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Speaker 1: It's Night's Eyes with Ray. I'm telling you easy Boston's

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Speaker 1: news radio.

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Speaker 2: We were trying to keep everyone warm from now until midnight,

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Speaker 2: or just before minute about eleven fifty eight. My name

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Speaker 2: is Dan Ray, a host of Nights. I had heard

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Speaker 2: here every Monday through Friday night, almost every Monday through

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Speaker 2: Friday night from made it to midnight, Rob Brooks and

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Speaker 2: I an Hair all of this week. Robbed back in

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Speaker 2: the control room at the Broadcast Center on Cabot Street

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Speaker 2: in Medford, Massachusetts. That is where iHeart is. I am

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Speaker 2: broadcasting remotely. You know where you are, so everything is complete.

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Speaker 2: We will talk with four guests during this first hour,

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Speaker 2: but a variety of subjects, and then beginning at nine

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Speaker 2: o'clock tonight, we will talk about the latest emerging adults

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Speaker 2: to be released from Massachusetts State Prison, from Out from Underneath,

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Speaker 2: the yoke of the life in prison without parole convictions.

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Speaker 2: And then later on we're going to talk with former

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Speaker 2: United States Ambassador to Denmark Alan Libenthal about President Trump's

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Speaker 2: pursuit of Greenland. I'm still not exactly sure what he

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Speaker 2: intends to try to do or whether he's just bargaining

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Speaker 2: away here. We'll find out We have lots to talk about, though,

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Speaker 2: and our first guest is set and ready to go.

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Speaker 2: Where is artificial intelligence headed this year? Artificial intelligence headed

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Speaker 2: this year? And how can parents and educators better protect

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Speaker 2: kids online this year? I'm somewhat confused by that, but

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Speaker 2: I'll tell you who isn't confused by that. It is

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Speaker 2: Angela Neklambay. She's a chemical engineer by trade now works

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Speaker 2: for YouTube as the company's engineering program manager for trust

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Speaker 2: and safety. Angela, Welcome to Nightside. How are you this evening?

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Speaker 3: Aida?

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Speaker 4: Doing great for having me excited to be here.

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Speaker 2: You're very welcome. So let's break this down so people

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Speaker 2: of all ages can understand it. Artificial intelligence. I have

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Speaker 2: a sense of what it is. I don't have a

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Speaker 2: sense that I really have my arms around it. I

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Speaker 2: assume in your position, you have a much better sense. First,

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Speaker 2: let's define the problem and how is your company going

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Speaker 2: to protect kids from whatever that problem is?

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Speaker 4: Yeah, and let me just repeat it to make sure

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Speaker 4: I heard it right. You were asking me to basically

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Speaker 4: give a high level overview of what AI or artificial

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Speaker 4: intelligence is, what some of the big risks are, and

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Speaker 4: how companies like the one I work for, Plus others

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Speaker 4: are working on making sure to kind of insert some guardtrails.

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Speaker 2: I think most of us understand what it is. We're

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Speaker 2: familiar with chat, GPT and all of that, and it

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Speaker 2: certainly has some advantages, but we also have some concerns.

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Speaker 2: So I thought the easiest way since you work for

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Speaker 2: YouTube as the company's engineering program manager for trust and safety,

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Speaker 2: and it's YouTube provides information and videos which are designed well.

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Speaker 2: I don't think YouTube designs them this way, but they're

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Speaker 2: designed to be addictive. People want clicks. So what why

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Speaker 2: don't you just define the problem for us as you

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Speaker 2: see it and how you're going to help YouTube deal

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Speaker 2: with that problem on behalf of parents and children.

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Speaker 3: Of course, yeah, happy to do that.

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Speaker 5: And while yes I do.

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Speaker 4: Work for YouTube, I do want to say that the

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Speaker 4: what I'll share is more broader trends that I'm seeing

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Speaker 4: across the company, but also just across the industry in

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Speaker 4: general when it comes to AI. So a lot of

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Speaker 4: this will apply to just a broader AI tech space

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Speaker 4: as opposed to just niche to YouTube, since we do

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Speaker 4: a lot of research across the board. But if also

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Speaker 4: talk about it in terms of themes for AI, I'd

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Speaker 4: say twenty five was the year AI swap with mainstream

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Speaker 4: and that was in the form of deep fakes that

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Speaker 4: are becoming more accepted in online content. Like you mentioned, So,

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Speaker 4: whether it's your social media platforms or more video sharing

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Speaker 4: platforms like YouTube, we're seeing a lot of these, whether

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Speaker 4: it's images or voice or video, getting more and more sophisticated,

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Speaker 4: making it harder even for folks like myself who work

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Speaker 4: in the space to discern what's real from fake, which

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Speaker 4: that can be incredibly concerning. Right if someone is able

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Speaker 4: to manipulate a photo and turn it into a video

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Speaker 4: of someone saying something they didn't say, you can see

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Speaker 4: how that can be. That can become a problem.

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Speaker 2: I think most of us, most of us, I think

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Speaker 2: can relate to that, because when you say deep fakes,

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Speaker 2: what we're talking about is you see a videotape of

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Speaker 2: check anyone you want, Tom Brady, Taylor Swift, Robert de Niro,

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Speaker 2: anyone you want. They're able to replicate that person's voice. Uh,

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Speaker 2: people who are malign actors will replicate that person's voice

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Speaker 2: and try to sell you a product or tell you

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Speaker 2: a story. So, so that's what a deep fake is.

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Speaker 2: It's not Tom Brady. It's not Taylor Swift, it's not

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Speaker 2: Robert de Niro. It's their their picture. I mean, it's

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Speaker 2: their visuals. Their mouth is moving, their expressions are changing.

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Speaker 2: It looks real. It looks as if Tom Brady's saying

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Speaker 2: to you what someone words that put into his mouth.

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Speaker 4: Go ahead, one hundred percent. Yeah, I'm just for a

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Speaker 4: really really good description there. The other issue too, that

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Speaker 4: I wanted to call out is chatbots, you know, like

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Speaker 4: you're i'd say, the most popular one and probably be

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Speaker 4: like a chat GBT or the like. And the use

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Speaker 4: of these as emotional companions, not just for every day

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Speaker 4: adults like kids as well. You know, we're seeing end

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Speaker 4: up using these, and when they're using these unsupervised, that

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Speaker 4: can lead to sometimes fatal consequences. Right, And so those

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Speaker 4: are two main issues that we saw kind of coming

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Speaker 4: out of twenty twenty five or concerns when it comes

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Speaker 4: to the consumer usage of AI. And then in twenty

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Speaker 4: twenty six, what we're seeing in a more optimistic side

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Speaker 4: is actually a more reactive shift towards enforcing mandatory guide guardrails,

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Speaker 4: both through these companies shifting from this like move back

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Speaker 4: and break things mentality to a more safety by design approach.

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Speaker 4: But we're also seeing you know, legislation coming into play

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Speaker 4: to help enforce all of these safety guidance and prevent

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Speaker 4: you know, us from delving into this wildwide west of

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Speaker 4: AI technology.

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Speaker 2: Okay, So is YouTube then planning and saying when we

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Speaker 2: see a deep fake up on YouTube, We're going to

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Speaker 2: get rid of it. We're not going to let some

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Speaker 2: kid sit there listening to some celebrity tell him that

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Speaker 2: may maybe he should consider killing himself if he's so

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Speaker 2: unhappy or or you know. I use that as an

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Speaker 2: example that really can cause and can affect impressionable youngsters

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Speaker 2: with thoughts that hopefully they should really never entertain. Will

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Speaker 2: YouTube actually get involved and make sure a lot of

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Speaker 2: this stuff is not on your website.

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Speaker 4: I don't want to speak for YouTube specifically, since again

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Speaker 4: I'm not the CEO and I'm not an official spokesperson,

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Speaker 4: but I will say as a company as a whole,

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Speaker 4: that is one of our main pillars, which is responsible

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Speaker 4: AI and innovation in terms of we create the tools

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Speaker 4: that enable the creativity of the folks who use the

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Speaker 4: YouTube platform. Right, So we just make the tools and

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Speaker 4: we put them out there with some very strict guidelines

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Speaker 4: for how they should be used, and we make sure

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Speaker 4: these are tested multiple times over. We probably run a

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Speaker 4: million or billion of prompts on these tools to make

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Speaker 4: sure that they're not able to trigger anything that's policy.

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Speaker 4: Violets say anything that has to do with you know,

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Speaker 4: like violence or mudity or self harm or any of

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Speaker 4: those dangerous topics, right, and we test that before we

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Speaker 4: put it out. However, we are fallible at the end

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Speaker 4: of the day, like any person is, and so if

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Speaker 4: anything falls through their cracks, we do have a very

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Speaker 4: robust trust and safety system that allows either like users

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Speaker 4: to report content that they think is violative, or we

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Speaker 4: also have these machine learning models that will detect violative

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Speaker 4: content and take it down the platform. So we have

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Speaker 4: this like one two punt approach that we leverage to

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Speaker 4: make sure anything violative gets off the platform, does not stay,

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Speaker 4: does not even make it to the platform. Actually, like

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Speaker 4: we make sure that we're enforcing that from the beginning.

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Speaker 4: And then on a broader standpoint, I think we see

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Speaker 4: in the news companies are working on in reading these guardrails.

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Speaker 4: CHUTCHPT I think today just announced that they're adding a

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Speaker 4: checks to their website to stop kids from accessing adult content.

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Speaker 4: And so these are really important bits of technology, and

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Speaker 4: its like guardirls to make sure that we are adding

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Speaker 4: limits to what type of content or like what we're

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Speaker 4: adding restraints to what these tools can do for us

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Speaker 4: as people.

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Speaker 2: Well, I mean, the future is unknown. The places and

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Speaker 2: the things that we will talk about probably are not

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Speaker 2: easy to anticipate. So you have a big job in

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Speaker 2: front of you. I mean, I can go back to

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Speaker 2: the nineteen fifties when the most important things where parents

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Speaker 2: didn't want their kids or their sons to get a

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Speaker 2: copy of Playboy or something like that, and so that

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Speaker 2: was something, but it's just the complexity that we're now

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Speaker 2: dealing with with AI is a million times more complex.

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Speaker 2: So you have a tough job. I thank you for

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Speaker 2: taking your time tonight, taking some time tonight to explain

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Speaker 2: to us exactly what's at stake. I think really the

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Speaker 2: emotional safety and the psychological safety of many many children

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Speaker 2: across this country is at stake. So there's benefits, great benefits,

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Speaker 2: but just just as there are great benefits, there are

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Speaker 2: also great perils involved in this. And we'd love to

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Speaker 2: have you back and talk more about it as you

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Speaker 2: get this better under control. Thank you so much, Angela

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Speaker 2: for spending some time with us tonight.

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Speaker 4: Thanks for having me and having a good night you two.

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Speaker 2: When we get back, we're going to get a little

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Speaker 2: more practical, at least something that most people will be

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Speaker 2: able to respond to, and that is Practical Strategies for

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Speaker 2: Navigating and Escaping a Toxic boss. I hope you've never

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Speaker 2: had a toxic boss. But if you've had one, or

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Speaker 2: if you have one, now, doctor Laura Hambily love It,

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Speaker 2: a workplace and organizational psychologist, will stop by and talk

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Speaker 2: about some various types of toxic bosses and what you

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Speaker 2: can do and how you can differentiate between a tough

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Speaker 2: or a difficult boss and a truly toxic boss. Back

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Speaker 2: on Nightside after this.

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Speaker 1: If you're on Nightside with Dan Ray on WBZ Boston's

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Speaker 1: news radio, well to.

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Speaker 2: Welcome doctor Laura Hambley love It. She's a workplace and

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Speaker 2: organizational psychologist. She's written a book here. I guess it's

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Speaker 2: I wish I'd quit sooner. Practical Strategies for Navigating and

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Speaker 2: Escaping a Toxic Boss, Doctor Hambley love It. Welcome to Nightside.

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Speaker 2: How do we distinguish between just a tough boss, or

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Speaker 2: a difficult boss, or even a bad boss with a

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Speaker 2: box that's with a boss that's truly toxic. Welcome to Nightside.

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Speaker 3: Thank you Dan for having me. And that's a great question.

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Speaker 3: So there's a lot of confusion around what's a toxic

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Speaker 3: versus a difficult.

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Speaker 5: Or tough boss.

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Speaker 3: And there are a lot of difficult and tough bosses

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Speaker 3: out there. I've encountered a lot of them in my

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Speaker 3: twenty five years in organizational psychology. And the thing is

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Speaker 3: they can be developed into better bosses. They don't cause

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Speaker 3: major harm to people's engagement and productivity and well being,

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Speaker 3: and they don't derail your career. Sure, they cause a

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Speaker 3: lot of frustration. They may be disorganized and bad communicators,

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Speaker 3: but they don't derail your career. Where a toxic boss

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Speaker 3: gets worse over time. Their behaviors are harmful to your

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Speaker 3: physical health, your mental health, and over time they will

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Speaker 3: derail your career and they won't become a better bosses.

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Speaker 3: They're not open to development, and they would never say,

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Speaker 3: doctor Laura, am I a toxic boss? They would never

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Speaker 3: ask that question because they don't think it's ever them.

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Speaker 2: So from the title of your book, I wish I'd

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Speaker 2: quit sooner. You're saying this, no way that you can

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Speaker 2: work with a top boss and help them become a

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Speaker 2: better boss and maybe a better human being. That the

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Speaker 2: smarter play is to get out and get out quickly.

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Speaker 3: That's exactly it. And yes, we could try to help them,

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Speaker 3: but the question is would they be open to help.

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Speaker 3: Probably not, And they should have never been put into

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Speaker 3: people leadership roles because people leadership is hard and not

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Speaker 3: everyone is equipped for it, especially not a toxic personality type,

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Speaker 3: So they should never be leading people. Organizations need to

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Speaker 3: do a better job of who they hire and promote

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Speaker 3: into these roles.

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Speaker 2: You know what organization has good bosses for the most part,

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Speaker 2: The United States Military. The United States Military. Okay, now,

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Speaker 2: I don't know how they figure out. Obviously they trained

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Speaker 2: at places like West Point and Annapolis and the Air

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Speaker 2: Force Academy and the Coast Guard Academy and all the

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Speaker 2: various service academies. But why is it that private businesses

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Speaker 2: And by the way, you know where there were a

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Speaker 2: lot of toxic bosses apparently in Washington Where in Washington, DC?

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Speaker 2: Amongst the politicians, there are stories out there about you know,

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Speaker 2: some of these senators and congressmen really mishandling and mistreating

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Speaker 2: their employees. I'm sure you've read of those. You've read those.

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Speaker 3: Oh yeah, And you know when I first started the

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Speaker 3: research a few years ago because I noticed an increase

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Speaker 3: in toxic workplaces and I saw so many of my

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Speaker 3: clients throughout North America struggling. So started to do research

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Speaker 3: and looked at the research, and there wasn't much on

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Speaker 3: this topic of toxic leadership. There were some in the

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Speaker 3: US military, so what you're saying, you know, there's there's

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Speaker 3: exceptions to that. There are some toxic leadership situations in

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Speaker 3: that institution. But I was surprised to see some of

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Speaker 3: the areas where we found lots of them. Healthcare, higher education.

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Speaker 3: There's no one industry that's immune, so we find them

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Speaker 3: all over the place.

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Speaker 2: Yeah. The other industry that's interesting that changes bosses really

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Speaker 2: quickly professional sports. I mean the NFL has like this

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Speaker 2: Merry go Round. The coaches fired on Tuesday and he's

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Speaker 2: re hired by another team on Thursday afternoon. It just

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Speaker 2: doesn't make sense. They recycle the failures, and you're seeing

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Speaker 2: it even right now. There are about ten coaching positions

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Speaker 2: in the NFL that are open and different. It's kind

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Speaker 2: of funny. It's kind of funny. Is there a sector that,

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Speaker 2: in your opinion, has good bosses?

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Speaker 3: I would say that's an interesting question. I just see

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Speaker 3: it cutting across all sectors. But when we talk about

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Speaker 3: truly toxic bosses, they're the minority.

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Speaker 5: They're not.

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Speaker 3: You know that even if we have five to ten

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Speaker 3: percent of bosses that are toxic, that's impacting millions of lives.

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Speaker 3: And I also want to say, like, there's great leaders

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Speaker 3: out there too, and I you know, I've worked with them,

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Speaker 3: I study them, I admire them. That's about five percent

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Speaker 3: or less than five percent. We need to do a

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Speaker 3: better job at developing great leaders. There's a lot of

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Speaker 3: average leaders, there's a lot of difficult bosses, and there's

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Speaker 3: some good leaders that there's room to improve to build

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Speaker 3: more great leaders.

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Speaker 2: Doctor Mandley love it. What you just described is the

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Speaker 2: bell curve of bosses. Yeah. Literally, I've been.

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Speaker 3: Drawing that out lately on my whiteboard.

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Speaker 2: Yeah, but it's true. I mean, you know, three percent

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Speaker 2: are outstanding, three percent of horrible. Thinking at about a

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Speaker 2: fourteen percent of soul, which are pretty good, and fourteen

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Speaker 2: percent of the other side, which really you don't even

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Speaker 2: want have much to do with. And then in the

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Speaker 2: middle is the grade seventy percent who are kind of okay.

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Speaker 4: It's it is.

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Speaker 2: The beltie, yeah, I mean the bell curve of life.

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Speaker 6: Yeah.

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Speaker 3: And it's the toxic ones that I just have seen

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Speaker 3: an increase in and I think that they're causing major harm.

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Speaker 3: I know they're causing major harm. And I want to

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Speaker 3: help people navigate figure out a way to get out

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Speaker 3: from under it, because you feel trapped when you're in it.

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Speaker 3: And that's why on my book I Wish I Quit Sooner,

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Speaker 3: I have a bird cage because you feel like, literally

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Speaker 3: you're locked in a jail and you're financially dependent on

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Speaker 3: that job and the economy is tough and you can't leave.

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Speaker 2: Okay. So the book is I Wish I Quit Sooner.

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Speaker 2: Practical Strategies for Navigating and Escaping a Toxic Boss. When

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Speaker 2: did the book come out? How new is it? How

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Speaker 2: fresh is it?

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Speaker 4: Seens?

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Speaker 3: And it's on all the formats, including audible, So I

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Speaker 3: narrated it on Audible, And I have a workbook, and

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Speaker 3: I'm really trying to help coach people with activities and

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Speaker 3: strategies and tools to get through this because there is

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Speaker 3: greener grass. On the other side, there is hope for

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Speaker 3: a better place culture for you.

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Speaker 2: I think you missed my quick question initially was I

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Speaker 2: want to know where they can get it. You just

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Speaker 2: told us that how long? How new was the book?

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Speaker 2: When did it come.

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Speaker 3: Out last week? January thirteenth?

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Speaker 2: Perfect. See that's the best answer. Now this is hot

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Speaker 2: off the presses everybody, Amazon, wherever you want to get it.

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Speaker 2: Doctor Hamley Love, appreciate your time tonight.

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Speaker 3: Thank you, Thanks for having me, Dan seeing you welcome,

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Speaker 3: very welcome.

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Speaker 2: When we get back right after the news, we're a

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Speaker 2: minute or too late, but that's okay. It's the eight

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Speaker 2: o'clock hour. Boston accent disappearing. My god, I hope not.

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Speaker 2: We're going to talk with Marjorie Whittaker, she say, speech

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Speaker 2: languish language pathologist, founder of the aptly named Whittaker Group.

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Speaker 2: Back on night Side right after the news at the

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Speaker 2: bottom of the hour.

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Speaker 1: You're on night Side with Dan Ray on w Boston's

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Speaker 1: news radio.

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Speaker 2: Well, now we're going to talk about something that I

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Speaker 2: guess all of us here in New England or in

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Speaker 2: Boston are familiar with, and that is the Boston accent.

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Speaker 2: You know where we pack akah in habit Yad and

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Speaker 2: with us is Marjorie Whittaker, and she has news that

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Speaker 2: within a few more generations, the Boston accent might have

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Speaker 2: might go the way of the Dodo bird. That's frightening

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Speaker 2: to think that our our descendants might not have the

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Speaker 2: charm of a Boston accent. Hi, Marjorie, how are you hid?

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Speaker 5: How are you?

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Speaker 2: I'm doing fine. Worried about losing the Boston accent, though.

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Speaker 5: I don't think you should be worried.

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Speaker 2: Okay, So what's going on? I mean, are people leaving Boston?

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Speaker 2: Are we becoming homogenized?

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Speaker 5: Well, I think there's you know, there's a lot of

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Speaker 5: more diversity in our area than there was, you know,

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Speaker 5: years ago. But I do feel that there are still

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Speaker 5: and I'm hearing less Boston accents with younger generations, with

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Speaker 5: my own children who are in their twenties and their friends.

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Speaker 5: But I do believe that there is certain neighborhoods that

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Speaker 5: the accent is still there is going to be there

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Speaker 5: for a long long time. So I don't think that

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Speaker 5: people need to kind of quite yet.

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Speaker 2: When I fin when I first started working in radio

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Speaker 2: and television back in the nineteen seventies. I know I

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Speaker 2: had a Boston accent, and I made an effort to

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Speaker 2: lose that Boston accent. And I do sometimes slip into

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Speaker 2: it when I'm tired, but for the most part, I

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Speaker 2: do pronounce my letter the letter R, which is really

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Speaker 2: what the Boston accent is all about in other parts

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Speaker 2: of the world. I just came back from New Zealand.

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Speaker 2: You want to talk about an accent. They're talking, they're

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Speaker 2: speaking English. I realized that, but it's another form of English.

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Speaker 2: I mean, it's very.

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Speaker 5: Good in New Zealand. That definitely yeah, I definitely hear

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Speaker 5: you very clipped.

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Speaker 2: They're very quick, and you know, they have their little

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Speaker 2: phrases that they slip in there, and it's like, you know,

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Speaker 2: it's you know anyway, So why are we losing it?

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Speaker 2: Is it just that we are becoming more homogenized, that

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Speaker 2: people are moving in here from places like Iowa and

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Speaker 2: in Kansas where they don't have an accent. It's kind

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Speaker 2: of that's the part of the country that supposedly has

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Speaker 2: the perfect American non accent.

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Speaker 5: Right the broadcasters perfect gold standard for that. I don't

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Speaker 5: I don't know, really. I think it's I think people

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Speaker 5: are just mobile in general. So it's not necessarily the

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Speaker 5: influx of people from the Midwest coming here, but people

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Speaker 5: just moving. It used to be that you were let's

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Speaker 5: say you were born in Dorchester and you grew up

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Speaker 5: there and then you raised your children there, and it's

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Speaker 5: like you weren't really moving. And now we're so mobile,

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Speaker 5: and I think that people just start living in different

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Speaker 5: places and traveling more, and I just don't think it's

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Speaker 5: as entrenched as it was, But I think it's you know,

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Speaker 5: I certainly think that they're that there are towns where

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Speaker 5: it's always going to be there. It's just it's iconic

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Speaker 5: and it's just kind of entrenched in those particular areas.

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Speaker 5: And I don't think it's going to change necessarily because

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Speaker 5: of the demographics. But I do think the younger generation

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Speaker 5: it's not as pronounced as as maybe gring parents their

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Speaker 5: parents in their accents.

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Speaker 2: You just mentioned a part of Boston Dorchester. I assume

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Speaker 2: you meant to pronounce it correctly, tester of course.

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Speaker 5: From here from New Jersey.

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Speaker 2: Well you don't have a Jersey accent?

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Speaker 6: Yeah I can.

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Speaker 2: Did you have one? Did you have to get rid

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Speaker 2: of it?

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Speaker 5: Not real? Not really interestingly, no, I have. I have

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Speaker 5: some relatives who have pretty strong accents from that area,

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Speaker 5: but I never really did growing up. It wasn't a

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Speaker 5: conscious decision to lose it or or modify it in

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Speaker 5: any way. But I have a caller relative.

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Speaker 2: I have a caller who's been with me for years,

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Speaker 2: Gary from New Jersey. I hope he's listening now. He

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Speaker 2: has a great Jersey accent. You don't. I don't have

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Speaker 2: to say Gary from Jersey. It's just Gary, and you

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Speaker 2: know what it is. I think different accents. I have

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Speaker 2: a listener down down in Florida who says that he's

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Speaker 2: been in Florida for twenty years, but people still when

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Speaker 2: they hear him know that he's from Maine because he

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Speaker 2: has that down East accent. I think accents are charming,

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Speaker 2: and I will be I'll be disappointed. They won't disappear

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Speaker 2: in my lifetime, but I think I will be disappointed.

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Speaker 2: And it's it's sad. It saddens me. Now you're a

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Speaker 2: speech langue which pathologist and the founder of the aptly

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Speaker 2: named Whittaker Group. Yeah, what is a speech language pathologist?

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Speaker 2: Do you work with people who have linguistic problems? Is

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Speaker 2: that what a pathologist does, yes.

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Speaker 5: I mean working with someone with accents is not a pathology.

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Speaker 2: Obviously.

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Speaker 5: My training is working with people that have had traumatic

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Speaker 5: brain injury or have Parkinson's disease and other you know,

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Speaker 5: you know, kind of communication disorders. So working with someone

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Speaker 5: to sort of gain more neutral accent is not a pathology.

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Speaker 5: It's just a communication coaching kind of a thing. And

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Speaker 5: I do and I agree with you. I think it

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Speaker 5: will be really sad if the accent went away. But

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Speaker 5: I was thinking about this because I feel like we're

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Speaker 5: in this era of kind of anxiety and loneliness and polarization,

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Speaker 5: and I think there's something about hearing an accent that's

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Speaker 5: comforting and familiar and reassuring. And I think for those reasons,

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Speaker 5: it's not going to go away. Be people, it's like, oh,

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Speaker 5: you sound like me, or you sound like someone I loved,

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Speaker 5: or my great aunt or my grandmother or something like that.

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Speaker 5: And there's something there's that connection that I think is

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Speaker 5: always going to be there. And so I don't think

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Speaker 5: I don't think I just get changes. I think I

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Speaker 5: think accents change over time, and I think they adapt

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Speaker 5: to you know, I mean, the demographic changes and things

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Speaker 5: like that. But I don't think it's We're all going

436
00:25:24,600 --> 00:25:26,359
Speaker 5: to wake up one day and sound like we were

437
00:25:26,880 --> 00:25:29,280
Speaker 5: you know all, you know, raised in Iowa. I don't

438
00:25:29,320 --> 00:25:30,200
Speaker 5: think that's going to happen.

439
00:25:30,560 --> 00:25:34,119
Speaker 2: Yeah. For example, I think the classic difference between a

440
00:25:34,160 --> 00:25:36,960
Speaker 2: Boston accent and a New York accent. We're only separated

441
00:25:37,000 --> 00:25:39,879
Speaker 2: about about two hundred and twenty miles. So if you

442
00:25:39,920 --> 00:25:43,159
Speaker 2: bump into someone walking down the street at Boston on

443
00:25:43,240 --> 00:25:46,920
Speaker 2: Boyleston Street, you'll or I would say something, oh gee,

444
00:25:47,040 --> 00:25:49,440
Speaker 2: pardon me, excuse me, I'm sorry, hope you have a

445
00:25:49,520 --> 00:25:52,160
Speaker 2: nice day. Well, if you go down to New York

446
00:25:52,160 --> 00:25:54,600
Speaker 2: and you happen to be bumped by someone in New York,

447
00:25:54,960 --> 00:25:56,600
Speaker 2: the first thing that I'm going to say to you

448
00:25:56,720 --> 00:25:58,920
Speaker 2: is something like, what's your problem? Pal? You want to

449
00:25:58,960 --> 00:26:07,399
Speaker 2: go right there? Only kidding friends? So, how can folks

450
00:26:07,480 --> 00:26:10,520
Speaker 2: get in touch with you? I appreciate that you've taken

451
00:26:10,560 --> 00:26:14,280
Speaker 2: the time to chat with us, but is there some

452
00:26:14,359 --> 00:26:16,119
Speaker 2: way that there's a group of people out there who

453
00:26:16,160 --> 00:26:18,640
Speaker 2: could benefit from being in touch with you more directly?

454
00:26:19,600 --> 00:26:19,879
Speaker 7: Sure?

455
00:26:20,000 --> 00:26:23,159
Speaker 5: I have I have a website, the Whitaker Group prospeech

456
00:26:23,200 --> 00:26:25,880
Speaker 5: dot com, And if anyone has a question or interest

457
00:26:25,920 --> 00:26:29,240
Speaker 5: in any kind of communication coaching. I'm happy to speak

458
00:26:29,280 --> 00:26:32,680
Speaker 5: with them at this accent coaching, but public speaking or

459
00:26:32,880 --> 00:26:36,720
Speaker 5: presentation training, all sorts of things related to communication. So

460
00:26:36,920 --> 00:26:40,359
Speaker 5: I'm happy to have them reach out. There's a website

461
00:26:40,359 --> 00:26:42,879
Speaker 5: with a contact us page, and happy to speak with

462
00:26:42,920 --> 00:26:45,359
Speaker 5: anyone who is interested in learning more.

463
00:26:45,640 --> 00:26:48,440
Speaker 2: It's great with Marjorie. You sound like you're delightful. You'll

464
00:26:48,480 --> 00:26:51,160
Speaker 2: laugh at my jokes, which is always a great show.

465
00:26:51,280 --> 00:26:55,040
Speaker 2: Of course, well a lot of a lot of people

466
00:26:55,040 --> 00:26:57,520
Speaker 2: don't laugh at my jokes, so you're kind of special.

467
00:26:59,040 --> 00:27:01,920
Speaker 2: I appreciate it for a much, Marjorie. We will talk again,

468
00:27:02,000 --> 00:27:03,040
Speaker 2: I hope. Okay, thanks so.

469
00:27:03,040 --> 00:27:03,800
Speaker 3: Much, Thank you so much.

470
00:27:04,000 --> 00:27:04,960
Speaker 5: It's a pleasure. Thank you.

471
00:27:05,040 --> 00:27:07,359
Speaker 2: I catch you good night when we get back on

472
00:27:07,359 --> 00:27:09,600
Speaker 2: to talk with Tim Beard. A serious subject. He's a

473
00:27:09,600 --> 00:27:14,080
Speaker 2: former CIA officer and security expert. His book Look Twice

474
00:27:14,160 --> 00:27:17,040
Speaker 2: Your Guide just staying Safe in an unsafe world, helping

475
00:27:17,040 --> 00:27:20,920
Speaker 2: everyday people spot risks before they become problems at home

476
00:27:20,960 --> 00:27:23,920
Speaker 2: and work, on the road and in public spaces. Tim

477
00:27:23,960 --> 00:27:26,119
Speaker 2: Beard sounds like my sort of guy. We'll talk with

478
00:27:26,160 --> 00:27:29,920
Speaker 2: Tim Beard right after the break on Nightside.

479
00:27:29,400 --> 00:27:34,400
Speaker 1: Night Side with Dan Ray. I'm telling you Boston's news.

480
00:27:34,280 --> 00:27:40,600
Speaker 2: Radio all Right, this can be a scary world sometimes

481
00:27:40,680 --> 00:27:43,560
Speaker 2: and with us is an author of former CIA officer

482
00:27:43,600 --> 00:27:46,600
Speaker 2: and security expert Tim Beard. He's got a book called

483
00:27:46,640 --> 00:27:49,520
Speaker 2: Look Twice Your Guy, just staying Safe in an unsafe world,

484
00:27:49,560 --> 00:27:53,120
Speaker 2: helping every day people spot risks before they become problems

485
00:27:53,119 --> 00:27:56,320
Speaker 2: at home and work, on the road and in public spaces. Tim,

486
00:27:56,320 --> 00:27:58,560
Speaker 2: you're selling my sort of guy. I'm somebody who really

487
00:27:58,600 --> 00:28:01,119
Speaker 2: does look both ways when across the street, and I

488
00:28:01,160 --> 00:28:04,800
Speaker 2: also do when people are walking up behind me. I'm

489
00:28:04,960 --> 00:28:09,280
Speaker 2: very cognizant of that. And it's not that I'm paranoid,

490
00:28:09,760 --> 00:28:13,720
Speaker 2: because if they're really after you, you're not paranoid. How

491
00:28:13,720 --> 00:28:14,120
Speaker 2: are you.

492
00:28:14,040 --> 00:28:17,000
Speaker 6: Tonight, I'm doing great. Thanks for having me on. I'll

493
00:28:17,040 --> 00:28:19,280
Speaker 6: tell you that's exactly what I'd say too, if you're

494
00:28:19,320 --> 00:28:22,480
Speaker 6: not paranoid, if you're being followed. And so, I mean,

495
00:28:23,320 --> 00:28:26,119
Speaker 6: it's you know, the thing I talk about in these books,

496
00:28:26,119 --> 00:28:28,040
Speaker 6: and there's actually going to be three of them. They

497
00:28:28,080 --> 00:28:30,600
Speaker 6: are going to come out. This one's coming out next week,

498
00:28:30,960 --> 00:28:33,520
Speaker 6: then another one ten febr or another one in ten March.

499
00:28:33,640 --> 00:28:38,280
Speaker 6: They're all related series. What I do is I cover

500
00:28:38,400 --> 00:28:41,120
Speaker 6: something in the first book called the look twice mindset

501
00:28:41,200 --> 00:28:44,400
Speaker 6: something I developed. I was originally I was an inf

502
00:28:44,440 --> 00:28:46,520
Speaker 6: try officer in the Marine Corps for many years, and

503
00:28:46,560 --> 00:28:50,200
Speaker 6: then I was recruited into the CIA and I go

504
00:28:51,640 --> 00:28:54,080
Speaker 6: in the director of Operations. And so what I did

505
00:28:54,120 --> 00:28:56,920
Speaker 6: was I wanted to take a lot of the lessons

506
00:28:57,040 --> 00:28:58,600
Speaker 6: I learned. I had to clear all this through the

507
00:28:58,640 --> 00:29:01,480
Speaker 6: agency to say me do things unless they get to

508
00:29:01,600 --> 00:29:05,440
Speaker 6: prove it. So I want to take the lessons up

509
00:29:06,520 --> 00:29:12,720
Speaker 6: for regular everyday folks. I go home and places safe

510
00:29:13,000 --> 00:29:15,280
Speaker 6: for they and their loves. I took a lot of

511
00:29:15,280 --> 00:29:17,680
Speaker 6: the lessons I learned, and I captured those, and I

512
00:29:17,760 --> 00:29:20,800
Speaker 6: call it's the first twenty seven pages of the first book.

513
00:29:21,400 --> 00:29:24,280
Speaker 6: I call it the look twice mindset, And a lot

514
00:29:24,320 --> 00:29:27,840
Speaker 6: of it comes got to be aware, and you've got

515
00:29:27,880 --> 00:29:30,480
Speaker 6: to be in the moment. You know, a lot a

516
00:29:30,480 --> 00:29:33,000
Speaker 6: lot of your audience, most of them are probably not

517
00:29:33,040 --> 00:29:36,360
Speaker 6: from Seal Team six. They're not going to be closing

518
00:29:36,400 --> 00:29:39,080
Speaker 6: with and destroying the enemy through fire and maneuver, which

519
00:29:39,120 --> 00:29:43,200
Speaker 6: is what the military folks do. People like me, no

520
00:29:43,240 --> 00:29:46,120
Speaker 6: one's coming to help me when I'm by myself doing things,

521
00:29:46,120 --> 00:29:49,080
Speaker 6: which is typical. A lot of your audience is going

522
00:29:49,160 --> 00:29:52,760
Speaker 6: to be. They're just living their life. So if something happens,

523
00:29:52,920 --> 00:29:56,280
Speaker 6: they got to take it. And to do that is

524
00:29:56,320 --> 00:30:00,400
Speaker 6: to plan avoid of void. As I talk about Under

525
00:30:00,440 --> 00:30:04,280
Speaker 6: the Radar, Be the gray Man. These are a lot

526
00:30:04,280 --> 00:30:07,080
Speaker 6: of the basic concepts that I go through and talk about,

527
00:30:07,600 --> 00:30:11,120
Speaker 6: and then over the next fifteen chapters, over all three volumes,

528
00:30:11,560 --> 00:30:16,280
Speaker 6: I apply that to different pieces of people's lives. Business, travel,

529
00:30:17,200 --> 00:30:20,320
Speaker 6: safe tech, going out in the car, going to the subway,

530
00:30:21,000 --> 00:30:23,160
Speaker 6: going and you know, just living your life, going for

531
00:30:23,160 --> 00:30:25,720
Speaker 6: a run. What do you do? How do you apply

532
00:30:25,880 --> 00:30:29,640
Speaker 6: this stuff to avoid problems? That's really what I've developed here.

533
00:30:29,880 --> 00:30:35,360
Speaker 2: Okay, so without getting obviously we can't preview the entire book,

534
00:30:35,400 --> 00:30:38,960
Speaker 2: but give us a couple of examples that you would

535
00:30:39,040 --> 00:30:41,280
Speaker 2: have if we were having a beer in a bar

536
00:30:41,400 --> 00:30:44,640
Speaker 2: somewhere and I asked you what you did. Give us

537
00:30:44,680 --> 00:30:48,400
Speaker 2: a couple of tangible examples that maybe people might not

538
00:30:48,880 --> 00:30:53,040
Speaker 2: think of when they Okay, I always when I lock

539
00:30:53,160 --> 00:30:56,320
Speaker 2: my door, I always double check it just to make

540
00:30:56,360 --> 00:30:59,360
Speaker 2: sure that that it is actually locked. I mean, that

541
00:30:59,520 --> 00:31:02,240
Speaker 2: probably says pretty simple and pretty stupid, but I do.

542
00:31:02,920 --> 00:31:05,240
Speaker 2: I mean, because you don't want in the middle of

543
00:31:05,240 --> 00:31:07,080
Speaker 2: the night someone to be able to find that the

544
00:31:07,120 --> 00:31:08,120
Speaker 2: door's not locked.

545
00:31:09,000 --> 00:31:11,160
Speaker 6: And that's where the title of the book comes from.

546
00:31:11,160 --> 00:31:13,920
Speaker 6: When I when I talk about look twice, a lot

547
00:31:13,960 --> 00:31:16,600
Speaker 6: of times your audience they'll be able to relate to this.

548
00:31:17,280 --> 00:31:20,640
Speaker 6: They look at something, but they don't they see it,

549
00:31:20,640 --> 00:31:23,760
Speaker 6: but they don't actually look at it. So if I said, hey,

550
00:31:23,760 --> 00:31:27,320
Speaker 6: look over there and somebody see somebody that walk by, Hey,

551
00:31:27,320 --> 00:31:31,239
Speaker 6: what were they wearing? I don't know. That's because you

552
00:31:31,320 --> 00:31:34,760
Speaker 6: saw it, but you didn't really look at it. And

553
00:31:34,840 --> 00:31:37,720
Speaker 6: so you know that person was wearing a red sweater

554
00:31:37,920 --> 00:31:40,080
Speaker 6: and they had a ball cap on, and they had

555
00:31:40,120 --> 00:31:43,400
Speaker 6: a pair of you know, dark denim jeans. But you know,

556
00:31:43,480 --> 00:31:45,720
Speaker 6: that's stuff that I was trained to be able to see.

557
00:31:45,800 --> 00:31:48,440
Speaker 6: When I look at something, I look at it thoroughly.

558
00:31:48,840 --> 00:31:51,200
Speaker 6: But a lot of times the technique you use is

559
00:31:51,240 --> 00:31:53,560
Speaker 6: you look at it, you look away, and then you

560
00:31:53,680 --> 00:31:57,280
Speaker 6: look back at it again. Your mind will focus on it.

561
00:31:57,320 --> 00:32:01,000
Speaker 6: Look twice, but you know, so what are what are

562
00:32:01,040 --> 00:32:01,680
Speaker 6: some of the things that.

563
00:32:02,240 --> 00:32:05,160
Speaker 2: Is as that's that's that's very much a learned behavior

564
00:32:05,520 --> 00:32:09,400
Speaker 2: because that's not instinctively what people will do. Most people

565
00:32:09,440 --> 00:32:14,360
Speaker 2: are kind of floating along and everything's okay. I go

566
00:32:14,440 --> 00:32:18,320
Speaker 2: through an intersection with my car, and I'm I've drive

567
00:32:18,400 --> 00:32:22,280
Speaker 2: fairly quickly, but I had I had a guy I

568
00:32:22,280 --> 00:32:25,240
Speaker 2: don't know. It was three months ago. I looked up

569
00:32:25,240 --> 00:32:27,520
Speaker 2: to the right this guy coming down on a bike.

570
00:32:27,560 --> 00:32:29,840
Speaker 2: It was a Sunday morning. I'm heading to the gym.

571
00:32:29,680 --> 00:32:33,400
Speaker 7: And he's flying and he's like wearing a bathrobe in pajamas.

572
00:32:33,440 --> 00:32:36,680
Speaker 7: And this was during the summer, and I thought to myself,

573
00:32:36,720 --> 00:32:40,360
Speaker 7: that's a pretty weird dude flying down the The light

574
00:32:40,440 --> 00:32:43,120
Speaker 7: turn green and I just kept looking at him.

575
00:32:43,240 --> 00:32:45,280
Speaker 2: I knew he was going to blow the light. And

576
00:32:45,360 --> 00:32:47,479
Speaker 2: if I had not paid attention to that. I had

577
00:32:47,520 --> 00:32:51,040
Speaker 2: a guy today in a in a parking lot. I'm driving,

578
00:32:51,160 --> 00:32:53,680
Speaker 2: you know, between a couple of rows, and this dude's

579
00:32:53,760 --> 00:32:57,880
Speaker 2: on his phone, looking at his phone. I had to stop.

580
00:32:57,920 --> 00:33:00,160
Speaker 2: He almost walked into the would have walked in at

581
00:33:00,200 --> 00:33:01,000
Speaker 2: the front of my car.

582
00:33:02,080 --> 00:33:02,320
Speaker 7: Yep.

583
00:33:03,200 --> 00:33:05,280
Speaker 6: I see stuff like this all the time, and that's

584
00:33:05,440 --> 00:33:07,520
Speaker 6: that's one of the you know, security doesn't have to

585
00:33:07,560 --> 00:33:11,760
Speaker 6: be hard. Security is doing the right stuff, the fundamentals,

586
00:33:11,760 --> 00:33:16,480
Speaker 6: the basics, every single time. And so I'll give you

587
00:33:16,480 --> 00:33:19,520
Speaker 6: an example, and your audience will be like this, this

588
00:33:19,600 --> 00:33:21,560
Speaker 6: is simple. It is what you got to do it.

589
00:33:22,840 --> 00:33:25,680
Speaker 6: Put your phone, Put your phone away until you're in

590
00:33:25,720 --> 00:33:27,719
Speaker 6: a safe place what I call in the book a

591
00:33:27,760 --> 00:33:31,680
Speaker 6: hard point. A hard point is a place where you're

592
00:33:31,720 --> 00:33:33,360
Speaker 6: going to be around people, where you're going to be

593
00:33:33,440 --> 00:33:36,720
Speaker 6: separated from an adversary, a potential criminal, somebody may want

594
00:33:36,760 --> 00:33:39,680
Speaker 6: to do you harm. That could be a police station,

595
00:33:39,800 --> 00:33:42,360
Speaker 6: it could be a hospital, could be a large commercial

596
00:33:42,400 --> 00:33:46,160
Speaker 6: facility such as a grocery store or a shopping mall,

597
00:33:46,360 --> 00:33:49,760
Speaker 6: where there's people, where you can be separated from an adversary,

598
00:33:49,760 --> 00:33:52,480
Speaker 6: where you can go get help, you can call for help.

599
00:33:52,840 --> 00:33:56,120
Speaker 6: We'll call that a hard point. If you're walking down

600
00:33:56,200 --> 00:34:00,800
Speaker 6: the street where you're exposed, another term I'll use. If

601
00:34:00,840 --> 00:34:05,440
Speaker 6: you're exposed, you are now a soft target. An adversary

602
00:34:05,520 --> 00:34:06,920
Speaker 6: is can to look over and they're going to see

603
00:34:06,920 --> 00:34:09,520
Speaker 6: this person's not paying attention. Oh and I see the

604
00:34:09,560 --> 00:34:12,040
Speaker 6: fancy watch, or I see the handbag on the shoulder.

605
00:34:12,520 --> 00:34:15,560
Speaker 6: They're an easy mark, a soft target because their head

606
00:34:15,600 --> 00:34:18,160
Speaker 6: is in their phone. Put your phone away if you

607
00:34:18,239 --> 00:34:21,239
Speaker 6: need to use it, go to a hard point, or

608
00:34:21,239 --> 00:34:23,600
Speaker 6: at least a place where you're a little more secure,

609
00:34:23,960 --> 00:34:26,440
Speaker 6: and then look at your phone. But when you're walking

610
00:34:26,480 --> 00:34:29,520
Speaker 6: down the street, keep your head up, keep your head

611
00:34:29,520 --> 00:34:33,279
Speaker 6: on a swivel, as we say, looking around, move deliberately

612
00:34:33,320 --> 00:34:37,839
Speaker 6: and move with confidence. Another thing, take the headphones off,

613
00:34:37,920 --> 00:34:41,120
Speaker 6: take the earbuds out of the ears, because if you

614
00:34:41,200 --> 00:34:44,919
Speaker 6: strip yourself of one of your senses, you're that much

615
00:34:44,960 --> 00:34:49,200
Speaker 6: more vulnerable. Those are two easy things that everybody can do.

616
00:34:49,920 --> 00:34:53,720
Speaker 6: Now here's another one though, which is a really important piece.

617
00:34:53,760 --> 00:34:58,040
Speaker 6: It's called establishing a baseline. You should have a baseline

618
00:34:58,080 --> 00:35:02,960
Speaker 6: about what's normal and around your home, around the place

619
00:35:02,960 --> 00:35:07,319
Speaker 6: where you work, where you worship, where you shop, whether

620
00:35:07,360 --> 00:35:11,560
Speaker 6: it's a shopping mall or a grocery store, you should know, hey,

621
00:35:11,560 --> 00:35:15,960
Speaker 6: what's right, look like, what is normal, what's not? And

622
00:35:16,040 --> 00:35:20,160
Speaker 6: so if something starts to deviate from that, you got

623
00:35:20,160 --> 00:35:21,759
Speaker 6: to make a judgment call. But it may be time

624
00:35:21,800 --> 00:35:24,160
Speaker 6: to go, I mean right now. And that's where you

625
00:35:24,320 --> 00:35:27,080
Speaker 6: move to a hard point or a place of safety.

626
00:35:27,480 --> 00:35:29,920
Speaker 6: You at least get out of that area, especially if

627
00:35:29,960 --> 00:35:34,480
Speaker 6: you feel something starting to develop. I cover these in

628
00:35:34,520 --> 00:35:38,359
Speaker 6: the books. I use case studies and scenarios. I say, hey,

629
00:35:38,360 --> 00:35:41,040
Speaker 6: this is what happened, this is what they did right,

630
00:35:41,239 --> 00:35:43,160
Speaker 6: and this is what they did wrong. That way, the

631
00:35:44,120 --> 00:35:47,439
Speaker 6: audience will be able to read that and they can say, Hey,

632
00:35:47,480 --> 00:35:48,400
Speaker 6: that's like me.

633
00:35:48,880 --> 00:35:52,080
Speaker 2: I love case studies, the case study method. Harvard Business

634
00:35:52,080 --> 00:35:55,759
Speaker 2: Schools perfected it many years ago, and it's a great

635
00:35:55,800 --> 00:35:58,480
Speaker 2: teaching tool. The book has looked twice. Your Guide to

636
00:35:58,560 --> 00:36:02,160
Speaker 2: Staying Safe in an Unsafe World. The author you had

637
00:36:02,280 --> 00:36:05,440
Speaker 2: just heard from his Tim Beard, former CIA officer and

638
00:36:05,440 --> 00:36:08,359
Speaker 2: security expert. By the way, the guy who I could

639
00:36:08,440 --> 00:36:11,200
Speaker 2: have easily if I wasn't looking through could have I

640
00:36:11,239 --> 00:36:13,920
Speaker 2: wasn't going at a fast speed, it would it probably

641
00:36:13,920 --> 00:36:16,000
Speaker 2: would have, you know, messed up his knees or something.

642
00:36:16,320 --> 00:36:20,160
Speaker 2: When he finally when I stopped, and he literally, I know,

643
00:36:21,000 --> 00:36:23,839
Speaker 2: is surprised that the car is that proximate to him.

644
00:36:24,520 --> 00:36:28,920
Speaker 2: He looked at me and wasn't like him. Man, Sorry, dude,

645
00:36:29,080 --> 00:36:31,080
Speaker 2: you know it was like and I just looked at him,

646
00:36:31,120 --> 00:36:33,680
Speaker 2: you know, just gave me a bad eye look, which

647
00:36:33,800 --> 00:36:39,719
Speaker 2: because you're an idiot. He got the message. Tim, appreciate

648
00:36:39,800 --> 00:36:41,799
Speaker 2: the call. Let to have you on some night and

649
00:36:41,840 --> 00:36:44,120
Speaker 2: maybe we'll go a little longer. Take some phone calls

650
00:36:44,120 --> 00:36:47,399
Speaker 2: from people, and they might be able to describe some

651
00:36:47,440 --> 00:36:49,960
Speaker 2: situations they found themselves in, and you can tell them

652
00:36:49,960 --> 00:36:51,280
Speaker 2: what they did right, what they did wrong.

653
00:36:52,120 --> 00:36:54,480
Speaker 6: And if you could have folks check out my website,

654
00:36:54,560 --> 00:36:59,880
Speaker 6: it's Tim Beard to b E r D. Timbeardauthor dot com.

655
00:37:00,160 --> 00:37:01,840
Speaker 6: They can see my picture on there and they can

656
00:37:01,920 --> 00:37:03,640
Speaker 6: read a little about the books. And I would love

657
00:37:03,640 --> 00:37:05,560
Speaker 6: to come back on. Thanks for having me on tonight.

658
00:37:05,600 --> 00:37:07,880
Speaker 2: This has been great my pleasure, Jim. I enjoyed it

659
00:37:08,040 --> 00:37:11,320
Speaker 2: very much. You've been a great guest. Thanks again, thank you.

660
00:37:11,440 --> 00:37:13,800
Speaker 2: When we get back, we're going to talk about more

661
00:37:15,160 --> 00:37:21,799
Speaker 2: murder one convicts released because they are emerging adults from

662
00:37:21,800 --> 00:37:28,280
Speaker 2: the Massachusetts prison system. This is what's going on in Massachusetts,

663
00:37:28,360 --> 00:37:30,680
Speaker 2: and if you haven't heard about it, you gotta listen

664
00:37:30,760 --> 00:37:32,279
Speaker 2: up back on Night Side right after this