Channel
@hakimpodcast
On this record: Growth · Engagement · What this channel posts · Reactions · Posts · Citations · Cite this entry
1,578subscribers
Risers and fallers across the register · movement among entries of 1,000–3,162.
| Telegram ID | -1002226549586 |
|---|---|
| Type | Channel |
| Username | @hakimpodcast |
| Description | Agar Podcast (አጋር), formerly Hakim Podcast. Exploring education, scholarships, funding, and career journeys across disciplines. |
| Created | Between 1 June 2024 and 21 September 2024 — estimated from Telegram’s id allocation, not measured. How this range is calculated. |
| First recorded | 12 November 2026 |
| Last confirmed live | 12 November 2026 |
| Measurements held | 1 |
| On Telegram | t.me/hakimpodcast |
Growth history is still building. We hold one measurement for this entry. A trend needs at least two, taken days apart — so this will fill in on its own rather than being estimated. We do not publish numbers we have not measured.
| Measured (UTC) | Subscribers | Change |
|---|---|---|
| 12 Nov 2026, 05:22 | 1,578 | first reading |
19 posts held, back to 21 September 2024 — 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.
ERR is average views per post over the last 30 days divided by subscribers, the definition TGStat uses, so this figure is comparable with the one you will see elsewhere. It falls structurally as a channel grows: a high ERR on a small channel and a low one on a large channel describe reach mathematics, not quality. We publish the figure and the sample it came from and pass no verdict on it.
ER is defined industry-wide as (forwards + reactions + comments) ÷ views — note the denominator is views, not subscribers. Telegram’s public web preview carries views and reactions but not forward or comment counts, so the reaction rate above is the reactions term only and is therefore a floor: the true ER for this channel is higher by an amount we have not measured and will not estimate. It is computed over the 5 of 7 measured posts that carry a reaction reading, and over those same posts' views.
| Window | Rolling 30 days · latest post in window 11 November 2026 |
|---|---|
| Posts held | 19 (21 September 2024 – 11 November 2026) |
| Views total | 18,404 |
| Reactions total | 26 |
| Forwards / comments | not exposed by the public surface — not measured, not estimated |
| Readings taken | 12 Nov 2026, 05:22 UTC |
Views are a single reading per post, taken at the time above. A post published in the last day or two is still accumulating views, which pulls the 30-day average down slightly. That is a property of the standard definition rather than a fault in it, so we keep the definition rather than “correcting” the number into something nobody can reproduce.
Precision. Telegram publishes view counts on its public widget in short form — 8.12K, 3.7M — so any reading at or above 1,000 reaches us rounded to three significant figures, and only counts below 1,000 are exact. Averages and rates derived from them are shown to the same precision rather than to the unit: a figure like 3,701,250 would assert digits nobody measured.
Reaction counts are published per emoji and rounded the same way, so a total below 1,000 is exact and a larger one is a sum that may carry a rounded component from each emoji above 1,000. Because it is a sum, it does not look rounded — read a large reaction total as three significant figures per contributing emoji rather than as the figure it prints.
Lifetime counters from Telegram’s own channel header, read 12 November 2026 — not the date at the top of this page, which is when the subscriber count was last read. Below Telegram’s rounding threshold, so these counts are exact.
98 reactions across 14 posts, in 3 distinct kinds. The most used accounts for 70.4% of them.
| Reaction | Count | Share | Share, drawn |
|---|---|---|---|
| ❤ | 69 | 70.4% | |
| 👍 | 25 | 25.5% | |
| 🔥 | 4 | 4.08% |
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 15 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 98 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 21 September 2024 to 11 November 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.
Telegram’s own ‘edited’ marker: 1 of 9 posts held from the last 30 days (11.1%) carried it when this register last read them. The marker says a post was changed after publishing, not what it said before — this register holds the earlier wording only where an edit fell between two of its own reads (see the edit ledger and how it is measured).
Dr. Yosef K. Habtemariam is a PGY-3 in Internal Medicine at John H. Stroger Hospital of Cook County in Chicago. He trained in Ethiopia, worked in Dubai, matched, and has just secured a hospitalist job before finishing residency. We discussed how the residency training is like, the choice between fellowship and a hospitalist job, how he found and negotiated that job, and the immigration decisions that run alongside a…
❤3
A new episode is up. Abenezer Bekele Geleta is a mechanical engineer. She earned her bachelor's and her master's at Mekelle University, taught at Mekelle and at Addis Ababa Science and Technology University, and worked on solar electrification projects before moving to Canada. She is now a PhD student at the Schulich School of Engineering, University of Calgary, working on solar thermal methane cracking for hydrogen …
A new episode with Ethiopia Lemma Yemiru. This one is for anyone applying for a scholarship, and it gives a different insight from what we have had before. Ethiopia studied in the United Kingdom on a Chevening scholarship, and she comes from a social science and arts background, not medicine. If you know someone with a social science background, this is the episode to send them. We already have a Chevening conversa…
❤2
📢 A quick community update! We’re going strong and adding to our archive of scholarship, education, and career journeys. This season, we’ll welcome more voices from beyond medicine! To make room for that wider community, Hakim Podcast…
❤17
Channel photo updated
Channel name was changed to «Agar Podcast»
Applications for the ADHA Fellowship in Digital Health & AI Leadership are now open. Cohort 01 is a founding cohort of 12 to 15 leaders who already carry digital health or AI decisions: in ministries, health bureaus, public-health institutes, hospitals, regulators, NGOs, and UN or donor offices. Scholarship positions are available. 👉 Apply now: adha.edu.et/en/apply/fellowship Know a leader who should be in this r…
3rd ROUND DOCTOR PLUS FREE ONBOARDING TRAINING CALL FEMALE HEALTHCARE PROFESSIONALS Are you a female medical doctor, nurse, health officer or physiotherapist ready to grow professionally, reach more patients, and unlock new financial opportunities? Join Doctor Plus and benefit from: - Financial empowerment & additional income opportunities - Access to more patients - Professional growth & networking - Flexible work…
Our weekend conversations continue, and this week we talked about applying for a PhD in public health in the United States. Dr. Tewodros Liyew, MD, MPH, is back on the channel, now a PhD candidate at Washington University in St. Louis. He took us through the application exactly as it stands this cycle: choosing programmes and supervisors, the first email to a supervisor, the statement of purpose, the letters, and ho…
❤4
In our latest Hakim Podcast episode, I spoke with Dr. Molla Kebede, who joined an Infectious Disease Fellowship at Tulane University directly from Ethiopia. His journey brings a unique perspective to our playlist. Thank you, Dr. Molla, for being generous with your time and sharing your journey. A special thank you to Dr. Tewodros Liyew for helping me arrange this conversation. Have a great Sunday! https://youtu.be…
❤5
Our weekend conversations continue, and this week we talked about a fully funded master's degree in Rwanda. Dr. Abel Asfaw is studying for the MSc in Global Health Delivery at the University of Global Health Equity in Butaro, Rwanda, on the One Health track. He finished medical school in Addis Ababa and chose health systems and global health instead of clinical residency. In this conversation he explains both the de…
❤7
Our weekend conversations continue, and this week we talked about practising medicine in New Zealand. Dr. Wondwesen Asmare Adane is an Ethiopian doctor, now a PGY-3 orthopaedic registrar in New Zealand, who finished a Master's in Clinical Research while working full time. It is the first conversation on this channel about New Zealand, and it covers the whole route, from the first exam to the first hospital job. Tha…
❤7
Showing the 12 most recent of 19 posts we hold for @hakimpodcast. 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.
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.
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.
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 12 November 2026 — this entry's latest reading, not the date you are reading this.
“Agar Podcast” (@hakimpodcast), 1,578 subscribers as measured 12 November 2026. Telegram Register, tgregister.com/channel/hakimpodcast.
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.