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Channel

Love. Death. Transformers.

@lovedeathtransformers

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

25,973subscribers

+1,310 since we began measuring on 6 August 2026

Risers and fallers across the register · movement among entries of 10,000–31,623.

Register entry

Telegram ID-1001288791823
TypeChannel
Username@lovedeathtransformers
Description❤️☠️🤗 Указанные действия не являются ресерчем, поскольку: а) Мы не ученые; б) Оно работает. @transformerslovedeatch по всем вопросам Все ситуации вымышлены, любые совпадения с реальности плот вашей фантазии.
Created3 March 2020 — measured — cross-checked against a third-party dataset (ext.tg_channel)
First recorded6 August 2026
Last confirmed live23 October 2026
Measurements held44
Confirmed unchanged1 time, most recently 23 October 2026
On Telegramt.me/lovedeathtransformers

Topic

Technology — 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 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 why it has no browse page of its own yet.

Growth

24,66325,97625,319.56 August 2026 — 24,663 subscribers6 August 2026 — 24,663 subscribers7 August 2026 — 24,671 subscribers8 August 2026 — 24,675 subscribers9 August 2026 — 24,689 subscribers10 August 2026 — 24,699 subscribers11 August 2026 — 24,708 subscribers13 August 2026 — 24,725 subscribers14 August 2026 — 24,752 subscribers16 August 2026 — 24,750 subscribers17 August 2026 — 24,764 subscribers18 August 2026 — 24,772 subscribers19 August 2026 — 24,779 subscribers20 August 2026 — 24,788 subscribers21 August 2026 — 24,807 subscribers23 August 2026 — 24,813 subscribers25 August 2026 — 24,837 subscribers26 August 2026 — 24,865 subscribers27 August 2026 — 24,879 subscribers28 August 2026 — 24,883 subscribers30 August 2026 — 24,884 subscribers31 August 2026 — 24,900 subscribers1 September 2026 — 24,913 subscribers2 September 2026 — 24,925 subscribers3 September 2026 — 24,945 subscribers5 September 2026 — 24,998 subscribers8 September 2026 — 25,038 subscribers11 September 2026 — 25,059 subscribers13 September 2026 — 25,085 subscribers15 September 2026 — 25,107 subscribers16 September 2026 — 25,109 subscribers19 September 2026 — 25,222 subscribers25 September 2026 — 25,677 subscribers4 October 2026 — 25,727 subscribers8 October 2026 — 25,804 subscribers13 October 2026 — 25,865 subscribers14 October 2026 — 25,872 subscribers16 October 2026 — 25,881 subscribers17 October 2026 — 25,940 subscribers18 October 2026 — 25,966 subscribers19 October 2026 — 25,975 subscribers20 October 2026 — 25,976 subscribers22 October 2026 — 25,975 subscribers23 October 2026 — 25,973 subscribers25,9736 August 202623 October 2026
44 measurements spanning 78 days, net +1,310. 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 24,466–26,173 and does not start at zero.
Measurement log — every subscribers count we have recorded, most recent 20 of 44
Measured (UTC)SubscribersChange
23 Oct 2026, 03:4825,973-2
22 Oct 2026, 00:1625,975-1
20 Oct 2026, 16:4925,976+1
19 Oct 2026, 13:1825,975+9
18 Oct 2026, 10:2025,966+26
17 Oct 2026, 09:4625,940+59
16 Oct 2026, 08:0625,881+9
14 Oct 2026, 12:4825,872+7
13 Oct 2026, 02:5925,865+61
8 Oct 2026, 22:1425,804+77
4 Oct 2026, 10:3925,727+50
25 Sept 2026, 23:4125,677+455
19 Sept 2026, 03:5625,222+113
16 Sept 2026, 20:1525,109+2
15 Sept 2026, 00:4025,107+22
13 Sept 2026, 08:4125,085+26
11 Sept 2026, 10:2025,059+21
8 Sept 2026, 18:0125,038+40
5 Sept 2026, 08:2224,998+53
3 Sept 2026, 15:3824,945first reading

Engagement

189 posts held, back to 30 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 114 pages of Telegram’s post history, 20 posts per page.

ERR · 30 days
35.1%
avg views ÷ 25,973 subscribers
Avg views / post
9,110
95 posts measured
Reaction rate
1.28%
reactions ÷ views · ER floor
Posts in window
95
of 189 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 22 October 2026
Posts held189 (30 July 2026 – 22 October 2026)
Views total865,480
Reactions total11,063
Forwards / commentsnot exposed by the public surface — not measured, not estimated
Readings taken23 Oct 2026, 13:49 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
≈4,800
Videos
≈542
Links
≈3,160

Lifetime counters from Telegram’s own channel header, read 23 October 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
5m 43s
Average length
31s

Measured directly from 11 videos 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

21,749 reactions across 186 posts, in 45 distinct kinds. The most used accounts for 47.2% of them.

Every reaction kind recorded on the sample, most used first
ReactionCountShareShare, drawn
😁10,26747.2%
🔥2,99113.8%
👍1,3726.31%
🤡8924.10%
custom 53483004275468595196693.08%
❤‍🔥5682.61%
custom 53166794309097325215402.48%
👏5242.41%
💩4902.25%
😭4331.99%
🍓3761.73%
🥴3551.63%
💯2901.33%
🫡2421.11%
💊2040.938%
🤔1940.892%
😍1870.86%
😨1870.86%
😢1440.662%
💔1100.506%
25 further kinds7143.28%

Custom emoji. 2 of the rows above are 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 188 of the 189 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 21,870 reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.

Measured over the 189 most recent posts we hold, published 30 July 2026 to 22 October 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
43
across the posts below
Posts paid on
17
of 189 we hold a reading for · 9%
Most on one post
9
single highest reading

A paid reaction is a reader spending Telegram Stars — bought with money — on a post by @lovedeathtransformers. 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 189 most recent posts we hold for this entry, published 30 July 2026 to 22 October 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

22 Oct 2026, 18:53 UTC≈5,340 views76 reactionsread 23 October 2026
Photo

"just tune llm on it" Работает всегда и везде, hf релизнули тюн квена для DNA генерации, неожиданно все работает, по качеству лучше чем бОльшие модели. https://huggingface.co/HuggingFaceBio/Carbon-X

👍56🔥20

22 Oct 2026, 14:31 UTC≈6,240 views73 reactionsread 23 October 2026
Video

спустя пять дней заглянул посмотреть как дела и как оно учится - весьма и весьма неплохо научилась топать по неровной поверхности, что интересно - codex тыкает это (почти) автономно и почти адекватно меняет дизайн награды и энва

👍51😁11✍5🔥5🤡1

22 Oct 2026, 10:30 UTC≈6,320 views260 reactionsread 23 October 2026
Forwarded from @panorama_rasPhoto

Российские журналы, отказавшиеся войти в издательство «Наука», исключат из «белого списка» По словам источника, близкого к руководству РАН, у независимых журналов и журналов, которые раньше издавались Pleiades, есть время до 1 января 2027 года. После этой даты статья в журнале, который не входит в "Науку", будет считаться научной только с точки зрения самого автора. «Настоящая наука делается на национальных языках.…

🤡196😁50😢5🔥3🤪3👍1👏1🤔1

20 Oct 2026, 13:38 UTC≈7,640 views88 reactionsread 23 October 2026
Photo

Теперь 10s видео генерируется за 10s, flux 3 max выглядит невероятно?

🔥73🍓12👍1🤡1🦄1

20 Oct 2026, 10:39 UTC≈7,360 views302 reactions1 Starread 23 October 2026
Forwarded from @contextrot

> be корпорации > заменяем людей на эйай агентов > косты -50%, акционеры кайфуют 📈 > уволенные идут на завод и в доставку > зарплаты там падают > никто не покупает наши услуги т.к денег нет у людей > выручка падает > увольняем ещё!! > покупают ещё меньше > агенты пашут 24/7 и жрут бабос > бабос уходит трём челам с дата-центрами > эти челы не купят 10 млн наших сикс севен сервис подписок > каждый из нас действовал рац…

custom 5316679430909732521193💯55😁42👍4🔥3🤡3❤‍🔥1🫡1

19 Oct 2026, 16:33 UTC≈9,380 views111 reactionsread 23 October 2026
Photo

я заорал.

😁75🤔21🔥4💊3💩3🤓3custom 53166794309097325212

19 Oct 2026, 11:51 UTC≈10,100 views165 reactionsread 23 October 2026
Photo

Агенты уходят к тем, кто не отказывает. GLM-5.3 Raw: анцензнутый, 1M контекста, tool calling, API совместим с вашим любимым агентом. А добавление карты дает 1usd бонуса. rawmodels.ai

🤡115👍30😁10custom 53483004275468595194🔥3💩2😍1

18 Oct 2026, 12:27 UTC≈11,600 views209 reactionsread 23 October 2026
Photo

это могли бы быть мы, но мы не выбрали быть счастливыми

😁183💯13✍7🔥3🤡2👍1

17 Oct 2026, 16:39 UTC≈13,000 views49 reactionsread 23 October 2026
Video

MLP Лет 7 назад в вк был попуряный проект sweetybot - робота на ROS и тд, а ща это все заброшено, 10 раз устарело и в целом все какое то не модное, я скормил все это кодексу и он за несколько часов и 10% 200 евровой подписки сделал эээ ЭТО Оно с нуля собрано, перенесено в mujuco и даже "как то" ходит. Если тут есть настоящие robotics инженеры посмотрите сюда и скажите - оно вообще может работать в теории поддерж…

👍24🔥11🤡9🦄4🤔1

16 Oct 2026, 17:34 UTC≈11,900 views28 reactionsread 23 October 2026

1) сейфти очень сложно продавать если никто не понимает смысла(soc2 обратный пример) 2) лучший сейфти делают люди у которых есть реальные технологии и которые делают полезное 3) земля стекловатой Ai monitoring startups, хотя все равно open filantropy докинут и я продолжу играть в бинго при чтении appolo Ai статей https://x.com/openrouter/status/2110838205654470840?s=46

custom 534830042754685951919💊4🔥3💯1😁1

16 Oct 2026, 15:10 UTC≈12,100 views183 reactionsread 23 October 2026
Photo

я ненавижу нейрослоп. мне кажется что все ненавидят, но еще больше чем нейрослоп я не люблю(и не умею) писать тексты руками, поэтому что я делаю? RLAIFю модель писать не нейрослопные тексты! Это qwen 27b, ревард от калиброванного на human против не ai текстах, с рубриками и оценкой качества. Он не просел на terminal bench и прочих Короче это qwen3.8 который пишет короче, бесит меньше и может проходить проверяющие н…

🔥126custom 534830042754685951934🤡17🫡5👍1

16 Oct 2026, 14:51 UTC≈8,070 views45 reactionsread 23 October 2026
Forwarded from @c0mmit

Из сессий с агентами получаются готовые evals Каждый раз, когда выбираю сетап для кодового агента, я немного гадаю. Лучше ли эта новая модель? Помогает ли больше reasoning? Помогают ли эти скиллы? Поэтому из ~1270 своих сессий в Claude Code, Codex и Pi я собрал 10 задач с автоматической проверкой и прогнал на них разные сетапы. Сделал пару публикаций про это, у меня спросили про то, как такое сделать самим. Поэтом…

👍31🔥10🤔4

Showing the 12 most recent of 189 posts we hold for @lovedeathtransformers. 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.

Stars beside a post are paid reactions — Telegram Stars, bought with money and spent on that post. They are a different unit from reactions and are never added to them, here or anywhere else on this page.

Posts edited after publishing

@lovedeathtransformers 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
13 October 2026
Most recent edit
13 October 2026

Forward network

Republished by

Channels on the register that have forwarded this channel's posts into their own feed.

Republished by 50 registered channels. The 48 listed are the ones that have forwarded the most posts; the rest are counted here but not each listed.

LakoMoor
@LakoMoorDev · 310
3 posts
Neural Shit
@NeuralShit · 54,371
3 posts
Lol
@Oleh_Zherebetskiy · 7
2 posts
AbstractDL
@abstractDL · 18,806
2 posts
AI Monitor All
@aimonitorall · 25
2 posts
Анекдоты про ml
@ceoog · 17
2 posts
Classical Vlad
@classical_vlad · 499
2 posts
Данила Платонов пишет
@danilaplatonov · 38
2 posts
около минимума
@globminsearch · 22
2 posts
GPTPROMAX
@gptpromax · 23
2 posts
мл приколы
@mlprikols · 21
2 posts
что-то на DL-ском
@nadlskom · 5,127
2 posts
Andromeda_AI
@Andromeda_AI · 12
1 post
Bear Market
@Bear_Mrkt · 1,690
1 post
Kelchin | InfoSec
@Kelchin_InfoSec · 114
1 post
RED BLUE Machines | ИИ и безопасность
@ai_cybersecurity · 1,178
1 post
#N/A
@anai8 · 192
1 post
Техническая информация Компьютерное зрение и одноплатники
@asio_tech · 50
1 post
Борис опять
@boris_again · 17,938
1 post
эстетика маргинального хардкора
@click_for_death · 10,645
1 post
cyberium_moon
@cyberium_moon · 4
1 post
Denis Sexy IT 🤖
@denissexy · 138,562
1 post
НеHighТак
@digitalslezki · 62
1 post
Futurioo
@futurioo · 519
1 post
Темы. Главное (ГлавМедиа)
@glavmedia · 74,192
1 post
Градиентное погружение
@gradientdip · 4,189
1 post
Доктор конь. Размышления.
@horsekognition · 25
1 post
так похуй я хаваю всю сотку
@ihavenomouthandimust · 1
1 post
🌿 Intent Garden Org
@intentgarden · 28
1 post
Lama AI
@lama_channel_gpt · 24,280
1 post
LLM Arena
@llm_arena · 1,387
1 post
Синтез Петровича
@metaqualia · 52
1 post
ML Глоссарий
@ml_glossary · 123
1 post
ML&|Sec Feed
@mlsecfeed · 1,394
1 post
underground
@mlunderground · 2,026
1 post
Навука и моя жизнб
@navuka_i_jizn · 160
1 post
Мне смешно
@necrohaha · 14
1 post
Миша Малышев
@og_mishgun · 633
1 post
genai
@pruhatech · 155
1 post
roscoe
@roscoe1912 · 95
1 post
Я у мамы SecMemOps
@secmemops · 5,404
1 post
shonenkov AI
@shonenkovAI · 3,298
1 post
Идеальный стартап
@startup_custdev · 813
1 post
iggisv9t channel
@sv9t_channel · 2,151
1 post
Техножрица 👩‍💻👩‍🏫👩‍🔧
@tech_priestess · 15,103
1 post
Я плачу на технологиях
@technotears · 138
1 post
Ortomich | shit talking ♿️
@tema_shit_talking · 113
1 post
Учеба
@vaject · 1
1 post

Republishes

Channels on the register whose posts this channel has forwarded.

Just links
@j_links · 6,927
4 posts
Марков цепи пропил
@markovdrankthechains · 3,411
4 posts
Старший Авгур
@senior_augur · 8,380
4 posts
AbstractDL
@abstractDL · 18,806
3 posts
Neural Shit
@NeuralShit · 54,371
2 posts
Геймдев, который мы заслужили
@korovany · 15,338
2 posts
LakoMoor
@LakoMoorDev · 310
1 post
Саша делает стартап
@aimalysheva · 2,028
1 post
Институт AIRI
@airi_research_institute · 13,912
1 post
black_samorez
@black_samorez_channel · 1,379
1 post
Борис опять
@boris_again · 17,938
1 post
commit history
@c0mmit · 4,512
1 post
контекст rot
@contextrot · 422
1 post
Denis Sexy IT 🤖
@denissexy · 138,562
1 post
download more GPUs
@downloadmoregpus · 742
1 post
ду́но
@dunnolab · 1,694
1 post
Павел Дуров
@durov_russia · 978,243
1 post
Кофейный теоретик
@forodirchNEWS · 4,924
1 post
Фарш не провернуть 💝
@fuckup_files · 1,667
1 post
Kekenavts Analytics 5G По ППС 🇺🇸🇷🇺🇮🇱🇰🇿🇨🇳🇰🇷🇺🇿🇹🇼
@kekanalytics · 25,853
1 post
ktoya_me
@ktoya_me · 498
1 post
[NEWS] Lols Anti Spam Bot
@lolsAntiSpam · 7,279
1 post
max.sh
@max_dot_sh · 3,381
1 post
что-то на DL-ском
@nadlskom · 5,127
1 post
NLP Wanderer
@nlpwanderer · 1,591
1 post
НИИ «Панорама» РАН
@panorama_ras · 5,106
1 post
латте
@politlatte · 75
1 post
КПД
@quant_prune_distill · 3,507
1 post
russiansinlondon
@russiansinlnd · 21,477
1 post
Kali Novskaya
@rybolos_channel · 19,096
1 post
Разработки Теры
@teraspace_news · 437
1 post
The place to land
@the_place_to_land · 2,502
1 post

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 14 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.

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.

Код Желтый
@kod_zheltyi · 33,555
Telegram ranks this channel #45 of 96 here — alongside 95 others — read 4 September 2026
запуск завтра
@ctodaily · 33,716
Telegram ranks this channel #49 of 96 here — alongside 95 others — read 4 September 2026
Яндекс нанимает | Вакансии для разработчиков
@ya_jobs · 33,067
Telegram ranks this channel #71 of 96 here — alongside 95 others — read 5 September 2026
Data Science. SQL hub
@sqlhub · 36,160
Telegram ranks this channel #74 of 87 here — alongside 86 others — read 2 September 2026
Яндекс Образование
@Education_Yandex · 38,184
Telegram ranks this channel #74 of 96 here — alongside 95 others — read 31 August 2026
Библиотека питониста | Python, Django, Flask
@pyproglib · 37,124
Telegram ranks this channel #82 of 84 here — alongside 83 others — read 1 September 2026
Job for Analysts & Data Scientists
@foranalysts · 37,512
Telegram ranks this channel #89 of 96 here — alongside 95 others — read 1 September 2026

This channel appears in 7 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 23 October 2026 — this entry's latest reading, not the date you are reading this.

“Love. Death. Transformers.” (@lovedeathtransformers), 25,973 subscribers as measured 23 October 2026. Telegram Register, tgregister.com/channel/lovedeathtransformers.

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.