Kristen Meghan👩🔬🐻 ✓
@KristenMeghan · South West Michigan, USA · joined 26 Feb 2009
🛩AF Vet 🇺🇸Whistleblower 📺Media contributor/Speaker💛Ron Paul 👩🔬24yr Industrial Hygienist Env Specialist 🎙Activist 🐻Da Bears 🙅♀️Taxation
61 312Followers
3 587Following
36 400Posts total
592.4KViews on collected posts
Latest posts
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Yes, Jovan...
I am credential to speak on the very hazards associated with hyperscale data center. Is that hard for you to understand? Where is your argument or fact check. Since you like to use AI generated content to attack me, let's ask Grok.
Hey @grok are industrial
1.8K views · 23 likes
· 9 reposts · 9 replies
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@KristenMeghan here is your post (see pic) then enter your own video and see what happens in fact checking
I did not express an opinion, I expressed a FACT CHECK https://t.co/yeqy2Y1m3w
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Unbelievable! 🤣 Quite the strange attack when I've never claimed to be a CIH, nor do I desire to be. I am a Senior Industrial Hygienist.
I am very much credentialed to speak on the human and environmental impacts of heavily industrialized infrastructure, such as hyperscale data
1.8K views · 25 likes
· 3 reposts · 7 replies
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@KristenMeghan @kurtknapp Well, let's look at her credentials shall we can cross check:
(1) Kristen Meghan Kelly has a master’s in occupational safety and health and Air Force bioenvironmental experience. Public reporting from 2021 stated she was not a CIH and described that as a
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Part two: Hyperscale Data Centers
@HealthRanger @RWMaloneMD @zeeemedia @Tammy_K_Clark https://t.co/yFjxIXppgb
7.1K views · 262 likes
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As expected the Tuey-Rodriquez instruction given because the jury is still not able to come to unanimous decision for a verdict.
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There is so much information the general public doesn't realize regarding hyperscale data centers. Maybe I'll post a longer video tomorrow.
The human and environmental impacts are NOT negligible. It's more than water and tonal noise, which BTW was a military torture technique.
4.2K views · 223 likes
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America’s Frontline Industrial Hygienists and Multidisciplinary Summit featured speaker, nurse Jodi O’Malley, @Jodiomalleyrn, speaking on her experience during Covid from her professional background and experience.
So many of us in our fields recognized the inappropriate,
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@KristenMeghan These are hyper scale, surveillance centers
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@KristenMeghan @tedcruz @takenaps He wont respond to you because he’s an absolute pussy
71 views · 5 likes
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@KristenMeghan @tedcruz @takenaps You make me proud to be a Michigander
68 views · 4 likes
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@KristenMeghan @tedcruz @takenaps I’m from Ohio! They’re building 4 data centers with miles of me. They haven’t started building yet. We are trying to fight it but they are excluding the public.
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@tedcruz @takenaps https://t.co/3hjd5osk22
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Most data centers built today use a closed-loop cooling system, meaning they use a fraction of the water of a golf course.
We separate fact from online misinformation on the latest episode of Verdict..
The Chinese Communists Caught Spending Big Bucks Trying to Make You Hate ht
222K views · 5.3K likes
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Coming from someone who actually is credentialed on the human and environmental impacts on these hyperscale data centers, and not funded by China. https://t.co/YMuPbWKNH5
316.8K views · 2.3K likes
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Axon beyond Flock: embedded surveillance, acquisitions, and data sharing
From Decentralized Revolution #170—@KristenMeghan on the Fight against Flock cameras & data centers👇 https://t.co/IWOGJz5wwz
7.3K views · 32 likes
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Against accounts of the same size
20 posts from the last 90 days, next to the 10K–100K follower range. ordinary reach for its size, stronger reaction than most.
Median views1 926this account924median for 10K–100K
Reach, %3.14%this account3.62%median for 10K–100K
Engagement, %2.10%this account1.52%median for 10K–100K
| Metric | This account | Median for 10K–100K | Ratio |
|---|---|---|---|
| Median views per post | 1 926 | 924 | 2.08× |
| Reach (views ÷ followers) | 3.14% | 3.62% | 0.87× |
| Engagement rate | 2.10% | 1.52% | 1.38× |
Others in this range → Compare with another account → How these benchmarks are built →
Growth & engagement
How the posts we collected actually performed: views and reaction rate post by post, what the audience did with them, and where the follower count goes.
Views per post
711 Sep
2.2K
1.9K
1.9K
4.2K2 Sep
1.1K
2.6K3 Sep
7.1K
504
1.6K
1.8K
2.8K
1.8K
1.1K4 Sep
Last 14 collected posts, oldest on the left. The scale is logarithmic: one post can outrun the rest a hundred times over.
Engagement rate per post
9.86%1 Sep
3.48%
0.84%
0.31%
7.26%2 Sep
0.45%
0.83%3 Sep
5.59%
4.37%
0.31%
2.01%
0.56%
2.28%
1.32%4 Sep
Reactions — likes, reposts, replies and quotes — divided by views. Median for 10K–100K accounts is 1.52%.
What the audience does
Likes63.8%8 589 in total
Reposts14.9%2 005 in total
Replies9.2%1 243 in total
Quotes1.9%262 in total
Bookmarks10.1%1 357 in total
Share of every reaction we collected for this account. Replies mean argument, reposts mean endorsement, bookmarks mean the post was worth keeping.
The follower curve appears once this account has two daily snapshots — we take one a day, and this one is on its first.
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