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Channel

Dasha The Researcher

@dasha_the_researcher

On this record: Growth · Engagement · Reactions · Posts · Citations · Cite this entry

37subscribers

+1 since we began measuring on 8 August 2026

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

Register entry

Telegram ID-1003400889138
TypeChannel
Username@dasha_the_researcher
Created8 December 2025measured — dated from the channel’s first post
First recorded10 August 2026
Last confirmed live17 September 2026
Measurements held3
Confirmed unchanged2 times, most recently 17 September 2026
On Telegramt.me/dasha_the_researcher

Growth

363736.58 August 2026 — 36 subscribers10 August 2026 — 36 subscribers10 September 2026 — 37 subscribers8 August 202610 September 2026
3 measurements spanning 33 days, net +1. 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 36–37 and does not start at zero.
Measurement log — every subscribers count we have recorded
Measured (UTC)SubscribersChange
10 Sept 2026, 10:2037+1
10 Aug 2026, 22:4736no change
8 Aug 2026, 04:3036first reading

Engagement

5 posts held, back to 8 December 2025the 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 5 posts for this entry, the most recent from 3 June 2026. An engagement rate over an empty window would be a number about nothing.

Reaction mix

26 reactions across 2 posts, in 3 distinct kinds. The most used accounts for 42.3% of them.

Every reaction kind recorded on the sample, most used first
ReactionCountShareShare, drawn
1142.3%
🔥1142.3%
🎉415.4%

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 2 of the 5 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 26 reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.

Measured over the 5 most recent posts we hold, published 8 December 2025 to 3 June 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

3 Jun 2026, 13:37 UTC512 views17 reactionsread 10 August 2026
Photo

🚀 Возвращаемся после долгого перерыва с тем, что и правда приятно показать 🚀 Это результат интенсивной работы над небольшими моделями, которые хорошо умеют в три вещи: рассуждать , сохранять верность источникам и честно воздерживаться от ответа, когда данных недостаточно. Последние годы развитие языковых моделей в основном шло через масштаб: больше параметров, больше знаний, больше сведений о мире, зашитых в веса.

🔥11🎉42

10 Dec 2025, 08:01 UTC460 views9 reactionsread 10 August 2026
Photo

Поучаствовали в воркшопе EMNLP 2025 как часть команды по созданию датасета Global PIQA. Это набор данных для оценки физического здравого смысла на 100+ языках, созданный 335 исследователями из 65 стран. Мы собрали русскоязычную часть из материалов российских школьных учебников разных классов. Для первичной генерации примеров использовали три LLM: GPT 5, GPT 4.1 и O4‑mini. После чего командой из трёх экспертов вручну

9

Showing the 5 most recent of 5 posts we hold for @dasha_the_researcher. 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

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.

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 10 September 2026 — this entry's latest reading, not the date you are reading this.

“Dasha The Researcher” (@dasha_the_researcher), 37 subscribers as measured 10 September 2026. Telegram Register, tgregister.com/channel/dasha_the_researcher.

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.