Channel
@MihrThakar
On this record: Topic · Growth · Engagement · Posts · Telegram's recommendations · Cite this entry
2,631subscribers
-16 since we began measuring on 7 August 2026
Risers and fallers across the register · movement among entries of 1,000–3,162.
| Telegram ID | -1001766373519 |
|---|---|
| Type | Channel |
| Username | @MihrThakar |
| 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 | 17 September 2026 |
| Measurements held | 12 |
| Confirmed unchanged | 1 time, most recently 17 September 2026 |
| On Telegram | t.me/MihrThakar |
Science — 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 69% 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 |
|---|---|---|
| 17 Sept 2026, 11:36 | 2,631 | -5 |
| 13 Sept 2026, 02:56 | 2,636 | -1 |
| 9 Sept 2026, 11:39 | 2,637 | -1 |
| 4 Sept 2026, 03:41 | 2,638 | +3 |
| 31 Aug 2026, 14:54 | 2,635 | -3 |
| 29 Aug 2026, 01:16 | 2,638 | -1 |
| 26 Aug 2026, 05:32 | 2,639 | -3 |
| 23 Aug 2026, 12:18 | 2,642 | -3 |
| 20 Aug 2026, 05:45 | 2,645 | +1 |
| 10 Aug 2026, 13:41 | 2,644 | -2 |
| 7 Aug 2026, 18:47 | 2,646 | -1 |
| 7 Aug 2026, 09:46 | 2,647 | first reading |
18 posts held, back to 19 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 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 18 posts for this entry, the most recent from 7 August 2026. An engagement rate over an empty window would be a number about nothing.
Over the last two decades, the world has cut down forests at a rate of roughly one Costa Rica per year. The largest driver of deforestation has been the expansion of agriculture. Beef was the largest driver, accounting for 41% of the total. Cattle need a lot of grazing land.
Cities have grown from roughly 10% of Nigeria's population in 1950 to about 50% today.
Transport was Kenya's biggest inflation hotspot, surging 15.6% year-on-year, far above the overall inflation rate of 6.5%.
Gold gained an impressive 42% in 2025 as investors sought safety and central banks continued accumulating reserves. By late March 2026, prices remain volatile, caught between rising geopolitical risks and tighter global financial conditions.
For most of history, 60–75% of people worked the land. Today, in rich economies, it's under 5%. Prosperity doesn't come from employing more farmers, it comes from making each farmer vastly more productive.
East Africa's economic and demographic centre of gravity may be shifting south. Dar es Salaam is projected to approach 20 million people by 2100, while Nairobi and Kampala plateau at around 10 million.
The 2026 Strait of Hormuz crisis disrupted about 14 million barrels of oil a day, roughly 14 times the peak supply loss after Russia's invasion of Ukraine, yet oil futures prices rose far less than they did in 2022.
High-income countries have roughly ten times as many doctors per person as low-income countries. For context, Kenya has only 0.26 doctors per 1,000 people, far below the global average.
Kenya has a relatively low number of dependents per working-age adult compared with other EAC countries, while Somalia and the DRC carry some of the heaviest demographic burdens in the region.
China's exports are being driven by high-tech products. Sales of electronics and advanced machinery jumped as global demand for AI-related technology grew.
Extreme poverty has effectively been eliminated in China. The standard now used is higher, at $8.30 a day. Even by this measure, poverty is falling.
Rwanda’s government effectively controls 99.9% of its territory. Tanzania controls 97.8%. Kenya stands at 86.2%
Showing the 12 most recent of 18 posts we hold for @MihrThakar. 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.
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 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.
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 17 September 2026 — this entry's latest reading, not the date you are reading this.
“Mihr Thakar” (@MihrThakar), 2,631 subscribers as measured 17 September 2026. Telegram Register, tgregister.com/channel/MihrThakar.
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.