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Channel

CDI Report LINK

@cdixreport

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

43subscribers

-2,729 since we began measuring on 10 September 2026

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

Register entry

Telegram ID-1003975653288
TypeChannel
Username@cdixreport
CreatedBetween 1 April 2026 and 23 August 2026 — estimated from Telegram’s id allocation, not measured. How this range is calculated.
First recorded10 September 2026
Last confirmed live5 November 2026
Measurements held12
Confirmed unchanged1 time, most recently 5 November 2026
On Telegramt.me/cdixreport

Topic

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 1 October 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 the other topics.

Growth

183,4661,74210 September 2026 — 2,772 subscribers10 September 2026 — 2,772 subscribers12 September 2026 — 2,783 subscribers16 September 2026 — 2,787 subscribers30 September 2026 — 3,102 subscribers7 October 2026 — 18 subscribers14 October 2026 — 26 subscribers20 October 2026 — 3,390 subscribers23 October 2026 — 3,369 subscribers27 October 2026 — 3,466 subscribers29 October 2026 — 32 subscribers5 November 2026 — 43 subscribers4310 September 20265 November 2026
12 measurements spanning 56 days, net -2,729. 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”.
Measurement log — every subscribers count we have recorded
Measured (UTC)SubscribersChange
5 Nov 2026, 20:2843+11
29 Oct 2026, 23:1532-3,434
27 Oct 2026, 01:073,466+97
23 Oct 2026, 23:313,369-21
20 Oct 2026, 17:513,390+3,364
14 Oct 2026, 14:5726+8
7 Oct 2026, 22:5618-3,084
30 Sept 2026, 23:223,102+315
16 Sept 2026, 05:172,787+4
12 Sept 2026, 16:212,783+11
10 Sept 2026, 18:222,772no change
10 Sept 2026, 17:472,772first reading

Engagement

19 posts held, back to 23 August 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 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 19 posts for this entry, the most recent from 9 September 2026. An engagement rate over an empty window would be a number about nothing.

Reaction mix

159 reactions across 19 posts, in 10 distinct kinds. The most used accounts for 31.4% of them.

Every reaction kind recorded on the sample, most used first
ReactionCountShareShare, drawn
❤5031.4%
🔥3924.5%
😱3119.5%
💯127.55%
👨‍💻106.29%
🤯74.40%
❤‍🔥42.52%
🍓21.26%
🏆21.26%
👀21.26%

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 19 of the 19 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 159 reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.

Measured over the 19 most recent posts we hold, published 23 August 2026 to 9 September 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

9 Sept 2026, 12:15 UTC652 views5 reactionsread 10 September 2026

If you took the exam on 5-9 September, please report your questions to @ieltsx_admin.

💯3🔥2

9 Sept 2026, 11:53 UTC712 views5 reactionsread 10 September 2026
Photo

📅 4.9.2026 ✍️ Writing: Task 1: Table showing age groups 18-35 and 36+ completing marathons across different years (2007-2010). Task 2: Individuals can do nothing to improve the environment; only governments and large companies can make a difference. To what extent do you agree or disagree? 🗣 Speaking: Part 1: Hometown Area you live in Part 2: Describe a time you took photos with your friend Part 3: Related to part …

🔥3🤯2

9 Sept 2026, 09:19 UTC737 views6 reactionsread 10 September 2026
Photo

Yana ieltsx.com dagi Weekly Writing Prediction dan tushibdi 😶‍🌫️

👀2🔥2❤1👨‍💻1

8 Sept 2026, 17:44 UTC927 views4 reactionsread 10 September 2026
Photo

📅 7.09 | Ferghana | ▫️▫️ 📖 Reading: Passage 1: A much-traveled vegetable - not the ones online Passage 2: Why don’t we sleep Passage 3: Fruits of the forest - new version of this passage 'The Fruit Book' ✍️ Writing: Task 1: The charts compare the percentages of male and female students interested in five subjects (arts, maths, sciences, languages, and humanities) in Parston school and their national average. There…

❤4

5 Sept 2026, 16:00 UTC≈1,440 views11 reactionsread 10 September 2026
Photo

🗓 4.09.2026 | IELTS school (Navai) 📖 Reading: Passage 3: Rights for apes 🎧 Listening: Part 1: School art competition Part 4: What impact does Marc Prensky believe that digital technology has had on young people? ✍️ Writing: Task 1: The graph below shows information about number of birth and death in one European country's population between 1950, the present and predictions made for 2050 Task 2: Some people think …

😱5❤3👨‍💻2🏆1

5 Sept 2026, 06:40 UTC≈1,400 views4 reactionsread 10 September 2026

🗓 4 - September 🗣️ Speaking: Part 1: Do u like fruits and vegetables? Why/Why not? How often you eat fruits and vegetables? Do people in countries grow fruits and vegetables a lot? Are you good at remembering people's names? What do you do to not to forget people's names? How do you feel when someone forgets your name? There was one more question I can't remember it but I replied (because I don't want them feel to …

😱3❤1

5 Sept 2026, 06:33 UTC≈1,310 views8 reactionsread 10 September 2026
Photo

📅 4 - September | Tashkent | ▫️▫️ 📖 Reading: Passage 1: about dolls Passage 2: about sportswear Passage 3: about desertification - new not same with P2 'Desertification' 🎧 Listening: Part 4: about birds ✍️ Writing: Task 1: bar chart about how many homes that are 5 million dollars or more sold in eight different countries in 2009 and 2014 Task 2: Many animals are in danger of extinction. Some people think that gove…

❤3😱3👨‍💻1🔥1

3 Sept 2026, 18:13 UTC≈1,390 views16 reactionsread 10 September 2026
Photo

🗓 1 - September 📖 Reading: Passage 1: Text with a difficulty level similar to a Passage 2 text. Innovation of the spinning jenny machine used for making clothes, including the opinions of about 4-5 scientists. This passage 1 is super rare, all version you find online are fake You can read this article to understand more about topic of passage: https://ieltsx.com/articles/the-spinning-jenny Passage 2: Placebo Effe…

😱8❤4🔥3🍓1

3 Sept 2026, 13:37 UTC≈1,280 views5 reactionsread 10 September 2026

Uploaded weekly Writing and Speaking Predictions https://t.me/ieltsxuz/1405 https://t.me/ieltsxuz/1393

👨‍💻2🔥2🏆1

30 Aug 2026, 15:43 UTC≈2,190 views15 reactionsread 10 September 2026
Photo

📅 30 - August | Mirzo Ulug'bek |▫️▫️ 📖 Reading: Passage 1: Life in the desert - rare, might send some preview, if there is enough reactions Passage 2: Playcentre - rare Passage 3: Seeing the colour of sounds, hearing the colour of numbers ✍️ Writing: Task 1: Sales of houses sold for more than 5 million $ in 8 cities. Task 2: Nowadays, not enough students choose science subjects at university in many countries. Why…

🔥7❤3🤯3❤‍🔥1👨‍💻1

30 Aug 2026, 15:35 UTC≈1,650 views4 reactionsread 10 September 2026

📅 30 - August 📖 Reading: Passage 1: Included a picture of a sewing machine, specifically about James Hargreaves and the Spinning Jenny. - super rare You can read article specifically designed to explain the topic - ieltsx.com/articles/the-spinning-jenny Passage 2: About how young children show sympathy. Passage 3: About fish. - Pack 5 Test 7 🎧 Listening: Part 3: Greater flexibility for employees (B variant) and a …

💯2❤1🔥1

30 Aug 2026, 09:30 UTC≈1,540 views10 reactionsread 10 September 2026
Photo

📅 29.08 | Bukhara | Zarmed university 📖 Reading: Passage 1: Online doctors - New passage Passage 2: Applause - Pack 6 Test 1 Passage 3: Contradictions on tourism - coming in Pack 8 ✍️ Writing: Task 1: The bar chart shows the percentage of the total world population in four countries in 1950 and 2003, with projections for 2050. Task 2: Nowadays more and more people want to get things done instantly (services, inform…

❤4🔥3💯2👨‍💻1

Showing the 12 most recent of 19 posts we hold for @cdixreport. 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

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.

Mentions

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.

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.

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 5 November 2026 — this entry's latest reading, not the date you are reading this.

“CDI Report LINK” (@cdixreport), 43 subscribers as measured 5 November 2026. Telegram Register, tgregister.com/channel/cdixreport.

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.