May 22, 2026

EP 052 The Internet Died in 2017 | When Conspiracy Became Algorithm

EP 052 The Internet Died in 2017 | When Conspiracy Became Algorithm
Conspiracy theories often signal deeper truths about power. In 2017, something shifted: the organic internet was systematically replaced with algorithmic control. Tracy Brinkmann explores the dead internet theory—revealing how the algorithmic shift created a closed-loop of cultural conditioning designed to study and manipulate human behavior. From bot-dominated platforms to the psychology of manufactured outrage, discover how the open web became a controlled simulation. https://SomeUnapprovedThinking.com Check out our sponsor - https://DarkHorseEntrepreneurcom
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Beneath the headlines, behind
the timelines, there is a

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story no one wants you to find.

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Welcome to some unapproved thinking, where
forgotten truths, buried patterns, and

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invisible systems rise to the surface.

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You weren't crazy.

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You were just early.

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Let's begin.

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You don't remember the exact
moment because that's the point.

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Nobody does.

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Not because it happened gradually,
but because you weren't supposed

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to notice it happened at all.

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This is the dead internet theory, and
before you dismiss it, know that it didn't

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start on some fringe corner of the web.

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It started in twenty twenty-one when a
user named iilluminaughtiiPirate posted

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a long detailed breakdown on a forum
called Agora Roads Macintosh Cafe.

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It spread.

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It reached The Atlantic, where
journalist Caitlin Tiffany wrote a

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piece called Maybe You Missed It,
But the Internet Died Five Years Ago.

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And then in late twenty twenty-two, when
ChatGPT dropped and suddenly everyone

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could see exactly how convincing
AI-generated content could be, the

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theory stopped feeling like paranoia.

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It started feeling like a diagnosis.

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In twenty seventeen,
something fundamental shifted.

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Not a glitch, not an upgrade, a severance.

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The internet you grew up with didn't
evolve into what you're using now.

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It was replaced.

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And the version running in your
pocket right now, it's not the

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wild unpredictable web anymore.

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It's a closed ecosystem, a fishbowl,
a laboratory, and you've been

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swimming in it for seven years without
realizing the glass walls were added.

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Here's where it gets strange.

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In late twenty sixteen, early
twenty seventeen, traffic analysts

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started noticing something.

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The organic web traffic patterns
changed, not slowly, overnight.

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The chaotic random distribution of
human behavior online, the thing that

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made the early internet so beautifully
unpredictable suddenly smoothed out.

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It became algorithmic,
predictable, almost manufactured.

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This is some unapproved thinking

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Now back to the show.

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By 2017, the major platforms
had already begun their pivot.

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Facebook's engagement metrics
shifted fundamentally.

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On February 10th, 2016, Twitter
introduced its algorithmic timeline,

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ending the chronological feed that had
defined the platform since its launch.

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Instagram hid likes.

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These weren't feature updates.

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They were architectural changes.

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They were building walls, creating closed
loops, and the narrative you were given

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was, "We're making the experience better."

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But what if they were actually
making something else?

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Mm, control.

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The real internet, yeah, you know,
the one that existed before 2017,

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was a problem for certain interests.

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It was decentralized enough that
truth could spread faster than lies.

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A teenager in Nebraska could expose
corporate corruption, and it could go

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viral in as little as forty-eight hours.

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Governments couldn't contain narratives.

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Corporations couldn't
control the conversation.

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And we know this isn't hypothetical.

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Programs like Operation Earnest Voice,
the US government's own social media

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manipulation operation, proved that
state actors were already building

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fake online personas at scale.

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So they did the only
thing that made sense.

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They shut it down and built a replacement
you'd think was the same thing.

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Here's the mechanism.

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Around 2015, machine learning had
become sophisticated enough to do

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something previously impossible,
generate human-like content at scale.

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Not just text, images, videos,
but actual behavioral patterns.

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By 2017, the technology was good enough
that you couldn't reliably distinguish

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between a real human posting online
and an algorithmic simulation of one.

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This is the moment everything changed.

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And when ChatGPT launched in
November 2022, the dead internet

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theory didn't just resurface.

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Nope, it crystallized because suddenly
anyone could see with their own

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hands how trivially easy it was to
generate convincing human-sounding

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content at industrial scale.

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The platforms didn't announce they
were replacing the organic internet

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with a controlled simulation.

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They just did it gradually tightened
the algorithms, made it harder for

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real humans to reach each other, easier
for algorithmic content to propagate.

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You felt it as algorithm changes.

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You experienced it as, "Why am
I seeing less from my friends?"

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But what was actually happening
was a slow-motion transition.

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The internet was being turned into a
closed-loop psychological experiment,

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and you were no longer a user.

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Nope, you became the experiment.

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By twenty eighteen, the evidence
was hiding in plain sight.

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Look at any major social media platform
and count the engagement patterns.

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Real human discourse is chaotic.

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It's messy.

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It contradicts itself.

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Real humans share genuinely random things.

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But what you see online
now, it's too clean.

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It's too thematic.

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It's far too perfectly
distributed across your network.

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The viral videos that
blow up hit exact metrics.

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The discourse follows predictable arcs.

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Even the conspiracy theories,
including ones you might believe

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in, they trend in patterns.

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They escalate in synchronized
ways across multiple platforms.

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This isn't paranoia.

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This is observable.

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The most damning evidence sits in the
metadata nobody talks about anymore.

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In twenty seventeen, researchers
started noting that the percentage

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of bot-generated accounts on major
platforms was rising exponentially.

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Twitter claimed in its transparency
reports that roughly five percent

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of accounts were automated, but
independent analysis suggested it

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was closer to forty-eight percent.

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By twenty twenty-four, according
to Imperva's Bad Bot Report,

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bots now constitute fifty-one
percent of all internet traffic.

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Fifty-one percent.

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That's more than half.

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Facebook's numbers were similar.

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The majority of engagement
on social media platforms now

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comes from non-human sources.

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You're not having conversations
with people anymore.

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You're having Matrix-like conversations
with the simulation of people with

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the mere illusion of consensus.

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But here's where your brain
tries to protect itself.

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You'll say, "So what? Bots don't
matter if the humans engaging are

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real." Except they're not, because
once you accept that bots can generate

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convincing content, you have to ask,
how many of your friends are real?

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How many of the accounts you follow
are actual humans versus algorithmic

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proxies trained on human behavior?

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This is essentially a Turing test
failure at civilizational scale.

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And once you ask that question,
you realize you can't answer it,

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and that, my friends, is by design.

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The platform engineers know this.

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They've built the system so
that humans and bots are now

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functionally indistinguishable.

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A human could spend an hour crafting
a tweet, or an AI could generate

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something identical in milliseconds.

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The distribution mechanism doesn't care.

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It just pushes content that gets
engagement, and because the bots

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are trained on human behavior
patterns, they engage perfectly.

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They like, comment, and share.

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They create the illusion that your post
mattered, that someone was listening.

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And isn't that what we all want?

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To matter and to be heard?

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Look, the real danger
isn't that bots exist.

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It's that they've made the internet
into this hall of mirrors where you're

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essentially talking to yourself,
and you don't know when you've

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stopped talking to other people.

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Why?

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Well, because the algorithm
learned that humans respond to

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certain emotional triggers: fear,
outrage, and yes, belonging.

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So it optimized for those.

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This is what Eli Pariser called the
filter bubble, the idea that algorithmic

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curation doesn't just reflect your
preferences, it constructs them.

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It created content through both human and
bot accounts that pushed those buttons.

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And because the response seemed real,
because bots are indistinguishable

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from humans, you had no way of knowing
whether your emotional reaction was

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being genuinely reciprocated by a
community or artificially triggered

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by a system designed to study how
your brain responds to stimulation.

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This is where twenty seventeen
becomes the inflection point.

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Before twenty seventeen, the internet
was fundamentally ungovernable.

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After twenty seventeen, it was
a, mm, controlled environment.

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Not in the way you'd expect, not
through censorship or blocking,

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though that happens too, but
instead through replacement.

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By making the real internet functionally
invisible and creating a replacement

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you couldn't help but use, the platforms
didn't need to delete the wild web.

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They just needed to
make it, mm, irrelevant.

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Every real person migrated to where
their friends were, to where the

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engagement happened, to Facebook,
Instagram TikTok and to Twitter.

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And what they found there
wasn't human connection anymore.

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It was rather a simulation of it,
a closed loop where the system

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studied human behavior while
impersonating humans back at you.

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Cambridge Analytica gave us a glimpse of
what that looked like from the inside,

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platforms allowing behavioral data to
be weaponized to manipulate millions

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of people without their knowledge.

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That wasn't an anomaly.

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Nope, that was the system
working as designed.

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And here's the part that,
hmm, rewires everything.

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You can't prove this is happening to
you specifically because the system is

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designed to be imperceptible from inside.

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Wait, what?

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Yeah.

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If you're inside the experiment,
you can't see the walls of the tank.

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You just know something feels off.

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The discourse online
is weirdly coordinated.

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Outrage cycles are predictable.

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Trends seem a bit manufactured,
which, let's be honest, they are.

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But the moment you try to point
this out, you're participating

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in the system it created.

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You're posting your
concern on the platform.

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You're generating data.

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Huh.

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You're feeding the feedback loop.

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So the system doesn't need to censor you.

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It just needs to make sure that
when you speak, you're only heard

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by other people in the same tank.

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That's why conspiracy theories
spread so effectively now, not

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because they're true, but because the
algorithm learned that humans engage

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with them, so it amplifies them.

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It feeds them to people
psychologically primed to believe them.

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It creates the appearance of a massive
awakened community when really it's

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a handful of humans and thousands of
bots reinforcing the same narrative

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until it feels like consensus.

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This is the closed-loop
psychological experiment.

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You're not being lied to.

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Well, not directly.

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You're being shown a version of
reality that the algorithm learned

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you'll engage with most intensely.

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And because millions of others are
being shown their own personalized

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reality, one designed to trigger their
specific fear patterns, their specific

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rage triggers, their specific need for
belonging, everyone feels isolated.

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Everyone feels like they're the only one
who sees the truth, which, as you have

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probably figured out, is exactly the point
The platforms are studying how humans

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behave when isolated in echo chambers,
how belief forms when the feedback loop

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is controlled, how identity crystallizes
when all opposing views are invisible.

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And they've done this at a scale and
with a precision that would have been

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impossible before twenty seventeen when
the algorithm finally became good enough.

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But here's what breaks the logic.

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If this is all true, why
would they let you know?

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Why would I be able to tell you this?

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Why hasn't this been deleted?

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And the answer is the
deepest part of the trap.

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Because you knowing about it
doesn't help you escape it.

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In fact, it makes it stronger.

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Believing you've been deceived by the
system makes you more likely to seek

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community with others who believe
the same thing, which puts you deeper

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into the closed loop, which generates
more data about how radicalization

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spreads, which feeds the experiment.

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You can't opt out because
every alternative platform

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follows the same model.

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Telegram, Discord, Substack, they're all
building the same infrastructure, the same

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algorithmic sorting, the same feedback
loops, different names, same prison.

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The real Internet didn't
just die in twenty seventeen.

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It was, um, euthanized carefully
by people who understood that an

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ungovernable information space was
incompatible with centralized control.

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00:13:43,506 --> 00:13:44,706
So they didn't try to govern it.

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00:13:45,055 --> 00:13:45,396
Nope.

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00:13:45,695 --> 00:13:48,776
They replaced it with something you
can't distinguish from the real thing.

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00:13:49,526 --> 00:13:54,526
And now you're inside it, making it
stronger every time you post, every

239
00:13:54,526 --> 00:14:00,496
time you engage, and even every time
you try to wake someone else up.

240
00:14:01,136 --> 00:14:05,515
The Internet died in twenty
seventeen, and we've been inside the

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00:14:05,515 --> 00:14:07,685
Matrix and the machine ever since.

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00:14:09,576 --> 00:14:11,826
This is Some Unapproved Thinking.

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00:14:12,115 --> 00:14:17,945
Next, next, next, next, next, next, next.

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00:14:18,335 --> 00:14:21,125
If this story didn't sit
right with you, good.

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00:14:21,746 --> 00:14:23,136
You're not here to be comforted.

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00:14:23,536 --> 00:14:26,006
You're here to see what others overlook.

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00:14:26,435 --> 00:14:28,995
Thanks for exploring
some unapproved thinking.

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00:14:29,525 --> 00:14:33,485
Learn more at someunapprovedthinking.com.

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00:14:33,485 --> 00:14:35,176
New episodes drop weekly.

250
00:14:35,646 --> 00:14:41,096
Subscribe, share, and keep questioning
because the pattern's still playing

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00:14:41,096 --> 00:14:43,816
out, and next time, we're going deeper