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Channel

Hematology Updates

@Haematology_Updates

On this record: Growth · Engagement · Reactions · Posts · Telegram's recommendations · Cite this entry

6,829subscribers

+97 since we began measuring on 7 August 2026

Risers and fallers across the register · movement among entries of 3,162–10,000.

Register entry

Telegram ID-1001287927041
TypeChannel
Username@Haematology_Updates
CreatedBetween 1 April 2018 and 31 July 2021— estimated from Telegram’s id allocation, not measured. How this range is calculated.
First recorded7 August 2026
Last confirmed live29 August 2026
Measurements held10
Confirmed unchanged1 time, most recently 29 August 2026
On Telegramt.me/Haematology_Updates

Growth

6,7326,8296,780.57 August 2026 — 6,732 subscribers7 August 2026 — 6,732 subscribers7 August 2026 — 6,733 subscribers10 August 2026 — 6,743 subscribers14 August 2026 — 6,765 subscribers17 August 2026 — 6,773 subscribers20 August 2026 — 6,785 subscribers24 August 2026 — 6,803 subscribers27 August 2026 — 6,814 subscribers29 August 2026 — 6,829 subscribers7 August 202629 August 2026
10 measurements spanning 22 days, net +97. 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 6,717–6,844 and does not start at zero.
Measurement log — every subscribers count we have recorded
Measured (UTC)SubscribersChange
29 Aug 2026, 16:366,829+15
27 Aug 2026, 02:066,814+11
24 Aug 2026, 01:146,803+18
20 Aug 2026, 03:386,785+12
17 Aug 2026, 10:146,773+8
14 Aug 2026, 02:356,765+22
10 Aug 2026, 13:256,743+10
7 Aug 2026, 15:166,733+1
7 Aug 2026, 13:026,732no change
7 Aug 2026, 12:496,732first reading

Engagement

29 posts held, back to 24 July 2026the reader has not yet reached the start of this channel’s public history, so older posts may sit further back, unread. Read across 11 pagesof Telegram’s post history, 20 posts per page.

ERR · 30 days
7.01%
avg views ÷ 6,829 subscribers
Avg views / post
479
13 posts measured
Reaction rate
0.196%
reactions ÷ views · ER floor
Posts in window
13
of 29 held

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 2 of 13 measured posts that carry a reaction reading, and over those same posts' views.

What these figures were computed from
WindowRolling 30 days · latest post in window 19 August 2026
Posts held29 (24 July 202619 August 2026)
Views total6,227
Reactions total1
Forwards / commentsnot exposed by the public surface — not measured, not estimated
Readings taken20 Aug 2026, 04:28 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.

Reaction mix

1 reaction across 1 post, in 1 kind.

Every reaction kind recorded on the sample, most used first
ReactionCountShareShare, drawn
1100.0%

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 3 of the 29 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 1reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.

Measured over the 29 most recent posts we hold, published 24 July 2026 to 19 August 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

19 Aug 2026, 16:41 UTC101 views0 reactionsread 20 August 2026

A novel role for transcription factor NFE2 in redox regulation and chemotherapy resistance in acute myeloid leukemia https://www.nature.com/articles/s41375-026-03095-x

18 Aug 2026, 14:16 UTC254 viewsread 20 August 2026

Immunotherapeutic targeting of calreticulin mutant myeloproliferative neoplasms https://www.nature.com/articles/s41375-026-03115-w

13 Aug 2026, 11:50 UTC554 viewsread 20 August 2026

A role for the protease MALT1 in EBV-mediated B-cell transformation by Latent Membrane Proteins 1 and 2 https://www.nature.com/articles/s41375-026-03109-8

13 Aug 2026, 11:49 UTC462 viewsread 20 August 2026

Clinical outcomes of newly diagnosed myeloma patients with SLIM criteria : a subgroup analysis of the CASSIOPEIA study https://www.nature.com/articles/s41375-026-03094-y

12 Aug 2026, 16:21 UTC416 viewsread 20 August 2026

Clonal hematopoiesis related to ionizing radiation in atomic bomb survivors https://www.nature.com/articles/s41375-026-03101-2

12 Aug 2026, 16:20 UTC380 viewsread 20 August 2026

Do FLT3 and KIR3DL1 converge on a common immune surveillance axis in treatment-free remission of chronic myeloid leukemia? https://www.nature.com/articles/s41375-026-03113-y

11 Aug 2026, 12:22 UTC409 views1 reactionsread 20 August 2026

USP8 controls proteostasis pathways in B cells and multiple myeloma https://www.nature.com/articles/s41375-026-03086-y

1

11 Aug 2026, 12:21 UTC421 viewsread 20 August 2026

Real-world patterns of treatment intensity and prognostic model performance in older acute myeloid leukemia: insights from the French ALFA-PPP Cohort https://www.nature.com/articles/s41375-026-03110-1

10 Aug 2026, 07:12 UTC499 viewsread 20 August 2026

Correction: CD7 chimeric antigen receptor T cells in patients with relapsed or refractory CD7-positive acute myeloid leukemia https://www.nature.com/articles/s41375-026-03091-1

6 Aug 2026, 23:47 UTC708 viewsread 20 August 2026

SLF2 and SMC5 dysfunction drives HSC aging and predisposes to MDS, defining a new inherited bone marrow failure syndrome https://www.nature.com/articles/s41375-026-03061-7

5 Aug 2026, 10:36 UTC714 viewsread 20 August 2026

Multilineage lymphoid clonal hematopoiesis: a cross-sectional, correlative analysis of plasma cell dyscrasias and large granular lymphocytic leukemia https://www.nature.com/articles/s41375-026-03071-5

3 Aug 2026, 13:36 UTC686 viewsread 20 August 2026

Endoplasmic reticulum stress promotes leukemic plasmacytoid dendritic cell differentiation skewing and immune suppression in acute myeloid leukemia https://www.nature.com/articles/s41375-026-03080-4

Showing the 12 most recent of 29 posts we hold for @Haematology_Updates. 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.

Appears in Telegram’s recommendations for other channels

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.

Clinical Practice guidelines
@ClinicalPharmGuideline · 60,088
Telegram ranks this channel #21 of 78 here — alongside 77 others — read 22 August 2026
UPDATES IN MEDICINE
@Updates_in_Medicine · 47,247
Telegram ranks this channel #24 of 74 here — alongside 73 others — read 26 August 2026
Internal Medicine Videos & books
@medicinevideoss · 103,362
Telegram ranks this channel #47 of 75 here — alongside 74 others — read 26 August 2026
Medical Books
@MedicalBooksStoreA · 41,803
Telegram ranks this channel #64 of 67 here — alongside 66 others — read 29 August 2026
Polite Doctor🩺
@skills_first · 42,190
Telegram ranks this channel #66 of 73 here — alongside 72 others — read 29 August 2026

This channel appears in 5 seed channels' Telegram-generated recommendation lists in total. Each is Telegram’s list for THAT channel, not this one — see how this is measured.

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 29 August 2026 — this entry's latest reading, not the date you are reading this.

“Hematology Updates” (@Haematology_Updates), 6,829 subscribers as measured 29 August 2026. Telegram Register, tgregister.com/channel/Haematology_Updates.

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.