Telegram RegisterThe public register of Telegram

Channel

Draw it to know it

@Draw_know

On this record: Topic · Observations · Also posting the same content · Growth · Engagement · What this channel posts · Reactions · Posts · Citations · Handles named that no longer answer · Cite this entry

7,134subscribers

-20 since we began measuring on 6 August 2026

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

Register entry

Telegram ID-1001676346351
TypeChannel
Username@Draw_know
CreatedBetween 1 December 2021 and 2 December 2022— estimated from Telegram’s id allocation, not measured. How this range is calculated.
First recorded6 August 2026
Last confirmed live12 August 2026
Measurements held4
Confirmed unchanged1 time, most recently 12 August 2026
On Telegramt.me/Draw_know

Topic

Education — a classification, not a measurement. An on-box language model (Qwen3.6-35B-A3B-UD-Q6_K_XL, prompt version 1) read this channel’s own recent posts on 11 August 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.

Observations

These are measurements, not verdicts. Each one below states something we counted, alongside the evidence it was counted from, so you can check it rather than take it. None of them is graded: every observation this register holds is recorded at severity 0, because the precision of the detectors behind them has not been measured yet, and a rating we cannot support is worse than none. Read each as a fact about the data, not as a judgement about the channel. How we measure.

Content that also appears on other registered channels

Posts published here appear word for word on 6 other registered channels. They sit inside a group of 8 channels that share the same post bodies with each other. The matching is on the text itself, not on Telegram’s forward marker, so it finds a copy whether or not it was labelled as one.

Matching posts — open both and compare (6 of the pairs behind the counts below)
Posted firstThenOverlapGap
@FirstAid_Express/143910 Jan 2024, 14:55 UTC@Draw_know/938 · this entry10 Jan 2024, 14:55 UTC1.00under a minute
@Online_MedED/57010 Jan 2024, 14:55 UTC@Draw_know/938 · this entry10 Jan 2024, 14:55 UTC1.00under a minute
@Pathoma_Videos/86610 Jan 2024, 14:55 UTC@Draw_know/938 · this entry10 Jan 2024, 14:55 UTC1.00under a minute
@Essential_Anatomy/113310 Jan 2024, 14:55 UTC@Draw_know/938 · this entry10 Jan 2024, 14:55 UTC1.00under a minute
@Draw_know/938 · this entry10 Jan 2024, 14:55 UTC@Medi_C/11710 Jan 2024, 14:55 UTC1.00under a minute
@PhyseoStep1/98410 Jan 2024, 14:55 UTC@Draw_know/938 · this entry10 Jan 2024, 14:55 UTC1.00under a minute
Every channel this entry shares post bodies with
ChannelMatching postsText overlapTypical gapPublished first
@FirstAid_Express10 (8/8 hand-verifiable sample passed)1.00under a minute@FirstAid_Express (73)
@Online_MedED10 (8/8 hand-verifiable sample passed)1.00under a minute@Online_MedED (64)
@Pathoma_Videos10 (8/8 hand-verifiable sample passed)1.00under a minute@Pathoma_Videos (73)
@Essential_Anatomy10 (8/8 hand-verifiable sample passed)1.00under a minute@Essential_Anatomy (73)
@Medi_C6 (6/6 hand-verifiable sample passed)1.00under a minutethis entry (51)
@PhyseoStep110 (8/8 hand-verifiable sample passed)1.00under a minute@PhyseoStep1 (73)

Text overlap is the Jaccard coefficient over the set of distinct three-word phrases in the two bodies: 1.00 is identical wording, and the threshold for counting a pair at all is 0.70. Candidates are generated by simhash LSH (4 x 16-bit bands, exact Hamming <= 3) verified against the bodies with Jaccard over the SET of distinct 3-word shingles. Published first counts which side of each matching pair carries the earlier timestamp — in this corpus, which is the limitation directly below.

What this cannot establish

MEASURED, DOMINANT ERROR SOURCE: a post ingested before 2026-08-06 may have carried a forward header that was not recorded. A 45-pair hand-check against live t.me pages found 14 (31%) where the live page shows a forward header naming the other channel and the database has none, plus 4 more (9%) naming a third party. The text match itself was wrong 0 times out of 45. Read attribution_capture.items_in_trusted_window before treating the unattributed count as a claim.

Telegram lets a channel forward a post with a header naming the source, and we only began reliably recording that header on 2026-08-06. None of the 5 matches recorded here fall after that date, so for this entry we cannot say whether any of them carried a credit. The duplication is measured; the absence of attribution is not.

“Published first” means first in this corpus. We hold 12 comparable posts for this entry, running 2 December 2022 to 14 January 2025. A channel we have read one page deep will look younger than a neighbour we have read in full, and the order would flip with no change in the underlying facts.

The detector’s own notes on this observation, as it recorded them. Names in this_style are fields of the underlying evidence record, which the plain-English paragraphs above read out for this entry.

  • Verbatim republication has three causes and the text separates only two: a clone/mirror, unattributed copy-paste, or BOTH channels copying a common third source that neither attributes. The spread filter (content held by at most 8 channels) reduces the third and does not remove it.
  • 'Earliest' means earliest IN THIS CORPUS. A channel ingested one page deep will look younger than a neighbour ingested in full; corpus_coverage above is there to be checked before the direction is believed.
  • shared_verified_est extrapolates the sampled pass rate over the full narrow match count; sampled/passed are the numbers actually measured.
  • Absence of a forward header is not proof of intent: Telegram lets a channel disable forward attribution, and a credit written in the body is not parsed as attribution here (mention_edge_either_way above is the closest available signal).

Across the whole group of 8, the earliest publisher we hold is @FirstAid_Express. That is a statement about our reading window, not a claim of authorship.

Recorded under the keys clone_copy · clone_mutual · clone_source, last confirmed 7 August 2026. An observation that a later pass no longer finds is cleared, and a cleared observation is removed from this page rather than being shown struck through — we do not keep publishing a claim we have withdrawn. Dispute an observation.

Also posting the same content

This channel’s posts match, word for word or near enough, posts on 7 other registered channels, found by comparing text fingerprints across every channel on the register. That matching has been checked by hand against the live Telegram pages and found reliable — 0 wrong of 45 pairs re-read.

Which channel, if either, published first is deliberately not shown. The same hand-check found that reading wrong 18 of 45 times — 60%, no better than a coin flip — because it depends on how deep our own crawl happened to reach into each channel’s history, not on when the content was actually first posted. This list is ordered by subscriber count, the same as every other listing on this site, never by which channel we think came first. Word-for-word matching has several ordinary explanations besides copying — a channel mirroring itself, an unattributed repost, or two channels independently repeating the same wire story — and this measurement cannot tell those apart. How this is measured.

Growth

7,1347,1547,1446 August 2026 — 7,154 subscribers7 August 2026 — 7,154 subscribers9 August 2026 — 7,146 subscribers12 August 2026 — 7,134 subscribers6 August 202612 August 2026
4 measurements spanning 6 days, net -20. 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 7,131–7,157 and does not start at zero.
Measurement log — every subscribers count we have recorded
Measured (UTC)SubscribersChange
12 Aug 2026, 18:447,134-12
9 Aug 2026, 20:517,146-8
7 Aug 2026, 02:337,154no change
6 Aug 2026, 12:357,154first reading

Engagement

20 posts held, back to 2 December 2022the reader has not yet reached the start of this channel’s public history, so older posts may sit further back, unread. Read across 10 pagesof 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 14 January 2025. An engagement rate over an empty window would be a number about nothing.

What this channel posts

Video runtime
1h 07m
Average length
9m 42s

Measured directly from 7 videos with a duration reading, out of the posts we hold for this channel — not this channel’s whole posting history, only the sample this register has actually read. An exact reading to the second, taken from the post itself rather than from Telegram’s own rounded chrome, so it carries no mark.

Reaction mix

346 reactions across 18 posts, in 10 distinct kinds. The most used accounts for 28.0% of them.

Every reaction kind recorded on the sample, most used first
ReactionCountShareShare, drawn
👍9728.0%
🥰9226.6%
7722.3%
👏257.23%
🔥246.94%
🤩154.34%
😁61.73%
💅41.16%
👎30.867%
🤗30.867%

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 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 346reactions 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 2 December 2022 to 14 January 2025, 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

14 Jan 2025, 06:35 UTC≈2,310 views1 reactionsread 12 August 2026
Forwarded from @IMD_App

🚀NBME CMS Forms for Step2 CK ! We are thrilled to announce that the latest NBME Self-Assessments for Subjects Exam have been added to our app! 🌟 Including: 🔹 Clinical Neurology Self-Assessment - Form 8 🔹 Clinical Psychiatry Self-Assessment - Form 7 🔹 Clinical Ob-Gyn Self-Assessment - Form 8 🔹 Clinical Emergency Medicine Self-Assessment - Form 3 🔹 Clinical Medicine Self-Assessment - Form 8 🔹 Clinical Pediatrics Self

👍1

12 Jan 2025, 18:20 UTC≈2,020 views2 reactionsread 12 August 2026
Forwarded from @IMD_AppPhoto

📢 AMC Aspirants! 📢 We’ve added Amedex and MPlusX Qbanks 2025 to the app! 🔹 Amedex: Now with 1,463 expertly crafted questions for your exam preparation. 🔹 MPlusX: Boost your studies with 5,281 new questions tailored for the AMC exam. Enhance your prep and ace your exams with these comprehensive question banks! 💪 iMD Databases | Features | Buying | Usage 💳Get all databases at just 40$/year 💳Pay with your local cur

1🔥1

22 Dec 2024, 12:03 UTC≈2,160 views4 reactionsread 12 August 2026
Forwarded from @IMD_App

🔹Inbox @Moheb for Databases (iMD) ✅QBanks: ➖UWORLD Qbanks 2024 ➖UWORLD Ready Decks flashcards ➖CanadaQbank 2024 ➖AceQBank 2024 ➖USMLE-Rx Qbanks 2023 ➖NBME Self assessments 2023 ➖BoardVitals Qbanks 2023 ➖BMJ OnExamination Qbanks 2023 ➖RADPrimer Lessons & Qbank 2023 ➖AMEDEX Qbank 2023 ➖MPlusX Qbank 2023 ➖PassMedicine Qbanks 2023 ➖PrometricMCQ Qbanks 2023 ➖TrueLearn Qbanks 2023 📺Video Training & Lectures: ➖Boards and

2🔥1🥰1

1 Nov 2024, 09:57 UTC≈2,320 views1 reactionsread 12 August 2026
Forwarded from @IMD_AppPhoto

🔹"UWorld Ready Decks flashcards, updated till Oct 2024, have been added to the app." Including ✅Ready Decks USMLE Step1 : 2180 flash cards ✅Ready Decks USMLE Step2 : 2684 flash cards ✔️The format of these flash cards is like other QBanks and it is possible to create blocks with different filters. iMD Databases | Features | Buying | Usage 💳Get all databases at just 40$/year 💳Pay with your local currency 💳Contact:

1

27 Sept 2024, 15:33 UTC≈2,660 views1 reactionsread 12 August 2026
Forwarded from @IMD_AppPhoto

🔺UWorld Qbanks updated till Sep 2024 have been added to the app Including: 🔹️ USMLE STEP1 QBank 🔹️ USMLE STEP1 Self Assessment Simulation 1 🔹️ USMLE STEP1 Self Assessment Simulation 2 🔹️ USMLE STEP1 Self Assessment Simulation 3 🔹️ USMLE STEP2 QBank 🔹️ USMLE STEP2 Self Assessment Simulation 1 🔹️ USMLE STEP2 Self Assessment Simulation 2 🔹️ USMLE STEP2 Self Assessment Simulation 3 🔹️ USMLE STEP3 QBank 🔹️ USMLE STEP3

👍1

15 Jul 2024, 05:19 UTC≈3,240 views3 reactionsread 12 August 2026
Forwarded from @IMD_AppPhoto

🚀Unlock the Latest: UWorld July 2024 Updates added to the app! Number of Questions: ➖USMLE STEP1 QBank: 3643 ➖USMLE STEP2 QBank: 4090 ➖USMLE STEP3 QBank: 1975 ➖ABFM QBank: 1153 ➖ABIM QBank: 1244 ➖MCAT QBank: 3051 ➖Clinical QBank: 1477 ➖SAT QBank: 918 ➖PA (PANCE, PANRE): 2029 ➖NAPLEX QBank: 4225 ➖UKMLA QBank: 1737 ❓ How UWorld works inside the app 📌Few tips about july 2024 update iMD Databases | Features | Buying

2🥰1

27 Jun 2024, 17:05 UTC≈3,210 viewsread 12 August 2026
Forwarded from @IMD_AppPhoto

🔹 Boards and Beyond videos updated till June 2024 have been added to the app. Including : 👉 Boards And Beyond - USMLE Step 1 Videos - 2024 👉 Boards And Beyond - USMLE Step 2-3 Videos - 2024 ✅ Unlike last year's version, all videos have English subtitles. iMD Databases | Features | Buying | Usage 💳Pay with your local currency 💳Contact: @AhmadMoheb

8 Jun 2024, 08:16 UTC≈3,440 views1 reactionsread 12 August 2026
Forwarded from @IMD_AppPhoto

✔️AceQBank - MCCQE1 - 2024 databases have been added to the app Including: ➖MCCQE Part I QBank ( 2730 Questions ) ➖MCCQE Self Assessment1 ( 120 Questions) ➖MCCQE Self Assessment2 ( 120 Questions) How QBanks work inside the app❓ iMD Databases | Features | Buying | Usage 💳Get all databases at just 40$/year 💳Pay with your local currency 💳Contact: @AhmadMoheb

1

8 Apr 2024, 09:46 UTC≈4,300 views1 reactionsread 12 August 2026
Forwarded from @IMD_AppPhoto

🔹CanadaQbanks 2024 have been added to the app Containing: ✔️QBank for the USMLE Step1 ✔️QBank for the USMLE Step2 CK ✔️QBank for the AMC MCQ ✔️QBank for the MCCQE1 MCQ ✔️QBank for the PLAB ✔️QBank for the SMLE ✔️QBank for the RCSFE ⭕️ To see the latest databases, refer to the downloads page inside the program. iMD Databases | Features | Buying | Usage 💳Get all databases at just 40$/year 💳Pay with your local curre

👍1

10 Jan 2024, 14:55 UTC≈12,600 views10 reactionsread 12 August 2026

🔹Best Medical Collection: 🔸USMLE Study Materials @U_SMLE 🔸Boards and Beyond 2023 @Boards_Beyond 🔸Pathoma Videos @Pathoma_Videos 🔸Osmosis 2023 Videos & Pdfs @JustOsmosis @Osmsis 🔸UWORLD Qbanks @UWorld2023 🔸AMBOSS Qbanks @Amb_oss 🔸Pixorize Videos @PixorizeVideo 🔸Armando Videos @Armando_medical_videos 🔸USMLE RX Step1 Videos @RxStep1 🔸FirstAid Express Videos @FirstAid_express 🔸NBME SA Forms @NB_ME 🔸PHYSEO Step1 Videos @

👍73

2 Dec 2022, 18:42 UTC≈44,900 views274 reactionsread 12 August 2026

List of contents: Anatomy (#GrossAnatomy) #HistologyBasics #Cell_and_Cellular_Physiology #CardiovascularSystem #EarlyEmbryonicDevelopment #RespiratorySystem #GastrointestinalSystem #SkeletalSystem #Joints #Renal #EndocrineSystem #MuscularSystem #CardiovascularSystem #Reproductive #MusculoskeletalSystem #RespiratorySystem #Neuroscience #Nephrology #Immunology #NervousSystem #ReproductiveSystem #SpcialSenses -------

🥰90👍5852👏25🔥18🤩15😁6💅4

Showing the 12 most recent of 20 posts we hold for @Draw_know. 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.

Citation-graph rank

Citation-graph rank — 967,246 of 1,151,006entries in the measured graph. A weighted position computed from the forward and mention edges below — republished posts weigh more than named mentions — and recomputed periodically, over the whole graph. Published only as this ordinal position, never as a score: a position is a fact, and a score printed beside one channel’s name would read as a verdict this register does not make. The two counts beneath stay separate for the same reason mentions are never summed with forwards anywhere else on this page — a named-by count costs nothing to manufacture. The top 100 by this measure, or how it is computed.

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 7 registered channels — 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.

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

“Draw it to know it” (@Draw_know), 7,134 subscribers as measured 12 August 2026. Telegram Register, tgregister.com/channel/Draw_know.

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.