Education — a classification, not a measurement. An on-box language model (Qwen3.6-35B-A3B-FP8, prompt version 1) read this channel’s own recent posts on 10 September 2026 and assigned it the closest of 31 fixed categories, at 100% confidence. This is a model’s judgement about what the channel is likely to be about, not a fact this register measured the way a subscriber count or a view count is measured — it can be revised on a later pass, and it carries no weight anywhere else on this page. How this classification works, and the other topics.
Growth
61 measurements spanning 96 days, net +165. 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 15,228–15,651 and does not start at zero.
Measurement log — every subscribers count we have recorded, most recent 20 of 61
Measured (UTC)
Subscribers
Change
10 Nov 2026, 13:50
15,529
-7
9 Nov 2026, 01:07
15,536
-4
7 Nov 2026, 18:05
15,540
-6
6 Nov 2026, 17:41
15,546
-11
5 Nov 2026, 19:30
15,557
-3
4 Nov 2026, 20:36
15,560
-10
3 Nov 2026, 19:11
15,570
-4
2 Nov 2026, 17:17
15,574
-9
1 Nov 2026, 16:25
15,583
-11
31 Oct 2026, 13:00
15,594
-5
29 Oct 2026, 12:50
15,599
+19
27 Oct 2026, 15:00
15,580
-3
26 Oct 2026, 16:16
15,583
-5
25 Oct 2026, 19:47
15,588
-1
24 Oct 2026, 20:47
15,589
-7
23 Oct 2026, 17:38
15,596
-4
22 Oct 2026, 18:56
15,600
+4
21 Oct 2026, 15:48
15,596
+11
20 Oct 2026, 13:06
15,585
-7
19 Oct 2026, 15:28
15,592
first reading
Engagement
75 posts held, back to 22 July 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 72 pages of Telegram’s post history, 20 posts per page.
ERR · 30 days
7.25%
avg views ÷ 15,529 subscribers
Avg views / post
1,130
23 posts measured
Reaction rate
2.29%
reactions ÷ views · ER floor
Posts in window
23
of 75 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
Window
Rolling 30 days · latest post in window 10 November 2026
Posts held
75 (22 July 2026 – 10 November 2026)
Views total
25,886
Reactions total
594
Forwards / comments
not exposed by the public surface — not measured, not estimated
Readings taken
11 Nov 2026, 06:47 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.
What this channel posts
Photos
≈2,000
Videos
≈587
Links
≈1,760
Lifetime counters from Telegram’s own channel header, read 11 November 2026 — not the date at the top of this page, which is when the subscriber count was last read. A count marked ≈ was rounded by Telegram before we ever saw it — t.me prints these counters in full below 1,000 and to three significant figures above, so ≈142,000 means somewhere between 141,500 and 142,499.
Video runtime
19s
Average length
19s
Measured directly from 1 video with a duration reading, out of the posts we hold for this channel — not this channel’s whole posting history, only the sample this register has actually read. An exact reading to the second, taken from the post itself rather than from Telegram’s own rounded chrome, so it carries no ≈ mark.
Reaction mix
1,637 reactions across 74 posts, in 25 distinct kinds. The most used accounts for 49.1% of them.
Every reaction kind recorded on the sample, most used first
Reaction
Count
Share
Share, drawn
❤
803
49.1%
🔥
265
16.2%
👍
161
9.84%
❤🔥
91
5.56%
🆒
75
4.58%
🕊
37
2.26%
🙏
31
1.89%
💯
27
1.65%
👏
26
1.59%
🥰
23
1.41%
🦄
14
0.855%
🐳
11
0.672%
😡
11
0.672%
🎉
10
0.611%
🤗
10
0.611%
👌
8
0.489%
😢
7
0.428%
👀
6
0.367%
😍
5
0.305%
😘
5
0.305%
5 further kinds
11
0.672%
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 74 of the 75 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 1,637 reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.
Measured over the 75 most recent posts we hold, published 22 July 2026 to 10 November 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
Telegram’s own ‘edited’ marker: 8 of 23 posts held from the last 30 days (34.8%) carried it when this register last read them. The marker says a post was changed after publishing, not what it said before — this register holds the earlier wording only where an edit fell between two of its own reads (see the edit ledger and how it is measured).
Первое поступление сезона 2027 — ESMOD Paris, бакалавриат по fashion design.
Расскажу в общих чертах, куда мы подаёмся в этом году во Франции и где будет сложнее всего.
В магистратуре основная приходится на Париж, будет Dauphine-PSL, Sciences Po, CELSA, Paris 1 Panthéon-Sorbonne и Paris-Saclay, за пределами Парижа из основных мест — Тулуза и Гренобль. Направления очень разные, от финансов и маркетинга до права, ком…
Про мотивационные и сопроводительные письма в канале уже написано десятки постов — #мотивационное. Поэтому банальности и повторы уже написано в этом сезоне не планирую. Только иногда, если что-то будет интересное. Вот сейчас плюс-минус интересное.
Прислали письмо на проверку (у меня есть проверка любого аппликационного документа и есть написание с нуля также любого документа для подачи). В этом конкретно документе п…
В прошлом посте показывала, как считать шансы на первый курс бакалавриата, сейчас тот же расчёт для магистратуры (раз несколько человек уже спросили в личные сообщения — то мне проще написать пост на всех).
Напомню, что делают прогнозисты (на примере выборов в Конгресс США): соединяют опросы, результаты прошлых выборов и оценки экспертов, много тысяч раз разыгрывают выборы с поправкой на возможную ошибку и смотрят, …
Канал у меня про поступление, а не про политику, но выборы в Конгресс США — отличный пример того, как исход события считают по цифрам и что это самый правильный способ оценки шансов.
Ещё до голосования математические модели прогнозистов назвали самый вероятный исход выборов в Конгресс: у The Economist демократы выигрывали Палату представителей больше чем в 90% симуляций, Decision Desk HQ давал им Сенат с вероятность…
Платные полезные материалы
Напоминаю, что в канале есть специально подготовленные материалы для тех, кто занимается процессом поступления самостоятельно.
🇫🇷 Для поступления во Францию
▪️ Parcoursup с иностранным аттестатом — 2 900 ₽
С российским аттестатом можно поступить не только в государственные университеты через Campus France. Можно поступать через Parcoursup в CPGE (подготовительные классы), BTS, инженерные ш…
При сопровождении, на консультациях родители будущих первокурсников бакалавриата часто просят рейтинг — хотят вуз повыше, остальное потом. Я в ответ каждый раз говорю, что на бакалавриате рейтинг почти ничего не решает, а решают оценки, потому что дальше в сильную магистратуру отбирают по баллам бакалавриата, и студент с 12/20 в Paris-Saclay проиграет студенту с 18/20 из Безансона.
Но у этого правила всё-таки есть и…
Мне всегда интересно смотреть, как поступающие, особенно на 1 курс бакалавриата, выбирают программы. Стараются ориентироваться на какой-нибудь рейтинг, хотя официального национального рейтинга университетов во Франции нет, к тому же для бакалавриата рейтинг практически не важен. Важен результат учёбы, потому что по оценкам licence принимают в магистратуру, а магистратура иностранцу с большой вероятностью понадобится.…
Шансы на поступление в зарубежный вуз
Шансы — это сила вашей заявки в сравнении с заявками других поступающих (вы же не с собой соревнуетесь) и количество мест в том потоке, через который вы подаёте. Хочу показать на конкретном примере. Это будет пример и про шансы и про то, как выбирать программы в магистратуре.
Université Sorbonne Paris Nord (USPN, бывший Paris 13), не топ, но нормальный выбор. Программа Master M…
Таглит — бесплатная поездка в Израиль, как её можно использовать при поступлении
Таглит (Taglit – Birthright Israel) — бесплатная десятидневная образовательная поездка в Израиль для молодёжи с еврейскими корнями. Хочу написать о ней не как о туре, а как о возможности, которую часть поступающих может использовать в заявке.
Коротко об условиях: 18–26 лет (для 27–32 есть отдельные группы), еврейские корни — достаточно…
Помните Александра Вертинского? Звезда эстрады начала прошлого века. Он прожил в Париже почти десять лет, с 1925 года, и потом, уже в Шанхае, писал, что в этом городе «никому не было ровно никакого дела до вашей личной жизни». Я на днях обсуждала с мамой то же самое: Париж — самый ненатужный город из всех, которые я знаю. Он не будет тебя оценивать, осуждать и загонять в рамки. Хочешь — несись сломя голову, работай, …
Пустой раздел «опыт» в CV
В посте про CV я писала, что раздел, для которого у вас ничего нет, в CV просто не добавляем, и выдумывать ничего специально не надо. Отсюда вопрос — возьмут ли в магистратуру без опыта?
Для поступления пустой раздел опыта не приговор, основа заявки — предыдущая учеба, её оценки и язык, комиссия смотрит прежде всего на них. Опыт понадобится позже, смотреть на него будет уже не комиссия, а …
К подборке CV идеально подходят подборки мотивационных писем. Сейчас есть две подборки: общая на 56 мотивационных писем (разные страны Европы, разные уровни поступления — от бакалавриата до PhD) и отдельная подборка мотивационных писем для тех, кто поступает на первый курс именно в университеты Франции.
Это настоящие документы поступивших студентов. Не для копирования, а для понимания формата и содержания таких доку…
❤5🔥5❤🔥2👍2😡1
Showing the 12 most recent of 75 posts we hold for @WindowToFrance. 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.
Posts edited after publishing
@WindowToFrance edited 6 posts after it first published — the same permalink now carries different wording than the one this register originally read, caught because our own crawl held a copy of the earlier text.
An edit is not deception. Typo fixes, price updates and corrections look exactly like this too — this register can tell you the wording changed and when, not why. How this is measured.
First edit seen
20 August 2026
Most recent edit
8 November 2026
Posts recorded as deleted after publishing
We recorded 2 posts on @WindowToFrance as deleted — posts this register held that were missing from the channel’s public page on two separate reads, taken from different network addresses at least an hour apart.
A deletion is not wrongdoing. This register can see that a post it held is no longer on the channel’s public page, and when — not why. Expired ad placements, reposts, rotating links and corrections all look the same. This is a count of recorded detections, not an exact total: it misses deletions we could not see, because only a post we held and later re-read inside the page can be seen to go, and it may include a small number of wrong records. How this is measured.
First seen missing
13 August 2026
Most recent seen missing
29 August 2026
Median time before seen missing
43 hours
Seen missing in the last 30 days
0
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 8 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.
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.
Handles this channel named that no longer answer
Dead references
1
handles named in this channel’s posts, vacant today
Evidenced gone
1
we ourselves saw one of these resolve, at some point
Never seen alive
0
vacant every time we have ever looked
@WindowToFrance 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.
Evidenced gone
We ourselves saw each of these resolve to a real page at some point before it went vacant — a genuine, evidenced change, not an inference from absence.
@lilain_lori named in 1 post, 31 August 2026 – 31 August 2026 · confirmed gone 4 November 2026 (two independent sightings — see how we confirm a dead handle)evidenced
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.
WorldAbroad — стипендии и обучение за границей @worldabroad · 30,086 Telegram ranks this channel #12 of 90 here — alongside 89 others — read 8 September 2026
Стадика — стажировки, стипендии, обучение @studyqa · 157,238 Telegram ranks this channel #26 of 88 here — alongside 87 others — read 12 August 2026
Teplo.study – учеба за границей @teplostudy · 21,863 Telegram ranks this channel #27 of 87 here — alongside 86 others — read 21 September 2026
А как там в Париже?🇫🇷 @marie_paris · 64,072 Telegram ranks this channel #31 of 94 here — alongside 93 others — read 21 August 2026
UniPage — Поступление за границу @unipage_study_abroad · 20,847 Telegram ranks this channel #32 of 80 here — alongside 79 others — read 24 September 2026
Настоящая Франция @mme_perrier · 27,127 Telegram ranks this channel #34 of 97 here — alongside 96 others — read 11 September 2026
РУБЕЖ | Поступление за границу @rubezhstudy · 32,326 Telegram ranks this channel #35 of 87 here — alongside 86 others — read 9 September 2026
No Borders for Women: карьера для женщин @noborders_forwomen · 22,048 Telegram ranks this channel #40 of 95 here — alongside 94 others — read 21 September 2026
Brain Drain @brain_drain_ru · 45,241 Telegram ranks this channel #41 of 93 here — alongside 92 others — read 27 August 2026
EduTraveler | Гранты и стипендии @edu_traveler · 31,295 Telegram ranks this channel #42 of 81 here — alongside 80 others — read 6 September 2026
Ну куда | Стажировки, гранты, стипендии @NUKUDA7 · 20,603 Telegram ranks this channel #56 of 88 here — alongside 87 others — read 28 September 2026
French School TV @frenchschooltv · 50,148 Telegram ranks this channel #58 of 85 here — alongside 84 others — read 2 October 2026
Russian Speaking Jobs @rusukrjobs · 25,896 Telegram ranks this channel #58 of 95 here — alongside 94 others — read 14 September 2026
Goodsurfing @goodsurfing · 19,951 Telegram ranks this channel #61 of 85 here — alongside 84 others — read 28 September 2026
🇫🇷Objectif : DELF • DALF • TCF @Delf_Dalf_TCF_french_lesson · 19,937 Telegram ranks this channel #62 of 83 here — alongside 82 others — read 2 October 2026
Французский язык / Francais @le_francais_french · 43,881 Telegram ranks this channel #63 of 96 here — alongside 95 others — read 28 August 2026
New directions: вакансии и стажировки @newdirections · 49,486 Telegram ranks this channel #63 of 95 here — alongside 94 others — read 27 August 2026
StudyGrants — стажировки| стипендии| летние школы 🌍 @studygrants · 40,605 Telegram ranks this channel #64 of 90 here — alongside 89 others — read 31 August 2026
EDUgrant - стипендии/форумы/стажировки @edugrant_kg · 23,555 Telegram ranks this channel #65 of 87 here — alongside 86 others — read 17 September 2026
Елена Берковская @berkovskaya_elena · 77,146 Telegram ranks this channel #81 of 91 here — alongside 90 others — read 19 August 2026
Открытый Английский @open_eng · 23,567 Telegram ranks this channel #85 of 97 here — alongside 96 others — read 23 September 2026
Актион Образование @action_obrazovanie · 36,557 Telegram ranks this channel #88 of 95 here — alongside 94 others — read 1 September 2026
ЛОВИ ОФФЕР! @freelancefam · 31,924 Telegram ranks this channel #93 of 93 here — alongside 92 others — read 17 September 2026
This channel appears in 23 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 10 November 2026 — this
entry's latest reading, not the date you are reading this.
“Окно во Францию | поступление, учеба, работа, жизнь” (@WindowToFrance), 15,529 subscribers as measured 10 November 2026. Telegram Register, tgregister.com/channel/WindowToFrance.
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.