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Channel

Bloomberg Law

@bloomberglaw

Verified by Telegram

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

7,871subscribers

-143 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-1001290736983
TypeChannel
Username@bloomberglaw
Created28 April 2020measured — cross-checked against a third-party dataset (ext.tg_channel)
First recorded6 August 2026
Last confirmed live17 September 2026
Measurements held14
Confirmed unchanged1 time, most recently 17 September 2026
On Telegramt.me/bloomberglaw

Topic

Other / unclassifiable — 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 12 September 2026 and assigned it the closest of 31 fixed categories, at 91% 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.

Growth

7,8718,0247,947.56 August 2026 — 8,014 subscribers7 August 2026 — 8,024 subscribers10 August 2026 — 8,006 subscribers13 August 2026 — 7,995 subscribers16 August 2026 — 7,994 subscribers19 August 2026 — 7,989 subscribers23 August 2026 — 8,008 subscribers27 August 2026 — 7,988 subscribers29 August 2026 — 7,979 subscribers1 September 2026 — 7,957 subscribers4 September 2026 — 7,936 subscribers9 September 2026 — 7,900 subscribers13 September 2026 — 7,881 subscribers17 September 2026 — 7,871 subscribers6 August 202617 September 2026
14 measurements spanning 41 days, net -143. 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 7,848–8,047 and does not start at zero.
Measurement log — every subscribers count we have recorded
Measured (UTC)SubscribersChange
17 Sept 2026, 01:187,871-10
13 Sept 2026, 13:157,881-19
9 Sept 2026, 23:417,900-36
4 Sept 2026, 22:577,936-21
1 Sept 2026, 07:457,957-22
29 Aug 2026, 18:067,979-9
27 Aug 2026, 01:557,988-20
23 Aug 2026, 15:478,008+19
19 Aug 2026, 15:337,989-5
16 Aug 2026, 15:247,994-1
13 Aug 2026, 03:447,995-11
10 Aug 2026, 03:418,006-18
7 Aug 2026, 08:048,024+10
6 Aug 2026, 20:158,014first reading

Engagement

25 posts held, back to 12 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 19 pages of Telegram’s post history, 20 posts per page.

ERR · 30 days
2.06%
avg views ÷ 7,871 subscribers
Avg views / post
163
2 posts measured
Reaction rate
this channel exposes no reaction counts
Posts in window
2
of 25 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.

What these figures were computed from
WindowRolling 30 days · latest post in window 27 August 2026
Posts held25 (12 June 202627 August 2026)
Views total325
Reactions total
Forwards / commentsnot exposed by the public surface — not measured, not estimated
Readings taken28 Aug 2026, 19:32 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

1,064 reactions across 11 posts, in 1 kind.

Every reaction kind recorded on the sample, most used first
ReactionCountShareShare, drawn
👍1,064100.0%

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 13 of the 25 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 1,064 reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.

Measured over the 25 most recent posts we hold, published 12 June 2026 to 27 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

27 Aug 2026, 17:44 UTC133 viewsread 28 August 2026

Here’s what we’re reading. 🚢 The Justice Department is preparing to activate a long-dormant maritime war court to streamline military capture of Iranian oil tankers as US prizes, according to three people familiar with the plans. https://aboutblaw.com/bmF7 💰 Florida Attorney General James Uthmeier (R) wants to extract far more money from Meta than the state would have received in this week’s landmark $18 billion se

26 Aug 2026, 17:36 UTC192 viewsread 28 August 2026

Here’s what we’re reading. 🟠 Meta said it agreed to pay up to $18 billion in landmark settlements to resolve allegations from multiple US states that the company deliberately designed Facebook and Instagram to encourage compulsive use among young users. https://aboutblaw.com/bmFc 🟠 DLA Piper’s defense of Donald Trump in Jan. 6 lawsuits marks a sharp pivot for the global law firm, which called for the president’s re

20 Aug 2026, 18:39 UTC408 views12 reactionsread 28 August 2026

Here's what we're reading: 🔵 Google’s proposed $10 million purchase of a vast trove of Spirit's deindentified business data exposes a void in privacy protections for workers amid a growing AI-driven market for real-world business data. https://aboutblaw.com/bmBY 🔵 Snap Inc., the company that created Snapchat, failed to convince a federal judge that its scraping of YouTube videos to train its AI didn’t violate copyr

👍12

13 Aug 2026, 16:13 UTC545 views1 reactionsread 28 August 2026

Here’s what we’re reading. 🎧 There’s no need to brave long lines or packed courtroom benches to witness the landmark social media addiction trial kicking off next week against Meta in a federal courthouse in Oakland, California. https://aboutblaw.com/bmyC 🏛 The US government’s experimentation with AI in rulemaking carries the risk that actions associated with the technology may be overturned in court, former federa

👍1

10 Aug 2026, 17:46 UTC524 viewsread 28 August 2026

Here’s what we’re reading. ◾️ From Festus, Mo., to Doña Ana County, N.M., dozens of lawsuits claim data center approvals violated public notice laws or zoning regulations. Local officials, in turn, are defending their processes and boasting about the potential economic benefits. https://aboutblaw.com/bmwx ◾️ Meta failed to obtain an emergency order pausing a landmark trial slated to begin this week involving claims

4 Aug 2026, 15:45 UTC587 views46 reactionsread 28 August 2026

Here’s what we’re reading. ✴️ AI chatbots as therapists are exploding in popularity, especially among young users. But the bots are not professionals, and that comes with risks. While the federal government slowly embarks on regulating this space, states are trying to fill the void. https://aboutblaw.com/bms2 ✴️ In the weeks that followed President Trump's order last August to send the National Guard into Washingto

👍46

31 Jul 2026, 15:57 UTC592 views69 reactionsread 28 August 2026

Here’s what we’re reading. 🦝 It's unlikely that anyone can claim intellectual property rights to the name or image of Jimothy, the short-spined Seattle raccoon who has become an internet sensation. https://aboutblaw.com/bmrv ❌ Data brokers operating in California have denied or ignored more than 1 million requests in the past two years to delete personal information they collected from online users, according to a

👍69

28 Jul 2026, 20:11 UTC571 views118 reactionsread 28 August 2026

Here's what we're reading: 🔵 William Savitt, the Wachtell Lipton co-leader known for taking on Elon Musk in high profile court battles, is leaving the corporate law firm for rival Gibson Dunn & Crutcher. https://aboutblaw.com/bmo6 🔵 Federal prosecutors in New Jersey have secured a judge’s approval to dismiss with prejudice longstanding charges against the alleged mastermind of a $722 million cryptocurrency Ponzi sc

👍118

27 Jul 2026, 17:34 UTC515 views112 reactionsread 28 August 2026

Here’s what we’re reading. 🔘 Delaware’s plan to create a new type of standalone legal entity, the artificial intelligence company, is raising fundamental questions about AI capabilities, business governance, human accountability, and the political economy of America’s corporate capital. https://aboutblaw.com/bmn3 🔘 Anthropic, Google and others racing to deploy the world’s most advanced AI models endorse the concept

👍112

24 Jul 2026, 17:45 UTC555 views168 reactionsread 28 August 2026

Here’s what we’re reading. ◼️ A teenage boy’s last-minute decision to withdraw his social media addiction lawsuit against Meta before trial is a setback for the sprawling litigation playing out in the Los Angeles court that saw early success with a jury awarding $6 million to a 20-year-old girl. https://aboutblaw.com/bmnB ◼️ The Department of Homeland Security’s top lawyer publicly called out what he dubbed the “wo

👍168

21 Jul 2026, 17:10 UTC560 views179 reactionsread 28 August 2026

Here’s what we’re reading. ➡️ Accounting rules and disclosure requirements for off-balance-sheet entities, like the ones Big Tech giants are using to finance AI data centers, have evolved since Enron’s collapse 25 years ago. But they still run the risk of presenting a misleading financial picture to investors. https://aboutblaw.com/bmkW ➡️ Several district courts have moved to document federal grand juries’ rare re

👍179

20 Jul 2026, 17:37 UTC490 views106 reactionsread 28 August 2026

Here’s what we’re reading. 🚴‍♂️ Isaac Rabicoff is the nation’s most prolific filer of patent-infringement lawsuits, representing entities sometimes derisively referred to as “patent trolls.” Most of his cases settle quickly. But when he sued disgraced cycling champion Floyd Landis, he learned he’d taken on the wrong guy. https://aboutblaw.com/bmj3 👩‍🎓 Trump regulations restricting international students’ presence i

👍106

Showing the 12 most recent of 25 posts we hold for @bloomberglaw. 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.

Bloomberg Crypto
@bloombergcrypto · 27,364
Telegram ranks this channel #15 of 92 here — alongside 91 others — read 10 September 2026
Bloomberg
@bloomberg · 175,725
Telegram ranks this channel #24 of 95 here — alongside 94 others — read 12 August 2026
Mint Business News - Official Channel
@livemint · 113,206
Telegram ranks this channel #81 of 88 here — alongside 87 others — read 14 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 17 September 2026 — this entry's latest reading, not the date you are reading this.

“Bloomberg Law” (@bloomberglaw), 7,871 subscribers as measured 17 September 2026. Telegram Register, tgregister.com/channel/bloomberglaw.

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.