Channel
@elishasphere
On this record: Growth · Engagement · Reactions · Stars · Posts · Citations · Cite this entry
431subscribers
+23 since we began measuring on 9 August 2026
Risers and fallers across the register · movement among entries of Under 1,000.
| Telegram ID | -1002086483750 |
|---|---|
| Type | Channel |
| Username | @elishasphere |
| Created | Between 1 November 2023 and 31 May 2024 — estimated from Telegram’s id allocation, not measured. How this range is calculated. |
| First recorded | 9 August 2026 |
| Last confirmed live | 2 September 2026 |
| Measurements held | 5 |
| Confirmed unchanged | 1 time, most recently 2 September 2026 |
| On Telegram | t.me/elishasphere |
| Measured (UTC) | Subscribers | Change |
|---|---|---|
| 2 Sept 2026, 03:56 | 431 | +7 |
| 25 Aug 2026, 05:28 | 424 | +8 |
| 17 Aug 2026, 13:14 | 416 | +8 |
| 9 Aug 2026, 23:34 | 408 | no change |
| 9 Aug 2026, 09:16 | 408 | first reading |
18 posts held, back to 21 May 2025 — 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 page of Telegram’s post history, 20 posts per page.
Nothing published in the last 30 days. ERR and ER are rolling 30-day measures, so there is nothing to compute — we hold 18 posts for this entry, the most recent from 6 August 2026. An engagement rate over an empty window would be a number about nothing.
253 reactions across 18 posts, in 8 distinct kinds. The most used accounts for 56.5% of them.
| Reaction | Count | Share | Share, drawn |
|---|---|---|---|
| ❤ | 143 | 56.5% | |
| 🐳 | 33 | 13.0% | |
| 🙏 | 30 | 11.9% | |
| 🕊 | 19 | 7.51% | |
| 😇 | 10 | 3.95% | |
| 🫡 | 10 | 3.95% | |
| 🎉 | 7 | 2.77% | |
| ✍ | 1 | 0.395% |
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 18 of the 18 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 253 reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.
Measured over the 18 most recent posts we hold, published 21 May 2025 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 @elishasphere. 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 18 most recent posts we hold for this entry, published 21 May 2025 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.
Быстрый перевод всех 27 подтипов Эннеаграммы от Хайки (хороши валидни автор.) — получился как всегда читабельный, внятный и приятный на слух! 😊 Этим также воспользуюсь напомнить, что за всё время существования канала здесь накопилось неисчислимое множество полезных файлов и материалов на темы Эннеаграммы и Юнга, которые помогут вам как в освоении, так и в углублении и расширении своих знаний об этих типологиях. 🥸
❤16
we lost everything дядюшка Афанасьев.......
❤19
вопрос почему ру. сообщество так любит симплифировать функции ПЙ и сводить какую-нибудь волю отвечающую за самоопределение соц. иерархию отношение к ответственности власти и многое другое к какому-то абстрактному НАМЕРЕНИЮ которым далеко не ограничивается даже woke Латышев... 😵💫 #щитпост #исповедь #разочарование #горе
❤21🙏8🐳5
Кстати, если вам показались несколько... прямолинейным трактовки Юнга у Наранхо, это по праву можно назвать справедливым наблюдением. И именно поэтому новые книги по подтипам гораздо любопытней в данном вопросе — там прослеживается значительно более глубинное понимание материала, чем в первых книгах Наранхо. Но скомпилирую их уже завтра! 😶 ED: Обнаружились проблемы с поиском послесловий (НЕКОТОРЫЕ ИЗ НИХ НЕИРОНИЧНО …
❤18
🖤Официальные корреляции из книг по Эннеаграмме с Юнгианской типологией 1/2 Приветствую!! 😊 Возможно, немногие осведомлены об этом, но Наранхо и его студенты исследовали и проводили прямую связь между своими эннеатипами и различными психологическими теориями — в том числе с системой Юнга, коим мы все повсеместно пользуемся. Следующим вы обнаружите удобное собрание всех их перспектив и обоснования к ним. Первая част…
🐳17❤6🙏6
elisha entertainment™ выкопали секретные архивы файлов Наранхо и нашли потерянные животные аналогии для Е2: В Е2 много кошачьего... только кошка, с ее нежностью и относительной одомашненностью, лучше соответствует 2 самосохранения, в то время как тигр или ягуар кажутся нам более подходящими в отношении опасности и развязанной импульсивности сексуальной 2, а лев (царь зверей) — в отношении поиска значимости социальной…
❤14🎉5🕊3
Ко мне пришла идея очень вкусной рубрики на ближайшие 27 дней... 🥺 с к о р о .
🙏9🐳6❤2
Разумным и здравым людям настоятельно рекомендую сторониться здесь деятелей, целиком посвятивших себя вопросам работы корреляций и доказательствам возможности определённых комбинаций. И... правильно вы услышали! 😏 Казалось бы, что эти личности торжественно противоборствуют нашим затверделым, многим противным предубеждениям в типологическом сообществе и привносят туда разнообразие, равно как и я сам стремлюсь культив…
😇7🫡3❤2✍1
а ещё мои тосты сгорели пока я это писал то ли не стоит подписки и распространения... 🥹🥹
🫡7❤4
Небольшое напоминание, что основным каналом стал @elishatypings..! Там вы ничуть не хуже можете углубить свои знания, ибо я регулярно выкладываю разъяснения типов. 🌟
❤2
Добро пожаловать на канал по типированиям. Мною желается бросить вызов стагнации типологического сообщества! Если вы готовы и открыты к новым перспективам, желаете развить свой аналитический инструментарий и расширить свои знания о типологиях — прошу чувствовать себя как дома! 🪇 🦢 Навигация: ✦ Типологические тэги ✦ Фандомные тэги ✦ Буст при желании ✧ Канал с материалами (рекомендую!1)
❤1
Posted without readable text
❤5
Showing the 12 most recent of 18 posts we hold for @elishasphere. 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.
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 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.
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 2 September 2026 — this entry's latest reading, not the date you are reading this.
“elisha's sphere” (@elishasphere), 431 subscribers as measured 2 September 2026. Telegram Register, tgregister.com/channel/elishasphere.
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.