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Channel

Forensic Field

@forensicfield

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

2,648subscribers

+20 since we began measuring on 7 August 2026

Risers and fallers across the register · movement among entries of 1,000–3,162.

Register entry

Telegram ID-1001180864541
TypeChannel
Username@forensicfield
CreatedBetween 1 March 2018 and 31 July 2021 — estimated from Telegram’s id allocation, not measured. How this range is calculated.
First recorded7 August 2026
Last confirmed live9 September 2026
Measurements held12
Confirmed unchanged1 time, most recently 9 September 2026
On Telegramt.me/forensicfield

Growth

2,6272,6482,637.57 August 2026 — 2,628 subscribers7 August 2026 — 2,628 subscribers8 August 2026 — 2,627 subscribers11 August 2026 — 2,630 subscribers15 August 2026 — 2,631 subscribers18 August 2026 — 2,636 subscribers22 August 2026 — 2,637 subscribers25 August 2026 — 2,635 subscribers28 August 2026 — 2,639 subscribers31 August 2026 — 2,636 subscribers3 September 2026 — 2,640 subscribers9 September 2026 — 2,648 subscribers7 August 20269 September 2026
12 measurements spanning 32 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 2,624–2,651 and does not start at zero.
Measurement log — every subscribers count we have recorded
Measured (UTC)SubscribersChange
9 Sept 2026, 00:362,648+8
3 Sept 2026, 12:152,640+4
31 Aug 2026, 05:032,636-3
28 Aug 2026, 11:352,639+4
25 Aug 2026, 13:542,635-2
22 Aug 2026, 11:472,637+1
18 Aug 2026, 18:492,636+5
15 Aug 2026, 08:132,631+1
11 Aug 2026, 23:422,630+3
8 Aug 2026, 17:382,627-1
7 Aug 2026, 21:162,628no change
7 Aug 2026, 21:092,628first reading

Engagement

20 posts held, back to 15 June 2026the 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 20 posts for this entry, the most recent from 23 July 2026. An engagement rate over an empty window would be a number about nothing.

Reaction mix

4 reactions across 3 posts, in 1 kind.

Every reaction kind recorded on the sample, most used first
ReactionCountShareShare, drawn
4100.0%

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 5 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 4 reactions 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 15 June 2026 to 23 July 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

15 Jul 2026, 20:34 UTC751 viewsread 7 August 2026

https://forensicfield.blog/forensic-science-e-magazine-vol-23/

10 Jul 2026, 08:40 UTC780 views2 reactionsread 7 August 2026

Types of Fingerprints Patent fingerprints — visible prints left on a smooth surface. Plastic fingerprints — indentations left in a soft material. Latent fingerprints — hidden prints left by the transfer of oils or other body secretions. Latent fingerprints can be made visible by dusting with powder or via chemical reaction.

2

5 Jul 2026, 10:49 UTC881 viewsread 7 August 2026

https://youtube.com/shorts/49gQpTViJuM?si=bLY5fcB5Le867CND

1 Jul 2026, 18:13 UTC947 viewsread 7 August 2026

https://forensicarticles.com/the-art-and-science-of-identifying-evidence-from-scene-photographs/

1 Jul 2026, 16:51 UTC821 viewsread 7 August 2026

After successfully completing our Forensic Toxicology course, it's time for the next learning journey! Which forensic course would you like us to start next to help strengthen your concepts? Vote for your preferred topic in the poll. The course with the most votes will be launched first! Your choice will help shape our next course.

1 Jul 2026, 16:51 UTC744 viewsread 7 August 2026
Poll

Which topic would you like to learn next?

  1. Crime Scene Investigation37%
  2. Forensic Science (Fundamental)27%
  3. Fingerprint21%
  4. Questioned Document15%

Shares as published. No per-option vote count is published by Telegram, so none is shown.

28 Jun 2026, 08:13 UTC767 views1 reactionsread 7 August 2026

Stories of dead bodies moving in morgues have fascinated people for centuries. Horror movies often depict corpses suddenly sitting up, opening their eyes, or even walking. These scenes have fueled myths and misconceptions about what happens after death. But what does science say? Read More about it: https://forensicarticles.com/the-science-behind-postmortem-movement/ #postmortem #deadbody #science #morgues #crimes

1

27 Jun 2026, 19:28 UTC657 viewsread 7 August 2026

The post discusses the significance of everyday cosmetics, such as lipstick marks, foundation transfers, and nail polish chips, as valuable forensic evidence in crime investigations. These seemingly trivial cosmetic residues can help establish connections between individuals, reconstruct events, and sometimes identify suspects. It explores various cosmetic traces that can be used in forensic science, highlighting tra

25 Jun 2026, 20:21 UTC542 viewsread 7 August 2026
Photo

https://forensicarticles.com/forensic-blood-examination-presumptive-confirmatory-species-determination-and-grouping-tests/

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

Polls

The poll we hold for this entry, as Telegram rendered it when we read the post. A poll’s figures keep moving after that, so each one is dated.

1 Jul 2026, 16:51 UTCAnonymous Poll89 voters

Which topic would you like to learn next?

  1. Crime Scene Investigation37%
  2. Forensic Science (Fundamental)27%
  3. Fingerprint21%
  4. Questioned Document15%

Shares as published. No per-option vote count is published by Telegram, so none is shown.

Percentages only — there are no per-option vote counts here, because Telegram publishes none. The public post preview gives each option’s share and a single voter total, and nothing else. Multiplying one by the other would produce a per-option tally that looks measured and is not: the shares are rounded to whole numbers before we ever see them. We print what was published and leave the column that does not exist empty.

The shares need not add up to 100. Rounding alone puts many polls at 99 or 101. A poll that allows more than one answer per voter runs well past 100 by design, and several here do. The bars are drawn against a fixed 100% track at each option’s own percentage rather than normalised to the total, so a poll that exceeds it shows that it does instead of being quietly rescaled.

Read from the 20 most recent posts we hold, published 15 June 2026 to 23 July 2026. Telegram labels each poll by kind — an anonymous poll, a quiz, a closed set of final results — and that label is reproduced rather than paraphrased.

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.

HD & 4K Anime Wallpapers
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Telegram ranks this channel #40 of 47 here — alongside 46 others — read 22 August 2026
UdyogaDeepa.net Karnataka Jobs Update - ಉದ್ಯೋಗ ದೀಪ
@UdyogaDeepa · 31,869
Telegram ranks this channel #44 of 50 here — alongside 49 others — read 5 September 2026
Banking by Rojgar With Ankit™🎖️
@bankingbyrojgarwithAnkit · 58,941
Telegram ranks this channel #48 of 49 here — alongside 48 others — read 22 August 2026

This channel appears in 3 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 9 September 2026 — this entry's latest reading, not the date you are reading this.

“Forensic Field” (@forensicfield), 2,648 subscribers as measured 9 September 2026. Telegram Register, tgregister.com/channel/forensicfield.

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.