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Say What You're For, with Anat Shenker-Osorio
Episode 1526th June 2025 • Cross Tabs • Farrah Bostic
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In this episode, Farrah Bostic is joined by messaging strategist, author, and Words to Win By host Anat Shenker-Osorio for a wide-ranging and incisive conversation about political communication, campaign strategy, and why so much of what the Democratic Party does feels like a missed opportunity.

Together, they explore:

  • How Anat’s early fascination with language and justice led her to a career in cognitive linguistics and progressive messaging.
  • Why most political message testing (RCTs, MaxDiff, etc.) fails to reflect how real people encounter campaigns — and what to do instead.
  • The danger of focusing on persuasion over mobilization, and why “say what you’re for” is the most important rule in campaign comms.
  • How Democrats lost their working-class identity, and why organizing — not polling — is the only way to win it back.
  • The power of persuasion windows and how the left can seize — or squander — them.

This episode is a must-listen for anyone working in politics, messaging, organizing, or simply trying to make change in a noisy, distracted, and deeply unequal world.

🔗 Resources & Mentions:

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💬 Follow us on BlueSky: @crosstabspod.bsky.social

📍 Produced by The Difference Engine

Transcripts

Farrah Bostic:

Welcome back to Cross Tabs, a

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show about people, data and

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power.

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I'm your

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host, Farrah Bostick.

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So last night, as I record this,

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assemblyman Zohran Mamdani won the

first round of ballots in the Democratic

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primary for the New York City mayoral

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race.

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Andrew Cuomo, a previously disgraced

three term governor of the state

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conceded.

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We do not know whether this will be

a three, four, or five way general

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election, come the fall.

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But we know that Mamdani won last night.

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I mentioned this in

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part because we refer to the race in

this conversation, which took place

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about a week before the vote counting

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began, and also because I think

the Momani candidacy and campaign

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embodied a variety of things.

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I talk about with my guest, the

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host of the Words to Win by

podcast and founder of a SO

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Communication, an Shankar as Sorio.

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Anat is an incisive analyst of

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why certain messages falter where

others deliver, and she has led research

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on issues ranging from freedom to

clean energy, from immigrant rights,

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to reforming criminal justice, as

well as joining together in union

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and unions.

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She brings an innovative approach to

research that has led to progressive

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victories around the world.

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She's also the author of Don't

Buy It, the Trouble With Talking

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Nonsense About the Economy.

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I invited her on to talk about

how she came to do her work,

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how the Democratic Party got to

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where it is right now, and how voters

can move the party to where it needs

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to be if it's really going to earn

its name as the Democratic Party.

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Here's our conversation.

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Okay.

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So Anat, thank you for joining

me for this conversation.

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The place I like to start all of these

is just getting a little sense of how

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did you get to here, how, what was

your sort of career path that brought

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you to the work that you do now?

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Anat Shenker-Osorio: When I was in

kindergarten, , the teacher gave

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every single one of us a very special

notebook, and my very special notebook

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had on the cover the Muppet Show

specifically with animal on the drums

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in the middle and like the rest of

the Muppets, as some ragtag band.

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And then the principal called

her over the loudspeaker to

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come into the office and she, I.

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Sort of scrambling, said, okay, I have

to go to the office while I'm gone.

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Just like draw on the first

page of your notebook.

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And everybody got their own special

notebook with their own special cover.

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And she was out of the room for

roughly four seconds before a bunch

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of kids started sort of teasing

and harassing the kind of boy that

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they always teased and harassed.

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And they took his notebook and they

ripped off the cover and he was crying.

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She came back into this chaotic

scene and she was very upset.

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And she said, I'm taking

all of your notebooks back.

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And she collected all of our notebooks.

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And I got very

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upset back.

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And I said, but not all

of us were doing it.

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Not all of us were

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harassing that kid.

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Why are you taking all of our notebooks?

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And she said, did you stand up for him?

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Did you tell them to stop it?

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Did you go out in the

hallway and find a teacher?

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Did you do anything?

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I was like, no.

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I just sat and drew in my

notebook as I was instructed.

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And she said, if you're not part of the

solution, then you're part of the problem.

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And that perhaps isn't exactly what

you meant with your question, but that

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is how I remember and understand my

origin story in progressive politics and

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in a desire, You know, at the risk of

sounding like silly and saccharin and

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grandiose to wanna try to make the worlds

better or at least slightly less shit.

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And the way that that manifested

for me was through the vehicle of

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linguistics and cognitive linguistics

and understanding why certain

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messages resonate and others don't.

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That was something I became interested in.

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Very early on.

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I grew up in a multilingual household.

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My mom speaks seven languages.

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She's an interpreter.

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I grew up speaking multiple languages

and so became sort of fascinated

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with language as a vehicle.

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For, communication, understanding,

learned in my undergraduate studies

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about folks like George Lakoff

and Eve Sweeter and Zan ish.

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And so knew to some degree that we

could construct communication campaigns

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for political issues, whether they be

electoral or you know, social justice

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issues in a way that was less haphazard in

a way that was more this message is more

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likely to resonate with people because

it is built on this metaphor that kind

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of has entailments or in more plain speak

implications that are more advantageous

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for what we need people to understand.

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This one seems not so good and

so on, and so when I then went

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to work in communications.

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I quickly saw, I think as most people

quickly see, at least in political

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communications, you may have a different

experience from the marketing side.

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I'm actually curious that a lot of

the way that messages were decided

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were sort of stick the finger in

the wind and be like, that sounds

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good, or my absolute favorite answer.

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You know, why'd you name your

campaign that the URL wasn't taken?

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I'm like, oh, well then it must be

really compelling if no one in the

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history of the internet wanted it.

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That must be like a really

snappy thing to call it.

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And so seeing sort of the

way that comms was done on

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campaigns, and I mean both like.

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Ballot initiatives, electoral,

but also like issue campaigns.

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And then knowing that, you know, it could

be done this other way, I eventually

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through different twists and turns,

went to graduate school at Berkeley.

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Still live in the Bay area.

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Never, never left after

coming here for that.

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Studied public policy, also

studied with Lake off and on the

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public policy side, became really

steeped in empirical testing.

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So.

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Essentially, at least the way that it

is structured here at, at Berkeley, it's

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kind of like an econometrics degree.

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It's just a lot of statistical methods.

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It's a lot of experiments and like

understanding how to look at polling and

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look at randomized control trials and

understand them So fast forward ahead.

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Worked at a place that no longer exists

called the Rockridge Institute, which

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Lakoff founded, which was intended to take

what had been, you know, arcane academic

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theories around, conceptual metaphor and

apply them to actual political discourse

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to try to change how campaigns were made.

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Went on eventually to, make my own

consulting firm, and then after doing

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it analytically for a while, so like,

ooh, did a big study on metaphors

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for the economy and found that.

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There is a preponderance

of naturalistic metaphors.

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So the economy is unhealthy,

it's thriving, it's suffering.

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We need to resuscitate the patient

versus mechanistic metaphors, we need

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to get the economy on the right track.

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It's on the wrong track.

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Obama famously said, we need to move it

out of R into D, which is both reverse and

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drive, but also Republican and democratic.

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You know, a lot of the language

of economics is actually derived

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from the language of physics.

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You know, we have friction, we have

accelerating job losses, and then doing

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actual experiments that demonstrate

what the analytic conclusions implied,

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which is that when you're likening the

economy to naturalistic things, you are

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actually sort of foregrounding the idea

that it's best left to its own devices.

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Because of course, in cases of emergency,

you know, you want dialysis or you want

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a defibrillator, or you want, you know.

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Whatever.

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Like if you're having a heart attack or

a stroke, you need immediate assistance.

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But as far as breathing, digesting,

the, the business of daily living,

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like you're not trying to get me to

come there and like, push on your

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lungs or like help you swallow.

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That doesn't sound like a good time.

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So in contrast, mechanistic

metaphors, the idea of the economy

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being likened unconsciously to a

vehicle suggests a role for a driver

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Farrah Bostic: Mm mm-hmm.

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Anat Shenker-Osorio: and I do live

in California, Waymo cars aside.

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Most

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Farrah Bostic: On fire or not.

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Yeah.

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Anat Shenker-Osorio: fire or not.

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Most people think of vehicles

as requiring a driver,

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Farrah Bostic: Right.

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Anat Shenker-Osorio: whether they're a

train or a car or a plane or whatever.

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And so then wrote a

book about don't buy it.

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The trouble talking

nonsense about the economy.

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That was like built out of.

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This, but then also started doing

experiments where we would prime people

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with different metaphors and then

ask them their policy preferences.

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And sure enough, people who had been

primed with, a different metaphor,

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let's say for inequality would

want a different level of taxation.

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Farrah Bostic: Mm.

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Mm-hmm.

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Anat Shenker-Osorio: So then fast

forward again, this is the long answer.

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Sorry.

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Did that for a long time.

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Here's a giant research project that you

asked me to do, like you spent money.

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To get me to and get me and many,

many colleagues, these things.

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I didn't do them by myself to, do

a gajillion focus groups, which

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are expensive, and to do a giant

survey or to do a randomized control

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trial or to do all of the above

and then produce what I thought

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were super clear directives, right?

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Say this, don't say that this is a

good message, this is a bad message.

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It's a good metaphor.

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It's a bad metaphor,

this word, not that word.

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And like tried to make them as

kind of clear cut as possible.

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And then sure enough, lo and behold, very,

very few people changed their messaging.

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And it took me a while.

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I'm embarrassed to tell you that I

had to realize that all of the biases

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and heuristics that we all rely upon

as human beings to come to judgements

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on complex issues and deal with the

cacophony of noise that surrounds us.

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Those are just as present in progressive

strategists and activists as anyone else.

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'cause that's how people, people.

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And so just because you spent however

much money to have a new messaging

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solution doesn't mean that when it

comes time to sit down and write your

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press release or give your interview

or write your social media post or

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whatever, you wouldn't default to

whatever your habituated message was.

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That's exactly what would happen.

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So then I began to stay the course

in more lengthy engagements where I

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wouldn't just do the research project.

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Here's the deck, here's

the messaging guide.

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Good luck, but would actually design

sort of full 360 campaigns with ads,

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with slogans, but also with actual

physical events that were designed to

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move out of a old frame into a new one.

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And then the last chapter, I mean

more or less is that I did that

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for a while, had successes, won

some stuff with other people, lost

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some stuff as happens inevitably.

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And I realized that my number one

messaging directive that, asterisk,

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like some terms and conditions

apply, but is say what you're for.

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Say what you're for, say

what you're for that.

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Like if all you've got is two seconds,

three seconds, then the most important

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thing is that you need to tell people

what you want them to do and stop telling

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them what you don't want them to do.

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Farrah Bostic: Mm-hmm.

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Anat Shenker-Osorio: The analogy I

usually use is when you take a kid to a

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pool, a competent lifeguard, if they're

running, will yell, walk, because if

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you yell, don't run at a kid, they'll

start running either to defy you

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or because you yelled, run at them.

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And so we're constantly

telling people, stop this.

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Don't do this.

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Don't have that.

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We don't want this and

this don't have that.

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Thereby feeding the

discourse of the opposition.

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So say what you're for.

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And then I realize that almost all

of my presentations involve me being

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like, look at this terrible message.

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Why are you using this terrible message?

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This is a very bad message.

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This is why this is a very bad message.

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I tested it and now here is

evidence about its badness.

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And so then I came to make a podcast

called Words to Win By Where?

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With some exceptions.

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The episodes are each

about a campaign we won.

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So that I could walk my talk

and be like, no, actually using

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progressive principles, strategies

and messages actually does work.

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Here's proof.

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So that's my story.

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Farrah Bostic: I I'm curious

about any kind of, you know, I

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was reflecting on this earlier.

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Over 20 years of doing this.

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There are some approaches and tools that

I think are valuable for developing a

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strategy that's like clear, decisive,

everybody knows what to do, and then

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there's stuff that's like, it's great.

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It might be the gold standard.

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It's,

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If you have the time and the money and and

the team and the resources and everything

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else, go ahead.

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But it also might just sort of

yield a lot of that like academic

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stuff that everyone just kind of

memory holes or goes, you know, goes

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one in one ear and out the other.

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I'm curious if you've had any evolutions

on, like, methods that you think are

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still worth doing and methods that

you think are like, if we've got the

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time and the resources, let's do it.

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If we don't, there are better tools.

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Anat Shenker-Osorio: Yeah, I mean, you

know, as like messaging research lady,

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Farrah Bostic: Mm-hmm.

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Anat Shenker-Osorio: spend a lot of my

time telling people not to do research,

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Farrah Bostic: Same.

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Anat Shenker-Osorio: and oftentimes

in progressive landia doing

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research is a substitution.

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For not doing organizing,

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because organizing is hard and it is labor

intensive and it is resource intensive.

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And so, maybe the solution is we'll just

do another project to try to figure out

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the exact wording choices to sell people

convince people that like, actually

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immigrants are awesome and you know, we're

all the better for having them here and,

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and that we should pass X, Y, Z policy.

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And in fact, a message is like

a baton that has to be passed

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from person to person to person.

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And if it gets dropped anywhere

along the way, by definition

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it can't persuade them, which.

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Seems like the most obvious thing in

the entire world, that a message that

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nobody hears cannot persuade them.

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And for some reason that concept,

which I would argue is probably the

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least controversial thing that I ever

say, is something that I have been

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pretty much incapable of getting.

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Certainly the Democratic establishment.

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And you know, I don't just work in

the US like the Labor Party in the

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uk, you know, other center left

parties in other places to understand.

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But like oftentimes, especially right

now in the middle of the throes of

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this fascist power grab, you wanna

like stop and have deep thoughts

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about the feelings of American men.

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Like are you fucking kidding me?

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So.

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I just, you know, we

don't, got time for that.

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And also we are sitting

on a pretty giant body

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Of research into

perceptions and persuasion.

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The problem is that we haven't actually

come up with strategy and we don't

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have the rigor and the discipline of

implementation because it's been a very

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long time since there has been robust

sustained organizing in this country.

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And part of that is the intentional

and very deliberate destruction

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of labor unions, which of course

is like a basis and an important

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hub and home for organizing.

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But it is also because there was a

shift many years ago in progressive

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organizations away from organizing

toward what is known as field.

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Field is GOTV.

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It's registering voters.

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It's turning them out, you know, during

the week or the day of or whatever.

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And those are important things to

do, but we can't vote our way to

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democracy and the idea that we ever

could have is slightly mind-boggling.

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And so we became trapped in a thing

where we had to keep telling people

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to go vote, to go vote, to go vote.

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But we aren't capable of providing them

candidates that feel meaningful to them.

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And the act of voting and electing people

actually all too often doesn't alter

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the material conditions of their lives.

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And then we have to go through and

convince them again when old school

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organizing is, you know, old wait,

awakening people to a political analysis.

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All of their own power and then

getting them to view themselves as

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agents so that they then act as your

choir to go awaken other people.

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I feel like I, I got

away from your question.

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I'm sorry.

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Farrah Bostic: No, actually you, you

got to my kind of hidden question,

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which is, you know, the first

question was how did you get to here?

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My second hidden question was, how

did the Democratic party get to here?

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I mean, Mike and I have talked about

this also, the kind of deliberate

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dismantling of the influence And also the

power of labor unions as an organizing

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force And as one allied with.

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Progressive politics.

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But that organizing piece, I think is

the thing that I'm also kind of, was

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getting at with methods that

are useful versus not, because

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it does feel like everyone is

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like, I need $20 million

to study young men.

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We need to do testing on which, you

know, podcast format is the most

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persuasive to those young men.

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We need to do infinite numbers of

randomized controlled trials which Like is

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a thing we almost never do in marketing.

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Like we, we do them, but not really.

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And it's because it's just sort of

like, that's expensive, it's time

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consuming, and we already kind of know

the direction we're heading in because

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we've already done this other work.

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And like, we need to get to a

decision and we need to go make

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stuff and put it out in the market.

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, How much testing do we wanna do?

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So the other thing we look for

is like big sweeping differences.

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Not little incremental conjoint

analyses of different configurations

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of the exact same message over and over

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Anat Shenker-Osorio: oh, the number of

max diff analyses that I have to sit

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through and the like idea, I'm sorry

to cut you off, but like the idea

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that the ads that you tested in an

RCTA randomized control trial for your

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audience, you've probably explained

what that is before, where you've forced

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people to give you their attention and

they are required to read your a hundred

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words or 70 words, or listen through

your 32nd ad, or, you know, look at

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your slogan or whatever you're testing.

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And know that they're consciously

being studied, are aware that they're

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like in an experimental condition.

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And then you think that that has any

sort of meaningful relationship to

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the real world where the number one

job of the message is to make people

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stop scrolling in the first place.

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Farrah Bostic: Right,

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Anat Shenker-Osorio: And if they're not

willing to listen to your thing, because

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you sound like the adults in the Peanuts

cartoon, you know, then this beautiful

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thing that you know, tested So perfectly

in this like encapsulated a hundred word

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or 30 second or whatever version with the

visuals that you picked out just right.

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And like the song cues that

you picked out just right.

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And to be clear, I'm a person

who does RCTs, like, I think

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that they have a purpose.

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They can signal directionality,

they can, if you're gonna take

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big swings, which you should.

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I often tell people if you do.

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A survey or an RCT or whatever

and you don't have anything.

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Bomb abysmally.

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Bomb abysmally.

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That means that you wasted a lot

of money testing ecru against

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off-white, against eggshell.

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And like some of these tests,

they end up being the world's

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most expensive copy editing.

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They're experimenting with

like the most minuscule.

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And for the most part, those

differences are so small that you

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can't actually detect anything

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. In an RCT and, Yeah.

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Farrah Bostic: Yeah.

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Yeah.

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I mean this is, you know, in the, in

the universe of doing multivariate or

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AB testing for messaging for startups or

something that, that I have worked with.

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One of the biggest challenges has

been to get them to test things

368

:

that are actually different

369

:

from each other there's a, a

kind of famous story about Google

370

:

testing, I don't know, 57 shades

of blue or something like that.

371

:

And this became like , the kind of hot

topic du jour amongst UX researchers

372

:

was, we're gonna do this incredible

multivariate testing and get really

373

:

specific about stuff, to your point,

really expensive copy editing,

374

:

really expensive art direction.

375

:

And it's, you know, there are

so many problems with this.

376

:

Like most startups just don't have the

site traffic of Google to be able to see

377

:

significant to their business lift from

one shade of blue to another or whatever.

378

:

But this is.

379

:

There is a, there is a book that

is called testing to destruction.

380

:

And this is like the thing we're

all trying to hopefully avoid in

381

:

our work is not test to the point

that we, there's just nothing left.

382

:

But to your, equally to your point,

something has to fail otherwise

383

:

you're just sort of, I don't know.

384

:

I used to work for a company

that was always like,

385

:

we're here to maximize ideas.

386

:

It's not a bake off or a beauty contest.

387

:

And I was always like, actually,

my clients would like to know

388

:

which of their babies is ugly.

389

:

And I should probably tell them

because they're not all beautiful.

390

:

They never are.

391

:

But that, that also leads me

to kind of this question about

392

:

what they choose to test.

393

:

Because I mean, during the election

there were some of these, you know,

394

:

these MaxDiff tests that were being,

shared by various groups that were

395

:

doing these kinds of message tests.

396

:

And I just kept looking at those

statements going, there's all kinds

397

:

of stuff you didn't ask about.

398

:

And so what were your kind of ingoing

beliefs about what was relevant to voters,

399

:

And how sure are you about those things?

400

:

And how much of those are actually

just sort of dictated by your

401

:

donors or dictated by your own

beliefs about what centrist policies

402

:

win elections or whatever, and

I'm, I'm curious about how should

403

:

those tests be constructed?

404

:

If you're gonna do them how

are they typically constructed?

405

:

Anat Shenker-Osorio: I mean, it's

hard to speak in the aggregate

406

:

like that because like, it depends.

407

:

It depends.

408

:

Is it a big old test which happens

less frequently on like how to

409

:

talk about trans people and getting

affirmative healthcare, which,

410

:

we've done lots and lots of work on.

411

:

Is it about trying to make

a case for immigrant rights?

412

:

Is it about, Kamala Harris and how to

best sell Kamala Harris or someone in a

413

:

Senate race or someone in a house race?

414

:

So.

415

:

It depends a little bit.

416

:

But when I am doing these

417

:

Farrah Bostic: Mm-hmm.

418

:

Anat Shenker-Osorio: the first step

that my team takes is that we conduct a

419

:

language analysis in order to understand

the range of ways a thing could

420

:

possibly be argued in the first place.

421

:

And we go looking across many

different sources, pop culture

422

:

what we call unmotivated speech.

423

:

So these are people posting on social, but

they haven't been like directed to do so.

424

:

So the difference between like, you know,

use hashtag no kings and like say why

425

:

you're marching, that would be motivated.

426

:

Social speech versus just like

someone posting about, you

427

:

know, I can't stand taxes.

428

:

I can't believe I have to pay taxes.

429

:

If you're doing a project on

like how to reframe taxes.

430

:

So, down to, I've done projects on

perceptions of pregnancy in order

431

:

to better understand what effective

abortion messaging would be, and like

432

:

spent lots of time looking at people

and us because celebrity pregnancy, I

433

:

mean, they love to talk about pregnancy.

434

:

And so the formulation of public

consciousness about an idea,

435

:

let's stick with pregnancy.

436

:

Like where does it come from?

437

:

I mean, partly it comes from what

to expect when you're expecting.

438

:

Partly it comes from like the cover

photo of Beyonce, pregnant with twins,

439

:

but you know, partly it comes from

kind of cultural stories, whatever.

440

:

So what is the range of ways people

could possibly reason about this thing,

441

:

and which ones seem most promising

and which ones seem most problematic?

442

:

And then from

443

:

there, construct different

frames that really differ.

444

:

And so like to, to give you a super

concrete, for instance, a hundred

445

:

years ago I did a big project with an

organization called America's Voice.

446

:

And it was led by a

strategist named Ryan Clayton.

447

:

It was with Lake Research

Partners to really try to get at

448

:

like, how could we reframe this

entire immigrant rights debate.

449

:

This was 2012, or may have even been

:

450

:

And in that, during the language

analysis, the initial phase, we also

451

:

did these elicitation interviews,

452

:

language analysis is, let's look at

the range of ways this is communicated

453

:

about both in opposition and in

popular culture and in advocacy.

454

:

Elicitation interviews are

only with true believers like

455

:

people who are pro your thing.

456

:

And we asked, and we did like a hundred.

457

:

Ryan was very thorough of these interviews

and we asked all these immigrant rights

458

:

advocates, how would you describe who

an immigrant is to a 4-year-old child?

459

:

Farrah Bostic: Mm-hmm.

460

:

Anat Shenker-Osorio: And almost

universally they said a person who moves.

461

:

And in the language analysis prior

to doing these interviews, one of my

462

:

subheadings was there's very little

immigrating in the immigration debate.

463

:

And it was noting, you know

what's interesting about this

464

:

debate in the discourse is

that there's a lot about harms.

465

:

There's restrictions, there's the border,

there's status, there's visas, there's

466

:

green cards, there's this, there's that.

467

:

You know, there's like putting food on the

table, there's families, there's whatever.

468

:

But there's very little

discourse about moving.

469

:

. And again, people say

like, what is an immigrant?

470

:

It's a person who moves.

471

:

So then when we're constructing the

frames to test, one of the frames

472

:

that I wrote was the same is true

today has been throughout history.

473

:

People move to make life

better for themselves.

474

:

It's hard to move, to pack up

everything and go to a new place.

475

:

Takes courage.

476

:

But you do it to get your kid

into a better school, put food on

477

:

the table, or make a better life.

478

:

Immigrant Americans move here

for the promise of freedom and

479

:

opportunity in this country.

480

:

And we think that's great.

481

:

America's supposed to be the land

of the free and the home of the

482

:

brave, and that's a good thing.

483

:

So let's make it that way.

484

:

We tested that.

485

:

We tested a traditional nation of

immigrants message and we swung

486

:

into a message that I knew would

not work, but I wanted to see

487

:

who liked it and who hated it.

488

:

I called that message,

immigrants are bad asses.

489

:

It more or less went.

490

:

You see a fence and you

think I'll jump over it.

491

:

Someone tells you no and you hear,

convince me you don't follow the rules.

492

:

You make your own rules, and that's

why people who came here without

493

:

documentation are more American than the

people who wasted all that time in line.

494

:

I was like, let's write a message in

which undocumented immigrants are better

495

:

Farrah Bostic: Mm.

496

:

Anat Shenker-Osorio: or can we, can we

actually go all the way over there and

497

:

be like, no, let's just get into the

John Wayne cowboy of it all and be like.

498

:

Farrah Bostic: Yeah.

499

:

Anat Shenker-Osorio: Fuck it.

500

:

I'm gonna make my own way.

501

:

And you know, that message,

502

:

obviously, I'm never gonna promote

a message that says you hear no

503

:

and you think it means convince me.

504

:

Farrah Bostic: Right?

505

:

Anat Shenker-Osorio: So that

wasn't ever gonna go out.

506

:

But I wanted to understand who in my very

large sample this scratched an itch for.

507

:

And so the point of this

illustration is that people move

508

:

was extraordinarily successful.

509

:

And when I say successful, I mean this

is the other problem with the testing.

510

:

The dependent variables selected are.

511

:

All too often approval with the message.

512

:

I'm like, the message isn't

running for homecoming queen.

513

:

The message's job isn't to

garner greater approval.

514

:

The message's job is to move people

from, not wanting the policy to

515

:

wanting the policy, but equally,

if not more importantly, from

516

:

wanting to do something about it.

517

:

Because in reality, in this country, as

you know, public opinion is meaningless.

518

:

I know, 'cause I get paid to measure it.

519

:

The number of policies that

have supermajority support

520

:

Farrah Bostic: Mm-hmm.

521

:

Anat Shenker-Osorio: super, you know.

522

:

Like different kinds of gun restrictive

measures, legalized abortion, raising the

523

:

minimum wage, having available healthcare

like you and I could go on and on.

524

:

We could list policies that have

majority, if not 80, 90% approval.

525

:

What political scientists have shown

is that the correlation between public

526

:

approval for a policy and its likelihood

of passing is essentially zero.

527

:

. And so if we know that, then why are

we chasing after approval when the

528

:

only thing that actually predicates.

529

:

A policy being passed or a policy

people hate being blocked is action.

530

:

Why aren't we attempting to measure for,

would this make you want to get up off the

531

:

couch and go put your body on the line?

532

:

As we saw during the ACA fight in

the first Trumpocene to be like,

533

:

hell no, over my literal dead

body, because that's the only thing

534

:

that actually alters conditions.

535

:

Farrah Bostic: Mm-hmm.

536

:

I mean, this is, there are parallels

in our universe of years ago, we

537

:

basically abandoned the likability

question we show you an ad and

538

:

ask you if you like it, who cares?

539

:

Does it change your mind about anything?

540

:

Or you gonna more likely to buy it?

541

:

Less likely to buy it?

542

:

Does it turn you on?

543

:

Turn you off?

544

:

Those things are.

545

:

Far more important.

546

:

So we have a host of other

measures as opposed to as

547

:

opposed to just pure likability.

548

:

Similarly, I think, I hope most of us

have abandoned the the recall metric.

549

:

Like, do you remember

seeing an ad from Tide?

550

:

People are gonna say yes or no,

but it who care again, who cares?

551

:

Like what do you remember about it

is frankly more important than that.

552

:

You remember that you ever saw a message

for it and a lot of times you just see

553

:

correlations of like how well known

the brand already is, gives you kind

554

:

of artificially high recall scores.

555

:

The fun one is to ask, do you

recall seeing an ad from Brand

556

:

X in the last three months?

557

:

But we haven't run any ads in

the last three months, right?

558

:

And people, yeah, I have heard, I have

seen some ads because I've heard of you.

559

:

And so they just take

that as a proxy for it.

560

:

So instead what we turned

to was a recognition score.

561

:

So we show you some like two seconds

from the ad that doesn't have the

562

:

product or the name in it, and

ask you if you've seen it before.

563

:

And then if you can identify the brand.

564

:

And if you say, oh yeah, I've seen that,

and you correctly identify the brand,

565

:

then we know that that ad like lodged

in your brain somewhere, like you will

566

:

recognize it again when you see it.

567

:

And we know that like recognition

is a, is a proxy for familiarity.

568

:

And the more that, we, we have

a whole kind of idea of like

569

:

mental and physical availability.

570

:

And mental availability is, I

know you, when I see you, I know.

571

:

I, I recognize you.

572

:

And in the store I ran an experiment

once with my mom 'cause I was trying

573

:

to explain years ago, Tropic changed

their packaging and went to this

574

:

like extremely streamlined

Send Serif font.

575

:

The straw was gone, The literal

orange was gone, the bubbly type

576

:

face for Tropicana was gone.

577

:

And sales just were demolished by this.

578

:

And the reason was not, people said

they hated the redesign, but the real

579

:

issue is when they went into the store,

they couldn't find the Tropicana.

580

:

Anat Shenker-Osorio: Right.

581

:

Farrah Bostic: Because it didn't

look like Tropicana anymore.

582

:

and so I played this game with

my mom where we were about to

583

:

walk down like a canned soup or

canned goods aisle at Target.

584

:

And I was like, okay, before we walk

down the aisle, before we walk down the

585

:

aisle, I want you to just tell me, if

I say Del Monte, what do you picture?

586

:

If I say Campbell's, what do you

587

:

picture?

588

:

If I say Hunts?

589

:

what do you picture?

590

:

Whatever.

591

:

And she was like, red,

green, red and white.

592

:

And I

593

:

was like, right.

594

:

You don't have to read the label to

595

:

know

596

:

which can is which when you walk down

the aisle, you can, in your peripheral

597

:

vision, grab a Campbell soup can,

the only reason you're reading it

598

:

is to tell the difference between

cream of mushroom and chicken noodle.

599

:

Like that's, that's the

only thing you're doing.

600

:

And there's a lot of those

kinds of metrics that

601

:

are just far more useful.

602

:

And every time I see, like there were,

I can't remember who did it, there

603

:

was some conjoint analysis of various

messages about Kamala Harris during

604

:

the campaign that were like all

the ones that are positive and

605

:

about her background, those perform

better than all of the ones that

606

:

also have anything negative to say

607

:

about Trump in it.

608

:

And this seemed to be wrapped

up in the narrative of everybody

609

:

already knows how bad Trump is

We don't have, that's baked in.

610

:

We don't have to persuade

anymore about that.

611

:

But we have to, you know,

make her knowable to people.

612

:

We have to introduce her.

613

:

to people 'cause they

don't know much about her.

614

:

And, and again, like the metric was

which of these messages do you like the

615

:

best as opposed to like.

616

:

Do they actually move the needle in

any particular way on your behavior?

617

:

Anat Shenker-Osorio: to be fair.

618

:

The, the kind of gold standard

metric when it comes close to

619

:

election time is usually vote choice.

620

:

So usually what is being measured

in an RCT is people in all the

621

:

conditions, the control condition,

and all of the treatment conditions

622

:

are asked, you know, if the election

were held today, vote, vote him,

623

:

vote her vote, you know, whatever.

624

:

And it's a logical metric.

625

:

It's, that makes sense.

626

:

But here's the issues with it.

627

:

The first is that in many of these tests,

it would asked as a two-way instead

628

:

of a, and by a four way, I mean third

party and stay at home in reality,

629

:

the choice is not Harris or Trump.

630

:

The reality is Harris Trump,

when he was still there, RFK.

631

:

But most importantly there is always a

third candidate in our two party system.

632

:

And the third candidate is the couch.

633

:

Farrah Bostic: Right.

634

:

Anat Shenker-Osorio: So that's one thing.

635

:

And, and some of them did do

four way and some of them didn't.

636

:

Whatever.

637

:

I'm not making a blanket statement.

638

:

But the other challenge

is that mobilization,

639

:

are you gonna vote?

640

:

Are you not gonna vote?

641

:

Is extraordinarily hard to measure

because it is the, I will pay

642

:

you tomorrow of public opinion

research, by which I mean it is the

643

:

thing people lie about most often.

644

:

So lie isn't even fair.

645

:

They mean their answer.

646

:

Like they, they do mean that they're

going to, because regardless of

647

:

voter participation rates, voting

is a socially positive behavior.

648

:

Like you're supposed to vote, people know

you're, that you're supposed to vote.

649

:

And so you know, are you going to vote?

650

:

the answer is yes.

651

:

Right?

652

:

And in general, anytime people are

surveyed about their intention to vote,

653

:

it's like 90% of people are gonna vote.

654

:

But like that's never happened.

655

:

So clearly some people are wrong.

656

:

that.

657

:

And you know, we don't know

which ones that's the issue.

658

:

So I mean, in some cases we know,

like we know that habitual voters

659

:

are going to be habitual voters

because they always are gonna vote.

660

:

But among the, the infrequent

voters or among the newly

661

:

eligible, like we don't know.

662

:

So basically because mobilization is very

difficult to measure in channel, that's

663

:

what all of these tests are in channel.

664

:

You have a captive audience.

665

:

What's essentially happened is that the

mainstream kind of democratic outfits that

666

:

have all the money and all the power and

all the decision making they've chosen

667

:

just not to try to measure it because

668

:

Farrah Bostic: Hmm.

669

:

Anat Shenker-Osorio: it, it

doesn't sort of translate infield.

670

:

Like 90% of people telling you

they're gonna vote is not 90% of

671

:

people telling you uh, actually vote.

672

:

So they just measure vote choice.

673

:

Instead of experimenting with different

ways of trying to get an indicator

674

:

on mobilization, which could involve,

for example, embedding within a

675

:

test, like a voter registration link.

676

:

Do people click on it or

do they not click on it?

677

:

Embedding within a test, a donation page.

678

:

If someone is willing to do that,

that's a higher bar than voting.

679

:

So that's not a perfect measure.

680

:

You can't get a perfect measure.

681

:

But like that's something, so there

are things that we could be doing,

682

:

Farrah Bostic: Mm-hmm.

683

:

Anat Shenker-Osorio: but instead there

is just this default setting that

684

:

mobilization can't be measured in channel.

685

:

And again, I'm saying it is

very difficult to measure.

686

:

Farrah Bostic: Mm-hmm.

687

:

Anat Shenker-Osorio: And

so we're just gonna measure

688

:

vote, choice, IE, persuasion,

689

:

Farrah Bostic: Right.

690

:

Anat Shenker-Osorio: and we're going

to measure persuasion among a general

691

:

population, not just among people

who we actually credibly believe.

692

:

Would vote for us.

693

:

We are not going to put extra emphasis

as I would on messages that our base

694

:

is likely to actually wanna repeat

to other people or wear the t-shirt

695

:

or wear the hat or wear the slogan.

696

:

Thereby acting as social proof to

other people, which is something

697

:

that the right absolutely is

obsessed with and rightly so.

698

:

What is the thing our

choir's gonna wanna sing?

699

:

What will our choir say to other people?

700

:

Farrah Bostic: You, you just gave me

a funny, like, I, I just immediately

701

:

got a glimpse of a applying a kind of

shopper marketing method to this, which

702

:

would be you expose 'em to a whole bunch

of messages, and then you show them a

703

:

merch store and ask them to fill a cart.

704

:

Like that would be really

interesting actually.

705

:

Like literally, would you get

the hat of any of these messages?

706

:

Would you buy the tote bag?

707

:

Would you put the bumper

sticker on your car?

708

:

That's actually like, that would

be a fun, that would be a fun

709

:

one to try at the very least.

710

:

Anat Shenker-Osorio: One of the questions

we often ask people is, especially

711

:

now that we've like very much just

moved into testing, at least for me

712

:

on activation and what would activate

people, what would make people wanna

713

:

get out and do nonviolent direct action?

714

:

Because I genuinely believe that the

only way out of authoritarian rule

715

:

is for a sustained mobilization.

716

:

We are not going to vote

our way to democracy.

717

:

It's not going to happen.

718

:

We're not gonna sue our

way to democracy either.

719

:

And to be clear, voting

and suing very important.

720

:

And we need to do those things.

721

:

And I admire the lawyers and all of, and

I work with them and like God bless them.

722

:

Heroes work.

723

:

Not arguing shouldn't happen.

724

:

I'm saying necessary, not sufficient.

725

:

So one of the things we often ask

is we will write out different

726

:

slogans and we will ask people,

which of these signs Would you

727

:

be willing to carry at a protest?

728

:

I.

729

:

Farrah Bostic: Mm.

730

:

Anat Shenker-Osorio: Which is kind

of similar to your merch store

731

:

Farrah Bostic: Well, that one

actually feels higher stakes, right?

732

:

Like, now I have to imagine

myself going to a protest and

733

:

carrying a sign, right?

734

:

Not just like walking along with a

friend of mine, hidden in the crowd,

735

:

kind of thing like that, that that

ratchets up the stakes in a really

736

:

interesting way.

737

:

I mean, this is something that

I have seen people, you know,

738

:

on Blue Sky and elsewhere talking about

is the desire to have kind of more.

739

:

More

740

:

experiments And less just measurement in

some of , the research that's being done.

741

:

And then I think the other thing,

to go back to something you said

742

:

earlier is the, just the question

of like breakthrough and attention.

743

:

Like, I have forced

exposure to these things.

744

:

you could also imagine some kind of

745

:

like this, I, I personally wouldn't wanna

take this test, but like, so don't do it.

746

:

almost like a reading comprehension

test where it's like, it's a scroll.

747

:

You're gonna read, you know, you're

gonna scroll through a dozen posts

748

:

and then be asked about, do you

remember anything being about,

749

:

This topic or this candidate or

politics in general or whatever.

750

:

And just see like, did

751

:

anything actually get them to stop?

752

:

They're also just

753

:

like UX tools you could use

to actually see where people

754

:

stop and click through to a

755

:

link or something like that.

756

:

There's a million ways to experiment with

these things and I'm, sounds like maybe

757

:

you're starting to play with more of those

758

:

Anat Shenker-Osorio: Yeah.

759

:

and I

760

:

Farrah Bostic: there's

a real appetite for it.

761

:

Anat Shenker-Osorio: even quite

simply, and I'm not saying nobody

762

:

does this, 'cause they do you know,

they'll do YouTube pre-roll ads

763

:

and then they'll do some sort of

764

:

survey administered like.

765

:

A week later or whatever or, I don't

know how much this is happening, but

766

:

I hope it's happening more in an RCT

where you do have a captive audience.

767

:

They'll make ads skippable

768

:

Farrah Bostic: Mm-hmm.

769

:

Oh, interesting.

770

:

Yeah.

771

:

Anat Shenker-Osorio: I mean, it,

it's not in every test that people

772

:

get some sort of cash benefit.

773

:

Sometimes they do, sometimes they don't.

774

:

It depends.

775

:

But like, if you skip the thing,

you still get your whatever as

776

:

long as you answer the questions

777

:

Farrah Bostic: Mm-hmm.

778

:

Anat Shenker-Osorio: And so that

is some sort of indicator about

779

:

whether or not something is boring.

780

:

Farrah Bostic: Right.

781

:

Anat Shenker-Osorio: And, you

know, there's a lot of boring.

782

:

And not only is there a lot of boring, in

addition to the fact that that means that

783

:

people won't watch the thing or listen

to the thing or both, it also means that.

784

:

A lot of political advertising

wears on its sleeve.

785

:

The fact of itself is political

advertising, which I liken to your

786

:

romantic partner saying to you, we

need to talk before they're gonna tell

787

:

you whatever they're gonna tell you.

788

:

And I think anyone who has heard the

words we need to talk their body I mean

789

:

it probably happened, you and I are not

spoiler alert in a romantic relationship.

790

:

Who knows anything's possible in the

future, but, yeah, like your whole body

791

:

just tends, you're like, Ooh, I don't,

I don't think I want this to happen.

792

:

I don't think this is

gonna be a good time.

793

:

I'm not excited about,

whatever's gonna happen next.

794

:

And so a lot of political advertising

is like, I'm going to talk to you about

795

:

a political issue when most people are

like, the last thing on earth I want

796

:

to hear about is a political issue.

797

:

and before you tell them what you

want to tell them about your candidate

798

:

or about your topic, or about your

bill, or about your ballot initiative,

799

:

or whatever you've signaled to them

800

:

. That you're going to make them

like listen to something, a

801

:

topic that they find anathema.

802

:

Farrah Bostic: How does this kind

of create, I mean this, this,

803

:

feels like it would then explain

some of the kind of distance from

804

:

real people that it seems like

805

:

a lot of kind of

establishment politics has.

806

:

I mean, particularly, I'm gonna just say

particularly for the Democrats because I

807

:

pay more attention to them deliberately,

it seems like things have become

808

:

really professionalized, really added

809

:

distance to your point about more of

a focus on turnout than on organizing.

810

:

And I mean, in

811

:

2016, I went to Coatesville, Pennsylvania

to, to canvas for the Clinton campaign.

812

:

And I mean, we were there on a

Sunday, there was an Eagles game

813

:

on, nobody wanted to answer the door.

814

:

And those who did, several of the

folks we talked to said something along

815

:

the lines of, you guys just show up

816

:

when there's an election and then

we never hear from you again.

817

:

Anat Shenker-Osorio: Yep.

818

:

Farrah Bostic: And that really

was the thing that made me the

819

:

most kind of curious about,

820

:

was there ever a point in time where there

was more community organizing presence

821

:

on a continuous

822

:

basis?

823

:

I mean, obviously you've got like

the Tammany Hall kind of machine

824

:

democratic politics version of that.

825

:

But that kind of move to leave the

politics to us, you just give us

826

:

cash a little bit of time during

election years and your vote, and

827

:

that's all we really need from you.

828

:

You know, kind of like it, it reminds me

of the sort of idea of if you don't have

829

:

a seat at the table, you're on the menu.

830

:

And that that's sort of what has

been left for voters as a role

831

:

in politics

832

:

is.

833

:

Vote.

834

:

And to your point,

835

:

I mean, we had this conversation

during the Iraq war that you're

836

:

not gonna vote your way to a

837

:

democracy.

838

:

Elections are not the thing that makes a

839

:

democracy, a democracy.

840

:

And I, you know, we have not applied that

learning to ourselves either, but that

841

:

does seem like a thing that just creates

like an unnecessary amount of distance

842

:

between people who are trying to get

elected and, and to create the policy

843

:

structures that we want theoretically

and the people who want them.

844

:

And, and maybe leads to this kind of

weird situation where we're getting a lot

845

:

of candidates we're not excited about.

846

:

Anat Shenker-Osorio: Yeah.

847

:

I mean, Mike Podhorzer says

that Congress is the complaint

848

:

department for capitalism.

849

:

That, and Democrats in particular.

850

:

And so there's this performance that

happens every two years, every four years.

851

:

Where you are meant to feel like you

have a say in your own future because

852

:

you get to select, team Red, team Blue.

853

:

And then in reality, the people who

are actually in charge are the people

854

:

who financed Team Red and Team Blue.

855

:

But there's a customer service

hotline, which is the congressional

856

:

switchboard, which you can like if

you're diligently doing your five calls.

857

:

And to be clear, I'm not saying you

shouldn't be doing these things.

858

:

Like things are complicated and

I'm reducing it intentionally, but

859

:

really that congressional switchboard

where you like put in your phone

860

:

call for whatever you're not calling

the people, making the decision.

861

:

You are calling the people that

they have put there as the front

862

:

face and , you know your cus you're,

you're a very valued customer.

863

:

Your call will be answered in the

order in which it was received.

864

:

And like, then you can feel like I did

a thing and I said a thing and, and this

865

:

person that's like meant to represent

me in the system, heard the thing.

866

:

And obviously not all Democrats, this

is the one place where the hashtag

867

:

is accurate and it does apply.

868

:

And it is true that not all Democrats

and, and it is also true that not all

869

:

Democrats are actually on the side of

working people and the only people on

870

:

the side of working people are Democrats.

871

:

Those two things are both true.

872

:

That is what is so

fundamentally frustrating

873

:

Farrah Bostic: Mm-hmm.

874

:

Anat Shenker-Osorio: and.

875

:

Because the other side, I

mean they're fascists like it.

876

:

It's very simple.

877

:

Basically to some degree, people are aware

that elections are really a choice between

878

:

their billionaires and our billionaires.

879

:

And their billionaires are more

unhinged, more white nationalist,

880

:

more cutthroat, more evil.

881

:

And our billionaires are like polite.

882

:

They're like nicer,

883

:

Farrah Bostic: Yeah.

884

:

Anat Shenker-Osorio: Yeah.

885

:

But as far as having an actual

party that is for working people

886

:

and that understands that there are

sides, a rising tide, it turns out

887

:

lifts only yachts, not all boats.

888

:

Farrah Bostic: Right.

889

:

Anat Shenker-Osorio: people

get drowned in a rising tide.

890

:

'cause some people they don't have a boat.

891

:

You know why?

892

:

Because billionaires stole all the wood.

893

:

. When Democrats were absolutely aware

of the fact that there were sides,

894

:

and I'm talking back in the day,

I'm talking about A FDR, right?

895

:

He said, I welcome your hatred.

896

:

I welcome your ire.

897

:

Bring it on, right?

898

:

Speaking of the robber barons of

the day, then it was very clear

899

:

and, and Democrats did not have a

working class problem because working

900

:

class people didn't just vote.

901

:

Democratic being democratic was

core part of their identity.

902

:

It was like the sports

team they rooted for.

903

:

It was in their blood,

it was in their family.

904

:

It was only when, and this is true

not just in the US but elsewhere.

905

:

Neoliberalism is the midwife and

the hand made into authoritarianism.

906

:

It always has been.

907

:

Farrah Bostic: Mm-hmm.

908

:

Anat Shenker-Osorio: Because once you

start saying no, there aren't signs,

909

:

Farrah Bostic: Mm-hmm.

910

:

Anat Shenker-Osorio: a rising tide

will lift all boats and we can

911

:

just grow our economy and that

will make everybody better off.

912

:

And all we need to do is focus on

the GDP and let's mi ourselves into a

913

:

conversation in which our side says,

you know how you grow the economy?

914

:

You make sweet love to the economy by

paying people slightly more and like

915

:

letting them maybe have a weekend.

916

:

And their side says, the way that

you make sweet love to the economy

917

:

is by giving rich people more money.

918

:

But we've agreed to

have the same argument.

919

:

Farrah Bostic: Yeah.

920

:

I mean this, this you know, the

other day I think Pete Buttigieg

921

:

was on some podcast I was

922

:

listening to, and he said words that

I heard, but clearly the host did

923

:

not hear as

924

:

we're gonna need

925

:

UBI and with the coming AI revolution,

we're going to eliminate all of

926

:

this work that's gonna be great.

927

:

There's all this leisure time

you can spend with your family

928

:

and friends and pursuing hobbies

and living this bucolic lifestyle

929

:

that was long ago, promised to us.

930

:

And yet, like my core question

is, but as long as we have.

931

:

Neoliberalism capital and

billionaires who is going to

932

:

pay me not to work because

stuff still costs money.

933

:

And do we really believe, do I

really believe in my heart of

934

:

hearts that that laborist

future that I'm being

935

:

promised comes with a UBI and is

936

:

that UBI sufficient to

have a dignified life?

937

:

And like I, I, mean, where we're

sitting right now, my basic

938

:

belief is hell no, they're never gonna pay

me not to work ever, but they're perfectly

939

:

happy to force me out of work because they

never wanted to pay me in the first place.

940

:

And then that will be the justification.

941

:

And you see it in the welfare debate

where it's like, no, we gotta, you

942

:

gotta prove you're working, you're

trying to work in order to qualify for

943

:

benefits, even though the reason you

can't work is 'cause you can't work.

944

:

Anat Shenker-Osorio: Yeah.

945

:

And, maybe I'm taking

us on a meander, but COV

946

:

Farrah Bostic: Mm.

947

:

Anat Shenker-Osorio: was a perfect

example of an extraordinary

948

:

opportunity that we squandered

949

:

. Because COVID actually, much like

this moment in an interesting way,

950

:

opened up a giant persuasion window.

951

:

Farrah Bostic: Yes.

952

:

Anat Shenker-Osorio:

So a persuasion window.

953

:

I don't know if you've talked about this,

but basically it's just this idea that

954

:

there are certain moments in time where

people are just more open and susceptible

955

:

to persuasion than other times,

956

:

. So what I mean by that is an ad that

was about universal single payer

957

:

healthcare that was tested in, you

958

:

know, early February of 2020.

959

:

If that ad like demonstrated that

it moved people towards support

960

:

of that policy by, let's say three

points tested at the end of March.

961

:

It was moving people by 10 points, 15

points, because suddenly this event

962

:

occurred that people did not anticipate,

that had them rethinking what is

963

:

healthcare, where does it come from,

why do I need it, how does it occur?

964

:

And then further, we actually experienced

in this, our United States an instant of

965

:

socialized medicine in the form of mass

distributed in very short order given

966

:

you know, how long it takes to study

and produce vaccines and put them out.

967

:

Vaccines that were given to

people for free masks that were

968

:

given tests that were given.

969

:

You know, here we were living the

horror of socialized medicine.

970

:

Like we were not talking about it.

971

:

We were not like taking videos

of Canada and trying to prove to

972

:

people, no, really it would be okay.

973

:

No, really it would be okay.

974

:

No, really it would work.

975

:

We promise it would work because

as much as I work on messaging,

976

:

there is nothing that you can say

to people that is as persuasive

977

:

as what they actually experience.

978

:

And so here were people experiencing

government doing a thing,

979

:

Farrah Bostic: Mm-hmm.

980

:

Anat Shenker-Osorio: but instead of using

that opening where people were, where

981

:

public opinion was shifting about a desire

for universal single payer healthcare and.

982

:

Not all people, obviously people who

were forced to work because their jobs,

983

:

they, they don't have the luxury of

being able to be at home and they are

984

:

forced into kind of close proximity to

this extraordinarily contagious virus.

985

:

And they're usually the same people

who have no health insurance or really

986

:

crappy health insurance and not a

lot of room to breathe economically.

987

:

But other people are having

more time because, you know,

988

:

they're no longer commuting,

they're not going to the office.

989

:

Maybe they're working less because

they have more flexibility.

990

:

Those people could have been activated

and mobilized into this desire.

991

:

But instead, what was the

message from the left?

992

:

The message from the left

was essential workers.

993

:

Everyone is essential, the message was.

994

:

If you are delivering groceries or

whatever, a teacher, your essential,

995

:

you can never take a vacation.

996

:

You can never take time off.

997

:

You are essential.

998

:

And what essential means is

that you don't get to stop.

999

:

That's the like bonus that you get

venerated, or, you know, as I put it at

:

00:53:30,369 --> 00:53:36,369

the time, you are looking at these folks

in low wage work in let's say Walmart.

:

00:53:36,399 --> 00:53:40,839

Like they're venerated at hero as

heroes, but actually they're hostages.

:

00:53:41,199 --> 00:53:41,529

Farrah Bostic: Right.

:

00:53:42,789 --> 00:53:49,059

Anat Shenker-Osorio: Instead of arguing,

actually the people who make this country

:

00:53:49,059 --> 00:53:52,329

run are the people who clock in every day.

:

00:53:52,719 --> 00:53:56,739

And those are the people that

we need to be protecting.

:

00:53:57,849 --> 00:54:01,599

And that means that

everyone needs a break.

:

00:54:01,779 --> 00:54:03,579

Everyone needs a paid break.

:

00:54:03,699 --> 00:54:08,169

And in other countries, as you know,

they paid people not to work because that

:

00:54:08,169 --> 00:54:09,939

is what was required for their health.

:

00:54:10,569 --> 00:54:16,699

And now fast forward, we're in a

moment where interestingly, people's

:

00:54:16,699 --> 00:54:21,589

perceptions of the role of government

are up for grabs in a way that they

:

00:54:21,589 --> 00:54:23,419

have not been for 20, 30 years.

:

00:54:23,449 --> 00:54:26,929

And the argument that we have been

trying to make government is good.

:

00:54:26,929 --> 00:54:29,899

Government is good, government is good,

government is good, we need government.

:

00:54:30,019 --> 00:54:35,629

Government should be here to help you

buttressing up against a right wing

:

00:54:35,629 --> 00:54:39,439

narrative project to tell people, you

know, the scariest words in the English

:

00:54:39,439 --> 00:54:42,589

language are, I'm from the government

and I'm here to help Reagan, you know,

:

00:54:42,589 --> 00:54:44,749

drown in a bathtub, Grover Norquist.

:

00:54:45,499 --> 00:54:48,949

And we've not been able to penetrate

with that message because again.

:

00:54:49,699 --> 00:54:54,409

Whatever you're saying, if it contradicts

what people feel to be true in their

:

00:54:54,409 --> 00:54:55,879

lives, like it's not gonna happen.

:

00:54:56,359 --> 00:54:59,659

And so now we have people

saying, I kid you not.

:

00:55:00,319 --> 00:55:02,749

I didn't know that Yosemite

was the government.

:

00:55:02,749 --> 00:55:05,419

I thought Yosemite was run

by the Yosemite company.

:

00:55:05,764 --> 00:55:06,154

Farrah Bostic: Right.

:

00:55:06,559 --> 00:55:09,589

Anat Shenker-Osorio: I tried to call

Social Security and did you know that

:

00:55:09,589 --> 00:55:13,039

social security is the government

and now they're not answering.

:

00:55:13,039 --> 00:55:15,289

So now we're in a persuasion window

:

00:55:15,339 --> 00:55:18,519

. Around what government

could and should be.

:

00:55:18,669 --> 00:55:24,399

We actually could have an affirmative

message that is about taking on

:

00:55:24,399 --> 00:55:29,049

this regime of the bullies for

the billionaires by the bribes

:

00:55:29,469 --> 00:55:36,043

. And demanding leaders who create a

government of the people by the people.

:

00:55:36,043 --> 00:55:39,493

For the people, as

Lincoln famously told us.

:

00:55:39,548 --> 00:55:45,038

. Instead, we are sort of like carefully

calibrating like which thing it

:

00:55:45,038 --> 00:55:47,078

is that we could possibly say.

:

00:55:47,588 --> 00:55:52,028

An underlying reason, as you

already know and you've surely

:

00:55:52,028 --> 00:55:56,618

discussed many times, is that the

problem is made out of the problem.

:

00:55:56,768 --> 00:56:03,458

Like a lot of these Democrats hashtag

not all Democrats, but a lot of them

:

00:56:04,058 --> 00:56:07,178

are beholden to the exact same forces.

:

00:56:07,808 --> 00:56:12,338

There's a reason why for the first

six weeks of the Harris campaign,

:

00:56:12,548 --> 00:56:14,978

she was talking about price controls.

:

00:56:15,158 --> 00:56:17,918

She was talking about

curbing childhood poverty.

:

00:56:18,098 --> 00:56:21,338

She was talking about

raising the minimum wage.

:

00:56:21,338 --> 00:56:25,748

She was talking about

concrete economic policies.

:

00:56:25,958 --> 00:56:31,058

And then once the billionaires reorganized

themselves, after sort of spooling out

:

00:56:31,298 --> 00:56:34,718

and being into different camps, the ones

who wanted Biden to go, didn't want Biden

:

00:56:34,718 --> 00:56:38,948

to go, wanted an open primary wanted

Harris, they suddenly were like, oh, okay.

:

00:56:38,948 --> 00:56:39,608

Well it's Harris.

:

00:56:39,608 --> 00:56:42,158

We better get ourselves back

together and be the adults in the

:

00:56:42,158 --> 00:56:47,228

room and tell them enough with this

weird and this freedom and this.

:

00:56:47,258 --> 00:56:49,778

If you want people to come to

your party, throw a better party.

:

00:56:49,958 --> 00:56:53,678

People are way too enthusiastic

and excited, and voter registration

:

00:56:53,678 --> 00:56:54,548

is going through the roof.

:

00:56:54,548 --> 00:56:58,808

God forbid we gotta get in there and

we gotta get Liz Cheney on the stump,

:

00:56:59,018 --> 00:57:05,658

and we've got to change our economic

message to opportunity economy pablum.

:

00:57:06,173 --> 00:57:06,503

Farrah Bostic: Yep.

:

00:57:08,123 --> 00:57:11,903

Anat Shenker-Osorio: That all of

these efforts that you referenced

:

00:57:11,903 --> 00:57:17,123

earlier, to try to sell Harris's

economic bonafides and to cast her as

:

00:57:17,243 --> 00:57:19,703

she's on the side of working people,

he's on the side of billionaires.

:

00:57:20,333 --> 00:57:27,743

It's very difficult to deliver that

message if it doesn't actually come

:

00:57:27,743 --> 00:57:32,483

in a package of here's what I'm gonna

do to these, to these billionaires.

:

00:57:32,493 --> 00:57:36,213

and, and even introducing an

increased capital gains tax and then

:

00:57:36,213 --> 00:57:40,353

walking it back, like, how were you

supposed to, why would voters believe

:

00:57:40,353 --> 00:57:40,623

you?

:

00:57:40,623 --> 00:57:41,043

Farrah Bostic: Mm-hmm.

:

00:57:42,018 --> 00:57:45,558

Well, this is, this actually gets to

the, the thing I kinda wanted to, to

:

00:57:46,458 --> 00:57:51,078

end on because I like to leave people

with a really uplifting conversation.

:

00:57:51,078 --> 00:57:56,091

And that is this tendency to the way that

I think about it is, is punching left

:

00:57:56,091 --> 00:58:00,591

and, you know, we have seen this now where

it's the enemy of my enemy is my enemy

:

00:58:00,621 --> 00:58:02,206

I, I live outside of New York City now.

:

00:58:02,206 --> 00:58:04,936

I've lived in, however, I lived in

New York City for 20 plus years.

:

00:58:04,966 --> 00:58:08,966

And so I am watching the mayoral

race and we have this completely

:

00:58:08,966 --> 00:58:10,676

bonkers mayoral race in New York City.

:

00:58:10,976 --> 00:58:16,466

But it has led to just like the weirdest

set of choices and you know, it, it seems

:

00:58:16,466 --> 00:58:20,486

like it was a similar dynamic in the

New Jersey race as well of like, let's

:

00:58:20,486 --> 00:58:23,156

just hue to something safe and centrist.

:

00:58:23,516 --> 00:58:25,306

Let's, let's play it safe.

:

00:58:25,966 --> 00:58:29,686

I'm not sure that I read a five way race

where only a third of the people voted

:

00:58:29,686 --> 00:58:33,316

for the candidate who won as like a

resounding endorsement of that centrism.

:

00:58:33,316 --> 00:58:37,756

But you know, that's the way electoral

politics shakes out in, in New York.

:

00:58:37,756 --> 00:58:42,657

Like we, we are having these conversations

of Mamdani is talking about things like.

:

00:58:43,222 --> 00:58:47,362

Why are we subsidizing expensive

markup grocery stores in New York

:

00:58:47,362 --> 00:58:51,142

City with public assistance for

people who need help buying groceries?

:

00:58:51,292 --> 00:58:54,592

Why don't we create non-profit,

city owned grocery stores that

:

00:58:54,592 --> 00:58:55,762

they can use their benefits in?

:

00:58:56,422 --> 00:59:01,792

And centrist people who love Liz Cheney,

who run various podcast networks,

:

00:59:01,972 --> 00:59:03,682

love to cast this as communism.

:

00:59:03,742 --> 00:59:07,672

This is, we're gonna seize the grocery

stores and make them state run.

:

00:59:07,672 --> 00:59:09,622

And of course that is

not what is happening.

:

00:59:09,622 --> 00:59:12,169

Citarella is, free to continue

to be Citarella and Gourmet

:

00:59:12,169 --> 00:59:13,699

Garage and all the others.

:

00:59:13,909 --> 00:59:18,089

But like , the, thing that's nice

about Mamdani and I have no skin

:

00:59:18,089 --> 00:59:20,399

in the game 'cause I can't vote in

New York City, but like at least he

:

00:59:20,399 --> 00:59:22,852

is not cowed by those criticisms.

:

00:59:22,852 --> 00:59:24,712

And instead just goes, you guys are crazy.

:

00:59:24,712 --> 00:59:26,512

That's not what I'm talking about

I'm talking about this thing

:

00:59:26,602 --> 00:59:30,622

and, and continues to just push

with this is what I want to do.

:

00:59:30,772 --> 00:59:31,882

I don't know how it's gonna work out.

:

00:59:31,912 --> 00:59:32,512

Again, it's.

:

00:59:33,067 --> 00:59:33,937

Fucking bonkers.

:

00:59:33,937 --> 00:59:38,777

But but that tendency to look at someone

to the left and go, oh, that's the danger.

:

00:59:39,064 --> 00:59:41,554

Come back over here to

like:

:

00:59:41,554 --> 00:59:45,724

politics and stay there because that's

the safe place for Democrats to operate

:

00:59:46,414 --> 00:59:46,894

is

:

00:59:47,734 --> 00:59:51,019

extremely frustrating for someone who grew

up in a marketing universe where I worked

:

00:59:51,019 --> 00:59:54,904

on a lot of brands that were underdogs and

our motto was always go big, or don't go

:

00:59:55,214 --> 00:59:56,564

you don't have a lot of money to spend.

:

00:59:56,564 --> 00:59:57,944

You don't have a lot of popular support.

:

00:59:57,944 --> 00:59:59,174

You are not the market leader.

:

00:59:59,474 --> 01:00:02,144

Then you only do the things

that are going to break through.

:

01:00:02,144 --> 01:00:04,154

You only do the things that

are going to get attention.

:

01:00:04,154 --> 01:00:07,064

You only do the things that imagine

a different way of doing things.

:

01:00:07,304 --> 01:00:08,744

Otherwise, what the hell are you doing?

:

01:00:08,834 --> 01:00:09,824

You're wasting your money.

:

01:00:10,169 --> 01:00:10,469

Anat Shenker-Osorio: Yeah.

:

01:00:10,934 --> 01:00:13,244

Farrah Bostic: I guess maybe some of

what you've already just described

:

01:00:13,244 --> 01:00:16,754

is how we got to here, but is

there, is it the, is it simply the,

:

01:00:16,814 --> 01:00:19,534

the the money that is making us

:

01:00:19,534 --> 01:00:22,204

huge to this bizarre view from nowhere?

:

01:00:22,534 --> 01:00:27,964

Centrist defensive preservationist

of old systems that are frankly,

:

01:00:27,964 --> 01:00:32,564

already broken, approach to winning

elections on very little evidence

:

01:00:32,564 --> 01:00:34,064

that they win a lot of elections.

:

01:00:35,379 --> 01:00:40,059

Anat Shenker-Osorio: Yeah, it's the

money, it's basically financial interests.

:

01:00:40,389 --> 01:00:44,829

It's, the Supreme Court decision, the

Roberts Court decision that I call

:

01:00:44,829 --> 01:00:49,599

corporations unleash, that we stupidly

just parroted the name Citizens United,

:

01:00:49,869 --> 01:00:55,959

not realizing, I guess, that being against

Citizens United sounds like a bizarre

:

01:00:55,959 --> 01:00:58,959

thing to be against when you actually

think about the meaning of those words.

:

01:00:59,019 --> 01:01:02,889

And we just, credulously always, but

that's the name of the thing or not.

:

01:01:02,889 --> 01:01:04,119

I'm like, no, it fucking isn't.

:

01:01:04,149 --> 01:01:05,739

The name of the thing is

whatever's coming outta your

:

01:01:05,739 --> 01:01:07,179

mouth, it's corporations unleashed.

:

01:01:07,209 --> 01:01:08,409

Anyway, I digress.

:

01:01:09,854 --> 01:01:11,924

Farrah Bostic: Quick plug for

MAGA murder Bill by the way,

:

01:01:11,924 --> 01:01:12,134

Mar

:

01:01:12,219 --> 01:01:13,149

Anat Shenker-Osorio: thank you.

:

01:01:13,749 --> 01:01:14,289

Thank you.

:

01:01:14,354 --> 01:01:14,684

Farrah Bostic: plug for

:

01:01:14,684 --> 01:01:14,954

that.

:

01:01:15,104 --> 01:01:15,464

Yes.

:

01:01:15,609 --> 01:01:18,759

Anat Shenker-Osorio: Maga

order Bill, or if you need to

:

01:01:19,089 --> 01:01:21,999

the massive murderous measure.

:

01:01:22,272 --> 01:01:24,072

So sorry.

:

01:01:24,072 --> 01:01:25,302

I will answer your question.

:

01:01:25,992 --> 01:01:31,092

Yeah, it's the money, it's the

incentives, but the thing about it that

:

01:01:31,092 --> 01:01:38,232

is infuriating, besides that it destroys

the country and people's lives and

:

01:01:38,232 --> 01:01:42,192

livelihoods, that's also infuriating.

:

01:01:43,122 --> 01:01:51,612

It's that it is always dressed up

in this very, very erudite numbers.

:

01:01:51,612 --> 01:01:53,052

With decibel points.

:

01:01:53,322 --> 01:01:57,072

I got a perfect score

on my math SATs, a knot.

:

01:01:58,782 --> 01:02:03,402

We've done all of the things and we

have, calculated the so-called wins

:

01:02:03,402 --> 01:02:08,812

above replacement and moderation,

moderate, candidates win overall.

:

01:02:08,812 --> 01:02:10,642

And this is what we need to do

:

01:02:10,912 --> 01:02:13,562

in order to, get ahead

and purple districts.

:

01:02:13,562 --> 01:02:16,382

And don't you want Democrats to

have a majority and on balance?

:

01:02:16,382 --> 01:02:19,412

Don't you think that like it is better

when we elect more Democrats and your

:

01:02:19,412 --> 01:02:20,972

ideas are like wild and out here.

:

01:02:22,262 --> 01:02:23,432

So that happens.

:

01:02:23,462 --> 01:02:27,152

And partly that is because, yeah,

obviously there are districts

:

01:02:27,152 --> 01:02:30,782

in which that's true and.

:

01:02:31,367 --> 01:02:34,157

People refuse to measure mobilization.

:

01:02:34,157 --> 01:02:39,087

And so everything is a calculus

around, vote switching and not

:

01:02:39,087 --> 01:02:44,877

a calculus around how much did a

compelling, exciting, enthusiastic

:

01:02:44,877 --> 01:02:47,577

person bring into the electorate?

:

01:02:47,577 --> 01:02:50,667

Like that doesn't even get counted

because it's harder to measure

:

01:02:50,667 --> 01:02:53,797

because it would require knowing a

counterfactual that you can't know,

:

01:02:53,797 --> 01:02:58,747

which is how many people would've come

had there just been two boring people.

:

01:02:58,747 --> 01:03:00,277

And you can't measure that.

:

01:03:00,277 --> 01:03:01,417

'cause that isn't what happened.

:

01:03:01,777 --> 01:03:04,297

And so that just gets discounted entirely.

:

01:03:04,627 --> 01:03:07,747

And that's the way that

the math gets reported.

:

01:03:08,647 --> 01:03:12,967

And the other piece of it,

which is infuriating, is that.

:

01:03:13,447 --> 01:03:14,887

these same people.

:

01:03:15,247 --> 01:03:23,107

Who are obsessed with how leftist

groups are poisoning the discourse

:

01:03:23,107 --> 01:03:27,427

by saying wild things like

defund the police or abolish ice.

:

01:03:27,787 --> 01:03:32,857

And you know, this is so widespread that

it is tainting people's views of Democrats

:

01:03:33,217 --> 01:03:36,997

and that, you know, that is what makes

people think that Democrats are too woke

:

01:03:36,997 --> 01:03:38,767

because the groups have too much power.

:

01:03:38,887 --> 01:03:43,447

So they have this theory that

messaging does spread and it does

:

01:03:43,447 --> 01:03:45,997

sort of create this overall patina.

:

01:03:46,417 --> 01:03:54,037

But at the same time, when I say to

them, do you understand that when a Bill

:

01:03:54,037 --> 01:04:00,097

Clinton says the era of big government

is over and I'm going to end welfare as

:

01:04:00,097 --> 01:04:03,037

we know it, he is creating a discourse.

:

01:04:03,037 --> 01:04:11,437

He is adding to a discourse that

privileges Republicans and he may.

:

01:04:12,067 --> 01:04:14,257

Eek out a second term win.

:

01:04:14,707 --> 01:04:19,567

And also preside, not coincidentally,

over the largest midterm

:

01:04:19,567 --> 01:04:21,397

shellacking, an incumbent party.

:

01:04:21,667 --> 01:04:25,957

And to be sure incumbent parties generally

take a shellacking in the midterms.

:

01:04:26,827 --> 01:04:32,464

Like that's true, but the largest midterm

shellacking that had happened to date.

:

01:04:33,514 --> 01:04:39,484

And all of these Democrats, the Elise

Slotkin and the, you know, what's

:

01:04:39,484 --> 01:04:42,054

his face in Long Island Suozzi.

:

01:04:42,074 --> 01:04:46,284

And, Henry Cuellar, the big tent.

:

01:04:46,889 --> 01:04:47,309

Farrah Bostic: Mm-hmm.

:

01:04:47,754 --> 01:04:48,264

Anat Shenker-Osorio: The big tent.

:

01:04:48,264 --> 01:04:50,964

That of course doesn't include immigrants

and the big tent that doesn't include

:

01:04:50,964 --> 01:04:55,174

queer people and the big tent that

doesn't include victims of state

:

01:04:55,174 --> 01:04:57,814

violence, which is usually black people.

:

01:04:58,744 --> 01:05:00,904

It's a big tent, but.

:

01:05:01,924 --> 01:05:04,564

The thing about a big tent

is that in order for it to

:

01:05:04,564 --> 01:05:05,884

stand, it has to have a pole.

:

01:05:05,884 --> 01:05:09,034

Otherwise it's a tarp and

it just will suffocate you.

:

01:05:09,574 --> 01:05:15,574

So the fact that all of this just

keeps moving, all of the discourse to

:

01:05:15,574 --> 01:05:21,604

the right, thereby making it harder

for future Democrats to run and

:

01:05:21,604 --> 01:05:24,844

win because you are adding to this.

:

01:05:24,934 --> 01:05:26,134

The problem is the border.

:

01:05:26,134 --> 01:05:27,484

The problem is trans kids.

:

01:05:27,484 --> 01:05:34,324

The problem is this, and there's no

recognition that that's the case,

:

01:05:34,354 --> 01:05:38,913

and you are actually changing the

weather against your own thing.

:

01:05:39,574 --> 01:05:39,934

Farrah Bostic: Right.

:

01:05:41,204 --> 01:05:45,314

Anat Shenker-Osorio: And done with

this veneer of like gi not, we wish

:

01:05:45,314 --> 01:05:46,604

we could stand up for immigrants.

:

01:05:46,604 --> 01:05:48,014

We really do.

:

01:05:48,314 --> 01:05:51,464

Gi not, we wish we could

champion abortion access.

:

01:05:51,644 --> 01:05:57,704

We really do gi not, we wish that we could

argue that police should not be out in

:

01:05:57,704 --> 01:06:01,454

the world just indiscriminately killing

people because they happen to be black.

:

01:06:02,024 --> 01:06:07,694

But that would cost us the election

and then we wouldn't be able to govern

:

01:06:07,754 --> 01:06:11,144

in a way that, by the way, doesn't

help any of those people anyway.

:

01:06:11,474 --> 01:06:12,074

Farrah Bostic: Right.

:

01:06:12,254 --> 01:06:15,224

Right, you know, one of the things

I, I find when I look at some of,

:

01:06:15,224 --> 01:06:19,094

like the, the big post-election,

we crunched all the numbers.

:

01:06:19,094 --> 01:06:22,874

And here's what happened,

Dex is that they're great.

:

01:06:22,934 --> 01:06:25,064

There's a lot of really

interesting detail in them.

:

01:06:25,274 --> 01:06:28,634

But if I were like the CMO of the

Democratic party and I had to make

:

01:06:28,634 --> 01:06:32,114

a decision about how I was gonna

spend my money and on what I don't

:

01:06:32,174 --> 01:06:35,413

know, reading those decks, what I'm

supposed to do there, what I can

:

01:06:35,413 --> 01:06:39,074

tell is like the emerging democratic

majority demographic, our destiny

:

01:06:39,404 --> 01:06:42,974

prediction turned out to be wrong, which

frankly should come as no surprise.

:

01:06:42,974 --> 01:06:44,594

It turned out to be wrong

when the Republicans wrote

:

01:06:44,594 --> 01:06:46,484

the same book in the:

:

01:06:46,514 --> 01:06:51,314

And like, so, so the question to

me is like, so what do we do next?

:

01:06:51,314 --> 01:06:55,514

And I cannot, for the life of me

really figure out what the project

:

01:06:55,514 --> 01:06:58,184

is that the democratic.

:

01:06:58,724 --> 01:07:06,854

Establishment type of candidates are, And

and organizations are basically constantly

:

01:07:06,854 --> 01:07:10,574

studying democratic voters when

republicans don't seem to constantly

:

01:07:10,574 --> 01:07:13,544

study Republican voters in quite like

the number of polls of like what's

:

01:07:13,544 --> 01:07:16,424

going on with the Republicans who

didn't vote Republican or whatever.

:

01:07:16,424 --> 01:07:17,834

This year I don't see any of those polls.

:

01:07:17,894 --> 01:07:23,854

And also where there is a kind

of assumption that it is only

:

01:07:23,854 --> 01:07:28,084

Democrats who are out of touch with

real Americans and have to figure

:

01:07:28,084 --> 01:07:29,913

out what real America is like.

:

01:07:29,913 --> 01:07:30,034

But

:

01:07:30,034 --> 01:07:35,584

there's never any belief that the

crazy ass ideas that come from the

:

01:07:35,584 --> 01:07:39,684

right are also equally, to your point

about people not realizing until they

:

01:07:39,684 --> 01:07:43,764

wake up one day and discover that

you can't take your government hands

:

01:07:43,764 --> 01:07:45,264

off my Medicare because it is the

:

01:07:45,264 --> 01:07:48,864

government and that actually I need the

government in order to get my Medicare.

:

01:07:49,444 --> 01:07:50,044

There have been.

:

01:07:50,479 --> 01:07:51,529

CNN had some work.

:

01:07:51,529 --> 01:07:54,829

I talked to Ariel Edwards Levy the

other day about some work they had

:

01:07:54,829 --> 01:07:56,269

shown, which is like people generally

:

01:07:56,269 --> 01:07:57,799

thinking government should do more.

:

01:07:58,279 --> 01:08:02,209

And also not thinking either party

was going to do with government what

:

01:08:02,209 --> 01:08:03,739

they would like government to do.

:

01:08:04,229 --> 01:08:08,939

There is just this bizarre hand

wringing, , asymmetry, which if you're

:

01:08:08,939 --> 01:08:11,519

a fascist party, you just crush forward.

:

01:08:11,839 --> 01:08:13,249

With pure power.

:

01:08:13,249 --> 01:08:14,509

That's the only objective.

:

01:08:14,509 --> 01:08:17,089

And so say, do whatever it

takes in order to get that.

:

01:08:17,929 --> 01:08:21,919

The other side is like playing a

persuasion game where they seem to just

:

01:08:21,919 --> 01:08:23,779

be trying to persuade each other and

:

01:08:23,779 --> 01:08:27,259

not any of those people who open the

door and said, yeah, all right, I'll take

:

01:08:27,259 --> 01:08:29,779

your flyer, but you guys only show up

every four years and then you don't do

:

01:08:29,779 --> 01:08:30,738

anything for me.

:

01:08:30,859 --> 01:08:36,349

And there is a disconnect as well between

the campaigning and the governing and you

:

01:08:36,349 --> 01:08:39,709

know, the old thing of, you know, campaign

and poetry and governing prose while

:

01:08:39,709 --> 01:08:41,599

you're doing, you're doing both of them

:

01:08:41,599 --> 01:08:43,578

in spreadsheets now is

actually what you're

:

01:08:43,578 --> 01:08:47,419

doing when I don't know, like,

is there any sign of life?

:

01:08:47,419 --> 01:08:50,149

Is there any possibility of

shaking some people loose and

:

01:08:50,149 --> 01:08:52,158

getting off of this ridiculous

:

01:08:52,309 --> 01:08:52,759

train

:

01:08:52,818 --> 01:08:53,599

that they're on?

:

01:08:54,709 --> 01:08:56,779

It's there a sign of life

here or not, is my question.

:

01:08:57,254 --> 01:08:57,913

Anat Shenker-Osorio: Yeah.

:

01:08:58,724 --> 01:08:59,384

Yeah.

:

01:09:00,044 --> 01:09:02,024

And here is what it is.

:

01:09:02,167 --> 01:09:09,877

, So, you know how we nash our

teeth and we have like utter

:

01:09:09,877 --> 01:09:11,767

very clear-eyed consternation.

:

01:09:11,767 --> 01:09:18,281

Anytime Democrats say like, oh, I'm

gonna work with my Republican colleagues

:

01:09:18,281 --> 01:09:19,571

and I'm gonna work across the aisle.

:

01:09:19,571 --> 01:09:23,741

And like Susan Collins will finally

like, go from being concerned to

:

01:09:23,741 --> 01:09:25,270

like actually doing something.

:

01:09:25,491 --> 01:09:31,161

Joe Biden loved to like always

tout how, how, how we laugh at

:

01:09:31,161 --> 01:09:34,071

them or we yell at them because

they're like, there's no reasonable

:

01:09:34,071 --> 01:09:35,270

Republicans that are gonna show up.

:

01:09:35,270 --> 01:09:37,011

Like, stop freaking trying.

:

01:09:37,011 --> 01:09:38,091

Like, that's not a thing.

:

01:09:38,091 --> 01:09:39,171

It's not gonna happen.

:

01:09:39,321 --> 01:09:40,640

Why are you thinking it's gonna happen?

:

01:09:41,031 --> 01:09:43,761

But then we ourselves are guilty.

:

01:09:44,435 --> 01:09:49,716

Of exactly the same thing with Democrats,

and we keep asking and asking and asking

:

01:09:49,716 --> 01:09:51,276

like, well, what would change them?

:

01:09:51,276 --> 01:09:52,836

What would make them behave differently?

:

01:09:52,836 --> 01:09:53,946

What would make them this?

:

01:09:54,306 --> 01:09:58,929

Why would we think they would,

other than the ones who do

:

01:09:59,229 --> 01:10:02,739

because hashtag Not all Democrats.

:

01:10:02,844 --> 01:10:03,174

Farrah Bostic: Yeah.

:

01:10:03,729 --> 01:10:07,389

Anat Shenker-Osorio: So one answer is

that we actually have to go through

:

01:10:07,389 --> 01:10:10,568

the arduous, painstaking primary

process of electing better Democrats.

:

01:10:10,568 --> 01:10:11,709

Like that is one thing.

:

01:10:11,769 --> 01:10:16,659

There have to be different people with

different incentives, but honestly,

:

01:10:17,318 --> 01:10:25,749

where I'm at myself personally, I

am not, focused on trying to alter

:

01:10:25,809 --> 01:10:31,929

how Democrats behave because here is

what alters what Democrats behave.

:

01:10:32,409 --> 01:10:33,579

We're watching it happen.

:

01:10:33,639 --> 01:10:37,749

I live in California,

Gavin Newsom, the same.

:

01:10:38,019 --> 01:10:42,639

Gavin Newsom who rose to prominence.

:

01:10:43,254 --> 01:10:44,424

Being Mr.

:

01:10:44,514 --> 01:10:47,574

I'm gonna marry gay and lesbian

people when it's not legal yet.

:

01:10:47,994 --> 01:10:50,784

I'm gonna make myself the

cool kid by doing city hall

:

01:10:50,784 --> 01:10:53,254

marriages, counterculture, right?

:

01:10:53,374 --> 01:10:54,424

When it wasn't allowed.

:

01:10:54,454 --> 01:10:55,894

And suddenly people are like, Ooh.

:

01:10:56,014 --> 01:10:57,604

And obviously a lot of people objected.

:

01:10:58,114 --> 01:11:00,994

But that's the whole thing

about an effective message.

:

01:11:01,084 --> 01:11:06,484

If, if you want to have people to come

to your cause, you have to be attractive.

:

01:11:07,144 --> 01:11:11,224

Which means attract them to you and

have a polarity, like any magnet,

:

01:11:11,374 --> 01:11:13,174

that's also going to repel people.

:

01:11:13,384 --> 01:11:15,754

Because if you wanna touch a

nerve, you have to touch a nerve.

:

01:11:15,814 --> 01:11:18,994

That's the basic, which is essentially

what you were saying about smaller

:

01:11:18,994 --> 01:11:20,704

companies trying to break into markets.

:

01:11:21,124 --> 01:11:22,443

So he does that.

:

01:11:22,443 --> 01:11:27,654

Then fast forward to, after the election,

he becomes like, dude, bro, podcaster,

:

01:11:27,654 --> 01:11:31,224

v platforming, some of the most odious

human beings, because he's like,

:

01:11:31,344 --> 01:11:32,994

this is where the cool kids are now.

:

01:11:33,024 --> 01:11:33,384

Right?

:

01:11:33,443 --> 01:11:35,814

Like it used to be that the

cool kids were the gay kids.

:

01:11:35,934 --> 01:11:37,284

Now screw them.

:

01:11:37,284 --> 01:11:40,254

I'm gonna like throw them

under every conceivable bus

:

01:11:40,254 --> 01:11:42,024

or like podcast microphone.

:

01:11:42,174 --> 01:11:44,867

I'm gonna go hang out with the right,

because that's where the cool kids

:

01:11:44,867 --> 01:11:47,957

are to now the last couple of days.

:

01:11:48,107 --> 01:11:52,577

Where he seems to have located for

himself, perhaps not an entire backbone,

:

01:11:52,577 --> 01:11:57,407

let's not get too hasty, but like maybe

a vertebra or maybe two, maybe three.

:

01:11:57,947 --> 01:12:02,567

And he is now rightly mocking Trump

and saying, you know, come arrest me.

:

01:12:02,567 --> 01:12:06,587

Like come for me and made an address

that was actually quite good.

:

01:12:06,587 --> 01:12:08,107

And if I'm saying it,

:

01:12:08,397 --> 01:12:08,687

Farrah Bostic: Yeah.

:

01:12:09,157 --> 01:12:10,387

Anat Shenker-Osorio: I

don't relish saying it.

:

01:12:10,387 --> 01:12:12,367

So like I really think it's true.

:

01:12:12,817 --> 01:12:16,567

Did he do that because he suddenly

located within himself some sort

:

01:12:16,567 --> 01:12:17,857

of conscious, no, of course not.

:

01:12:18,067 --> 01:12:25,537

He did that because of the

leadership of the city of angels.

:

01:12:25,567 --> 01:12:32,527

The angels that reside among us,

the angels, the Es, who went to

:

01:12:32,527 --> 01:12:40,057

the front lines and are getting

pounded by a military force that

:

01:12:40,057 --> 01:12:42,367

Trump has unleashed against them.

:

01:12:43,357 --> 01:12:44,767

To say no.

:

01:12:44,827 --> 01:12:47,347

We are standing up to this fascist regime.

:

01:12:47,437 --> 01:12:51,307

We will fight for our freedoms

and we are gonna fight for the

:

01:12:51,307 --> 01:12:53,827

freedoms of everyone in this place.

:

01:12:53,857 --> 01:12:56,287

It doesn't matter to us what

they look like, where they come

:

01:12:56,287 --> 01:12:57,307

from, what their background.

:

01:12:57,547 --> 01:12:58,537

That's what we're gonna do.

:

01:12:58,657 --> 01:13:00,517

So now that's the cool kids' table.

:

01:13:02,512 --> 01:13:08,317

So the way that Democrats are

gonna come around is when the

:

01:13:08,317 --> 01:13:15,307

movement, when ordinary, everyday

people are out in the world.

:

01:13:15,637 --> 01:13:17,437

They're not gonna go first.

:

01:13:17,837 --> 01:13:18,077

Farrah Bostic: Right.

:

01:13:18,367 --> 01:13:19,627

Anat Shenker-Osorio:

They're not gonna go first.

:

01:13:19,657 --> 01:13:20,947

They are not leaders.

:

01:13:20,947 --> 01:13:24,457

Leaders go first, except

for the few that do.

:

01:13:25,147 --> 01:13:26,167

Some of them do.

:

01:13:26,887 --> 01:13:30,517

But the way to change Democrats

is by changing ourselves.

:

01:13:30,952 --> 01:13:32,982

. Farrah Bostic: I think that's a

really, , good bullet for us to end on.

:

01:13:33,912 --> 01:13:37,899

So, , what is the best way for

people to follow your work?

:

01:13:38,374 --> 01:13:39,899

Anat Shenker-Osorio: So I have a substack.

:

01:13:39,929 --> 01:13:44,219

I don't use it that much, but I try,

uh, it's called Words to Win by.

:

01:13:44,609 --> 01:13:47,009

It is the same as my podcast.

:

01:13:47,009 --> 01:13:49,679

Words to Win by where every

episode is a campaign.

:

01:13:49,679 --> 01:13:51,179

We won somewhere in the world.

:

01:13:51,659 --> 01:13:55,619

We make all of our messaging

guidance available.

:

01:13:55,649 --> 01:13:57,179

Free open source.

:

01:13:57,179 --> 01:14:01,049

If you go to my website,

aso communications.com,

:

01:14:01,259 --> 01:14:02,849

we have messaging guides in English.

:

01:14:02,849 --> 01:14:04,469

We have lots of them in Spanish.

:

01:14:04,719 --> 01:14:05,949

, We have ads.

:

01:14:06,129 --> 01:14:07,869

You can go on there.

:

01:14:08,124 --> 01:14:09,774

You know, how do I talk about immigrants?

:

01:14:09,774 --> 01:14:11,544

How do I talk about raising wages?

:

01:14:11,544 --> 01:14:14,164

How do I talk about, trans kids?

:

01:14:14,464 --> 01:14:17,943

If we've done a project on it, we've

made it open source, it's sitting there.

:

01:14:18,324 --> 01:14:19,464

, I'm on blue sky.

:

01:14:19,704 --> 01:14:25,097

I mostly try to, post in the messaging

that I think you should be using.

:

01:14:25,277 --> 01:14:30,077

But occasionally it is do as I say, not

as I do, because I just get so pissed

:

01:14:30,077 --> 01:14:32,867

off that sometimes I just, I just go off.

:

01:14:32,867 --> 01:14:35,327

I'm like, okay, this is not the

messaging you should be using, but I'm

:

01:14:35,327 --> 01:14:36,917

so fucking pissed about this thing.

:

01:14:37,106 --> 01:14:38,786

Farrah Bostic: Thank you so much

for spending the time with me.

:

01:14:38,786 --> 01:14:40,946

I know we went, over time and I

would love to keep you for like

:

01:14:40,946 --> 01:14:44,493

four, five more years, but instead,

I think we'll wrap right here.

:

01:14:44,733 --> 01:14:46,323

Thank you so much, Anat for joining me.

:

01:14:46,758 --> 01:14:47,358

Anat Shenker-Osorio: Thank you.

:

01:14:47,358 --> 01:14:49,428

It was lovely, lovely chatting with you.

:

01:14:51,266 --> 01:14:53,756

. Farrah Bostic: Crosstabs is a

production of the Difference Engine.

:

01:14:53,846 --> 01:14:55,376

It is edited and hosted by me.

:

01:14:55,436 --> 01:14:59,036

Farrah Bostick music is from

Audio Jungle by S Audio.

:

01:14:59,366 --> 01:15:03,926

You can subscribe to our weekly

newsletter for free@crosstabspodcast.com.

:

01:15:04,616 --> 01:15:08,186

You can also follow the show

on Blue sky@crosstabspod.blue

:

01:15:08,186 --> 01:15:09,086

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:

01:15:09,146 --> 01:15:12,716

and on LinkedIn where we share links

to new episodes and newsletters.

:

01:15:13,196 --> 01:15:16,556

We also share these episodes via

video, and you can like and subscribe

:

01:15:16,556 --> 01:15:19,976

to each week's video episode on

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:

01:15:20,125 --> 01:15:22,075

Please follow us on

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:

01:15:22,075 --> 01:15:25,465

Tell your friends about the show, and

don't forget to subscribe on whatever your

:

01:15:25,465 --> 01:15:27,295

favorite podcast service happens to be.

:

01:15:27,745 --> 01:15:30,715

If you wanna learn more about what

I do, you can find me on all the

:

01:15:30,715 --> 01:15:34,105

socials at Fara Bostic, though I

am mostly on Blue Sky these days.

:

01:15:34,165 --> 01:15:36,715

Or get in touch through

the difference engine.co.

:

01:15:37,195 --> 01:15:37,855

And that's it.

:

01:15:37,945 --> 01:15:38,695

See you next time.

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