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Telegram profile photo for Akashiana

Channel

Akashiana

@Akashiana

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

748subscribers

+14 since we began measuring on 12 August 2026

Risers and fallers across the register · movement among entries of Under 1,000.

Register entry

Telegram ID-1001665061704
TypeChannel
Username@Akashiana
CreatedBetween 1 December 2021 and 30 April 2023 — estimated from Telegram’s id allocation, not measured. How this range is calculated.
First recorded12 August 2026
Last confirmed live11 September 2026
Measurements held5
Confirmed unchanged1 time, most recently 11 September 2026
On Telegramt.me/Akashiana

Topic

Other / unclassifiable — 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 20 September 2026 and assigned it the closest of 31 fixed categories, at 95% 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

73474874112 August 2026 — 734 subscribers13 August 2026 — 734 subscribers20 August 2026 — 741 subscribers2 September 2026 — 744 subscribers11 September 2026 — 748 subscribers12 August 202611 September 2026
5 measurements spanning 30 days, net +14. 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 732–750 and does not start at zero.
Measurement log — every subscribers count we have recorded
Measured (UTC)SubscribersChange
11 Sept 2026, 04:38748+4
2 Sept 2026, 17:06744+3
20 Aug 2026, 08:26741+7
13 Aug 2026, 02:05734no change
12 Aug 2026, 04:02734first reading

Engagement

18 posts held, back to 14 July 2026the reader has not yet reached the start of this channel’s public history, so older posts may sit further back, unread. Read across 1 page of 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 18 posts for this entry, the most recent from 11 August 2026. An engagement rate over an empty window would be a number about nothing.

What this channel posts

Video runtime
13m 47s
Average length
13m 47s

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

31 reactions across 5 posts, in 4 distinct kinds. The most used accounts for 80.6% of them.

Every reaction kind recorded on the sample, most used first
ReactionCountShareShare, drawn
2580.6%
👍39.68%
👏26.45%
😁13.23%

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 5 of the 18 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 31 reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.

Measured over the 18 most recent posts we hold, published 14 July 2026 to 11 August 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

11 Aug 2026, 20:39 UTC65 viewsread 12 August 2026

Yo llevo una marca de quemadura bajo piel en el brazo desde hace unos siete años. La quemadura se dió en el momento de un eclipse. El eclipse energizó el grafeno de un morgellons y me quemó la piel por dentro. El restro del cuerpo estaba protegido. Me parece que una persona grafenada al exponerse a la energía de un eclipse podrá sufrir graves daños.

Signed Akashiana

8 Aug 2026, 20:46 UTC417 views16 reactionsread 12 August 2026

Hay gente ofendiendo-se porque yo, Akashiana, publico todo tipo de informaciones técnicas sobre los compuestos que vamos investigando y experimentando en contra de neoparásitos y nanotecnologia transhumanizante. Yo trato de producir conocimiento útil. No estoy promocionando productos y ni tampoco soy hincha ciega de ninguna sustáncia. Me interesa el conocimiento, la verdad, y la experiencia en esta 3D. Mi metodología

14👏2

Signed Akashiana

8 Aug 2026, 01:19 UTC168 viewsread 12 August 2026
File

Hoja de Seguridad sobre la Creolina de la empresa GTM (Grupo Transmerquin)

Signed Akashiana

7 Aug 2026, 23:57 UTC264 viewsread 12 August 2026

El boro tiene todo un capítulo en esta enciclopedia de productos químicos dañosos al ambiente.

Signed Akashiana

7 Aug 2026, 23:54 UTC270 viewsread 12 August 2026

Eisler's Encyclopedia of Environmentally Hazardous Priority Chemicals - Ronald Eisler - Google Livros https://books.google.com/books/about/Eisler_s_Encyclopedia_of_Environmentally.html?hl=pt-BR&id=B3qXQswP8zIC

Signed Akashiana

3 Aug 2026, 13:39 UTC173 views9 reactionsread 12 August 2026
Forwarded from @nuevahumanidaPhoto

Photo, posted without a caption

9

Signed Akashiana

3 Aug 2026, 00:42 UTC183 viewsread 12 August 2026

Sobre el desmonte de agroflorestas tradicionales y antiguas en vários continentes, siglos XVIII y XIX. Reseteo alimentario en prol de monoculturas y control.

Signed Akashiana

3 Aug 2026, 00:36 UTC213 views1 reactionsread 12 August 2026

https://youtu.be/ZhQk45Ra_Sw?si=cRdYhUg3i4BeJZwj

1

Signed Akashiana

31 Jul 2026, 00:29 UTC969 views4 reactionsread 12 August 2026

Morgellons: creolina en solución fuerte, aplicada dos veces al dia sobre heridas morg, excelente. -Quita dolor de inmediato -Paralisa o mata a la parte biologica del neoparásito, arrestrando su proceso transhumanizante -Después de secar las heridas, la piel busca eliminar los cacharros: Rascar con cuidado para ayudar a eliminar los cacharros, sin herir. -Uso Creolina Pearson brasileña -Otras infos en el canal Creolin

👍3😁1

Signed Akashiana

29 Jul 2026, 00:19 UTC240 viewsread 12 August 2026
Forwarded from @nuevahumanidaPhoto

Más proyectos europeos .... hidrogeles, biotintas de base humanas .. 😱 En el marco de este proyecto, se probarán y validarán precursores derivados de proteínas humanas que pueden curarse mediante exposición a la luz para formar hidrogeles blandos con propiedades mecánicas ajustables, Human based bioinks to engineer physiologically relevant tissues | HumanINK | Project | Fact Sheet | HORIZON |un CORDIS | European

Signed Akashiana

20 Jul 2026, 00:33 UTC311 viewsread 12 August 2026
File

Ardis menciona parasitas sintéticos / hidrogeles / wifi

Signed Akashiana

17 Jul 2026, 00:46 UTC362 viewsread 12 August 2026

👆🏽En Vzla ya se viene usando tomas de creolina y de querosene "para complementar los medicamentos que faltan".

Signed Akashiana

Showing the 12 most recent of 18 posts we hold for @Akashiana. 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.

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.

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.

CLORITO DE SODIO EN ESPAÑOL❤️🤗
@cloritodesodio · 23,522
Telegram ranks this channel #51 of 73 here — alongside 72 others — read 18 September 2026

This channel appears in 1 seed channel's Telegram-generated recommendation list 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 11 September 2026 — this entry's latest reading, not the date you are reading this.

“Akashiana” (@Akashiana), 748 subscribers as measured 11 September 2026. Telegram Register, tgregister.com/channel/Akashiana.

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.