Channel
@bloomberglaw
On this record: Growth · Engagement · Reactions · Posts · Telegram's recommendations · Cite this entry
7,995subscribers
-19 since we began measuring on 6 August 2026
Risers and fallers across the register · movement among entries of 3,162–10,000.
| Telegram ID | -1001290736983 |
|---|---|
| Type | Channel |
| Username | @bloomberglaw |
| Created | 28 April 2020 — measured — cross-checked against a third-party dataset (ext.tg_channel) |
| First recorded | 6 August 2026 |
| Last confirmed live | 13 August 2026 |
| Measurements held | 4 |
| Confirmed unchanged | 1 time, most recently 13 August 2026 |
| On Telegram | t.me/bloomberglaw |
| Measured (UTC) | Subscribers | Change |
|---|---|---|
| 13 Aug 2026, 03:44 | 7,995 | -11 |
| 10 Aug 2026, 03:41 | 8,006 | -18 |
| 7 Aug 2026, 08:04 | 8,024 | +10 |
| 6 Aug 2026, 20:15 | 8,014 | first reading |
21 posts held, back to 12 June 2026 — the 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 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 8 of 10 measured posts that carry a reaction reading, and over those same posts' views.
| Window | Rolling 30 days · latest post in window 10 August 2026 |
|---|---|
| Posts held | 21 (12 June 2026 – 10 August 2026) |
| Views total | 4,585 |
| Reactions total | 1,048 |
| Forwards / comments | not exposed by the public surface — not measured, not estimated |
| Readings taken | 12 Aug 2026, 16:54 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.
1,049 reactions across 9 posts, in 1 kind.
| Reaction | Count | Share | Share, drawn |
|---|---|---|---|
| 👍 | 1,049 | 100.0% |
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 11 of the 21 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 1,049reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.
Measured over the 21 most recent posts we hold, published 12 June 2026 to 10 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.
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…
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…
👍45
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
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
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…
👍111
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
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
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
Here’s what we’re reading. 🛂 Foreign students on F-1 visas will be limited to four-year stays in the US under new regulations finalized by the Department of Homeland Security. https://aboutblaw.com/bmiZ 💬 Big Tech’s presence in the AI-for-legal industry is ramping up with six of the most important tech companies making forays into the space in the last four months. https://aboutblaw.com/bmi0
👍252
Here’s what we’re reading. 🤳 The rise of artificial intelligence has models and influencers in a bind as traditional expectations of image editing are stretched to the limits — and the law may not be able to keep up. https://aboutblaw.com/bmhL 🍟 Consumers of industrially processed food are suing the nation’s largest snack, breakfast, and beverage companies, intensifying litigation pressure even as federal and state…
Here’s what we’re reading. ➡️ Justice Amy Coney Barrett personally appealed to Congress for more Supreme Court security funding, publicly detailing for the first time a recent attempted swatting attack on her home. https://aboutblaw.com/bmg0 ➡️ New York will be the first state to issue a moratorium on new hyperscale data centers as localities across the country grapple with how to regulate the proliferation of ener…
Here’s what we’re reading. 🍔 With more than 10 percent of American adults now using a GLP-1 drug, the makers of dietary supplements and packaged food are trying to profit by marketing products with terms like GLP-1 “friendly.” But lax federal oversight of such claims, coupled with consumer confusion, has brought courts into the mix. https://aboutblaw.com/bmgq 💊 A federal appeals court revived lawsuits that claim Ke…
Showing the 12 most recent of 21 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.
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.
This channel appears in 2 seed channels' Telegram-generated recommendation lists in total. Each is Telegram’s list for THAT channel, not this one — see how this is measured.
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 13 August 2026 — this entry's latest reading, not the date you are reading this.
“Bloomberg Law” (@bloomberglaw), 7,995 subscribers as measured 13 August 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.