Channel
@star_research_consultancy
On this record: Topic · Growth · Engagement · Reactions · Posts · Citations · Telegram's recommendations · Cite this entry
2,410subscribers
-29 since we began measuring on 7 August 2026
Risers and fallers across the register · movement among entries of 1,000–3,162.
| Telegram ID | -1001642582131 |
|---|---|
| Type | Channel |
| Username | @star_research_consultancy |
| Created | Between 1 December 2021 and 30 April 2023 — estimated from Telegram’s id allocation, not measured. How this range is calculated. |
| First recorded | 7 August 2026 |
| Last confirmed live | 18 September 2026 |
| Measurements held | 12 |
| Confirmed unchanged | 1 time, most recently 18 September 2026 |
| On Telegram | t.me/star_research_consultancy |
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 15 September 2026 and assigned it the closest of 31 fixed categories, at 100% 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.
| Measured (UTC) | Subscribers | Change |
|---|---|---|
| 18 Sept 2026, 12:55 | 2,410 | -6 |
| 14 Sept 2026, 02:59 | 2,416 | -6 |
| 10 Sept 2026, 17:19 | 2,422 | -7 |
| 5 Sept 2026, 09:00 | 2,429 | +1 |
| 29 Aug 2026, 16:36 | 2,428 | -4 |
| 26 Aug 2026, 15:43 | 2,432 | +3 |
| 23 Aug 2026, 23:57 | 2,429 | -4 |
| 17 Aug 2026, 16:34 | 2,433 | -5 |
| 14 Aug 2026, 16:05 | 2,438 | -2 |
| 11 Aug 2026, 02:44 | 2,440 | -1 |
| 7 Aug 2026, 23:38 | 2,441 | +2 |
| 7 Aug 2026, 05:46 | 2,439 | first reading |
20 posts held, back to 18 April 2025 — 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.
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 27 July 2026. An engagement rate over an empty window would be a number about nothing.
76 reactions across 15 posts, in 8 distinct kinds. The most used accounts for 77.6% of them.
| Reaction | Count | Share | Share, drawn |
|---|---|---|---|
| ❤ | 59 | 77.6% | |
| 👍 | 10 | 13.2% | |
| 🌚 | 2 | 2.63% | |
| ⚡ | 1 | 1.32% | |
| ✍ | 1 | 1.32% | |
| ❤🔥 | 1 | 1.32% | |
| 🆒 | 1 | 1.32% | |
| 🔥 | 1 | 1.32% |
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 16 of the 20 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 76 reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.
Measured over the 20 most recent posts we hold, published 18 April 2025 to 27 July 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.
A brief mention of the important sample designs is as follows: 👍a. Deliberate sampling: Deliberate sampling is also known as purposive or non-probability sampling. This sampling method involves purposive or deliberate selection of particular units of the universe for constituting a sample which represents the universe. When population elements are selected for inclusion in the sample based on the ease of access, it c…
❤1🔥1
Identification of a Research Problem 🍏The following steps are to be followed in identifying a research problem; Step I Determining the field of research in which a researcher is keen to do the research work. Step II The researcher should develop the mastery on the area or it should be the field of his specialization. Step III He/She should review the research conducted in area to know the recent tre…
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The main characteristics of a good sample ✍️ A good sample is the true representative of the population corresponding to its properties. The population is known as aggregate of certain properties and sample is called sub-aggregate of the universe. ✍️A good sample is free from bias, the sample does not permit prejudices th65e learning and pre- conception, imaginations of the investigator to influence its choice. ✍️A g…
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Reliability and validity 🍎Reliability and validity are two key concepts in research methodology, particularly in the context of measuring instruments, such as surveys, tests, or questionnaires. They are used to assess the quality and rigor of a research study or measurement tool. ✍️Reliability 👍Reliability refers to the consistency and stability of a measure. A reliable instrument produces similar results under con…
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Classification of Research based on Application: 🍏a. Pure / Basic / Fundamental Research: As the term suggests a research activity taken up to look into some aspects of a problem or an issue for the first time is termed as basic or pure. It involves developing and testing theories and hypotheses that are intellectually challenging to the researcher but may or may not have practical application at the present time or…
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Research design 👍Research design is a comprehensive plan for data collection in an empirical research project. It is a “blueprint” for empirical research aimed at answering specific research questions or testing specific hypotheses, and must specify at least three processes: (1) the data collection process, (2) the instrument development process, and (3) the sampling process. 🍏Broadly speaking, data collection me…
❤4🌚1
Reliability and validity 🍎Reliability and validity are two key concepts in research methodology, particularly in the context of measuring instruments, such as surveys, tests, or questionnaires. They are used to assess the quality and rigor of a research study or measurement tool. ✍️Reliability 👍Reliability refers to the consistency and stability of a measure. A reliable instrument produces similar results under con…
❤1🌚1
The main characteristics of a good sample ✍️ A good sample is the true representative of the population corresponding to its properties. The population is known as aggregate of certain properties and sample is called sub-aggregate of the universe. ✍️A good sample is free from bias, the sample does not permit prejudices th65e learning and pre- conception, imaginations of the investigator to influence its choice. ✍️A g…
❤3
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🍎Panel logistic regression🍏 👍Panel logistic regression, also known as fixed-effects logistic regression or conditional logistic regression, is a statistical method used to analyze panel or longitudinal data where the dependent variable is binary (i.e., it takes on two possible values) and there are repeated observations on the same individuals over time. 👍Panel data refers to a dataset that contains observations on …
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Showing the 12 most recent of 20 posts we hold for @star_research_consultancy. 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.
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.
Named by 1 registered channel — 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.
Named by
Channels on the register whose posts name this channel's handle.
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.
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.
This channel appears in 2 seed channels' Telegram-generated recommendation lists in total. Each is Telegram’s list for THAT channel, not this one — see how this is measured.
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 18 September 2026 — this entry's latest reading, not the date you are reading this.
“Star Research (ስታር - ሪሰርች）” (@star_research_consultancy), 2,410 subscribers as measured 18 September 2026. Telegram Register, tgregister.com/channel/star_research_consultancy.
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.