Telegram RegisterThe public register of Telegram
Telegram profile photo for ENROLIT | Образование и учёба в Италии | Стипендии

Channel

ENROLIT | Образование и учёба в Италии | Стипендии

@enrolit

On this record: Growth · Engagement · Reactions · Posts · Citations · Telegram's recommendations · Cite this entry

7,912subscribers

+239 since we began measuring on 7 August 2026

Risers and fallers across the register · movement among entries of 3,162–10,000.

Register entry

Telegram ID-1001807014073
TypeChannel
Username@enrolit
CreatedBetween 1 October 2022 and 30 September 2023 — estimated from Telegram’s id allocation, not measured. How this range is calculated.
First recorded7 August 2026
Last confirmed live3 September 2026
Measurements held9
Confirmed unchanged1 time, most recently 3 September 2026
On Telegramt.me/enrolit

Growth

7,6737,9127,792.57 August 2026 — 7,673 subscribers7 August 2026 — 7,673 subscribers10 August 2026 — 7,680 subscribers13 August 2026 — 7,677 subscribers20 August 2026 — 7,719 subscribers24 August 2026 — 7,737 subscribers28 August 2026 — 7,755 subscribers30 August 2026 — 7,754 subscribers3 September 2026 — 7,912 subscribers7 August 20263 September 2026
9 measurements spanning 27 days, net +239. 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 7,637–7,948 and does not start at zero.
Measurement log — every subscribers count we have recorded
Measured (UTC)SubscribersChange
3 Sept 2026, 10:557,912+158
30 Aug 2026, 19:177,754-1
28 Aug 2026, 00:427,755+18
24 Aug 2026, 15:557,737+18
20 Aug 2026, 17:357,719+42
13 Aug 2026, 14:177,677-3
10 Aug 2026, 23:027,680+7
7 Aug 2026, 19:177,673no change
7 Aug 2026, 19:057,673first reading

Engagement

10 posts held, back to 29 July 2026the reader has not yet reached the start of this channel’s public history, so older posts may sit further back, unread. Read across 17 pages of Telegram’s post history, 20 posts per page.

ERR · 30 days
12.3%
avg views ÷ 7,912 subscribers
Avg views / post
971
6 posts measured
Reaction rate
2.45%
reactions ÷ views · ER floor
Posts in window
6
of 10 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.

What these figures were computed from
WindowRolling 30 days · latest post in window 20 August 2026
Posts held10 (29 July 202620 August 2026)
Views total5,827
Reactions total143
Forwards / commentsnot exposed by the public surface — not measured, not estimated
Readings taken28 Aug 2026, 21:55 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

232 reactions across 10 posts, in 11 distinct kinds. The most used accounts for 50.4% of them.

Every reaction kind recorded on the sample, most used first
ReactionCountShareShare, drawn
11750.4%
🔥4921.1%
👍2812.1%
❤‍🔥73.02%
🍾62.59%
🎉62.59%
💅62.59%
🙏52.16%
💯41.72%
20.862%
💋20.862%

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 10 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 232 reactions 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 29 July 2026 to 20 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.

Recent posts

20 Aug 2026, 12:59 UTC847 views23 reactionsread 28 August 2026
Photo

Codice Fiscale — одна из первых вещей, о которой стоит позаботиться при переезде в Италию 🇮🇹 Без него сложно решить даже базовые вопросы: открыть счёт в банке, подписать договор аренды, оформить страховку, зарегистрироваться в университете, получить льготы и даже купить SIM-карту. Получить Codice Fiscale можно двумя способами: через университет, если вуз предоставляет такую возможность, или самостоятельно в Agenzia

13👍5🔥32

19 Aug 2026, 10:43 UTC849 views20 reactionsread 28 August 2026
Photo

НАШИ ВИЗЫ 2026 🇮🇹 Продолжаем делиться отличными новостями: ещё несколько студентов ENROLIT получили учебные визы! 🎉🥳 Поздравляем ребят! Теперь впереди самое приятное — паковать чемоданы и готовиться к переезду и учёбе в Италии ✈️ #enrolit_визы

9👍4🍾3🔥3❤‍🔥1

16 Aug 2026, 09:04 UTC≈1,090 views22 reactionsread 28 August 2026
Photo

💛💛💛💛💛💛💛💛 Всем прекрасного воскресенья! ⭐️ Мы знаем, как вы любите эту рубрику, поэтому сегодня хотим пообщаться с вами в вашем любимом формате «вопрос-ответ» 🔥 Будем разбираться в тонкостях учебы, жизни и поступления в Италию вместе! Оставляйте ваши вопросы в комментариях под этим постом ⬇️ #enrolit_qa

12🔥5🙏5

12 Aug 2026, 12:42 UTC≈1,290 views28 reactionsread 28 August 2026
Photo

НАШИ ВИЗЫ 2026 ГОДА У нас отличные новости! Ребята с полного сопровождения команды ENROLIT начинают получать свои студенческие визы 🎉🥳 Время паковать чемоданы и активно готовиться к переезду на учебу в солнечную Италию 🇮🇹 #enrolit_визы

22🔥4👍2

11 Aug 2026, 17:38 UTC871 views26 reactionsread 20 August 2026
Forwarded from @mzhannaya_pdFile

карты и финтехи, которые нужны вам прямо сейчас, чтобы не везти наличку на год вперед🎙️ 🆘 за последний год мы потеряли много (дорогих нашему сердцу) ЮП и белорусских карт ввиду того, что они попали под санкции ЕС и больше ими расплачиваться не получается, а лазейка с переводами с т-банка на немецкий вивид и французскую сумерию работает уже давно не как швейцарские часы. и что в итоге делать? вопрос хороший, получа

🔥12❤‍🔥6💅6💋2

10 Aug 2026, 11:05 UTC880 views24 reactionsread 20 August 2026
Photo

ИСТОРИЯ КЛИЕНТА: ДАРЬЯ В этой серии карточек делимся историей Дарьи, нашей клиентки с пакета «Полное сопровождение», которая поступила в Sapienza University of Rome на бакалавриат Scienze della Moda e del Costume. Это кейс про поступление, где с самого начала была очень понятная мечта: Италия, итальянский язык, мода, культура, Рим и программа, которая соединяет fashion-индустрию не только с одеждой, но и с искусств

16💯4🔥4

7 Aug 2026, 07:45 UTC957 views25 reactionsread 12 August 2026
Photo

А вы точно знаете, как на самом деле учатся в Италии? 🇮🇹 Кажется, что после сотни рилсов про итальянские университеты вас уже ничем не удивить. Но на практике даже те, кто готовится к поступлению не первый месяц, часто ошибаются в довольно базовых вещах. Проверим? 👀 Мы собрали небольшой квиз из вопросов про учебу в Италии. Сначала выберите свой вариант ответа на карточке — и только потом смотрите правильный. И об

15👍4🍾3🔥3

4 Aug 2026, 14:40 UTC780 views31 reactionsread 10 August 2026
Photo

Всем привет! 💛 Вдохновляем вас на новые свершения офферами от наших клиентов на полном сопровождении, курсе и с дополнительных услуг! ⭐️ #enrolit_поступили

14🔥7🎉6👍4

2 Aug 2026, 09:01 UTC940 views14 reactionsread 10 August 2026
Photo

💛💛💛💛💛💛💛💛 Всем прекрасного воскресенья! ⭐️ Мы знаем, как вы любите эту рубрику, поэтому сегодня хотим пообщаться с вами в вашем любимом формате «вопрос-ответ» 🔥 Будем разбираться в тонкостях учебы, жизни и поступления в Италию вместе! Оставляйте ваши вопросы в комментариях под этим постом ⬇️ #enrolit_qa

11🔥3

29 Jul 2026, 11:48 UTC≈1,260 views19 reactionsread 10 August 2026
Photo

🇮🇹 Студенческая виза в Италию 2026 ⬆️начало выше⬆️ А если вы только планируете поступление в Италию и пока не знаете, какие программы подходят именно вам, какие документы предстоит готовить и насколько реалистичен ваш кейс, записывайтесь на бесплатную консультацию ENROLIT. На консультации мы разберем вашу ситуацию, оценим шансы на поступление и стипендию, построим стратегию и расскажем, как пройти весь путь, от вы

👍95🔥5

Showing the 10 most recent of 10 posts we hold for @enrolit. 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.

Forward network

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.

Mentions

Named by 1 registered channel — 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.

Appears in Telegram’s recommendations for other channels

The reverse of the list above, and a different kind of signal. This does not require this channel to have ever been asked about directly — each row below is a channel we DID ask Telegram about, whose Telegram-generated list happened to include this one. A channel can appear here with an empty list above it, because being named by someone else’s query is independent of having been queried itself.

Итальянский язык с Magnitalia. Практика с итальянцами. Онлайн и вживую в Италии.
@magnitalia_ru · 34,812
Telegram ranks this channel #39 of 91 here — alongside 90 others — read 3 September 2026
Итальянский язык / Italiano
@italiano_russo · 38,170
Telegram ranks this channel #41 of 91 here — alongside 90 others — read 31 August 2026
🇦🇹 Образование в Австрии | edu-vienna.com
@eduvienna · 40,096
Telegram ranks this channel #47 of 83 here — alongside 82 others — read 30 August 2026
EduTraveler | Гранты и стипендии
@edu_traveler · 30,848
Telegram ranks this channel #71 of 81 here — alongside 80 others — read 6 September 2026

This channel appears in 4 seed channels' Telegram-generated recommendation lists in total. Each is Telegram’s list for THAT channel, not this one — see how this is measured.

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 3 September 2026 — this entry's latest reading, not the date you are reading this.

“ENROLIT | Образование и учёба в Италии | Стипендии” (@enrolit), 7,912 subscribers as measured 3 September 2026. Telegram Register, tgregister.com/channel/enrolit.

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.