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 24 September 2026 and assigned it the closest of 31 fixed categories, at 99% 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.
Previous handles
@trajectory_psy was previously reachable at this handle, before switching to its current one. This says nothing about who or what answers at the old handle today — only that this channel no longer does.
@psycho_panorama held 8 August 2026 – 8 August 2026
Growth
8 measurements spanning 89 days, net +48. 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 148–210 and does not start at zero.
Measurement log — every subscribers count we have recorded
Measured (UTC)
Subscribers
Change
4 Nov 2026, 21:22
203
+29
1 Oct 2026, 00:58
174
-2
16 Sept 2026, 06:01
176
+4
8 Sept 2026, 06:22
172
+13
22 Aug 2026, 11:08
159
+2
15 Aug 2026, 16:07
157
+2
8 Aug 2026, 18:45
155
no change
7 Aug 2026, 12:32
155
first reading
Engagement
25 posts held, back to 1 June 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 2 pages of Telegram’s post history, 20 posts per page.
ERR · 30 days
84.2%
avg views ÷ 203 subscribers
Avg views / post
171
12 posts measured
Reaction rate
4.17%
reactions ÷ views · ER floor
Posts in window
12
of 25 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. It is computed over the 9 of 12 measured posts that carry a reaction reading, and over those same posts' views.
What these figures were computed from
Window
Rolling 30 days · latest post in window 3 November 2026
Posts held
25 (1 June 2026 – 3 November 2026)
Views total
2,050
Reactions total
75
Forwards / comments
not exposed by the public surface — not measured, not estimated
Readings taken
4 Nov 2026, 21:22 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
91
Videos
2
Links
29
Lifetime counters from Telegram’s own channel header, read 4 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
9s
Average length
9s
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
139 reactions across 18 posts, in 13 distinct kinds. The most used accounts for 27.3% of them.
Every reaction kind recorded on the sample, most used first
Reaction
Count
Share
Share, drawn
custom 5332268826459403174
38
27.3%
custom 5453886511982339139
38
27.3%
custom 5330031693959035796
15
10.8%
custom 5271671978988685532
8
5.76%
custom 5359298838064540015
7
5.04%
custom 5273804541920299303
6
4.32%
custom 5386494278925040574
6
4.32%
custom 5352688389474760265
5
3.60%
custom 5418075186337436916
5
3.60%
custom 5422808055614025882
4
2.88%
custom 5467409847873988872
4
2.88%
custom 5377376703305753249
2
1.44%
custom 5352670810173614885
1
0.719%
Custom emoji. Every row above is a Telegram custom emoji, which the public preview renders as an element carrying only a numeric id — no character, and no image we can reach. The id is printed as-is rather than substituted with a look-alike glyph, because a stand-in would be our invention showing where a measurement should be. The counts beside them are Telegram’s.
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 25 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 139 reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.
Measured over the 25 most recent posts we hold, published 1 June 2026 to 3 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: 1 of 12 posts held from the last 30 days (8.33%) 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).
Самое дорогое — потратить время на то, что вам на самом деле не нужно.
У нас не бесконечное количество времени и сил. Каждый день мы так или иначе решаем, на что их потратить: какую работу выбирать, какие отношения строить, чему говорить «да», а от чего отказываться. Но не всегда эти решения действительно про нас. Иногда мы продолжаем что-то делать просто потому, что привыкли, потому что «так надо», потому что этого…
Следующая встреча уже в эту субботу! ⏰
Будем разбираться с ценностями, личными ориентирами и тем, как они помогают принимать решения.
Все подробности о воркшопе — ниже ⤵️
Мы немного отдохнули после нашего фестиваля и теперь пришло время подумать о наших регулярных мероприятиях. Сейчас у нас в планах ввести новые формат для нас, и один из них — совместные кинопросмотры с психологическим обсуждением. Сейчас размышляем между двумя немного разными концепциями:
1️⃣ Кино, которое заставляет задуматься
Этот формат кинопросмотров мы видим как просмотр фильмов о сложных человеческих переживан…
Товарищи!
Уже завтра смотрим «А теперь не смотри» Николаса Роуга — мистический триллер 1973 года, в котором горе и память переплетаются с предчувствием смерти.
После семейной трагедии Джон и Лора Бакстер отправляются в Венецию. Кажется, что поездка поможет супругам пережить утрату и вернуться к привычной жизни. Но вскоре Лора знакомится с двумя пожилыми сёстрами, одна из которых утверждает, что видит их погибшую до…
Завтра встречаемся за просмотром кино 🎬
Будем смотреть и обсуждать триллер «А теперь не смотри» с психологом и организатором «Траектории» — Анжеликой.
Поговорим о тревоге, предчувствиях и попытках найти смысл в случайностях. Обсудим, как утрата меняет отношения и почему общее горе не всегда сближает.
Подробности и регистрация — в посте ниже 💜
Оставляем здесь немного тёплых воспоминаний с нашего фестиваля ❤
В этот день мы общались, рисовали, играли, выбирали книги и пробовали психологию в самых разных форматах.
Спасибо всем, кто провёл этот день вместе с нами!
А мы уже думаем о том, где и как встретимся снова 😊
Давайте начнём неделю с хороших новостей ❤️
Фестиваль завершился, и мы готовы поделиться итогами:
〰благодаря продаже билетов
〰и прибыли от маркета
〰нам удалось собрать
〰20 000 рублей!
Мы переводим по 10 000 рублей в центр «Сёстры» и фонд «Быть мамой».
Благодарим всех спикеров, которые участвовали в фестивале:
✨✨✨
⭐ Ганну Херзлич — @dr_ganna_herzlich / tgк: @drherzlich
✨✨✨
⭐ Анастасию Гуляеву — @Nasta_siaa / tgк: …
Первая лекция начнется через несколько часов 🤓
А пока делимся с вами важной информацией
💋С 11:00 до 12:00 сбор участников — приходите в Циферблат заранее, чтобы без спешки и очереди взять себе кофе, чай и вкусности
💋Немного сдвигаем начало разбора МАК — начинаем в 13:30
✴️У нас отмена книжного клуба — по техническим причинам мероприятие не состоится. Если вы оплатили участие в клубе — свяжитесь с нами и мы вернем в…
Фестиваль уже завтра! Знакомим вас с его самой тактильной частью — психологический маркет 🌿
Мы собрали вещи, которые можно будет посмотреть, полистать и забрать с собой — для самоподдержки, рефлексии или как подарок кому-то близкому.
На маркете вас будут ждать дневники и скетчбуки, психологические карточки и игры, антитревожные камушки и книги вслепую 📚
А ещё мы подготовили небольшие подарки для каждого участника фе…
А что вообще такое «Циферблат»? ☕️
Люди, которые уже были на наших лекциях знают это пространство — именно здесь проходят наши встречи. Но среди вас наверняка есть и те, кто 10 октября придёт сюда впервые, поэтому перед фестивалем рассказываем, как всё устроено. 🙏
«Циферблат» — это культурное пространство в самом центре Москвы, куда можно прийти поработать, почитать, встретиться с друзьями или заглянуть на мероприя…
Знакомим вас с самыми необычными практиками нашего фестиваля — МАК и Т-игрой. Оба формата предлагают посмотреть на свою ситуацию через образы, ассоциации и игровые сюжеты.
🎴 Разбор вашего запроса с помощью МАК
МАК — это метафорические ассоциативные карты с изображениями людей, предметов, пейзажей и различных сюжетов. Внешне они могут напоминать карты Таро, однако психологи используют этот инструмент не для предсказ…
Showing the 12 most recent of 25 posts we hold for @trajectory_psy. 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.
Polls
The poll we hold for this entry, as Telegram rendered it when we read the post. A poll’s figures keep moving after that, so each one is dated.
Shares as published. No per-option vote count is published by Telegram, so none is shown.
Percentages only — there are no per-option vote counts here, because Telegram publishes none. The public post preview gives each option’s share and a single voter total, and nothing else. Multiplying one by the other would produce a per-option tally that looks measured and is not: the shares are rounded to whole numbers before we ever see them. We print what was published and leave the column that does not exist empty.
The shares need not add up to 100. Rounding alone puts many polls at 99 or 101. A poll that allows more than one answer per voter runs well past 100 by design, and several here do. The bars are drawn against a fixed 100% track at each option’s own percentage rather than normalised to the total, so a poll that exceeds it shows that it does instead of being quietly rescaled.
Read from the 25 most recent posts we hold, published 1 June 2026 to 3 November 2026. Telegram labels each poll by kind — an anonymous poll, a quiz, a closed set of final results — and that label is reproduced rather than paraphrased.
Forward network
Republished by
Channels on the register that have forwarded this channel's posts into their own feed.
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
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.
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 4 November 2026 — this
entry's latest reading, not the date you are reading this.
“Траектория | Psy сообщество” (@trajectory_psy), 203 subscribers as measured 4 November 2026. Telegram Register, tgregister.com/channel/trajectory_psy.
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.