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Channel

Цитаты преподавателей

@quotes_teacher

On this record: Topic · Growth · Engagement · What this channel posts · Reactions · Stars · Posts · Posts edited after publishing · Posts recorded as deleted · Citations · Telegram's recommendations · Cite this entry

47,348subscribers

-523 since we began measuring on 6 August 2026

Risers and fallers across the register · movement among entries of 31,623–100,000.

Register entry

Telegram ID-1001284455769
TypeChannel
Username@quotes_teacher
DescriptionВысказывания любимых преподавателей ВУЗов. Владелец: @uralface Прислать цитату: @predlogquotesbot (или кнопка снизу слева в самом канале) мах: https://max.ru/quotes_teacher
Created1 May 2018 — measured — cross-checked against a third-party dataset (ext.tg_channel)
First recorded6 August 2026
Last confirmed live6 November 2026
Measurements held61
Confirmed unchanged1 time, most recently 6 November 2026
On Telegramt.me/quotes_teacher

Topic

Education — a classification, not a measurement. An on-box language model (Qwen3.6-35B-A3B-UD-Q6_K_XL, prompt version 1) read this channel’s own recent posts on 21 August 2026 and assigned it the closest of 31 fixed categories, at 66% 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

47,34847,87147,609.56 August 20266 November 2026
61 measurements spanning 92 days, net -523. 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 47,270–47,949 and does not start at zero.
Measurement log — every subscribers count we have recorded, most recent 20 of 61
Measured (UTC)SubscribersChange
6 Nov 2026, 09:5947,348-11
5 Nov 2026, 12:5947,359-22
4 Nov 2026, 10:1747,381-6
3 Nov 2026, 09:2947,387+4
2 Nov 2026, 11:0947,383-10
1 Nov 2026, 13:1547,393-2
31 Oct 2026, 09:3647,395-11
30 Oct 2026, 09:0647,406-7
29 Oct 2026, 07:4847,413-7
28 Oct 2026, 04:1747,420-27
27 Oct 2026, 05:1047,447-16
26 Oct 2026, 08:4447,463-10
25 Oct 2026, 06:4047,473-6
24 Oct 2026, 04:2847,479-14
23 Oct 2026, 02:0747,493-12
21 Oct 2026, 22:0047,505-6
20 Oct 2026, 19:1747,511-3
19 Oct 2026, 18:1947,514-23
18 Oct 2026, 19:4047,537-29
17 Oct 2026, 22:4647,566first reading

Engagement

211 posts held, back to 25 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 196 pages of Telegram’s post history, 20 posts per page.

ERR · 30 days
21.4%
avg views ÷ 47,348 subscribers
Avg views / post
10,100
66 posts measured
Reaction rate
4.97%
reactions ÷ views · ER floor
Posts in window
66
of 211 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 6 November 2026
Posts held211 (25 July 2026 – 6 November 2026)
Views total667,590
Reactions total33,163
Forwards / commentsnot exposed by the public surface — not measured, not estimated
Readings taken6 Nov 2026, 13:04 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
65
Videos
4
Links
50

Lifetime counters from Telegram’s own channel header, read 6 November 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.

Video runtime
50s
Average length
50s

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

107,632 reactions across 209 posts, in 10 distinct kinds. The most used accounts for 44.3% of them.

Every reaction kind recorded on the sample, most used first
ReactionCountShareShare, drawn
❤47,64444.3%
🤣37,35434.7%
👍6,9916.50%
😢5,6725.27%
👏3,1202.90%
🤨2,5022.32%
🤔1,8571.73%
👎1,1191.04%
🙈1,0801.00%
👌2930.272%

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 211 of the 211 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 108,567 reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.

Measured over the 211 most recent posts we hold, published 25 July 2026 to 6 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.

Telegram Stars

Stars received
14
across the posts below
Posts paid on
8
of 211 we hold a reading for · 4%
Most on one post
4
single highest reading

A paid reaction is a reader spending Telegram Stars — bought with money — on a post by @quotes_teacher. 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 211 most recent posts we hold for this entry, published 25 July 2026 to 6 November 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.

Recent posts

Telegram’s own ‘edited’ marker: 0 of 66 posts held from the last 30 days (0%) 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).

6 Nov 2026, 11:39 UTC≈1,770 views163 reactionsread 6 November 2026

Посчитаешь сколько времени на жизнь остается после работы и прочих дел и в ужас приходишь.. чем я лучше рабов в итоге то? о рабах хотя бы хозяева заботились.. Миронов Д.В. #СПбГУ

❤107😢41🤣11👎3🤨1

6 Nov 2026, 07:29 UTC≈3,530 views329 reactionsread 6 November 2026

Подводники пьют за то, чтобы количество всплытий равнялось количеству погружений. Лётчики пьют за то, чтобы количество приземлений равнялось количеству взлетов… А логики пьют за то, чтобы количество правых скобок равнялось количеству левых! Пшеничный К.А. #ИТМО

👏187🤣93❤36👍12👎1

5 Nov 2026, 16:19 UTC≈5,470 views484 reactionsread 6 November 2026

Рыба моя, ещё раз будешь списывать, так прокляну, что будешь всю жизнь школьным врачом работать. Петров В.А. #МГМУ

❤270🤣162😢45👎5👍2

5 Nov 2026, 11:39 UTC≈6,140 views507 reactionsread 6 November 2026

Как отличить во время операции нерв от сосуда? Ну если это нерв, то ты его так тянешь, тянешь, а он замечательно тянется. А если потянул, и всех вокруг забрызгало кровью - значит это сосуд был... Шишканов А.В. #МГМСУ

❤323🙈90🤣73😢16👍3👎2

5 Nov 2026, 07:29 UTC≈6,150 views398 reactionsread 6 November 2026

Если вам попадется бойфренд, который все время думает, то может быть, это Кант. Бондарев А.П. #МГЛУ

👏204🤣128❤55👍6🤔4👎1

4 Nov 2026, 16:19 UTC≈6,760 views420 reactionsread 6 November 2026

Соответственно, чем больше вы этого острого съели, тем веселее у вас потом будет поход в туалет. Потому что, да, рецепторы на выходе тоже присутствует к острому. Получите такие огненные, незабываемые очищения. Ну, с мятой то же самое, тоже не переваривается. Поэтому можно, конечно, скомпенсировать мятным ликером. Получится как Джорджа Мартина, песня льда и пламени. Гурин Я.В. #РНИМУ

🤣320❤86👍10👎4

4 Nov 2026, 12:40 UTC≈6,960 views609 reactionsread 6 November 2026

П: С помощью аббревиатуры «АФРИКА» вы сможете запомнить 6 самых распространенных языков. А-английский, Ф-французский, Р-русский, И-испанский, К-... С: Калмыцкий? П: Было бы славно, но это китайский. Котельникова А.Н. #КубГУ

❤405🤣186👍16👎2

4 Nov 2026, 07:29 UTC≈6,970 views391 reactionsread 6 November 2026

Когда будете строить свою галактическую империю - не вмешивайтесь в дела планет, управляйте через местные элиты. Браткин Д.А. #СПбГУ

❤291👍48🤣37👏14👎1

3 Nov 2026, 16:20 UTC≈8,060 views571 reactionsread 6 November 2026

Дешевая рабочая сила всегда тормозила технический прогресс. Зачем изобретать электростанцию, если можно нанять 6 тысяч китайцев в шерстяных штанишках кататься с эбонитовой горочки? Розинская Н.А. #МГУ

🤣444❤71👍32👎12🙈9🤔2😢1

3 Nov 2026, 11:39 UTC≈7,330 views353 reactionsread 6 November 2026

Сплошная среда – это когда нет вторников, четвергов, а есть только среда. Аптуков В.Н. #ПГНИУ

❤255🤣81🤨10👍4👏2👎1

3 Nov 2026, 07:29 UTC≈7,400 views459 reactionsread 6 November 2026

Это расписание просто издевательство над бедными студентами. Чирскова И.М. #РГГУ

😢323❤104👏14🤣10👍4🙈3👎1

2 Nov 2026, 16:19 UTC≈9,380 views568 reactionsread 6 November 2026

Не дари девушке цветы — они завянут, от конфет она растолстеет. Подари подшипник, он вечный. Власова С.В. #МАИ

❤355🤣143👍47👏15👎8

Showing the 12 most recent of 211 posts we hold for @quotes_teacher. 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

@quotes_teacher edited 1 post 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
5 November 2026
Most recent edit
5 November 2026

Posts recorded as deleted after publishing

We recorded 12 posts on @quotes_teacher 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
10 August 2026
Most recent seen missing
27 October 2026
Median time before seen missing
28 hours
Seen missing in the last 30 days
6

Forward network

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 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.

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.

Channels Telegram recommends alongside this one

Telegram’s own answer, not this register’s. When this register asks Telegram’s API what is similar to this channel, this is the list it returns, in the exact order Telegram returns it — never re-sorted by subscribers or by anything else this register measures. The relationship, and the order, are Telegram’s; we record them and date them, and make no claim of our own about which of these channels actually resemble this one.

Препод говорит
@prepodsay · 39,017
#1
ВПШ
@pravdadirty · 1,392,471
#2
ЭТО ЗНАК
@etoznakmag · 631,659
#3
FEMALE MEMES
@femalememes · 399,819
#4
Москвач • Новости Москвы
@moscowach · 3,895,472
#5
КК
@petrovtel · 542,485
#6
Новости Москвы
@moscowmap · 2,626,156
#7
crow talks
@tgcrowtalks · 12,122
#8
москоутиндер
@moscowtinderr · 748,859
#9
Екатерина Мизулина
@ekaterina_mizulina · 924,385
#10
Сегодня в Пироговке
@pirogovka_now · 3,830
#11
Labrats
@rlabrats · 16,984
#12
маленькими шажочками к большой мечте🤍
@maaargoooshaaaa · 11,324
#13
margosha
@margoshamedlove · 5,228
#14
Москва Live
@msk_live · 2,388
#15
врач рисующий
@spnullityy · 5,727
#16
milanov
@milaaaaaaaaaaaaaasha · 6,583
#17
365 new days
@evodays · 378,223
#18
персик
@anthonyuly · 232,908
#19
Пездуза
@pezduzalive · 369,175
#20
Любимый ВПШ 😮‍💨
@lyubimyivpsh · 142,178
#21
imleenas
@imleenas · 20,657
#22
менделеев чихнул
@mendeleevchixnul · 2,333
#23
KUSKUS🤍🫂
@alexeevvaammm · 18,870
#24
sofffikka
@sofffikkaaaa · 7,401 (as read 26 August 2026)
#25
MEDFAM 🤍🩺
@medffam · 9,479
#26
Записки юного Вовчика
@medlci13 · 43,650
#27
Студенческие инсайды
@stud_inside · 946
#28
medical_mari
@bbelkinaaaa · 3,459
#29
хим🩵био-рай с мотивилай
@motivilyy · 9,742
#30
Зоопарк из слоновой кости
@ivoryzoo · 32,016
#31
Grand Exam - Арсений Филин
@grandexam_ege · 47,649
#32
polina parve
@parvepolina · 1,910
#33
Первый университетский
@msuthefirst · 29,261
#34
Anatom_expert
@anatom_expert · 14,309
#35
сммщица на приколе 🍒
@smm_naprikole · 2,562
#36
Наука и университеты
@naukauniver · 43,166
#37
Закладки медика 🩺
@medmateriali · 23,776
#38
Neural Machine
@neuralmachine · 48,668
#39
ExpertMed
@smart_fundamed · 9,381
#40
Записки судмедэксперта
@sudmednotes · 166,942
#41
inside hse
@inside_hse · 22,418
#42
Я не понимаю это смешно или уже нет!!
@sashaonline · 86,158
#43
Даша Естьфамилия
@estfamiliyatg · 3,708
#44
Университет | РязГМУ Минздрава России
@rzgmu_ru · 5,485
#45
мемы про студентов
@egearmy1 · 5,616
#46
медик и химик 👩🏼‍🔬🩺
@attraksjonnnnn · 6,976
#47
твиттота
@twitt_ota · 422,050
#48
KOSTI
@kosti · 552,170
#49
STUDY STYLE
@study_style · 1,740
#50
NN
@naebnet · 2,180,138
#51
alexeevvaamm🤍
@alexeevvvaamm · 75,487
#52
гороскоп и кирилл
@goro_kirill · 168,056
#53
aes oquua
@aesoquua · 31,570
#54
rutkismary
@rutkismary · 330,897
#55
Химас-рнимас year 4🦑
@chemm_rsmu · 1,420
#56
Garaeva 🩺
@mmallekaaa · 7,296
#57
Dr. Aндрей
@md_useinov · 5,092
#58
dr nicole 🪷
@doctogram · 4,915
#59
с любовью, Тоня
@withtonchi · 17,372
#60
evkasup
@evkasup13 · 102,089
#61
врач маминой подруги
@raynbuldez · 22,961
#62
ШАСТУН
@shastoonchannel · 230,262
#63
Жизнь обычного Чудища
@yourbeastyslife · 57,470
#64
aysmed💘
@ayssmed · 13,834
#65
gorkesa🤍
@gorkesas · 27,412
#66
МГЮА
@msal_kutafina · 18,856
#67
Мои любимые юморески
@myfavoritejumoreski · 79,337
#68
1 дорожка Мефедрона
@otvetyspbgmu22 · 4,686
#69
Будни медика в Сеченова 🩺
@medik_sechenova · 11,310
#70
Файлы Журавля Дима Журавлёв
@files_zhuravlya · 179,327
#71
Лерчик- студент медик 🩺
@lerchek_med · 2,335
#72
саша теслонд @teslond
@teslond1 · 89,472
#73
2 Дорожка Амфетаминки
@otvetyspbgmu2 · 3,576
#74
Alexandra Posnova
@posnovaalexandra · 200,814
#75
Pozov Live
@pozov · 250,885
#76

Read from Telegram’s recommendation API, most recently 26 August 2026. Telegram holds a list like this for a small and growing share of the register — how this is measured, and why most channel pages show nothing here.

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.

Препод говорит
@prepodsay · 39,017
Telegram ranks this channel #2 of 82 here — alongside 81 others — read 30 August 2026
Записки юного Вовчика
@medlci13 · 43,650
Telegram ranks this channel #28 of 71 here — alongside 70 others — read 28 August 2026
Медицинский блог Сеченова
@medblognomer1 · 24,211
Telegram ranks this channel #45 of 77 here — alongside 76 others — read 16 September 2026
Записки судмедэксперта
@sudmednotes · 166,942
Telegram ranks this channel #56 of 80 here — alongside 79 others — read 12 August 2026
Grand Exam - Арсений Филин
@grandexam_ege · 47,649
Telegram ranks this channel #68 of 82 here — alongside 81 others — read 25 August 2026
РЕШЕТУН | моссудмед
@reshetunalexey · 39,756
Telegram ranks this channel #72 of 81 here — alongside 80 others — read 30 August 2026
Жизнь обычного Чудища
@yourbeastyslife · 57,470
Telegram ranks this channel #73 of 73 here — alongside 72 others — read 24 August 2026
Голова Медузы🪼
@golovameduza · 23,493
Telegram ranks this channel #74 of 80 here — alongside 79 others — read 18 September 2026

This channel appears in 8 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 6 November 2026 — this entry's latest reading, not the date you are reading this.

“Цитаты преподавателей” (@quotes_teacher), 47,348 subscribers as measured 6 November 2026. Telegram Register, tgregister.com/channel/quotes_teacher.

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.