WEBVTT

00:00:00.000 --> 00:00:01.399
I want you to close your eyes for a second. Well,

00:00:01.459 --> 00:00:03.459
actually, keep them open if you're driving or

00:00:03.459 --> 00:00:05.879
operating heavy machinery safety first. Yeah,

00:00:05.940 --> 00:00:09.660
yeah, please do. But if you can, I want you to

00:00:09.660 --> 00:00:12.839
picture a map, specifically a vintage map of

00:00:12.839 --> 00:00:16.429
Philadelphia. from 1937. It looks like your standard

00:00:16.429 --> 00:00:19.010
city planners, grid streets, avenues, rivers.

00:00:19.309 --> 00:00:22.010
Sure. But it's color coded. It looks almost like

00:00:22.010 --> 00:00:24.250
a paint by numbers puzzle that someone gave up

00:00:24.250 --> 00:00:26.309
on halfway through. You've got these patches

00:00:26.309 --> 00:00:29.309
of green, some areas washed in blue, a fair amount

00:00:29.309 --> 00:00:32.409
of yellow, and then starkly contrasting against

00:00:32.409 --> 00:00:35.350
the rest, you have these aggressive, solid blocks

00:00:35.350 --> 00:00:38.049
of red. And that map isn't just a piece of history

00:00:38.049 --> 00:00:40.189
or a cool vintage aesthetic you'd find in an

00:00:40.189 --> 00:00:43.619
antique shop. That map is a smoking gun. Those

00:00:43.619 --> 00:00:46.899
colors, green, blue, yellow, red, they weren't

00:00:46.899 --> 00:00:49.100
just categorizing architecture or traffic flow.

00:00:49.280 --> 00:00:51.439
They were determining the financial destiny of

00:00:51.439 --> 00:00:54.399
the human beings living inside those lines. And

00:00:54.399 --> 00:00:56.619
that red ink, that is the origin of the term

00:00:56.619 --> 00:00:59.640
we are unpacking today, redlining. Exactly. We're

00:00:59.640 --> 00:01:01.880
doing a deep dive into redlining. And I know

00:01:01.880 --> 00:01:03.920
you've probably heard the term. Oh, yeah. It

00:01:03.920 --> 00:01:05.739
gets thrown around a lot. It gets thrown around

00:01:05.739 --> 00:01:08.079
a lot in political debates or on Twitter threads.

00:01:08.560 --> 00:01:10.799
You might have a rough idea that it means banks

00:01:10.799 --> 00:01:14.530
being racist in the past. But today, our mission

00:01:14.530 --> 00:01:16.930
is different. We aren't just looking at the definition.

00:01:17.170 --> 00:01:19.540
We are going to look at the machinery. And that

00:01:19.540 --> 00:01:22.599
distinction is vital. It is incredibly easy to

00:01:22.599 --> 00:01:25.900
think of redlining as a few bad Apple bankers

00:01:25.900 --> 00:01:28.640
making prejudiced choices in a back room. But

00:01:28.640 --> 00:01:30.459
the reality, when you actually look at the source

00:01:30.459 --> 00:01:32.840
material, the government manuals, the sociological

00:01:32.840 --> 00:01:36.239
studies, the lawsuits, is that this was a systemic

00:01:36.239 --> 00:01:39.420
government sponsored engine. It was policy. It

00:01:39.420 --> 00:01:42.340
was policy. It was a machine designed to separate

00:01:42.340 --> 00:01:45.319
specific people from capital based on the color

00:01:45.319 --> 00:01:47.359
of their skin. OK, so before we start taking

00:01:47.359 --> 00:01:49.060
that machine apart to see it. how it works. Let's

00:01:49.060 --> 00:01:51.340
get the official definition on the table. When

00:01:51.340 --> 00:01:53.719
we say redlining, what are we actually defining?

00:01:54.299 --> 00:01:56.959
Strictly speaking, redlining is the systemic

00:01:56.959 --> 00:01:59.540
denial of services. And I mean, a whole range

00:01:59.540 --> 00:02:02.219
of services. Not just loans. Not just loans.

00:02:02.319 --> 00:02:04.879
We're talking financial, health care, retail,

00:02:05.219 --> 00:02:09.949
insurance. The denial of those services to residents

00:02:09.949 --> 00:02:12.969
of specific neighborhoods, usually based on significant

00:02:12.969 --> 00:02:16.110
numbers of racial and ethnic minorities. And

00:02:16.110 --> 00:02:17.770
usually we hear about this in the context of

00:02:17.770 --> 00:02:19.629
black history in America. That's sort of the

00:02:19.629 --> 00:02:21.909
main narrative. Predominantly, yes, that's the

00:02:21.909 --> 00:02:24.430
primary context. But the sources point out that

00:02:24.430 --> 00:02:26.800
the scope is actually broader. This practice

00:02:26.800 --> 00:02:29.639
also targeted Mexican Americans in the southwestern

00:02:29.639 --> 00:02:32.639
United States. And this part actually surprised

00:02:32.639 --> 00:02:34.879
me during the research. You too. It was prevalent

00:02:34.879 --> 00:02:38.460
in Canada, specifically Ontario, from the 1930s

00:02:38.460 --> 00:02:40.939
to the 1950s. I didn't realize it went north

00:02:40.939 --> 00:02:43.219
of the border. We tend to think of Canada as

00:02:43.219 --> 00:02:45.960
exempt from this specific brand of housing segregation.

00:02:46.620 --> 00:02:48.659
Not at all. The mechanics were slightly different,

00:02:48.759 --> 00:02:51.219
but the outcome segregation and capital starvation

00:02:51.219 --> 00:02:54.159
was the same. And the term itself, redlining,

00:02:54.259 --> 00:02:56.419
is actually credited to a sociologist named John

00:02:56.419 --> 00:02:59.139
McKnight in the 1960s. He was describing the

00:02:59.139 --> 00:03:01.280
practice in Chicago where banks would literally,

00:03:01.360 --> 00:03:04.879
physically draw a red line on a wall map to mark

00:03:04.879 --> 00:03:07.580
areas they considered hazardous. So it's not

00:03:07.580 --> 00:03:10.039
a metaphor? No, not originally. It was literal.

00:03:10.159 --> 00:03:12.259
If you lived inside the red line, you were cut

00:03:12.259 --> 00:03:15.490
off. Period. So that's the definition. But I

00:03:15.490 --> 00:03:17.889
want to get to the how, because you don't just

00:03:17.889 --> 00:03:20.550
wake up one day and have an entire national banking

00:03:20.550 --> 00:03:23.669
system agree to discriminate in the exact same

00:03:23.669 --> 00:03:27.310
way without some coordination. Who were the architects?

00:03:27.650 --> 00:03:29.949
Who built the machine? To understand the architects,

00:03:30.169 --> 00:03:32.509
we have to travel back to the Great Depression.

00:03:33.199 --> 00:03:36.780
It's the 1930s. The U .S. housing market is in

00:03:36.780 --> 00:03:39.800
absolute freefall. People are defaulting on mortgages

00:03:39.800 --> 00:03:42.500
left and right. Total chaos. Total chaos. Now,

00:03:42.580 --> 00:03:45.280
here is a detail most people miss. Before the

00:03:45.280 --> 00:03:48.419
1930s, the mortgage, as we know it, didn't really

00:03:48.419 --> 00:03:50.240
exist. What do you mean by that? People bought

00:03:50.240 --> 00:03:52.460
houses, didn't they? They did, but the terms

00:03:52.460 --> 00:03:55.099
were brutal. You usually had to put 50 % down.

00:03:55.240 --> 00:03:58.680
50. 50%. And the loan was a short -term balloon

00:03:58.680 --> 00:04:01.300
payment due in three to five years. You paid

00:04:01.300 --> 00:04:03.199
interest for a few years, and then boom, you

00:04:03.199 --> 00:04:05.439
owed the whole principal. So it wasn't amortized.

00:04:05.439 --> 00:04:07.879
You didn't pay it down slowly. No. It was a rich

00:04:07.879 --> 00:04:09.979
man's game. If you were working class, you rented.

00:04:10.219 --> 00:04:12.740
End of story. Okay, so the concept of paying

00:04:12.740 --> 00:04:15.580
a little bit every month for 30 years, the standard

00:04:15.580 --> 00:04:18.019
American mortgage, that wasn't a thing. No, that

00:04:18.019 --> 00:04:20.300
was an invention. The federal government, trying

00:04:20.300 --> 00:04:24.300
to save the economy, stepped in. In 1935, the

00:04:24.300 --> 00:04:28.180
Federal Home Loan Bank Board asked a group called

00:04:28.180 --> 00:04:31.680
the Homeowners Loan Corporation, or HOLC, to

00:04:31.680 --> 00:04:36.259
survey 239 cities. HOLC, okay. They wanted to

00:04:36.259 --> 00:04:38.459
figure out how to stabilize housing. And to do

00:04:38.459 --> 00:04:40.379
that, they needed to know which neighborhoods

00:04:40.379 --> 00:04:43.860
were safe for this new type of long -term lending

00:04:43.860 --> 00:04:45.420
they were inventing. So they were essentially

00:04:45.420 --> 00:04:47.339
auditing the real estate of the entire nation.

00:04:47.459 --> 00:04:49.379
Precisely. They wanted to create residential

00:04:49.379 --> 00:04:52.370
security maps. And this is where that... color

00:04:52.370 --> 00:04:55.069
grading system comes in it is chillingly simple

00:04:55.069 --> 00:04:57.689
they divided every neighborhood into one of four

00:04:57.689 --> 00:04:59.569
categories okay let's break them down type a

00:04:59.569 --> 00:05:02.170
was outlined in green these were the best areas

00:05:02.170 --> 00:05:04.990
typically affluent usually suburban on the outskirts

00:05:04.990 --> 00:05:08.250
of cities okay so green is go green means money

00:05:08.250 --> 00:05:11.649
green is go then you have type b outlined in

00:05:11.649 --> 00:05:14.170
blue these are considered still desirable still

00:05:14.170 --> 00:05:18.430
a good bet okay then type c yellow labeled declining

00:05:19.370 --> 00:05:21.189
You're starting to see some warning flags for

00:05:21.189 --> 00:05:24.029
the bankers. Exclining. Okay. And finally, type

00:05:24.029 --> 00:05:26.529
D outlined in red. These were labeled hazardous.

00:05:27.329 --> 00:05:30.069
Hazardous. That is such a loaded word to use

00:05:30.069 --> 00:05:32.529
for a neighborhood. It sounds like a toxic waste

00:05:32.529 --> 00:05:35.170
dump or a place where a volcano is about to erupt.

00:05:35.370 --> 00:05:37.449
It doesn't sound like a place where families

00:05:37.449 --> 00:05:39.870
live. Well, the toxicity they were worried about

00:05:39.870 --> 00:05:42.430
wasn't chemical. It was racial. Uh -huh. This

00:05:42.430 --> 00:05:45.050
is where the explicit racism of the criteria

00:05:45.050 --> 00:05:48.069
becomes undeniable. We are inferring this from

00:05:48.069 --> 00:05:50.540
dating patterns. It is written in their manuals.

00:05:50.600 --> 00:05:53.360
The source material references a Philadelphia

00:05:53.360 --> 00:05:57.540
map specifically. It lists the detrimental influences

00:05:57.540 --> 00:06:00.160
of a red zone. And what do they list? Do you

00:06:00.160 --> 00:06:01.939
know what they listed as a detriment to property

00:06:01.939 --> 00:06:04.480
value? I'm almost afraid to ask, but lay it on

00:06:04.480 --> 00:06:07.360
us. Concentration of Negroes and Italians. Wow.

00:06:07.519 --> 00:06:09.639
It's just right there in black and white. In

00:06:09.639 --> 00:06:12.139
black and white. They literally listed human

00:06:12.139 --> 00:06:15.060
beings, specific ethnicities as a detrimental

00:06:15.060 --> 00:06:18.389
influence. on par with i don't know a sinkhole

00:06:18.389 --> 00:06:20.550
or a flood zone or being next to a factory or

00:06:20.550 --> 00:06:23.279
something Exactly. And this wasn't just the HOLC.

00:06:23.360 --> 00:06:26.040
This is key. The Federal Housing Administration,

00:06:26.439 --> 00:06:30.860
or FHA, formalized this process. They had a chief

00:06:30.860 --> 00:06:34.420
land economist named Homer Hoyt. He helped develop

00:06:34.420 --> 00:06:37.120
the first underwriting criteria for mortgages.

00:06:37.360 --> 00:06:39.160
So he wrote the rulebook. He wrote the rulebook.

00:06:39.300 --> 00:06:43.019
And the FHA manuals explicitly warned banks to

00:06:43.019 --> 00:06:45.920
steer clear of areas with inharmonious racial

00:06:45.920 --> 00:06:48.699
groups. Inharmonious racial groups. It sounds

00:06:48.699 --> 00:06:52.709
so bureaucratic, so sterile. But the impact is

00:06:52.709 --> 00:06:55.250
devastating. That's how systemic racism works.

00:06:55.329 --> 00:06:57.870
It hides behind jargon. But play devil's advocate

00:06:57.870 --> 00:07:00.790
for a second. If I'm a banker in 1940, isn't

00:07:00.790 --> 00:07:03.610
it my job to avoid risk? If the government says

00:07:03.610 --> 00:07:05.709
these areas are risky, isn't it just smart business

00:07:05.709 --> 00:07:07.910
to not lend there? That's the argument they used.

00:07:07.930 --> 00:07:10.050
Of course, they cloaked it in the language of

00:07:10.050 --> 00:07:12.569
actuarial risk. But here's the catch. And it's

00:07:12.569 --> 00:07:15.279
the whole point. The risk was a self -fulfilling

00:07:15.279 --> 00:07:18.220
prophecy created by the map itself. Walk me through

00:07:18.220 --> 00:07:20.279
that. How does the map create the risk? Okay,

00:07:20.319 --> 00:07:21.759
imagine you live in a neighborhood that gets

00:07:21.759 --> 00:07:24.639
marked red. Suddenly, no bank will give you a

00:07:24.639 --> 00:07:27.139
loan to buy a house there. More importantly...

00:07:27.230 --> 00:07:29.689
No bank will give you a home improvement loan,

00:07:29.810 --> 00:07:32.470
so your roof starts to leak. You can't fix it.

00:07:32.490 --> 00:07:34.649
You can't fix it. The landlord who owns the building

00:07:34.649 --> 00:07:37.589
next door, he can't get a loan to update the

00:07:37.589 --> 00:07:40.209
plumbing, so he lets it rot. Business owners

00:07:40.209 --> 00:07:42.310
can't get loans to open shop. Right, because

00:07:42.310 --> 00:07:44.629
capital has been cut off. The money stick it

00:07:44.629 --> 00:07:47.509
has turned off. Exactly. So the physical stock

00:07:47.509 --> 00:07:50.709
of the neighborhood deteriorates. Property values

00:07:50.709 --> 00:07:53.529
tank. Because nobody can get a mortgage to buy

00:07:53.529 --> 00:07:55.910
the homes, meaning you can only sell for cash,

00:07:56.089 --> 00:07:59.730
usually at a loss. Which shrinks the pool of

00:07:59.730 --> 00:08:02.129
potential buyers to almost nothing. Almost nothing.

00:08:02.449 --> 00:08:04.870
Five years later, the surveyors come back, look

00:08:04.870 --> 00:08:06.829
at the peeling paint and the crumbling porches

00:08:06.829 --> 00:08:10.470
and say, see, we were right. This area is hazardous.

00:08:10.829 --> 00:08:13.230
But it's hazardous because they choked it. It's

00:08:13.230 --> 00:08:15.149
like tying a tourniquet around someone's leg

00:08:15.149 --> 00:08:17.449
and then blaming the leg for turning purple.

00:08:17.589 --> 00:08:20.290
That is the perfect analogy. And the FHA didn't

00:08:20.290 --> 00:08:22.649
just passively observe this. They enforced it.

00:08:22.790 --> 00:08:25.750
To get that lucrative FHA mortgage insurance,

00:08:26.029 --> 00:08:28.850
which protected the bank if the borrower defaulted,

00:08:28.889 --> 00:08:31.949
the bank had to follow the map. Ah, so there

00:08:31.949 --> 00:08:34.070
was a financial incentive to discriminate. A

00:08:34.070 --> 00:08:36.389
huge one. If you wanted the government's backing,

00:08:36.610 --> 00:08:39.490
you had to play by their rules. And their rules

00:08:39.490 --> 00:08:41.769
were racist. And what did that look like in terms

00:08:41.769 --> 00:08:44.409
of numbers? The numbers are staggering. Between

00:08:44.409 --> 00:08:48.870
1945 and 1959, less than 2 % of all federally

00:08:48.870 --> 00:08:51.190
insured home loans went to African Americans.

00:08:51.450 --> 00:08:54.460
Less than 2 % during the post -war boom. The

00:08:54.460 --> 00:08:56.600
biggest economic expansion in modern history.

00:08:56.759 --> 00:08:58.799
The biggest housing boom in American history.

00:08:59.019 --> 00:09:02.340
The era that built the white middle class. The

00:09:02.340 --> 00:09:05.460
GI Bill, the suburbs, Levittown, all of that

00:09:05.460 --> 00:09:07.740
wealth creation was subsidized by the government.

00:09:07.799 --> 00:09:10.179
And black Americans were systematically locked

00:09:10.179 --> 00:09:12.320
out of the building. So the American dream was,

00:09:12.460 --> 00:09:16.259
by design, not for everyone. By design. And it

00:09:16.259 --> 00:09:18.570
wasn't just mortgages, was it? If you mark a

00:09:18.570 --> 00:09:21.909
neighborhood as red, as hazardous, that signal

00:09:21.909 --> 00:09:24.509
travels. It's not just the bank manager looking

00:09:24.509 --> 00:09:26.870
at the map. That's right. Once you draw a hazardous

00:09:26.870 --> 00:09:29.070
line around a community, other industries take

00:09:29.070 --> 00:09:31.889
note. The web of denial spreads. Let's talk about

00:09:31.889 --> 00:09:33.629
insurance. Right, because you can't really have

00:09:33.629 --> 00:09:35.889
a mortgage without home insurance. It's the safety

00:09:35.889 --> 00:09:38.669
net. If the house burns down, the bank wants

00:09:38.669 --> 00:09:41.360
to know they get paid. Exactly. Post -World War

00:09:41.360 --> 00:09:44.820
II, homeowners insurance became standard. But

00:09:44.820 --> 00:09:47.279
urban historians like Bench Annsfield have found

00:09:47.279 --> 00:09:49.820
that insurance companies instituted rigid redlining

00:09:49.820 --> 00:09:52.639
policies. So they had their own maps. They had

00:09:52.639 --> 00:09:54.519
their own maps or they used the government's.

00:09:54.559 --> 00:09:57.500
There's a specific piece of evidence from 1964,

00:09:57.960 --> 00:10:00.879
an Aetna Billiton advising underwriters to literally

00:10:01.789 --> 00:10:05.610
use a red line around questionable areas on their

00:10:05.610 --> 00:10:08.490
maps. So even in the swinging 60s, long after

00:10:08.490 --> 00:10:10.850
this was supposedly known to be a problem, they

00:10:10.850 --> 00:10:12.990
were still using the red pen. They were. And

00:10:12.990 --> 00:10:15.110
the New York Urban Coalition put it perfectly

00:10:15.110 --> 00:10:18.250
in 1978. They said, a neighborhood without insurance

00:10:18.250 --> 00:10:20.629
is a neighborhood doomed to death. Doomed to

00:10:20.629 --> 00:10:23.299
death. That's bleak. It is, because if you can't

00:10:23.299 --> 00:10:25.139
insure a property, you can't sell it, you can't

00:10:25.139 --> 00:10:27.059
buy it, and you certainly can't build wealth

00:10:27.059 --> 00:10:29.700
from it. It freezes the real estate market completely.

00:10:29.860 --> 00:10:32.220
It's a death sentence. It even trickled down

00:10:32.220 --> 00:10:34.299
to things that seem totally unrelated to high

00:10:34.299 --> 00:10:36.899
finance. I saw a note in the research about pizza

00:10:36.899 --> 00:10:39.649
delivery. It sounds trivial compared to mortgages,

00:10:39.710 --> 00:10:43.169
but yes, this is about the daily indignities

00:10:43.169 --> 00:10:45.750
of living in a redlined area. It's about the

00:10:45.750 --> 00:10:48.529
quality of life. The sources mentioned that grocery

00:10:48.529 --> 00:10:51.269
chains and even pizza delivery companies would

00:10:51.269 --> 00:10:54.529
redline areas refusing service or investment.

00:10:54.750 --> 00:10:56.409
They literally wouldn't deliver. They wouldn't

00:10:56.409 --> 00:10:59.610
deliver. Or, more systemically, if you can't

00:10:59.610 --> 00:11:01.289
get a grocery store to open in your neighborhood

00:11:01.289 --> 00:11:03.830
because corporate HQ has redlined the zip code,

00:11:04.009 --> 00:11:06.480
what do you get? You get a food desert. You get

00:11:06.480 --> 00:11:08.720
gas station food and convenience stores. Exactly.

00:11:08.779 --> 00:11:11.559
Or what activists now call food apartheid because

00:11:11.559 --> 00:11:14.299
desert implies it's a natural phenomenon. This

00:11:14.299 --> 00:11:17.000
was a man -made decision. It forces residents

00:11:17.000 --> 00:11:20.179
to travel further and pay more for basic nutrition.

00:11:20.500 --> 00:11:23.139
It's the poverty tax. Yeah. It is expensive to

00:11:23.139 --> 00:11:25.700
be poor. It's expensive to be poor and it's exhausting.

00:11:26.039 --> 00:11:28.289
So you can't buy a house. You can't insure the

00:11:28.289 --> 00:11:30.769
house if you manage to buy it. And you can't

00:11:30.769 --> 00:11:32.750
even get a fresh vegetable or pizza delivered

00:11:32.750 --> 00:11:36.029
to your door. It's total isolation. It is economic

00:11:36.029 --> 00:11:38.970
suffocation. And that creates a deep systemic

00:11:38.970 --> 00:11:41.909
desperation. And that desperation leads us to

00:11:41.909 --> 00:11:44.889
the next and arguably darker phase of this history.

00:11:45.289 --> 00:11:48.029
Because eventually the laws changed. The civil

00:11:48.029 --> 00:11:50.389
rights movement happened. The Fair Housing Act

00:11:50.389 --> 00:11:53.590
of 1968 made redlining denying loans illegal.

00:11:54.250 --> 00:11:56.710
But the banks didn't just say, OK, we'll treat

00:11:56.710 --> 00:11:59.929
everyone fairly now. They figured out a new strategy.

00:12:00.210 --> 00:12:02.169
And this is where it gets really interesting

00:12:02.169 --> 00:12:04.950
or really infuriating. We move from redlining

00:12:04.950 --> 00:12:08.110
to reverse redlining. Correct. It's a pivot.

00:12:08.230 --> 00:12:11.610
Classic redlining is, I won't lend to you because

00:12:11.610 --> 00:12:14.539
of where you live. Reverse redlining is, I will

00:12:14.539 --> 00:12:16.600
specifically target you because of where you

00:12:16.600 --> 00:12:19.320
live, but I'm going to give you a terrible, expensive,

00:12:19.559 --> 00:12:22.539
predatory loan. So instead of starving the neighborhood,

00:12:22.840 --> 00:12:25.039
they decided to poison it. That is a very apt

00:12:25.039 --> 00:12:28.019
way to put it. The mechanism works because, remember,

00:12:28.240 --> 00:12:30.500
these neighborhoods had been starved of credit

00:12:30.500 --> 00:12:33.429
for decades. There was no competition. If you

00:12:33.429 --> 00:12:35.590
lived in a black neighborhood in Chicago or Baltimore,

00:12:35.789 --> 00:12:37.889
you didn't have five banks competing for your

00:12:37.889 --> 00:12:39.789
business. You had no options. You had no options.

00:12:40.190 --> 00:12:42.809
So when a lender finally showed up offering money,

00:12:43.029 --> 00:12:45.070
people were desperate to say yes. They'd been

00:12:45.070 --> 00:12:48.289
told no their entire lives. But why would a bank

00:12:48.289 --> 00:12:51.009
want to give out bad loans? I thought the whole

00:12:51.009 --> 00:12:52.909
point of banking was lending to people who can

00:12:52.909 --> 00:12:55.700
pay you back. If you give someone a loan they

00:12:55.700 --> 00:12:58.200
can't afford, don't you lose money when they

00:12:58.200 --> 00:13:00.940
default? Ah, see, that's the old model of banking.

00:13:01.379 --> 00:13:04.159
By the 2000s, the banking model had changed.

00:13:04.220 --> 00:13:07.159
This is the era of securitization. Okay, that's

00:13:07.159 --> 00:13:09.490
a big word. Break it down. Banks weren't keeping

00:13:09.490 --> 00:13:11.610
the liens they made. They weren't holding them

00:13:11.610 --> 00:13:14.649
on their books. They were bundling them up by

00:13:14.649 --> 00:13:18.269
the thousands, good loans, bad loans, all mixed

00:13:18.269 --> 00:13:20.649
together and selling them to Wall Street as bonds,

00:13:20.710 --> 00:13:23.009
as mortgage -backed securities. The big short

00:13:23.009 --> 00:13:26.210
stuff. Exactly. The bank made its money off the

00:13:26.210 --> 00:13:29.009
fees for originating the loan. Once they sold

00:13:29.009 --> 00:13:31.230
it, the risk wasn't theirs anymore. It was some

00:13:31.230 --> 00:13:33.840
pension funds problem in Norway. So they had

00:13:33.840 --> 00:13:35.700
no incentive to make sure the loan was actually

00:13:35.700 --> 00:13:37.580
a good one. They had an incentive to make as

00:13:37.580 --> 00:13:39.740
many loans as possible as quickly as possible.

00:13:39.899 --> 00:13:41.980
And this created a perverse incentive called

00:13:41.980 --> 00:13:44.799
the yield spread premium. Yield spread premium.

00:13:44.919 --> 00:13:47.220
That sounds like jargon designed to hide something

00:13:47.220 --> 00:13:50.259
nasty. Break that down for us. It was nasty.

00:13:50.419 --> 00:13:52.960
Essentially, it was a kickback, a bonus paid

00:13:52.960 --> 00:13:55.559
to loan officers if they could get a borrower

00:13:55.559 --> 00:13:57.700
to sign a loan with a higher interest rate than

00:13:57.700 --> 00:14:01.220
they actually qualified for. Wait, pause. You're

00:14:01.220 --> 00:14:04.120
saying if I walk into a bank with perfect credit

00:14:04.120 --> 00:14:07.960
and I qualify for a 4 % interest rate, the loan

00:14:07.960 --> 00:14:11.059
officer gets a bonus for tricking me into a 7

00:14:11.059 --> 00:14:14.590
% rate? Yes, that's exactly what it means. They

00:14:14.590 --> 00:14:16.610
made more money by selling you a worse product.

00:14:16.750 --> 00:14:18.649
It's like going to a doctor who gets a bonus

00:14:18.649 --> 00:14:20.769
for prescribing you a drug that makes you sicker.

00:14:20.809 --> 00:14:23.129
That's just fundamentally corrupt. And this is

00:14:23.129 --> 00:14:25.009
where the racial targeting becomes surgical.

00:14:25.450 --> 00:14:28.190
The Wells Fargo investigation is the smoking

00:14:28.190 --> 00:14:31.009
gun here. It showed that they specifically targeted

00:14:31.009 --> 00:14:33.909
emerging markets, their internal code word for

00:14:33.909 --> 00:14:36.789
black communities. Emerging markets. Right. They

00:14:36.789 --> 00:14:38.330
knew these communities had been historically

00:14:38.330 --> 00:14:40.870
excluded and might not have the financial literacy

00:14:40.870 --> 00:14:43.490
or the. generational experience to spot a bad

00:14:43.490 --> 00:14:46.549
deal. They saw vulnerability and exploited it.

00:14:46.610 --> 00:14:48.950
They exploited the desperation created by the

00:14:48.950 --> 00:14:51.830
original redlining. Explicitly. The evidence

00:14:51.830 --> 00:14:54.309
in the affidavits from former loan officers is

00:14:54.309 --> 00:14:57.870
stomach -churning. Wells Fargo cultivated relationships

00:14:57.870 --> 00:15:00.909
with centers of influence, specifically black

00:15:00.909 --> 00:15:04.289
churches. The churches. Yes. They held wealth

00:15:04.289 --> 00:15:06.830
-building seminars after Sunday service. The

00:15:06.830 --> 00:15:09.090
pastor, trusting the bank, would endorse them

00:15:09.090 --> 00:15:11.610
from the pulpit. The bank would make a donation

00:15:11.610 --> 00:15:13.690
to the church for every application filled out.

00:15:13.950 --> 00:15:17.090
That is distinctively evil. Using the pulpit

00:15:17.090 --> 00:15:20.210
to sell subprime toxic assets to your own congregation.

00:15:20.210 --> 00:15:22.970
It was a betrayal of trust on a massive scale.

00:15:23.029 --> 00:15:25.529
And here's the data point that destroys the it's

00:15:25.529 --> 00:15:28.649
just economics argument. A high income black

00:15:28.649 --> 00:15:31.490
borrower, someone earning over $68 ,000 a year

00:15:31.490 --> 00:15:34.549
in the 2000s, was almost twice as likely to get

00:15:34.549 --> 00:15:37.029
a subprime loan as a low income white borrower.

00:15:37.279 --> 00:15:39.200
Let me say that again. A high income black person

00:15:39.200 --> 00:15:41.580
was a bigger subprime target than a low income

00:15:41.580 --> 00:15:43.460
white person. It wasn't about income. It wasn't

00:15:43.460 --> 00:15:45.379
about credit score. It was a race tag. It was

00:15:45.379 --> 00:15:47.960
about race. And the internal communications proved

00:15:47.960 --> 00:15:50.620
it. The lawsuit revealed that loan officers referred

00:15:50.620 --> 00:15:53.539
to black borrowers as mud people and called the

00:15:53.539 --> 00:15:57.399
subprime products ghetto loans. Mud people. That

00:15:57.399 --> 00:16:01.720
is just it's pure hate masked as banking. It

00:16:01.720 --> 00:16:04.080
means you realize that the mentality of the 1937

00:16:04.080 --> 00:16:07.279
map didn't die. It just put on a different suit

00:16:07.279 --> 00:16:09.879
and learned some new jargon. It did. And while

00:16:09.879 --> 00:16:12.240
Wells Fargo settled that lawsuit for one hundred

00:16:12.240 --> 00:16:14.940
and seventy five million dollars regarding discrimination

00:16:14.940 --> 00:16:17.840
between 2004 and 2009, they weren't the only

00:16:17.840 --> 00:16:20.240
ones. This was an industry wide practice. Right.

00:16:20.340 --> 00:16:22.480
Who are the others? Associated Bank settled for

00:16:22.480 --> 00:16:24.879
two hundred million for rejecting black and Latino

00:16:24.879 --> 00:16:28.259
applicants in Chicago and Milwaukee. Hudson City

00:16:28.259 --> 00:16:30.519
Savings Bank settled for thirty three million

00:16:30.519 --> 00:16:32.899
for avoiding majority minority communities. That's

00:16:32.899 --> 00:16:35.379
classic redlining. And for their broker. election

00:16:35.379 --> 00:16:37.259
practices. And there was a recent one too, right?

00:16:37.379 --> 00:16:40.500
Yes. City National Bank paid $31 million just

00:16:40.500 --> 00:16:44.019
last year in 2023 to resolve redlining allegations.

00:16:44.480 --> 00:16:46.399
2023. That's what I want listeners to catch.

00:16:46.519 --> 00:16:48.759
We started talking about 1937, but we are talking

00:16:48.759 --> 00:16:50.840
about settlements happening now. This is an ancient

00:16:50.840 --> 00:16:53.000
history. It's current events. Because the practice

00:16:53.000 --> 00:16:56.299
creates a legacy that is very, very hard to undo.

00:16:56.440 --> 00:16:58.820
And that brings us to the economic fallout. We

00:16:58.820 --> 00:17:00.649
need to talk about the racial wealth gap. Because

00:17:00.649 --> 00:17:02.850
wealth isn't just about income, what you make

00:17:02.850 --> 00:17:05.730
in a year. It's about assets, what you own and

00:17:05.730 --> 00:17:09.130
what you pass down. Home equity, stocks, savings.

00:17:09.490 --> 00:17:11.549
Right. It's the difference between being able

00:17:11.549 --> 00:17:13.910
to pay rent and being able to pay for your kid's

00:17:13.910 --> 00:17:16.349
college without loans. It's the safety net. Exactly.

00:17:17.240 --> 00:17:19.119
There's a study on intergenerational mobility

00:17:19.119 --> 00:17:21.059
that highlights a stuck -in -place phenomenon.

00:17:21.480 --> 00:17:24.099
It shows that black children born in the bottom

00:17:24.099 --> 00:17:27.819
income quintile, the poorest 20%, have only a

00:17:27.819 --> 00:17:31.000
2 .5 % chance of rising to the top quintile.

00:17:31.000 --> 00:17:33.980
Only 2 .5%. For white children born in that same

00:17:33.980 --> 00:17:37.460
bottom quintile, that chance is 10 .6%. That

00:17:37.460 --> 00:17:40.140
is a massive difference in opportunity. It basically

00:17:40.140 --> 00:17:42.799
says the American dream. The idea that if you

00:17:42.799 --> 00:17:45.440
work hard, you rise up works four times better

00:17:45.440 --> 00:17:47.440
for one group than the other. And the raw wealth

00:17:47.440 --> 00:17:50.680
numbers are even starker. For every $100 in wealth

00:17:50.680 --> 00:17:52.559
that a white family holds, the average black

00:17:52.559 --> 00:17:57.920
family holds just $5 .04. $5 .04 versus $100.

00:17:58.220 --> 00:18:00.660
That's not a gap. That's a chasm. It's almost

00:18:00.660 --> 00:18:03.329
nothing. Think about what that $100 represents.

00:18:03.869 --> 00:18:06.009
It's a down payment on a first home for your

00:18:06.009 --> 00:18:08.329
kid. It's a safety net if you lose your job.

00:18:08.549 --> 00:18:11.230
It's the capital to start a small business. And

00:18:11.230 --> 00:18:14.049
if you only have $5? If you only have $5, you

00:18:14.049 --> 00:18:17.490
have no margin for error. One flat tire, one

00:18:17.490 --> 00:18:20.390
medical bill, and you spiral into debt. And a

00:18:20.390 --> 00:18:22.869
huge chunk of that disparity comes from home

00:18:22.869 --> 00:18:25.490
equity. Because the homes in those red line type

00:18:25.490 --> 00:18:28.130
D neighborhoods from the 30s... They still have

00:18:28.130 --> 00:18:30.509
lower values today. So the government effectively

00:18:30.509 --> 00:18:33.809
subsidized wealth creation for white families

00:18:33.809 --> 00:18:36.829
in the suburbs while suppressing it for black

00:18:36.829 --> 00:18:39.650
families in the cities. And now we are seeing

00:18:39.650 --> 00:18:42.670
the compound interest of that decision over 80

00:18:42.670 --> 00:18:45.289
years. Precisely. It's the compound interest

00:18:45.289 --> 00:18:47.809
of discrimination. And it affects business, too.

00:18:48.069 --> 00:18:50.109
A study by Dan and Mergluck showed that black

00:18:50.109 --> 00:18:52.309
neighborhoods receive fewer commercial loans

00:18:52.309 --> 00:18:54.470
even when you account for business density and

00:18:54.470 --> 00:18:56.329
credit quality. So you can't build a business

00:18:56.329 --> 00:18:58.529
to close the gap either. The machinery is still

00:18:58.529 --> 00:19:00.930
grinding. It just has different gears now. It

00:19:00.930 --> 00:19:03.410
feels like every deer is locked. Yeah. But it's

00:19:03.410 --> 00:19:05.289
not just money, is it? We have to talk about

00:19:05.289 --> 00:19:07.349
the physical toll. This is the part of the research

00:19:07.349 --> 00:19:09.690
that really surprised me. I knew about the money,

00:19:09.730 --> 00:19:12.150
but I didn't know about the health impact. If

00:19:12.150 --> 00:19:14.549
I walk from a historically green -lined suburb

00:19:14.549 --> 00:19:18.069
to a red -lined neighborhood today, what am I

00:19:18.069 --> 00:19:20.829
physically experiencing? You are experiencing

00:19:20.829 --> 00:19:22.950
a different environment entirely. And this is

00:19:22.950 --> 00:19:25.109
where we get into environmental racism. Okay.

00:19:25.170 --> 00:19:28.880
It turns out... Those hazardous red lines didn't

00:19:28.880 --> 00:19:32.160
just signal financial risk. They invited environmental

00:19:32.160 --> 00:19:35.720
hazards. African -Americans are 75 percent more

00:19:35.720 --> 00:19:38.380
likely to live near hazardous waste facilities.

00:19:38.660 --> 00:19:40.940
75 percent. That's not a coincidence. That's

00:19:40.940 --> 00:19:42.740
city planning. That's a choice someone made.

00:19:42.839 --> 00:19:45.680
It is. If you are a city planner in the 50s or

00:19:45.680 --> 00:19:48.240
60s deciding where to put a highway, a waste

00:19:48.240 --> 00:19:50.789
treatment plant. Or a refinery. Where do you

00:19:50.789 --> 00:19:53.190
put it? You face the least political resistance

00:19:53.190 --> 00:19:55.450
in the area with the least political power and

00:19:55.450 --> 00:19:57.190
the lowest property values. You put it in the

00:19:57.190 --> 00:19:59.009
red zone. You put it in the red zone. The source

00:19:59.009 --> 00:20:01.690
material mentions a specific refinery in Philadelphia

00:20:01.690 --> 00:20:04.789
Gray's Ferry. Yes, responsible for the majority

00:20:04.789 --> 00:20:07.009
of the city's toxic emissions. And who lives

00:20:07.009 --> 00:20:09.059
there? It's a community that was historically

00:20:09.059 --> 00:20:13.319
marginalized. A 2022 study looked at 202 cities

00:20:13.319 --> 00:20:16.220
and found that redlined areas had consistently

00:20:16.220 --> 00:20:19.880
higher levels of nitrogen dioxide and fine particulate

00:20:19.880 --> 00:20:22.400
matter in the air. So you are physically breathing

00:20:22.400 --> 00:20:25.380
worse air because of a map drawn. 80 years ago.

00:20:25.460 --> 00:20:27.920
Every single day. And it's not just the air,

00:20:28.039 --> 00:20:30.900
is it? It's the heat. The urban heat island effect.

00:20:31.019 --> 00:20:33.500
I've heard of this. Right. In many cities, the

00:20:33.500 --> 00:20:35.799
redlined neighborhoods are on average 5 to 12

00:20:35.799 --> 00:20:38.039
degrees hotter than the greenlined ones in the

00:20:38.039 --> 00:20:40.480
summer. 12 degrees. That's the difference between

00:20:40.480 --> 00:20:43.019
a hot day and a dangerous, life -threatening

00:20:43.019 --> 00:20:45.359
heat stroke. Why is it so much hotter? It comes

00:20:45.359 --> 00:20:48.420
down to impervious surfaces. Concrete, asphalt.

00:20:48.980 --> 00:20:51.779
Brick. These materials absorb solar radiation

00:20:51.779 --> 00:20:54.380
all day and radiate it back out at night. Like

00:20:54.380 --> 00:20:57.339
a giant radiator. Exactly. Green neighborhoods

00:20:57.339 --> 00:20:59.579
were designed with setbacks, lawns, and tree

00:20:59.579 --> 00:21:02.059
canopies. Red neighborhoods were zoned for high

00:21:02.059 --> 00:21:05.019
density, mixed use industry, and pavement. They

00:21:05.019 --> 00:21:07.380
have far less green space. So the city didn't

00:21:07.380 --> 00:21:09.480
plant trees there. And they often don't maintain

00:21:09.480 --> 00:21:12.609
the ones that are there. Cities often use property

00:21:12.609 --> 00:21:15.210
taxes to fund local maintenance, like parks departments.

00:21:15.569 --> 00:21:18.029
If you suppress the value of the homes via redlining,

00:21:18.230 --> 00:21:22.109
the tax base crumbles. No tax base means no budget

00:21:22.109 --> 00:21:24.690
for pruning trees or cracking up concrete to

00:21:24.690 --> 00:21:27.529
plant new ones, so you get a concrete oven. And

00:21:27.529 --> 00:21:29.470
that heat isn't just uncomfortable, it kills.

00:21:29.710 --> 00:21:33.200
It acts... as a stress multiplier. If you have

00:21:33.200 --> 00:21:35.359
asthma, which you're more likely to have because

00:21:35.359 --> 00:21:37.720
the zoning laws allowed the diesel bus depot

00:21:37.720 --> 00:21:40.859
to be built next to your house, the heat exacerbates

00:21:40.859 --> 00:21:43.579
it. We see higher rates of cardiac arrest during

00:21:43.579 --> 00:21:46.160
heat waves, specifically in these zip codes.

00:21:46.380 --> 00:21:48.839
This brings us to that shocking stat about life

00:21:48.839 --> 00:21:51.950
expectancy, the death gap. It's the most visceral

00:21:51.950 --> 00:21:54.210
outcome of all of this. In Baltimore, neighborhoods

00:21:54.210 --> 00:21:56.750
that were rated red have a life expectancy five

00:21:56.750 --> 00:21:58.690
years shorter than the green neighborhoods. Five

00:21:58.690 --> 00:22:01.250
years is a lot. It is. But in Richmond, Virginia,

00:22:01.490 --> 00:22:05.319
the gap is 21 years. Wait, what? 21 years? 21

00:22:05.319 --> 00:22:08.079
years. Between a historically black neighborhood

00:22:08.079 --> 00:22:10.240
and a nearby white one, it's one of the most

00:22:10.240 --> 00:22:12.920
extreme examples in the country. That is an entire

00:22:12.920 --> 00:22:16.220
generation of life lost. That's hard to even

00:22:16.220 --> 00:22:18.720
process. How is that possible? It includes higher

00:22:18.720 --> 00:22:21.460
odds of late -stage cancer diagnoses, lower screening

00:22:21.460 --> 00:22:25.200
rates. The sources say 64 % lower for colorectal

00:22:25.200 --> 00:22:27.920
cancer in redlined areas. And science is starting

00:22:27.920 --> 00:22:29.880
to look at this through the lens of epigenetics

00:22:29.880 --> 00:22:33.140
and allostatic load. Break that down. Epigenetics.

00:22:33.480 --> 00:22:36.420
Basically, the constant chronic stress of living

00:22:36.420 --> 00:22:40.099
in a loud, hot, polluted, financially precarious

00:22:40.099 --> 00:22:42.980
environment literally weathers the body. It keeps

00:22:42.980 --> 00:22:45.000
your cortisol levels, your stress hormone high

00:22:45.000 --> 00:22:47.839
constantly. Over time, that changes your DNA

00:22:47.839 --> 00:22:50.559
expression. It accelerates aging at a cellular

00:22:50.559 --> 00:22:53.160
level. So the map isn't just influencing your

00:22:53.160 --> 00:22:56.130
wallet. It is rewriting your biology. That's

00:22:56.130 --> 00:22:57.769
what the evidence is pointing towards. And then

00:22:57.769 --> 00:23:00.170
COVID -19 happened. And I imagine that just laid

00:23:00.170 --> 00:23:02.349
all of this bare. It was a perfect storm. It

00:23:02.349 --> 00:23:05.509
was a tragic real world experiment. When researchers

00:23:05.509 --> 00:23:08.450
overlaid maps of high COVID -19 impact infection

00:23:08.450 --> 00:23:11.269
rates, death rates, they matched almost perfectly

00:23:11.269 --> 00:23:14.349
with the 1930s HLC redlining maps. Because of

00:23:14.349 --> 00:23:17.450
everything we just said. Everything. overcrowding

00:23:17.450 --> 00:23:20.170
due to housing segregation, a higher percentage

00:23:20.170 --> 00:23:22.130
of essential workers who couldn't stay home and

00:23:22.130 --> 00:23:24.569
work on Zoom, and all those pre -existing conditions

00:23:24.569 --> 00:23:27.390
we just discussed, like asthma and heart disease

00:23:27.390 --> 00:23:30.430
caused by the environmental racism. So the machinery

00:23:30.430 --> 00:23:33.029
of redlining weakened the collective immune system

00:23:33.029 --> 00:23:35.430
of these neighborhoods, making them tragically

00:23:35.430 --> 00:23:37.869
vulnerable when the pandemic hit. That's a perfect

00:23:37.869 --> 00:23:39.589
way to put it. So we've covered the history,

00:23:39.750 --> 00:23:42.309
the economics, and the health. But now I want

00:23:42.309 --> 00:23:44.430
to pivot to the present. Because you mentioned

00:23:44.430 --> 00:23:47.089
earlier that the map has changed form. It's not

00:23:47.089 --> 00:23:49.630
paper anymore. It's digital. This is one of the

00:23:49.630 --> 00:23:52.430
most insidious mutations of redlining. Digital

00:23:52.430 --> 00:23:54.910
redlining. We think of the internet as this great

00:23:54.910 --> 00:23:57.950
equalizer, right? Information wants to be free.

00:23:58.450 --> 00:24:00.170
But you're saying the algorithms have learned

00:24:00.170 --> 00:24:02.470
the same bad habits. Algorithms are trained on

00:24:02.470 --> 00:24:05.799
data. If the historical data is biased, if it

00:24:05.799 --> 00:24:07.940
reflects decades of biased lending decisions,

00:24:08.319 --> 00:24:11.319
the algorithm learns that bias. It sees a correlation

00:24:11.319 --> 00:24:14.160
between a certain zip code and defaults, and

00:24:14.160 --> 00:24:16.640
it perpetuates the pattern without a human ever

00:24:16.640 --> 00:24:19.500
making a racist choice. The machine learns to

00:24:19.500 --> 00:24:22.940
be racist. Exactly. But it's also about how ad

00:24:22.940 --> 00:24:26.000
platforms work. Take the Facebook case from 2019.

00:24:26.559 --> 00:24:29.079
HUD, the Department of Housing and Urban Development,

00:24:29.160 --> 00:24:30.700
charged Facebook with housing discrimination.

00:24:31.369 --> 00:24:33.329
How does a social network discriminate in housing?

00:24:33.509 --> 00:24:36.630
That seems strange. Facebook allowed advertisers

00:24:36.630 --> 00:24:39.930
to target or, more importantly, exclude users

00:24:39.930 --> 00:24:43.829
based on affinity groups. So if I'm a landlord

00:24:43.829 --> 00:24:45.609
and I want to rent an apartment, I could tell

00:24:45.609 --> 00:24:48.170
Facebook, show this ad to people, but exclude

00:24:48.170 --> 00:24:50.470
anyone with an affinity for Hispanic culture.

00:24:50.750 --> 00:24:52.990
Wow. So they aren't drawing a red line around

00:24:52.990 --> 00:24:54.970
a neighborhood. They are drawing a red line around

00:24:54.970 --> 00:24:57.950
a user profile. It's redlining the person. not

00:24:57.950 --> 00:25:01.009
the place. Exactly. It's non -geographic redlining.

00:25:01.230 --> 00:25:03.690
It uses proxies. They might not have a checkbox

00:25:03.690 --> 00:25:05.950
that says race, but they use your interests,

00:25:06.150 --> 00:25:08.369
your likes, the zip code you log in from, and

00:25:08.369 --> 00:25:10.569
your browsing history to achieve the same exclusion.

00:25:10.849 --> 00:25:13.230
And it happens in milliseconds inside a black

00:25:13.230 --> 00:25:15.769
box that no regulator can easily say. And this

00:25:15.769 --> 00:25:17.849
extends to politics too, right? This isn't just

00:25:17.849 --> 00:25:20.690
about ads for apartments. Absolutely. The sources

00:25:20.690 --> 00:25:24.210
call it political redlining. Campaign managers

00:25:24.210 --> 00:25:27.049
use the same kind of data to decide who is worth

00:25:27.049 --> 00:25:30.130
talking to. They might restrict political information

00:25:30.130 --> 00:25:33.789
to specific demographics they see as likely voters.

00:25:33.930 --> 00:25:36.809
Or worse. Or worse, they identify communities

00:25:36.809 --> 00:25:39.450
to discourage from voting voter suppression efforts

00:25:39.450 --> 00:25:42.410
targeted with surgical precision based on data

00:25:42.410 --> 00:25:45.130
that correlates with race. They can micro target

00:25:45.130 --> 00:25:48.130
disinformation to specific groups to lower turnout.

00:25:48.710 --> 00:25:52.119
It's terrifying because it's invisible. At least

00:25:52.119 --> 00:25:54.000
with the old maps, you could go to the library,

00:25:54.079 --> 00:25:55.460
you could find the map, you could see the red

00:25:55.460 --> 00:25:57.500
line. With an algorithm, you don't even know

00:25:57.500 --> 00:26:00.019
you're being excluded. You just don't see the

00:26:00.019 --> 00:26:02.039
ad for the house. You don't see the ad for the

00:26:02.039 --> 00:26:05.819
job. Your world is quietly curated for you. That

00:26:05.819 --> 00:26:07.880
is the challenge of the 21st century. How do

00:26:07.880 --> 00:26:10.480
you audit a black box? How do you prove intent

00:26:10.480 --> 00:26:13.559
when the intent is just a mathematical correlation?

00:26:13.960 --> 00:26:15.579
Okay, we've been pretty heavy on the doom and

00:26:15.579 --> 00:26:17.319
gloom, and rightfully so. This is heavy stuff.

00:26:17.599 --> 00:26:19.920
But we can't talk about redlining without talking

00:26:19.920 --> 00:26:22.019
about the people who fought back. Because there

00:26:22.019 --> 00:26:23.859
were people who saw this machinery and tried

00:26:23.859 --> 00:26:26.380
to throw a wrench in the gears. Absolutely. We

00:26:26.380 --> 00:26:27.980
have to talk about the grassroots movements,

00:26:28.200 --> 00:26:31.380
specifically National People's Action, or NPA.

00:26:31.680 --> 00:26:34.500
This started in Chicago in the 1970s. And the

00:26:34.500 --> 00:26:36.289
leader was... wasn't a politician or a banker,

00:26:36.390 --> 00:26:38.450
right? She was just a regular person. No, it

00:26:38.450 --> 00:26:41.690
was Gail Sincotta. She was a mother, a Chicago

00:26:41.690 --> 00:26:44.309
housewife from the Austin neighborhood. She and

00:26:44.309 --> 00:26:47.150
a community organizer named Shell Trap realized

00:26:47.150 --> 00:26:49.529
something crucial. They looked around their neighborhood,

00:26:49.710 --> 00:26:52.089
which was changing rapidly, and they saw things

00:26:52.089 --> 00:26:55.450
decaying. But they realized it wasn't just bad

00:26:55.450 --> 00:26:57.849
landlords or bad neighbors. They saw the invisible

00:26:57.849 --> 00:27:00.750
hand of the banks. They did. They realized the

00:27:00.750 --> 00:27:03.349
banks were taking the community's deposits, their

00:27:03.349 --> 00:27:06.049
savings accounts, their paychecks, and refusing

00:27:06.049 --> 00:27:08.250
to lend that money back to the neighborhood for

00:27:08.250 --> 00:27:10.799
mortgages or homework. repairs. They were exporting

00:27:10.799 --> 00:27:13.500
the capital to the new Green Line suburbs. So

00:27:13.500 --> 00:27:15.579
what do they do? How do you fight a bank? They

00:27:15.579 --> 00:27:18.579
got loud. They organized protests. They did things

00:27:18.579 --> 00:27:20.859
that were considered really radical at the time.

00:27:20.980 --> 00:27:23.279
They would bus hundreds of people to the private

00:27:23.279 --> 00:27:25.740
homes of bank presidents on Sunday mornings to

00:27:25.740 --> 00:27:28.000
demand answers. Oh, wow. They took it right to

00:27:28.000 --> 00:27:30.069
their doorstep. They embarrassed the establishment

00:27:30.069 --> 00:27:34.670
and they fought for a specific tool disclosure.

00:27:35.109 --> 00:27:37.369
Transparency. Right. They knew they couldn't

00:27:37.369 --> 00:27:39.849
win if the data was secret. They demanded that

00:27:39.849 --> 00:27:42.700
banks reveal where they were lending. This pressure

00:27:42.700 --> 00:27:45.299
is what led directly to the Home Mortgage Disclosure

00:27:45.299 --> 00:27:49.000
Act, or HMDA, in 1975. HMDA. And the Community

00:27:49.000 --> 00:27:53.079
Reinvestment Act, the CRA, in 1977. The Community

00:27:53.079 --> 00:27:54.700
Reinvestment Act. That's the one that requires

00:27:54.700 --> 00:27:56.819
banks to serve the communities they are physically

00:27:56.819 --> 00:27:59.839
located in. Right. It sounds so obvious. It sounds

00:27:59.839 --> 00:28:02.400
obvious, but it was revolutionary. It essentially

00:28:02.400 --> 00:28:05.740
made redlining illegal. It forced banks to demonstrate

00:28:05.740 --> 00:28:08.220
that they were lending in low to moderate income

00:28:08.220 --> 00:28:11.019
areas if they wanted regulatory approval for

00:28:11.019 --> 00:28:13.099
things like mergers or new branches. It was a

00:28:13.099 --> 00:28:15.420
massive victory. It didn't fix everything, but

00:28:15.420 --> 00:28:17.920
it gave activists the data they needed to sue.

00:28:18.099 --> 00:28:19.619
And there were banks that tried to do it right,

00:28:19.680 --> 00:28:23.119
too. We should mention SureBank. Shore Bank is

00:28:23.119 --> 00:28:25.819
a fascinating case study. Founded in 1973 in

00:28:25.819 --> 00:28:28.859
Chicago, their entire mission was to combat redlining

00:28:28.859 --> 00:28:31.319
by lending specifically in black communities.

00:28:31.480 --> 00:28:33.480
So they were a greenlining bank. You could call

00:28:33.480 --> 00:28:35.700
them that. They proved that you could lend in

00:28:35.700 --> 00:28:38.380
these neighborhoods and be profitable. They debunked

00:28:38.380 --> 00:28:40.720
the myth that these areas were inherently hazardous.

00:28:41.099 --> 00:28:43.299
They showed that if you provide capital, the

00:28:43.299 --> 00:28:45.500
neighborhood thrives. Proved that the risk was

00:28:45.500 --> 00:28:49.240
manufactured all along. And today... The fight

00:28:49.240 --> 00:28:52.259
continues in new ways. I saw notes about covenants.

00:28:52.519 --> 00:28:55.759
Yes. Many old property deeds, I mean thousands

00:28:55.759 --> 00:28:59.380
of them all over the country, still have racially

00:28:59.380 --> 00:29:02.319
restrictive covenants written on them. What does

00:29:02.319 --> 00:29:04.319
it mean? It's language that says, for example,

00:29:04.579 --> 00:29:07.160
this property shall not be sold to anyone of

00:29:07.160 --> 00:29:10.519
African or Asian descent. Now, those are unenforceable

00:29:10.519 --> 00:29:12.619
by law since the Supreme Court struck them down

00:29:12.619 --> 00:29:15.220
in 1948, but they are still physically written

00:29:15.220 --> 00:29:17.559
on the paper deeds in county offices. It's a

00:29:17.559 --> 00:29:19.960
ghost in the paperwork. A remnant of that old

00:29:19.960 --> 00:29:22.119
machinery. It is, and it's a painful reminder

00:29:22.119 --> 00:29:25.019
for homeowners. States like California, Washington,

00:29:25.220 --> 00:29:27.599
and Minnesota are now passing laws to help homeowners

00:29:27.599 --> 00:29:29.920
formally remove that racist language from their

00:29:29.920 --> 00:29:32.579
deeds. It's symbolic, but it's about cleaning

00:29:32.579 --> 00:29:35.160
up the historical record. And there is also work

00:29:35.160 --> 00:29:38.019
being done in the medical field. This loops back

00:29:38.019 --> 00:29:40.319
to the health impacts we discussed. This is really

00:29:40.319 --> 00:29:42.599
encouraging. Wayne State University in Detroit

00:29:42.599 --> 00:29:44.740
has a course called Healing Between the Lines.

00:29:44.880 --> 00:29:47.180
Healing Between the Lines. I like that. They

00:29:47.180 --> 00:29:49.279
are teaching medical students about redlining.

00:29:49.480 --> 00:29:51.900
The idea is that a doctor needs to understand

00:29:51.900 --> 00:29:55.579
that a patient's asthma isn't just biology, it's

00:29:55.579 --> 00:29:59.799
geography and history. If you treat the asthma

00:29:59.799 --> 00:30:02.380
with an inhaler, but send the patient back to

00:30:02.380 --> 00:30:04.759
a moldy apartment in a heat island next to a

00:30:04.759 --> 00:30:07.859
refinery, you aren't really healing them. That's

00:30:07.859 --> 00:30:10.740
powerful. Treating the patient means understanding

00:30:10.740 --> 00:30:13.319
the map they live in. You have to treat the environment,

00:30:13.440 --> 00:30:15.819
too. Exactly. It's about a more holistic view

00:30:15.819 --> 00:30:18.740
of public health. So we've gone from 1935 to

00:30:18.740 --> 00:30:21.339
today. We've seen the maps, the devastating statistics,

00:30:21.640 --> 00:30:24.779
the health impacts, and the digital future. If

00:30:24.779 --> 00:30:26.579
we have to boil this down, what does this all

00:30:26.579 --> 00:30:28.359
mean for the listener? Why does this matter to

00:30:28.359 --> 00:30:30.140
someone who maybe just bought their first house

00:30:30.140 --> 00:30:32.809
or is just renting an apartment today? I think

00:30:32.809 --> 00:30:35.029
the most important takeaway is destroying the

00:30:35.029 --> 00:30:37.670
myth of the level playing field. You often hear

00:30:37.670 --> 00:30:40.730
this sentiment of pull yourself up by your bootstraps.

00:30:40.789 --> 00:30:44.069
It's a core American ethos. Sure. But when you

00:30:44.069 --> 00:30:46.230
look at the history of redlining, you see that

00:30:46.230 --> 00:30:48.349
for 80 years, the government and the financial

00:30:48.349 --> 00:30:51.289
sector actively conspired to steal the boots

00:30:51.289 --> 00:30:54.190
from entire communities. They stole the boots

00:30:54.190 --> 00:30:56.470
and then they charged extra for the laces. Right.

00:30:56.839 --> 00:30:59.559
It explains why we see the disparities we see

00:30:59.559 --> 00:31:01.660
today. It's not a culture problem. It's not an

00:31:01.660 --> 00:31:05.119
effort problem. It's a structural problem. The

00:31:05.119 --> 00:31:07.500
machinery was designed to produce this result.

00:31:07.680 --> 00:31:10.220
And the machine is still humming in the background,

00:31:10.400 --> 00:31:12.660
just maybe a little quieter now, hidden behind

00:31:12.660 --> 00:31:15.220
algorithms and credit scores. And that leads

00:31:15.220 --> 00:31:16.980
me to my final thought for everyone listening.

00:31:17.119 --> 00:31:20.180
We talked about algorithmic redlining. The original

00:31:20.180 --> 00:31:22.599
redlining was done with pen and paper, and it

00:31:22.599 --> 00:31:26.890
took 50 years of activism to outlaw. Today? Decisions

00:31:26.890 --> 00:31:29.410
about your mortgage, your job application, your

00:31:29.410 --> 00:31:32.109
insurance rates are made by AI. In a fraction

00:31:32.109 --> 00:31:33.849
of a second. So the question I want to leave

00:31:33.849 --> 00:31:37.390
you with is, how do we police redlining that

00:31:37.390 --> 00:31:40.829
happens in milliseconds inside a black box? If

00:31:40.829 --> 00:31:43.349
we don't figure out how to audit the code, are

00:31:43.349 --> 00:31:46.690
we just doomed to repeat 1937 forever, but at

00:31:46.690 --> 00:31:48.589
the speed of light? It's the question of our

00:31:48.589 --> 00:31:51.650
time. Awareness is the first step, but vigilance

00:31:51.650 --> 00:31:54.630
is the price of fairness. On that note, thank

00:31:54.630 --> 00:31:56.890
you for taking this deep dive with us. It wasn't

00:31:56.890 --> 00:31:58.809
a light topic, but it's an essential one if you

00:31:58.809 --> 00:32:00.930
want to understand how our cities and our society

00:32:00.930 --> 00:32:02.990
actually work. Always a pleasure to connect the

00:32:02.990 --> 00:32:05.190
dots. We'll see you on the next deep dive. Keep

00:32:05.190 --> 00:32:05.769
asking questions.
