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From Seneca Village to Algorithms: Who Gets Deleted? · Chapter by Chapter — The Lost Library

• 0:00
  So think about this for a second.
• 0:02
  In the 1920s, you have this thriving district in Tulsa,
• 0:06
  right? And it loses $41 million
• 0:08
  basically overnight. Yeah, just completely wiped out.
• 0:10
  Exactly, and then go back to the 1850s, an entire middle class
• 0:16
  village is literally erased from the map so they could build
• 0:19
  Central Park. And now cut to today.
• 0:23
  An AI deep fake can rewrite you know your entire personal
• 0:27
  reputation in a matter of milliseconds.
• 0:29
  It is wild how fast it happens now.
• 0:31
  It really is. And on the surface, you look at
• 0:34
  these three things and they seem like completely unrelated
• 0:36
  events, right? But if you actually look closely
• 0:39
  at the mechanics, they all follow the exact same like
• 0:42
  mathematical formula social erasure.
• 0:44
  Yeah, and that is exactly what El Monte's framework gives us.
• 0:47
  It's a way to measure that exact formula.
• 0:49
  We're looking at this landscape of reality that is constantly
• 0:52
  being overwritten. Wow.
• 0:53
  Yeah. And the scary part is the
• 0:55
  historical artifact itself is silently replaced before anyone
• 0:58
  even notices it's gone. Right.
• 1:00
  So welcome to this deep dives everyone.
• 1:02
  Today our mission is to explore a dense, honestly, truly mind
• 1:06
  bending theoretical framework by Elvin D El Monte Junior.
• 1:10
  It is definitely a heavy one. Oh for sure.
• 1:12
  We are digging into a piece of his larger work, which is called
• 1:16
  The Muted Skies Canon. Specifically, we're looking at
• 1:19
  Volume 8, titled The Muted Self. Right.
• 1:21
  The focus today is really decoding the mechanics.
• 1:24
  Exactly. We're breaking down what El
• 1:26
  Monte calls communal social erasure and this concept of the
• 1:29
  universal law of memory collapse.
• 1:31
  Yeah. Essentially, we want to look at
• 1:33
  how individual identities and even entire communities are
• 1:37
  systematically erased and then replaced by like manufactured
• 1:40
  realities. And you know, for anyone
• 1:43
  listening, this isn't just about like high school bullying or bad
• 1:46
  PR. No, never.
• 1:47
  We are talking about a structural law that operates
• 1:50
  identically across 3000 years of history.
• 1:53
  I mean from the defacement of the Egyptian Pharaoh Hatshepsuts
• 1:55
  monuments all the way to the digital algorithm shaping your
• 1:59
  news feeds today. It's massive.
• 2:01
  And the real breakthrough here, I think, is that Almonte
• 2:05
  provides a diagnostic fingerprint to actually detect
• 2:08
  this erasure, right? Yes, exactly, because usually
• 2:11
  this feels like a subjective personal grievance.
• 2:14
  You know, that awful feeling of being misunderstood or gas lit
• 2:18
  or just quietly pushed out of a space which.
• 2:21
  Is the worst feeling. Right, but this framework shifts
• 2:24
  that into a measurable structural science.
• 2:27
  We can look at an archive, a paper trail, or even a company's
• 2:32
  HR records and mathematically prove that an erasure occurred.
• 2:35
  OK. Let's unpack this.
• 2:36
  I want to start at the micro, just the individual person.
• 2:39
  How does a single person's authentic reality actually get
• 2:42
  overwritten by a group? Well, El Monte defines this
• 2:45
  communal social erasure as a process where an authentic
• 2:47
  signal. Meaning your true self, right?
• 2:50
  Like your actual? Actions.
• 2:51
  Exactly. Your true signal is drowned out
• 2:53
  by manufactured noise. And it's not just people
• 2:55
  ignoring you, right? It is this coordinated silence
• 2:58
  or a totally false narrative that just entirely replaces your
• 3:01
  presence in that space. So how does that noise become
• 3:04
  the new reality? To understand that, we really
• 3:07
  have to look at concept. The source calls inverted
• 3:09
  recursive weight. OK, what is that?
• 3:12
  So normally if multiple independent people tell you it's
• 3:15
  raining outside, you trust it's raining.
• 3:17
  Right, because they're all saying the same thing
• 3:19
  separately. Exactly that independent
• 3:21
  verification is recursive weight proving a truth.
• 3:25
  But in social erasure, this mechanic is weaponized.
• 3:28
  You have a group of people who are not independent, they are
• 3:32
  correlated. Oh wow.
• 3:34
  They might share the same hidden motive or the same social
• 3:37
  circle, but they all repeat the same false narrative about a
• 3:40
  target. So to an outside observer, it
• 3:42
  looks like a unanimous consensus.
• 3:44
  Yes, exactly. Becomes an objective fact in
• 3:47
  that social environment simply because of the sheer volume and
• 3:50
  consistency of the noise. It's like it's like joining a
• 3:54
  group chat where everyone has already agreed you are the
• 3:56
  villain before you even type your first word.
• 3:58
  That is a perfect analogy. Right.
• 4:00
  Every neutral thing you say is Rita's hostile and eventually
• 4:03
  you just stop typing. Which brings us to how that room
• 4:06
  gets rigged in the first place. Right, the setup.
• 4:09
  Yeah, El Monte outlines a six stage pre arrival sequence and I
• 4:13
  really want to walk through this slowly because it's honestly
• 4:17
  terrifyingly recognizable. It really is the intentionality
• 4:20
  here, whether it's a conscious conspiracy or just some emergent
• 4:24
  social dynamic, it really reveals itself in these stages.
• 4:27
  So stage 1 is pre rival seating. This is where the negative
• 4:32
  narrative is distributed through a network's key connectors
• 4:35
  before the target even enters the room, so the seeds are
• 4:39
  planted. And then comes stage 2, which is
• 4:41
  witness prepositioning and I found this fascinating.
• 4:44
  Yeah, it changes everything. Wait, so they aren't just
• 4:46
  gossiping, they're actually giving people a specific lens
• 4:49
  through which to view my next action?
• 4:51
  That is the core of stage 2. The people in the room aren't
• 4:55
  neutral observers anymore, they are primed.
• 4:58
  So if the pre rival seed was that you are, say aggressive,
• 5:02
  then the moment you speak passionately about a project,
• 5:05
  those preposition witnesses don't see enthusiasm.
• 5:08
  They see the aggression they were told to expect.
• 5:10
  Exactly. They are actively looking for
• 5:12
  confirmation. That immediately leads into
• 5:14
  stage 3, which the source calls active invisibility performance,
• 5:18
  right? And it's not just that they
• 5:19
  don't notice the target, they actively perform the act of
• 5:22
  looking right through. Them it becomes a status
• 5:24
  broadcast. Ignoring the target proves your
• 5:27
  loyalty to the in Group. Which sets the trap for stage 4
• 5:30
  right reaction monitoring. The group basically just waits.
• 5:33
  Yeah, they apply this immense social pressure and simply watch
• 5:37
  the target, just waiting for that inevitable moment when the
• 5:40
  target reacts to being treated this way.
• 5:42
  And when that reaction happens, bam, we hit stage 5 selective
• 5:47
  archiving. This is the brutal part.
• 5:49
  It is the target finally gets frustrated.
• 5:50
  Do they snap? Or maybe they just completely
• 5:53
  withdraw and that reaction is what gets circulated and saved.
• 5:57
  Right while the pre arrival coordination, the whispering,
• 6:00
  the active invisibility. All of that is hidden.
• 6:04
  Exactly, but the target's reaction is archived as proof of
• 6:08
  their instability. Completing the sequence with
• 6:10
  stage 6 normalization, new people enter the group, they
• 6:15
  inherit this selectively archived reaction, and the
• 6:19
  manufactured baseline just becomes the unquestioned truth.
• 6:22
  The new person just assumes the target is difficult because I
• 6:25
  mean the only evidence available points to that conclusion.
• 6:28
  It's so insidious, and the tragedy of going through those
• 6:31
  six stages is what Almonte calls the Hollowing.
• 6:35
  This is like the terminal stage. Yeah, the psychological toll.
• 6:38
  Right. The target is subjected to this
• 6:40
  distortion for so long that they start to pre edit themselves.
• 6:44
  Think about, you know, typing a text message, deleting it,
• 6:47
  retyping it to sound less demanding, deleting it again,
• 6:50
  and then just not sending anything at all.
• 6:52
  You self suppress to survive this false model imposed on you.
• 6:56
  You shrink. Exactly.
• 6:57
  There's no correct response left.
• 6:59
  If you fight, you're aggressive. If you withdraw, you're guilty,
• 7:01
  so you just hollow out. The toll is immense, but from a
• 7:05
  diagnostic perspective, it brings up a massive challenge.
• 7:08
  OK, what is that? Well, if the pre arrival
• 7:11
  sequence is mostly whispers and active invisibility, where is
• 7:14
  the hard evidence? If we want to treat this as a
• 7:17
  structural science, we need proof, right?
• 7:20
  The framework answers this by introducing the structural
• 7:22
  asymmetry fingerprint. OK, I have to admit I'm
• 7:25
  struggling with this part a bit. Yeah, if the provocation is
• 7:28
  literally invisible and unrecorded, isn't this just
• 7:31
  confirmation bias? I get why you'd think that.
• 7:33
  Like. How can El Monte claim this is
• 7:35
  an objective science if the evidence of the setup isn't even
• 7:39
  there? Are we just taking the targets
• 7:41
  word for it? It sounds counterintuitive, but
• 7:43
  the gap itself is the evidence. This is the whole concept of
• 7:47
  provocation engineering and the Reaction First Archive Index or
• 7:50
  RFAI. The RFAI, right?
• 7:52
  Yeah, the fingerprint of systematic erasure is that the
• 7:55
  official record consistently starts mid sequence.
• 7:57
  Oh, I see. Right.
• 7:58
  So if you look at an archive and see that a person's file is
• 8:01
  filled entirely with their explosive or erratic reactions,
• 8:04
  but there's never a single documented 'cause.
• 8:06
  That structural asymmetry is the fingerprint.
• 8:09
  Exactly. The sheer statistical
• 8:11
  improbability of someone constantly reacting to literally
• 8:14
  nothing proves that the archive was selectively curated to omit
• 8:18
  the initiating provocations. OK, OK, that makes total sense
• 8:21
  now, and the source points to Harold Garfinkel's breaching
• 8:24
  experiments from the mid 20th century to back this up.
• 8:27
  Right. Yes, Garfinkel proved this
• 8:28
  beautifully. He showed that when a social
• 8:30
  norm is violated subtly, observers instinctively blame
• 8:34
  the person who reacts loudly, not the person who quietly
• 8:38
  provoked them. Right, like if someone quietly
• 8:40
  cuts you in line and you yell at them.
• 8:42
  The rest of the store turns and looks at you as the problem.
• 8:45
  Exactly. And this dynamic, it scales all
• 8:47
  the way up to state level surveillance.
• 8:50
  The framework actually examines the FBI's Cointel profiles from
• 8:54
  the 1970s. And just to be clear for the
• 8:56
  listeners, we're just reporting on the historical analysis
• 8:58
  provided in the source here, not taking any political stance.
• 9:01
  Right. Absolutely.
• 9:02
  The source just uses the declassified documents which
• 9:05
  officially recorded the use of this exact tactic against civil
• 9:08
  rights leaders. Agents were actually trained to
• 9:11
  stage deniable provocations. Like sending anonymous letters,
• 9:15
  slashing tires, creating friction.
• 9:17
  Exactly. And the official archive would
• 9:19
  only capture the target's reaction.
• 9:21
  So if a target bought a weapon because they were receiving
• 9:24
  anonymous death threats engineered by the agency, the
• 9:27
  archive completely omitted the death threats.
• 9:29
  Right, it only recorded the raid where the target was found to be
• 9:32
  armed and dangerous. Yep.
• 9:34
  The provocation was omitted by design, framing the target as
• 9:38
  inherently unstable. That is chilling, but we see
• 9:42
  this weaponized in an everyday life too, don't we?
• 9:45
  The framework talks about the joke that lands too clean.
• 9:48
  This is such a brilliant everyday metric for erasure.
• 9:51
  I love this example. Describe what happens in the
• 9:53
  room during that kind of joke. OK, so if someone makes a joke
• 9:56
  at another person's expense, like a cruel joke or one that
• 9:59
  crosses a professional boundary, and the whole room just bursts
• 10:03
  into unanimous laughter with absolutely 0 discomfort or
• 10:07
  hesitation, right? It is proof the room was already
• 10:10
  preceded against the target. Because in a normal environment,
• 10:14
  a cruel joke creates like a beat of awkwardness.
• 10:17
  People glance at each other. Yeah, exactly.
• 10:19
  Yeah, but if the laughter is clean and instant, the target's
• 10:23
  erasure was already normalized before the punchline was even
• 10:26
  delivered. And if you were the one person
• 10:28
  in the room who didn't laugh, you feel the weight of that
• 10:31
  manufactured baseline. Oh, for sure.
• 10:33
  The unified laughter of the room creates this invisible wall.
• 10:37
  It tells you that if you speak up, you are the one violating
• 10:41
  the social norm. Now the mechanism pivots here in
• 10:44
  a really dangerous way. The framework shifts from
• 10:47
  erasing someone's past to hijacking their future.
• 10:50
  OK, behavioral baseline hurting. Yes.
• 10:53
  It's not just about erasing the signal anymore, it's about
• 10:56
  engineering the environment so the target's forward motion
• 10:59
  toward a desired destination is the only option left.
• 11:02
  I think of it like a Venus flytrap, right?
• 11:04
  The promise of belonging or success is the nectar.
• 11:07
  It smells sweet, it draws you in.
• 11:09
  But once you step inside. The severance face kicks in.
• 11:11
  It acts like those microscopic hairs inside the trap.
• 11:14
  The moment you brush against them, the leaves trigger.
• 11:16
  And by the time the bug realizes the nectar is gone, the exit is
• 11:20
  already sealed. Exactly.
• 11:21
  So let's break down that four phase sequence of hurting.
• 11:24
  Phase one is the promise. It's a lure, maybe belonging, A
• 11:29
  promotion or safety. And Phase 2 is severance, and
• 11:33
  crucially, severance happens while the promise is still
• 11:36
  active. Right.
• 11:37
  The target feels like they're transitioning towards something
• 11:40
  great, so they don't even fight it when their return pass to
• 11:43
  their old life or their external support system is just quietly
• 11:46
  cut off. Which leads right into phase
• 11:48
  three withdrawal. The promise suddenly becomes
• 11:52
  conditional. The work that's pulled back?
• 11:54
  Yeah, and the target is now in a closed space.
• 11:57
  They can't go back because their ties were severed in Phase 2.
• 12:00
  And they can't stay comfortably without complying with whatever
• 12:02
  new rules are suddenly imposed. Which is phase 4 conditional re
• 12:05
  access. It's basically weaponized
• 12:08
  learned helplessness. They learn that they only get
• 12:10
  tiny little break from pieces of that original promise if they
• 12:13
  completely submit to the group's terms.
• 12:15
  And the archive for this is what Amanti calls the approach First
• 12:19
  Archive index. To an outside observer, the
• 12:21
  optical illusion is just perfect.
• 12:23
  How so? Well, it just looks like the
• 12:25
  target is desperately pursuing the group.
• 12:27
  The record shows the pursuit right, the emails asking for
• 12:30
  approval, the late hours worked. But it completely omits the
• 12:34
  severed exit that actually caused the desperation.
• 12:37
  Wow. And the most insidious part is
• 12:39
  what Amanti calls the sealing mechanism.
• 12:42
  Oh, this part is rough. Let's say the target realizes
• 12:45
  they are trapped. They try to explain it to
• 12:46
  someone outside the group. They describe the severed ties,
• 12:50
  the withdrawn promise, the sudden coldness.
• 12:53
  How does that sound to an outsider?
• 12:55
  They sound paranoid. Exactly.
• 12:57
  They sound obsessed because the observers only see the targets
• 13:00
  pursued. So the targets own accurate
• 13:03
  description of the trap becomes the exact evidence the group
• 13:06
  uses to validate the false narrative that the target is
• 13:09
  just unstable. Yeah, it's a perfect trap.
• 13:11
  So if this can happen to one person in a boardroom or in a
• 13:14
  relationship, what happens when the target is an entire zip
• 13:17
  code? Right.
• 13:18
  Can a system heard 10,000 people at once?
• 13:20
  This is where we transition to macro scale erasure.
• 13:24
  Amante argues that the individual is a village and the
• 13:27
  village is an individual. The exact same mechanics we just
• 13:30
  discussed apply to entire civilizations and economies.
• 13:33
  Right. And the source illustrates this
• 13:35
  with the displacement of Seneca Village in the 1850s.
• 13:39
  This was a thriving community in New York, but before anyone was
• 13:42
  physically moved to build Central Park, the press
• 13:45
  coordinated a pre arrival narrative.
• 13:48
  Newspapers started calling this community of documented middle
• 13:51
  class property owners a shantytown full of squatters.
• 13:54
  They manufactured A baseline to justify the removal.
• 13:57
  And that false baseline was accepted as historical truth for
• 14:01
  over a century. Which is crazy to think about.
• 14:04
  It wasn't until archaeological excavations in 2011 dug up stone
• 14:08
  foundations and proof of a thriving middle class
• 14:10
  infrastructure that the narrative was challenged, the
• 14:13
  paper archive said. Shantytown, the physical ground,
• 14:16
  said otherwise. This introduces wealth
• 14:18
  trajectory inversion. Erasure at this scale isn't just
• 14:22
  about losing your story in the history books.
• 14:24
  It is a literal economic reassignment.
• 14:26
  Wealth paths are severed and that compounding value is
• 14:29
  rerouted to new actors. The 1921 Tulsa Race Massacre in
• 14:33
  the Greenwood District is a stark example of this.
• 14:35
  Again, looking purely at the factual mechanisms here as
• 14:39
  presented in the source 35 square blocks of thriving
• 14:43
  economic infrastructure destroyed.
• 14:46
  Adjusted for today, $41 million in property was lost and $1.8
• 14:50
  million in insurance claims were completely denied by the system.
• 14:54
  But that wealth didn't just vanish into thin air.
• 14:57
  No. The market share, the customer
• 14:59
  base, the compounding value of those severed businesses.
• 15:02
  Over the next century, it was absorbed and reconstituted by
• 15:06
  competitors in the broader system who didn't face that
• 15:09
  disruption. The inversion reroutes the
• 15:11
  trajectory. It's like someone pulling the
• 15:13
  ladder up while you're climbing and then 50 years later pointing
• 15:16
  at your grandkids and saying look, they just don't like to
• 15:18
  climb. Exactly.
• 15:19
  And you see chronic institutional inversions with
• 15:22
  things like the Homeowners Loan Corporation redlining maps from
• 15:25
  the 1930's. The government produced maps
• 15:28
  labeling certain neighborhoods as hazardous for investment.
• 15:31
  Which functions as the pre arrival sequence at a federal.
• 15:35
  Yes, labeling a neighborhood as hazardous ensured it received no
• 15:39
  mortgage investment, and the lack of investment created the
• 15:42
  exact deterioration the label originally predicted.
• 15:46
  Right, the manufactured baseline became a self fulfilling
• 15:48
  prophecy and the economic divergent compounding from that
• 15:51
  era is still measurable today. It really makes you wonder,
• 15:54
  though, if it was incredibly difficult for an entire
• 15:57
  community like Seneca Village to fight a false newspaper
• 16:01
  narrative in 1855, how do we stand a chance?
• 16:04
  Today, that is the big question. Because we're living in an era
• 16:08
  where AI can generate A synthetic consensus and a deep
• 16:11
  fake provocation in what, milliseconds?
• 16:13
  Yeah, the modern era acts as an AI accelerator for these ancient
• 16:16
  mechanics. The framework actually warns
• 16:19
  about asymmetrical machine memory.
• 16:20
  Oh. Right, because digital platforms
• 16:23
  are explicitly designed to preserve screen record portable
• 16:26
  emotional reactions, the algorithms reward outrage.
• 16:29
  Exactly. But they are terrible at
• 16:31
  preserving the subtle sequential provocations that caused those
• 16:34
  reactions. So the algorithm naturally
• 16:37
  curates the reaction first archive index on a global scale.
• 16:40
  And then you add synthetic consensus on top of that.
• 16:42
  Right, Generative AI and Botswarms can just flood a
• 16:47
  network. They create the illusion of
• 16:49
  overwhelming public agreement without actual humans even
• 16:52
  participating. They manufacture the inverted
• 16:54
  recursive weight. Yes, if 100,000 bot accounts
• 16:57
  agree on a false premise, real human beings will literally
• 17:01
  start to doubt their own eyes. Not to mention deep fakes which
• 17:05
  turn a false rumor into a visual durable artifact.
• 17:09
  You aren't just fighting a whisper network in the office
• 17:11
  anymore, you are fighting a completely fabricated video.
• 17:14
  And the damage of this erasure is profoundly deep.
• 17:18
  It isn't just digital or psychological.
• 17:21
  The source points out that it is biological.
• 17:24
  Wow. Yeah.
• 17:25
  Genomic research on Alaska Natives and studies of Holocaust
• 17:27
  survivors at Mount Sinai show that the trauma of
• 17:30
  civilizational erasure actually transmits epigenetically.
• 17:33
  So it changes the expression of the genes themselves.
• 17:36
  Yes, the baseline for stress hormones, the biological
• 17:39
  dysregulation. It's passed down to descendants
• 17:41
  who never even experienced the original event.
• 17:44
  The Halloween we talked about earlier where the target shrinks
• 17:46
  to survive, it goes all the way down to the cellular level.
• 17:48
  It really does, which makes the need for an antidote absolutely
• 17:52
  critical. Right.
• 17:53
  So how do individuals or communities survive this kind of
• 17:57
  memory collapse? El Monte outlines a recovery
• 18:00
  architecture called Signal re anchoring.
• 18:03
  OK, how does that work? This relies on finding what the
• 18:06
  framework calls bilingual witnesses.
• 18:09
  These are people, or even contexts completely outside the
• 18:13
  contaminated social network. So they had to be uncontaminated
• 18:16
  so they can recognize your original baseline.
• 18:18
  Exactly, and they receive your authentic signal without the
• 18:21
  haze of the manufactured noise filtering their perception.
• 18:24
  It's like finding a compass in a native speaker after you've been
• 18:28
  spun around blindfolded in a foreign country for years, you
• 18:31
  finally have an external reference point.
• 18:33
  Which is exactly what is needed for victims of hurting.
• 18:36
  The process is called restoring the navigational baseline.
• 18:40
  It's not enough to just be seen clearly by someone.
• 18:43
  The target needs external reference points to evaluate
• 18:46
  what is normal. Again, they need temporal
• 18:48
  anchoring, understanding exactly when the shift happened, and
• 18:51
  structural naming. Structural naming, so meaning
• 18:55
  giving them the vocabulary to say this was phase two severance
• 18:59
  rather than just feeling crazy. Yes.
• 19:02
  Naming the mechanism dismantles its power.
• 19:04
  And at the civilizational scale, This is why museums, archives
• 19:08
  and language immersion schools are so incredibly critical.
• 19:11
  They act as institutional bilingual witnesses.
• 19:14
  Because without that active custodial agency, memory just
• 19:17
  defaults to degradation. The system will naturally just
• 19:20
  reabsorb the truth right back into the noise.
• 19:22
  It's profound. The sheer scale of Al Monte's
• 19:25
  framework is what makes it so vital.
• 19:27
  I mean from a single employee silenced in a corporate office,
• 19:31
  to a partner trapped in a coercive relationship, to the
• 19:33
  destruction of entire historical villages.
• 19:35
  Mechanics of erasure are identical.
• 19:38
  And understand those mechanics gives you a superpower.
• 19:40
  If you're listening to this, you can now look at any conflict,
• 19:42
  any news story or any office drama and ask yourself, am I
• 19:46
  looking at the provocation or just the reaction?
• 19:49
  Is the linchpin missing from this archive?
• 19:51
  It really forces you to question the very structure of the
• 19:54
  information you are receiving, rather than just passively
• 19:57
  accepting the consensus. Exactly.
• 19:59
  And I won't leave you with one final Rovocative thought to Mull
• 20:02
  over. This builds on what the source
• 20:05
  calls the Knowing Witness. This is a powerful concept,
• 20:09
  yeah. Think about the spaces you
• 20:11
  occupy. The framework tells us that
• 20:13
  communal erasure doesn't actually require a room full of
• 20:17
  malicious villains plotting your downfall.
• 20:19
  It only requires a room full of quote UN quote good people who
• 20:23
  decide that speaking up is just too socially expensive.
• 20:26
  Wow, yeah. So the next time you witness a
• 20:29
  joke that lands a little too clean at someone else's expense,
• 20:32
  ask yourself, are you just an innocent bystander or is your
• 20:36
  silence the exact mortar being used to build a manufactured
• 20:39
  reality? What if the difference between a
• 20:41
  survivors having truth and an erased history is simply.
• 20:45
  You history isn't just an artifact waiting to be dug up,
• 20:48
  it is an active process. If we aren't careful, we are
• 20:50
  just looking at a picture someone else painted over the
• 20:52
  lens. Absolutely.
• 20:53
  Thank you so much for taking this deep dive with us.
• 20:56
  Keep questioning the archive.