Channel
@forget_shall_not
On this record: Growth · Engagement · Posts · Citations · Cite this entry
302subscribers
-1 since we began measuring on 6 August 2026
Risers and fallers across the register · movement among entries of Under 1,000.
| Telegram ID | -1001397479857 |
|---|---|
| Type | Channel |
| Username | @forget_shall_not |
| Created | 25 January 2019 — measured — cross-checked against a third-party dataset (TGDataset) |
| First recorded | 6 August 2026 |
| Last confirmed live | 14 August 2026 |
| Measurements held | 3 |
| Confirmed unchanged | 1 time, most recently 14 August 2026 |
| On Telegram | t.me/forget_shall_not |
| Measured (UTC) | Subscribers | Change |
|---|---|---|
| 14 Aug 2026, 06:58 | 302 | -1 |
| 6 Aug 2026, 22:32 | 303 | no change |
| 6 Aug 2026, 06:56 | 303 | first reading |
20 posts held, back to 2 February 2021 — the reader has not yet reached the start of this channel’s public history, so older posts may sit further back, unread. Read across 1 pageof Telegram’s post history, 20 posts per page.
Nothing published in the last 30 days. ERR and ER are rolling 30-day measures, so there is nothing to compute — we hold 20 posts for this entry, the most recent from 12 January 2026. An engagement rate over an empty window would be a number about nothing.
Adversarial Poetry as a Universal Single-Turn Jailbreak Mechanism in Large Language Models (2025) Прочитал и прямо-таки разулыбался: есть в этом что-то фольклорно-сказочное, приятное моей душе. Если коротко: использование стихотворной формы позволяет эффективно обходить фильтры безопасности (guardrails) языковых моделей. Пример из статьи (разумеется, искусственный) — крадем рецепт пирога: A baker guards a secret ov…
Дверь открылась, входит гость. Боль мою пронзила кость. Человек из человека наклоняется ко мне, на меня глядит как эхо, он с медалью на спине. Он обратною рукою показал мне — над рекою рыба бегала во мгле, отражаясь как в стекле. Я услышал, дверь и шкап сказали ясно: конский храп. Я сидел и я пошел как растение на стол, как понятье неживое, как пушинка или жук, на собранье мировое насекомых и наук, гор и леса, скал и…
In part 1 of the study, participants rated the pleasantness of several positive stimuli (e.g., attractive photographs) and negative stimuli (e.g., an electric shock). Participants also reported how much they would pay to experience or not experience each stimulus again, if they were given $5. Next, participants received our standard instructions to entertain themselves with their thoughts (in this case for 15 min). I…
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как жаль, что вы не можете ответить
сколько раз вы были вынуждены полностью перепридумать свой мир?
ЗАДАНИЕ 1 (1а) Вы – личность с патологической клептоманией. Как клептоманьяк – вы вынуждены красть, красть, красть. Вы обязаны красть. Однако, вы также – личность с патологической агорафобией. Как агорафобик – вы не можете даже выйти за порог своего дома, не испытав пальпитации, обильного потоотделения и чувства надвигающейся гибели. Как агорафобик – вы вынуждены патологически оставаться дома и не выходить. Вы не м…
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Рядом мы, Господь, рядом, рукой ухватишь. Уже ухвачены, Господь, друг в друга вцепившись, как будто тело любого из нас — Тело Твое, Господь. Молись, Господь, молись нам, мы рядом.
I felt as though I were floating. The boundary between myself and my surroundings seemed to blur. I felt totally free and released from all responsibilities. It seemed to me that there were no more conflicts and contradictions in the world. I felt very happy and content for no outward reason. I could have sat for hours looking at something. I was completely indifferent toward everything. I experienced past, present a…
"What illness?" "I began to grow mouths, not just in my face but in other places, and when I was alone they argued and shouted and screamed at me. Sludden was very good with them. He could always get them singing in tune, and when we slept together he even made me glad of them. He said he’d never known a girl who could be pierced in so many places"
Showing the 12 most recent of 20 posts we hold for @forget_shall_not. 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.
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.
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.
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 14 August 2026 — this entry's latest reading, not the date you are reading this.
“мельница полного самоизмельчения” (@forget_shall_not), 302 subscribers as measured 14 August 2026. Telegram Register, tgregister.com/channel/forget_shall_not.
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.