2026 |
| Measurements held | 4 |
| Confirmed unchanged | 1 time, most recently 14 August 2026 |
| On Telegram | t.me/KirasResidence |
| Measured (UTC) | Subscribers | Change |
|---|---|---|
| 14 Aug 2026, 00:46 | 982 | +87 |
| 6 Aug 2026, 18:27 | 895 | +5 |
| 6 Aug 2026, 14:19 | 890 | no change |
| 6 Aug 2026, 12:02 | 890 | first reading |
19 posts held, back to 3 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 14 of 19 measured posts that carry a reaction reading, and over those same posts' views.
| Window | Rolling 30 days · latest post in window 6 August 2026 |
|---|---|
| Posts held | 19 (3 August 2026 – 6 August 2026) |
| Views total | 4,091 |
| Reactions total | 171 |
| Forwards / comments | not exposed by the public surface — not measured, not estimated |
| Readings taken | 6 Aug 2026, 14:19 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.
171 reactions across 14 posts, in 1 kind.
| Reaction | Count | Share | Share, drawn |
|---|---|---|---|
| 👀 | 171 | 100.0% |
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 19 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 171reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.
Measured over the 19 most recent posts we hold, published 3 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.
A paid reaction is a reader spending Telegram Stars — bought with money — on a post by @KirasResidence. Telegram publishes the count on the public post preview alongside ordinary reactions, and this register reads it there. It is the only figure on this site that measures money moving rather than attention.
Stars are not reactions, and the two are never added. They are rendered in the same strip on Telegram and counted in the same shape, but one is a tap and the other is a purchase. The reaction totals and the engagement rate elsewhere on this page exclude every figure in this section, and no rate here is computed against a reaction count.
This is not revenue, and we publish no currency figure. What a Star costs a reader and what it pays a channel are different numbers, Telegram takes a share we cannot observe, and the terms have changed. Converting a Star count into money would be an estimate dressed as a measurement, so the count is where we stop.
Counted over the 19 most recent posts we hold for this entry, published 3 August 2026 to 6 August 2026. Star counts above 1,000 reach us in Telegram’s short form and carry the same three-significant-figure rounding as everything else on this page.
Из Анонимки: А может ли быть такое, что комбинация тех или иных функций в пй создаёт впечатление, какой-то третьей? Как, например, 1э2л может создавать впечатление 2э, или *вставьте аспект*+3в=*вставьте аспект, но на третьей позиции* грубо говоря И как в таком случае найти различия самостоятельно и понять, какой вообще пй тип у человека Одна из самых частых причин мистайпов в психософии - это так называемые маски фун…
👀11
Signed Кира
🌟🌟🌟🌟🌟🌟🌟 typology ✨✨✨✨✨✨✨✨✨✨ ✦Нужно найти аудиторию в тгк по т๑йпам?? ★Нужно продвинуть свой контент по тпл?? ✦Сложно типироваться?? ★Не можете найти хорошие книги по тпл?? ✦Ищите тгк-дневник с вашим тайпом??২ ✨ʍы ʙᴀʍ ᴨᴏʍᴏжᴇʍ, ʙᴇ∂ь ʍы: ✨ᴨᴩᴏ∂ʙυᴦᴀᴇʍ ʙᴀɯᴇ ᴛʙᴏᴩɥᴇᴄᴛʙᴏ ✨ᴨᴏʍᴏᴦᴀᴇʍ ʙᴀʍ ʜᴀύᴛυ ʙᴀɯ ᴛυᴨ ✨ᴇᴄᴛь ɓυɓᴧυᴏᴛᴇᴋᴀ ᴋʜυᴦ୫ ✨✨✨✨✨✨✨✨✨ —ʒαύτυ κ ʜαɱ!!— 🌟✨DNI | ВП | АДМИНЫ✨ 🌟БОТ | >> навигация << | чат ▭▭ 𔓕 …
Signed ꒰ა 𝓵𝔂𝓪𝓶𝓪𝓷 ♡ ྀི ୧
🪦🎀🤩🤩𝖾𝗅𝖼𝗈𝗆𝖾 𝗍𝗈 𝗍𝗁𝕖🤩🌟 🌟 𝕖𝗇𝗇𝐞𝐠𝗋𝖺𝗆𝗆 𝖽𝖾𝐬𝐢𝗀𝗇𝗌 𝐜𝐟🌟🌟 🎀🎀🎀🎀🎀🎀🎀🎀🎀🎀 🤩😻🔤ут ты м𝕠жешь . . 4⃣ п𝕠делиться с𝕠бственным дизайн𝕠м эннеаграммы п𝕠казать св𝕠й арт к𝕠т𝕠рый ты нарис𝕠вал смешать их и п𝕠казать св𝕠й тритип 🔤 мн𝕠го чег𝕠 друг𝕠г𝕠 ! 🥩🥩 🎀🎀🎀🎀🎀🎀🎀🎀🎀🎀
Signed ꒰ა 𝓵𝔂𝓪𝓶𝓪𝓷 ♡ ྀི ୧
ׁ 🤩 🤩 𝐒𝐯𝐢𝐧𝐨 𝐭𝐲𝐩𝐢𝐧𝐠𝐬 🤩🥹 🤩🤩🤩💻 🤩𝖧𝖺𝗏𝖾 𝗒𝗈𝗎 𝖾𝗏𝖾𝗋 𝗐𝖺𝗇𝗍𝖾𝖽 𝗍𝗈 𝗄𝗇𝗈𝗐 𝗐𝗁𝖺𝗍 𝗒𝗈𝗎𝗋 𝖿𝖺𝗏𝗈𝗎𝗋𝗂𝗍𝖾 𝖼𝗁𝖺𝗋𝖺𝖼𝗍𝖾𝗋’𝗌 𝖾𝗇𝗇𝖾𝖺 𝗂𝗌? 🥹🥹 𝖳𝗁𝖾𝗇 𝖼𝗈𝗆𝖾 𝗍𝗈 𝗎𝗌! 🤩🤩 👩🎓🥹𝖶𝖾’𝗋𝖾 𝗍𝗒𝗉𝗂𝗇𝗀 𝗂𝗇𝗍𝖾𝗋𝖾𝗌𝗍𝗂𝗇𝗀 𝖼𝗁𝖺𝗋𝖺𝖼𝗍𝖾𝗋𝗌 𝖿𝗈𝗋 𝗎𝗌. 𝖶𝖾 𝗈𝗇𝗅𝗒 𝖼𝖺𝗋𝗋𝗒 𝗈𝗎𝗋 𝗈𝗐𝗇 𝗏𝗂𝗌𝗂𝗈𝗇 𝗈𝖿 𝗍𝗁𝖾 𝖼𝗁𝖺𝗋𝖺𝖼𝗍𝖾𝗋. 𝖮𝗎𝗋 𝗈𝗉𝗂𝗇𝗂𝗈𝗇 𝗆𝖺𝗒 𝖻𝖾 𝗐𝗋𝗈𝗇𝗀/𝖽𝗂𝖿𝖿𝖾𝗋𝖾𝗇𝗍 𝖿𝗋𝗈𝗆 𝗒𝗈𝗎𝗋𝗌🤩‼️ 🥹🤩 𝐍𝐚𝐯𝐢𝐠𝐚𝐭𝐢𝐨𝐧 🤩 🤩 🤩 𝖬𝗉 🤩 𝖠𝖽𝗆𝗂𝗇𝗌 🤩 𝖧𝖺𝗌𝗁𝗍𝖺𝗀𝗌. 🤩
Signed ꒰ა 𝓵𝔂𝓪𝓶𝓪𝓷 ♡ ྀི ୧
❌𝗁𝖾𝗐𝗐𝗈 ! 𝗐𝖾𝗅𝖼𝗈𝗆𝖾 𝗍𝗈 𝒽𝗂𝗒𝗎𝗋𝖺𝗇 𝗍𝗒𝗉𝗂𝗇𝗀𝗌 канал , где мы тайпим персонажей по соционике && эннеа && психософии ♡ hiyumi 🤩 ℴ𝓌𝓃 🤩🤩ransan 🤩 𝒶𝒹𝓂 🤩 mpr . tags 𓏵 requests
Signed ꒰ა 𝓵𝔂𝓪𝓶𝓪𝓷 ♡ ྀི ୧
пост для вп/рекл хочешь найти интересные факты про психиатрию, но негде? ищешь информацию про типологии, но всё непонятно? тогда ты по адресу ! ⭐⭐⭐⭐⭐⭐⭐⭐ ⭐⭐⭐⭐⭐ 🦴привет! мы - лиса и леона, пишем в своём тгк про: типологии; психологию; психиатрию; расстройства личности и т.д. почему именно мы? - мы подробно изучаем вышеперечисленные темы по книгам проверенных авторов несколько лет - также на протяжении нескольких лет в…
Signed ꒰ა 𝓵𝔂𝓪𝓶𝓪𝓷 ♡ ྀི ୧
Photo, posted without a caption
👀5
Signed Кира
Я там состою в судебной коллегии😁
👀17
Signed Кира
🥹🤩СМЕРТЕЛЬНЫЕ ДЕБАТЫ: ТПКМ🤩🥹 ✍️ конкурс, где вы можете доказать, что вы ЛУЧШИЙ дебатер в тпкм 🖇️🏆 ПРИЗЫ 1 место — Тг премиум + символический подарок в тг + рассылка в тпкф боте + второй пакет рекламы в тпкф 2 место — 250 зв + первый пакет рекламы в тпкф 3 место — 100 зв + реклама в айворитп, алко и хст (закреп+топ день) 4 место — 50 зв 5 место — 25 зв 🪪РЕГИСТРАЦИЯ: 05.08-16.08 🥹🥹ПРАВИЛА УЧАСТИЯ И ВСЯ ИНФОРМАЦИЯ ТУ
👀9
Signed Кира
Из Анонимки: А можно подробнее об отличиях 2л и 4л и их нестандартных проявлениях? Как сказал один знакомый, типированный Архетипом в ИЛИ ЭФВЛ, "если ты не стремишься заниматься научной деятельностью, ты 4л". Насколько обязательно для 2л жадно поглощать информацию по всем областям науки? Я полтора года считаю себя 2л, и у меня в голове постоянно идет то, что я считаю процессом по логике. И то, что проявляется у меня …
👀19
Signed Кира
Из Анонимки: что значит процесс по эмоции(в частности у второй)? в плане как этот процесс проявляется и как осознаётся Не уверена в том, что ответ отправился + сделала текст читабельнее Процессионными являются и Вторая, и Третья Эмоция. Поэтому обеим позициям интересны чувства, их оттенки, внутренние переживания и так далее. Разница в том, как человек проживает этот процесс Для Второй Эмоции чувства - это постоянно м…
👀15
Signed Кира
Заключение Сразу видно, что общим является постоянное рассмотрение разных вариантов и нежелание сводить что-то к одному единственному объяснению. Во всех ответах участники твердят, что у любого явления может быть несколько сторон. Смысл жизни у каждого свой, человек может по-разному воспринимать одну и ту же ситуацию, идея может оказаться плохой с одной точки зрения и полезной с другой. В ответах нет попытки быстро п…
👀21
Signed Кира
Showing the 12 most recent of 19 posts we hold for @KirasResidence. 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.
Stars beside a post are paid reactions — Telegram Stars, bought with money and spent on that post. They are a different unit from reactions and are never added to them, here or anywhere else on this page.
Citation-graph rank — 66,794 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.
Republished by
Channels on the register that have forwarded this channel's posts into their own feed.
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 5 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.
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.
@KirasResidence named 1 handle that resolve to nothing today. That is a fact about the reference, not necessarily a fact about the handle’s history — see the two groups below.
Most of these may never have existed as a live channel at all.A handle a channel names can be a typo, an aspirational name nobody registered, or a channel that was already gone before this one ever mentioned it. Unless a row below is marked evidenced, all we know is that it references a handle that is not a live channel today — not that anything “died”. How this is measured.
References a handle that is not a live channel — we have no record it ever was one.
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 14 August 2026 — this entry's latest reading, not the date you are reading this.
“Резиденция Киры” (@KirasResidence), 982 subscribers as measured 14 August 2026. Telegram Register, tgregister.com/channel/KirasResidence.
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.