Общество жизненно тогда, когда у него сильный исте́блишмент. 📚 Анатолий Валюженич, "Неоконсервативная мысль в США"

Channel
Словарный запас | Саморазвитие
@slovar_psikhologia
On this record: Topic · Growth · Engagement · Advertising · Posts · Posts recorded as deleted · Citations · Telegram's recommendations · Cite this entry
82,990subscribers
-749 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 | -1001117288790 |
|---|---|
| Type | Channel |
| Username | @slovar_psikhologia |
| Created | 12 December 2018 — measured — cross-checked against a third-party dataset (ext.tg_channel) |
| First recorded | 6 August 2026 |
| Last confirmed live | 8 November 2026 |
| Measurements held | 62 |
| Confirmed unchanged | 1 time, most recently 8 November 2026 |
| On Telegram | t.me/slovar_psikhologia |
Topic
Literature — 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 20 August 2026 and assigned it the closest of 31 fixed categories, at 63% 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
| Measured (UTC) | Subscribers | Change |
|---|---|---|
| 8 Nov 2026, 12:57 | 82,990 | -15 |
| 6 Nov 2026, 08:50 | 83,005 | -4 |
| 5 Nov 2026, 10:36 | 83,009 | +10 |
| 4 Nov 2026, 07:26 | 82,999 | -24 |
| 3 Nov 2026, 05:20 | 83,023 | -18 |
| 2 Nov 2026, 06:45 | 83,041 | -32 |
| 1 Nov 2026, 07:29 | 83,073 | -26 |
| 31 Oct 2026, 07:48 | 83,099 | -5 |
| 30 Oct 2026, 07:47 | 83,104 | -14 |
| 29 Oct 2026, 10:59 | 83,118 | -17 |
| 28 Oct 2026, 07:18 | 83,135 | -30 |
| 27 Oct 2026, 04:36 | 83,165 | -36 |
| 26 Oct 2026, 01:18 | 83,201 | -27 |
| 25 Oct 2026, 03:16 | 83,228 | -20 |
| 24 Oct 2026, 06:06 | 83,248 | +7 |
| 23 Oct 2026, 09:30 | 83,241 | -9 |
| 22 Oct 2026, 07:41 | 83,250 | -15 |
| 20 Oct 2026, 22:59 | 83,265 | +8 |
| 19 Oct 2026, 20:00 | 83,257 | +5 |
| 18 Oct 2026, 16:55 | 83,252 | first reading |
Engagement
118 posts held, back to 17 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 191 pages of Telegram’s post history, 20 posts per page.
- ERR · 30 days
- 4.49%
- avg views ÷ 82,990 subscribers
- Avg views / post
- 3,730
- 32 posts measured
- Reaction rate
- —
- this channel exposes no reaction counts
- Posts in window
- 32
- of 118 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.
| Window | Rolling 30 days · latest post in window 8 November 2026 |
|---|---|
| Posts held | 118 (17 July 2026 – 8 November 2026) |
| Views total | 119,338 |
| Reactions total | — |
| Forwards / comments | not exposed by the public surface — not measured, not estimated |
| Readings taken | 8 Nov 2026, 07:06 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.
Advertising
- Ad load
- 0.847%
- 1 of 118 posts carry an ad marker
- Regulatory tokens
- 1
- posts carrying an erid · 1 distinct token
- Median views · ads
- 2,120
- over 1 measured post
- Median views · rest
- 4,660
- over 117 measured posts
An ad marker, not a judgement about a post. A post is counted here because it carries one of two explicit markings: an erid token, which Russian law has required on paid placements since 2022 and which is issued against a specific advertising contract, or a #реклама / #ad hashtag in the body, which is the channel declaring it itself. The first is documentary; the second is a self-declaration and is weaker. No classifier reads the text and decides — nothing on this site guesses that a post is an advertisement.
This is a floor, and it can only ever be a floor. A channel that runs paid placements without marking them produces no marker for us to count, and an unmarked ad is indistinguishable from an ordinary post on the public surface. The ad load above therefore means “the share of posts that declared themselves”, never “the share of posts that were paid for”. A low figure is not evidence of a channel that runs few ads.
Both figures are medians, and no ratio between them is published. Each is a view reading that actually occurred on a post, picked by percentile_disc rather than averaged, so one viral post cannot move it and no interpolated value is invented between two readings. The sample on one side is under five posts, which is too thin to compare. The two figures are shown side by side with the count behind each, and deliberately not divided into a headline like “ads get x% fewer views” — an arithmetic that is easy to print and, at this sample size, means nothing.
| erid | Posts | First seen | Last seen |
|---|---|---|---|
| CQH36pWzJqE1dR7FpBr7tdFJDAFtBg1juFMPTdFkMi1ZYc | 1 | 6 November 2026 | 6 November 2026 |
A token repeated across several posts is one advertising contract placed more than once, which is what the identifier is for. The strings are reproduced exactly as they appeared in the post or in its click-through URL and are not validated against any registry — we record the marker a channel published, and whether it resolves to a real contract is a question for the register that issued it.
Measured over the 118 most recent posts we hold, published 17 July 2026 to 8 November 2026. Views are the latest single reading held for each post, and any reading at or above 1,000 is rounded by Telegram to three significant figures.
Recent posts
Telegram’s own ‘edited’ marker: 0 of 32 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).
По ним я делал, нечто похожее на бо́лдеринг, разминался и выползал прямо под стены скал. 📚 Геннадий Копытов, «Зависание»
Пост наркома по железнодорожным делам временно остался вака́нтным. 📚 Юрий Терещенко, "История России XX века"
Карьерный стереотип — представление о том, какая профессия «подходит» человеку по внешности, характеру или прошлому опыту. 📚 Иногда достаточно одного взгляда, чтобы решить, кем человек работает. И так же быстро ошибиться. В сериале «Седьмой игрок», например, фигурист неожиданно становится директором хоккейной команды — совсем не тот карьерный поворот, которого от него ждут. Угадайте профессии людей по фотографиям и…
…человеческие отношения предполагают эмпа́тию, понимание уникальной ситуации одного человека другим. 📚 Светлана Климова, «Персонификация или солидарность»
Гроте́ск в декорациях, костюмах и постановках доведен до чрезвычайной, иногда талантливой и художественной остроты. 📚 Константин Станиславский, «Моя жизнь в искусстве»
По широкому коридору, как маятники, фланировали классные дамы в синих форменных платьях. 📚 Татьяна Луговская, «Я помню»
Как и в других приведенных примерах аними́зма и поклонения предкам, мертвым предлагают кушанья и окружают их полезными им предметами. 📚 Илья Мечников, «Этюды о природе человека»
Часы пробили девять: тапёр заиграл польку, но барышни всё так же сновали по залу и болтали. 📚 Луиджи Бертелли, «Дневник Джанни Урагани»
Шустрый молодой человек оказался представителем большой распространенной газеты и поэтому держал себя с соответствующим апло́мбом. 📚 Дмитрий Мамин-Сибиряк, «Черты из жизни Пепко»
Это знатная женщина, воспитанная в не́ге и роскоши. 📚 Василий Нарежный, «Российский Жилблаз, или Похождения князя Гаврилы Симоновича Чистякова»
Обидели человека, наврали на него с три короба и ещё ему же реприма́нды едут делать. 📚 Николай Лесков, «На ножах»
Showing the 12 most recent of 118 posts we hold for @slovar_psikhologia. 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 recorded as deleted after publishing
We recorded 1 post on @slovar_psikhologia 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 September 2026
- Most recent seen missing
- 10 September 2026
- Median time before seen missing
- 2 days
- Seen missing in the last 30 days
- 0
Mentions
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.
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.
@ruGrammar · 120,361#1
@flibusta_anglysky · 366,465#2
@SilaSlov · 117,554#3
@temalebedev · 967,574#4
@free_edu · 306,769#5
@samorasvitia_opros · 155,782#6
@lektorium20 · 114,396#7
@ThinkCritical · 47,017#8
@russicaru · 418,322#9
@slysh_erudit · 17,483#10
@marketpsy · 172,218#11
@moe_obrazovanie · 225,126#12
@temno · 79,163#13
@silaknigi · 122,001#14
@Sandymustache · 210,813#15
@very_interesno · 171,664#16
@ologyy · 15,212#17
@philosophicaI_thoughts · 120,526#18
@bbbreaking · 1,975,837#19
@dvachannel · 969,677#20
@moscowmap · 2,625,033#21
@fuckingenglish · 307,453#22
@exploitex · 2,028,700#23
@Reddit · 161,037#24
@lifeyt · 327,042#25
@pikabu · 254,983#26
@AphorismTG · 106,839#27
@stalin_gulag · 297,888#28
@mudak · 524,500#29
@Lepragram · 340,925#30
@d_code · 405,440#31
@ochewid · 54,691#32
@zapiski_redaktorki · 93,671#33
@deutschephilosophiee · 27,618#34
@economika · 146,172#35
@ieltstoeflcefrr · 65,165#36
@lexicona · 280,408#37
@nsmag · 245,951#38
@hacks_excel · 283,198#39
@otsuka_bld · 158,853#40
@NationGeographic · 322,560#41
@Black_History · 92,956#42
@Factura_Shop · 30,262#43
@kartiny2 · 71,364 (as read 18 August 2026)#44
@FactTG · 218#45
@bugfeature · 552,907#46
@brokoledu · 42,724#47
@viveconesto · 53,346#48
@funscience · 34,235#49
@Vnaime_norm · 80,364#50
@pic_history · 50,032#51
@nuancesprog · 55,991#52
@knigi_literatura · 257,873#53
@official_gigachat · 303,232#54
@kosmostime · 63,165#55
@sberbank · 728,593#56
@dailyeng · 72,796#57
@knifemedia · 101,862#58
@GuerrillaMarketing · 105,283#59
@habr_com · 134,368#60
@artgallery · 193,672#61
@oplata_skoro_budet · 644,271#62
@tsitaty_dnevniki_stikhi · 164,583#63
@hzvse · 34,400#64
@gramotnaya_rech · 171,705#65
@rasstriga · 59,887#66
@pravoinf · 32,738#67
@flibusta · 162,644#68
@MarketingPloy · 69,318#69
@zeroton · 24,087#70
@cmd_cv · 53,275#71
@iPumpBrain · 181,464#72
@teacherus · 34,728#73
@proglibrary · 77,665#74
@top_sovett · 5,763#75
@biblio8 · 58,418 (as read 18 August 2026)#76
@ikyklovod · 69,003#77
@elonmusk_ru · 59,989#78
@mash · 3,142,084#79
@twitt_ota · 421,090#80
@yaplakal · 420,010#81
@whackdoor · 1,541,494#82
@mycosmos · 129,726#83
@EnglishBestChannel · 159,969#84
@kinopoisk · 794,793#85
@anglyskyi_yazyk · 82,744#86
@hot_idioms · 53,770#87
@Architecture2021 · 35,711#88
@english2020easy · 236,240#89
@debilenglish · 60,777#90
@anglysky_yazyki · 57,143#91
Read from Telegram’s recommendation API, most recently 18 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.
@ruGrammar · 120,361
Telegram ranks this channel #3 of 90 here — alongside 89 others — read 14 August 2026
@SilaSlov · 117,554
Telegram ranks this channel #7 of 91 here — alongside 90 others — read 14 August 2026
@deutschephilosophiee · 27,618
Telegram ranks this channel #11 of 88 here — alongside 87 others — read 10 September 2026
@flibusta_anglysky · 366,465
Telegram ranks this channel #12 of 91 here — alongside 90 others — read 10 August 2026
@silaknigi · 122,001
Telegram ranks this channel #17 of 86 here — alongside 85 others — read 13 August 2026
@ThinkCritical · 47,017
Telegram ranks this channel #24 of 97 here — alongside 96 others — read 26 August 2026
@ikyklovod · 69,003
Telegram ranks this channel #25 of 86 here — alongside 85 others — read 20 August 2026
@Psikhologiaz · 24,509
Telegram ranks this channel #33 of 83 here — alongside 82 others — read 15 September 2026
@Pisatel_rasskazy · 89,025
Telegram ranks this channel #33 of 69 here — alongside 68 others — read 17 August 2026
@AUDIOKNIGI_CHANNEL · 256,609
Telegram ranks this channel #34 of 60 here — alongside 59 others — read 10 August 2026
@effective_official · 42,498
Telegram ranks this channel #43 of 85 here — alongside 84 others — read 28 August 2026
@ieltstoeflcefrr · 65,165
Telegram ranks this channel #44 of 84 here — alongside 83 others — read 21 August 2026
@dailyeng · 72,796
Telegram ranks this channel #47 of 87 here — alongside 86 others — read 19 August 2026
@ochewid · 54,691
Telegram ranks this channel #51 of 88 here — alongside 87 others — read 23 August 2026
@pofactam_tg · 119,818
Telegram ranks this channel #52 of 76 here — alongside 75 others — read 17 August 2026
@tsitaty · 33,969
Telegram ranks this channel #53 of 70 here — alongside 69 others — read 3 September 2026
@Vnaime_norm · 80,364
Telegram ranks this channel #53 of 94 here — alongside 93 others — read 18 August 2026
@PsyEducation · 58,848
Telegram ranks this channel #61 of 95 here — alongside 94 others — read 22 August 2026
@productivity_Q · 26,517
Telegram ranks this channel #63 of 84 here — alongside 83 others — read 12 September 2026
@brokoledu · 42,724
Telegram ranks this channel #64 of 96 here — alongside 95 others — read 28 August 2026
@naturesciencetg · 19,313
Telegram ranks this channel #65 of 88 here — alongside 87 others — read 1 October 2026
@hot_idioms · 53,770
Telegram ranks this channel #70 of 91 here — alongside 90 others — read 23 August 2026
@teacherus · 34,728
Telegram ranks this channel #73 of 94 here — alongside 93 others — read 3 September 2026
@EnglishBestChannel · 159,969
Telegram ranks this channel #73 of 81 here — alongside 80 others — read 12 August 2026
This channel appears in 27 seed channels' Telegram-generated recommendation lists in total, of which the 24 where it ranks highest are shown above. 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 8 November 2026 — this entry's latest reading, not the date you are reading this.
“Словарный запас | Саморазвитие” (@slovar_psikhologia), 82,990 subscribers as measured 8 November 2026. Telegram Register, tgregister.com/channel/slovar_psikhologia.
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.