What is PUE and why does it matter? In this clip from our AI Data Center Ecology webinar, we dive into power usage effectiveness (PUE), and why it might be a meaningless metric. Even efficient data centers can consume as much power as millions of homes—and that’s what hits your bill! ✨ Read the full report here 📚 Watch the AI Data Center Ecology webinar — @abovephone Website | Substack | X

Channel
#TBOT: Take Back Our Tech
@takebackourtech
On this record: Also posting the same content · Growth · Engagement · What this channel posts · Reactions · Posts · Citations · Cite this entry
10,993subscribers
+27 since we began measuring on 6 August 2026
Risers and fallers across the register · movement among entries of 10,000–31,623.
Register entry
| Telegram ID | -1001261348103 |
|---|---|
| Type | Channel |
| Username | @takebackourtech |
| Created | 23 April 2021 — measured — cross-checked against a third-party dataset (ext.tg_channel) |
| First recorded | 6 August 2026 |
| Last confirmed live | 12 August 2026 |
| Measurements held | 8 |
| Confirmed unchanged | 1 time, most recently 12 August 2026 |
| On Telegram | t.me/takebackourtech |
Also posting the same content
This channel’s posts match, word for word or near enough, posts on 1 other registered channel, 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
| Measured (UTC) | Subscribers | Change |
|---|---|---|
| 12 Aug 2026, 23:18 | 10,993 | -3 |
| 12 Aug 2026, 00:06 | 10,996 | -2 |
| 10 Aug 2026, 21:22 | 10,998 | +10 |
| 9 Aug 2026, 18:22 | 10,988 | +7 |
| 8 Aug 2026, 18:51 | 10,981 | +13 |
| 7 Aug 2026, 15:50 | 10,968 | +4 |
| 6 Aug 2026, 14:20 | 10,964 | -2 |
| 6 Aug 2026, 10:46 | 10,966 | first reading |
Engagement
23 posts held, back to 24 July 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 15 pagesof Telegram’s post history, 20 posts per page.
- ERR · 30 days
- 6.11%
- avg views ÷ 10,993 subscribers
- Avg views / post
- 672
- 23 posts measured
- Reaction rate
- 0.88%
- reactions ÷ views · ER floor
- Posts in window
- 23
- of 23 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 20 of 23 measured posts that carry a reaction reading, and over those same posts' views.
| Window | Rolling 30 days · latest post in window 11 August 2026 |
|---|---|
| Posts held | 23 (24 July 2026 – 11 August 2026) |
| Views total | 15,445 |
| Reactions total | 122 |
| Forwards / comments | not exposed by the public surface — not measured, not estimated |
| Readings taken | 12 Aug 2026, 13:35 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.
What this channel posts
- Video runtime
- 21m 03s
- Average length
- 1m 55s
Measured directly from 11 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
122 reactions across 19 posts, in 13 distinct kinds. The most used accounts for 36.1% of them.
| Reaction | Count | Share | Share, drawn |
|---|---|---|---|
| 👍 | 44 | 36.1% | |
| ❤ | 28 | 23.0% | |
| 👏 | 11 | 9.02% | |
| 🔥 | 8 | 6.56% | |
| 👀 | 7 | 5.74% | |
| 😱 | 5 | 4.10% | |
| 🤣 | 5 | 4.10% | |
| 🤯 | 5 | 4.10% | |
| 🤔 | 3 | 2.46% | |
| 🤬 | 3 | 2.46% | |
| 👎 | 1 | 0.82% | |
| 👨💻 | 1 | 0.82% | |
| 💘 | 1 | 0.82% |
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 20 of the 23 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 122reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.
Measured over the 23 most recent posts we hold, published 24 July 2026 to 11 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
📂 Want alternative news? Check out these channels 📢 #TBOT is now part of GeopoliticsLive, a collection of channels covering geopolitics, politics, global news, economy, and more. All English speaking! Stay informed. Whether you're seeking in-depth analysis, breaking news, or expert insights, our catalog has got you covered. 👉 ADD CHANNELS
👍2
Why Are China's AI Data Centers Sitting Empty? China is leading in AI adoption, but what most people don’t know is that a shocking 80% of their AI data centers are sitting completely empty. In this discussion with Dr. Kaufman, I break down how overinvestment in the wrong things has led to a bubble and that consumer demand just isn’t there - despite all the hype. 🎥 Watch the full interview here — @abovephone Websi…
🤯4👀2👏1👨💻1
Did you know data‑center sites are typically sited just a few miles from urban areas, often clustered together to share power and water infrastructure? That proximity puts massive strain on local water and energy grids—some of the largest centers under construction now draw as much power as millions of homes. Find more information: https://aidatacentermap.org/ — @abovephone Website | Substack | X
❤4🤬3👍2👏1🤔1
Hyperscale vs. Gigascale Data Centers Did you know modern hyperscale centers and the emerging gigascale centers dwarf traditional ones in power use? Imagine a single AI server the size of a fridge consuming the power of 1,000 homes! ✨ Read the full report here 📚 Watch the AI Data Center Ecology webinar — @abovephone Website | Substack | X
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⚡️Copper, Energy & The Lost Practices Matt shares how copper, once used throughout history, energizes water and health. From electroculture to ancient cookware, he explains how old wisdom was lost and why it’s time to bring it back. 🎥 Watch the full interview here 🌱 Learn more about Cultivate Elevate ➡️ We’re building our community on SimpleX. Be part of it! — @takebackourtech Website | XMPP | Substack | X
👍6🔥3🤔2❤1
📂 Want alternative news? Check out these channels 📢 #TBOT is now part of GeopoliticsLive, a collection of channels covering geopolitics, politics, global news, economy, and more. All English speaking! Stay informed. Whether you're seeking in-depth analysis, breaking news, or expert insights, our catalog has got you covered. 👉 ADD CHANNELS
👎1
Big thanks to everyone who participated in the first Reclaim Our Future day of action against AI Data centers! We had dozens of actions today in the US and a couple in the UK. Stay tuned for pictures. This was our first effort focusing on this singular issue that I see uniting left, right, center, apolitical and politically homeless people. I also want to share that I have been disappointed as I found that there a…
👍9❤4🔥1
Did you know U.S. AI data centers have had 100% bonus depreciation since 2025? That lets them retroactively write off the entire cost of their machinery and equipment from their taxable income. No wonder they've been building like mad. Want the full picture? Read our report: https://aidatacentermap.org/ — @abovephone Website | Substack | X
❤1
ohne Worte
77-Year-Old Florida Retiree Found A Way To Beat Flock Cameras Without Touching Them "Gunn positions himself beneath the camera while holding a pole with a sign in front of its field of view. According to local television reports, he deliberately chose a peaceful demonstration after seeing others resort to property damage. “I said, ‘What can I do to voice my opinion?'” Gunn told FOX 13. “They’re destroying property.…
❤8👍5🤣5
The Tax Break Fueling AI Data Centers Did you know 100% bonus depreciation allows companies to write off all costs of machinery and equipment retroactively since January 2025. It’s a massive incentive that could be a reason for the rapid expansion we’re seeing right now. ✨ Read the full report here 📚 Watch the AI Data Center Ecology webinar — @abovephone Website | Substack | X
😱5❤2
Showing the 12 most recent of 23 posts we hold for @takebackourtech. 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 — 206,883 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
Republished by
Channels on the register that have forwarded this channel's posts into their own feed.
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 5 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.
Named by
Channels on the register whose posts name this channel's handle.
Names
Channels on the register whose handles appear in this channel's posts.
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.
“#TBOT: Take Back Our Tech” (@takebackourtech), 10,993 subscribers as measured 12 August 2026. Telegram Register, tgregister.com/channel/takebackourtech.
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.