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#2750Truth, Lies and Work63.0 / 100Get badge
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Truth, Lies and Work

Hosted by HubSpot Podcast Network

★5.0on Apple Podcasts · 22 recent reviews

Truth, Lies & Work is the UK's #1 Management Podcast. Brought to you by the HubSpot Podcast Network, this award-winning podcast is where behavioural science meets workplace culture.

319 episodes · publishes daily · latest 2026-07-02 · ~56 min/episode

Rank

#2750

Substance

63.0

/ 100

Breakdown

Scored 2026-07
Updated monthly

HR rank

#147 of 379

Best B2B HR Podcasts →

Across the index

#2750 of 6181

Substance

Top 44%

outscores 56% of the index

Why it scores where it does

Truth, Lies and Work ranks #2750 on The B2B Podcast Index with a substance score of 63.0 out of 100, scored across 1 recent episode. It scores highest on specificity & evidence and originality. The research-heavy segments cite real studies with sample sizes, years, and named researchers (Vandello et al. 2007 with 71 participants, 1500+ people across 1800 conversations, Kim 2008 water testing study), and the Ford story includes concrete numbers like 300 rehired inspectors and 900 AI cameras; the advice segments are considerably vaguer.

The five-dimension breakdown

Averaged across 1 recently scored episode, with cited evidence.

Insight Density

13.0 / 20

The underdog psychology and disagreement-medium research segments contain genuinely non-obvious findings (effort heuristic, the 84% vs 7% writing vs speaking split, context-dependency of underdog support), but roughly half the runtime is World Cup banter, name jokes, and light commentary on news items without analytical depth.

“despite speaking, producing the better outcome every time. 84% said they'd choose to write”

“the people who talked out understood each other better. They felt less conflict, they liked the other person more”

Originality

14.0 / 20

The underdog segment delivers a genuinely counterintuitive nuanced argument - that underdog support is 'a mile wide, an inch deep,' automatic rather than moral, and collapses under high stakes - which is fresher than typical pop-psych takes; however the management advice and AI commentary are entirely conventional.

“it's a mile wide, an inch deep, uh, so that shallowness shows up In a number of different studies as well”

“we love an underdog, but we need to believe they've actually earned that status”

Guest Caliber

9.0 / 20

There are no guests in this episode whatsoever - it is entirely the two co-hosts; Leanne's credential as a charter occupational psychologist provides some practitioner legitimacy when interpreting research, but no external operator or expert voice is present.

“my name is Al. I'm a business owner and I'm here to ask the questions you might be afraid to.”

“And, um, my name is Leanne. I'm a charter occupational psychologist and I'm here to answer them.”

Specificity & Evidence

15.0 / 20

The research-heavy segments cite real studies with sample sizes, years, and named researchers (Vandello et al. 2007 with 71 participants, 1500+ people across 1800 conversations, Kim 2008 water testing study), and the Ford story includes concrete numbers like 300 rehired inspectors and 900 AI cameras; the advice segments are considerably vaguer.

“71 people were shown Olympic swimming matchups between countries with very different medal histories”

“they ran a series of experiments with more than 1500 people. Over 1800 conversations”

Conversational Craft

12.0 / 20

Al occasionally asks connective follow-ups ('how does that fit in with the hide the wires technique?') and the surgery format prompts decent practitioner reflection, but there is no guest to challenge, claims from cited studies go entirely unchallenged, and a large proportion of the runtime is consumed by unfocused banter.

“Can I ask you, how does that fit in with another management technique by, uh, your ex favorite manager, John.”

“Now, I think there's potentially something here which you're going to talk about. And I think you're going to talk about something, um, on the, uh, neurodiversity spectrum”

Standout episodes

  • 314. Why do we all love an underdog? PLUS! Responsible A.I., Ford's human rehiring spree AND the psychology of disagreements.

    2026-06-30

    63

Rank over time

First period on the Index - history builds from here.

Episodes

1 scored on substance · 61 tracked in total.

  • 314. Why do we all love an underdog? PLUS! Responsible A.I., Ford's human rehiring spree AND the psychology of disagreements.

    2026-06-30 · 52 min

    63 / 100

What listeners say on Apple Podcasts

★★★★★
Great crew
Fabulous conversations that find a way to hit home all the time.

- Ahendon2020

★★★★★
Love this pod!
So grateful to have gotten connected with Leanne and Al. Two of the greatest! I love this podcast. So many great insights!

- The Naked Room

Frequently asked

What is Truth, Lies and Work's substance score?
Truth, Lies and Work scores 63.0 out of 100 for substance and ranks #2750 on The B2B Podcast Index. That puts it ahead of 56% of the B2B podcasts we rank and #147 of 379 in HR. The score reflects insight density, originality, guest caliber, specificity and conversational craft across recent episodes - not downloads.
Is Truth, Lies and Work worth listening to?
Yes - Truth, Lies and Work outscores 56% of the B2B hr podcasts and shows we rank on substance, so a hr operator is likely to come away with something useful.
Who hosts Truth, Lies and Work?
Truth, Lies and Work is hosted by HubSpot Podcast Network.
How often does Truth, Lies and Work publish?
Truth, Lies and Work publishes daily, has 319 episodes, released its most recent episode on 2026-07-02.
Which Truth, Lies and Work episode should I start with?
Our highest-scoring recent episode is "314. Why do we all love an underdog? PLUS! Responsible A.I., Ford's human rehiring spree AND the psychology of disagreements." (63/100) - a good place to start.

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Frequently discusses

Companies, products and tools that come up most across this show's episodes.

NatWestFordHubSpotUniversity of EdinburghImperial College LondonUC Berkeley

Topics this show covers

The themes that come up most across this show's episodes.

UC BerkeleyResponsible AINatWest BankUniversity of EdinburghAI ethics trainingFord Motor CompanyAI quality inspection camerasImperial College LondonNature CommunicationsWorkplace disagreement research

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