May 17, 2021 · 1h 3m · capital-allocators

Dan Ariely – The Human Capital Factor (Capital Allocators, EP.195)

Dan Ariely · 43m spoken Ted Seides · 11m spoken
0:00 / 0:00

gold bands on the timeline = statements, start to end. Hover to read, click to jump. CC turns on captions

In this episode of Capital Allocators, host Ted Seides interviews behavioral economist Dan Ariely on how quantifying employee motivation, workplace fairness, and genuine corporate culture produces durable public equity alpha. Ariely explores the methodology behind Irrational Capital's indexes, critiques superficial ESG and diversity metrics, and highlights the crucial role of intrinsic motivation in modern remote workplaces.

How this conversation actually went

Every chapter scored 0–10 on four independent dynamics. Hover any point for the reasoning behind the score. Ted holds 19.7% of the talking time here. How this is scored →

Ted as informed peer 4.1 Guest teaching 5.3 Guest disagreement 1.0 Ted pushing back 0.1
05100:0015:0030:0045:001:00:005:30–7:40 · Ted as informed peer 4/10 Refining the Human Capital Model and Finding Alpha Ted opens the interview by reviewing Dan's background and early model from their previous conversation. Dan explains how his research evolved to quantify the human capital factor and identify stock market alpha.7:40–12:00 · Ted as informed peer 3/10 Survey Methodologies and the Subjective Measurement of Motivation Ted asks whether surveys are the primary methodology for gathering data. Dan justifies subjective survey reporting using an analogy to pain measurement in medicine.12:01–18:23 · Ted as informed peer 4/10 Extracting Culture Signals and Alignment from Public Reviews Ted prompts Dan on how to extract useful signals from public reviews like Glassdoor. Dan details how the perception gap between management and rank-and-file workers creates a strong signal around alignment and goodwill.18:23–23:51 · Ted as informed peer 5/10 Critique of the SHE Index and Direct Gender Sentiment Gaps Dan pauses Ted's question to critique the SHE Index, asking Ted to predict its performance. When Ted guesses slight outperformance, Dan reveals it systematically underperformed due to box-checking superficial representation rather than measuring internal female sentiment.23:51–27:42 · Ted as informed peer 4/10 ESG Limitations and Connecting Corporate Values to Financial Performance Dan critiques ESG investing approaches for lacking a clear causal mechanism linking moral initiatives to financial profitability, arguing that employee motivation is the true primary transmission channel.27:42–30:25 · Ted as informed peer 4/10 Elevating HR to R&D and Opportunities for Active Investors Ted asks how research insights can best be deployed. Dan advocates for treating HR as an experimental R&D function rather than a legal compliance team and suggests activist investors incorporate culture metrics.30:25–33:33 · Ted as informed peer 3/10 Index Outperformance and COVID-19 Workplace Dynamics Dan outlines how Irrational Capital's factor performed during the initial COVID shock, noting that appreciation, inclusive innovation, and baseline benefits saw increased importance.33:35–38:54 · Ted as informed peer 4/10 Sponsor Message: Ridgeline Front-to-Back Platform Following a sponsor break, Ted asks if sector differences alter the factor's validity. Dan reframes the premise by recounting an anecdote of a pipe factory worker to show autonomy matters equally in blue-collar manufacturing.38:54–41:46 · Ted as informed peer 5/10 Sector-Agnostic Weighting and Remote Work Intrinsic Motivation Ted asks whether the index normalizes across S&P sectors. Dan explains why their strategy is intentionally sector-agnostic and explains why remote work elevates the need for intrinsic motivation.41:47–45:04 · Ted as informed peer 4/10 Pure Index Construction, Equal Weighting, and Custom Constraints Ted asks how the index is constructed mechanically. Dan outlines the pure top-quintile equal-weighted index, quarterly rebalancing, and its estimated 18-month data half-life.45:05–49:12 · Ted as informed peer 5/10 Handling Mergers, Corporate Upheaval, and J.P. Morgan Validation Ted inquires about corporate structural disruptions like M&A. Dan discusses their systematic algorithmic exclusions and cites J.P. Morgan's independent quantitative validation of the human capital factor.49:12–53:26 · Ted as informed peer 6/10 Constructing the Gender Index and Quadrant Outperformance Ted drills into the gender index methodology and asks whether companies with equal treatment across gender perform differently if overall treatment is positive or negative. Dan elaborates on the four-quadrant distribution.53:26–56:37 · Ted as informed peer 3/10 Irrational Capital Product Distribution and Mission Ted asks where investors can access these strategies, and Dan reviews Irrational Capital's distribution partnerships across ETFs, SMAs, and mutual funds.56:38–59:33 · Ted as informed peer 4/10 Ask Ariely: Pre-Surgery Anxiety and the Intra-Empathy Gap Ted prompts Dan about his Wall Street Journal advice column. Dan shares advice given to a surgical patient to illustrate the psychological concept of the intra-empathy gap.59:33–1:02:53 · Ted as informed peer 4/10 Birthday Reflections and Designing Intentional Travel Post-COVID Dan reflects on his recent birthday, lessons learned from pandemic travel reductions, and making intentional lifestyle shifts before wrapping up with Ted.5:30–7:40 · Guest teaching 5/10 Refining the Human Capital Model and Finding Alpha Ted opens the interview by reviewing Dan's background and early model from their previous conversation. Dan explains how his research evolved to quantify the human capital factor and identify stock market alpha.7:40–12:00 · Guest teaching 6/10 Survey Methodologies and the Subjective Measurement of Motivation Ted asks whether surveys are the primary methodology for gathering data. Dan justifies subjective survey reporting using an analogy to pain measurement in medicine.12:01–18:23 · Guest teaching 6/10 Extracting Culture Signals and Alignment from Public Reviews Ted prompts Dan on how to extract useful signals from public reviews like Glassdoor. Dan details how the perception gap between management and rank-and-file workers creates a strong signal around alignment and goodwill.18:23–23:51 · Guest teaching 7/10 Critique of the SHE Index and Direct Gender Sentiment Gaps Dan pauses Ted's question to critique the SHE Index, asking Ted to predict its performance. When Ted guesses slight outperformance, Dan reveals it systematically underperformed due to box-checking superficial representation rather than measuring internal female sentiment.23:51–27:42 · Guest teaching 6/10 ESG Limitations and Connecting Corporate Values to Financial Performance Dan critiques ESG investing approaches for lacking a clear causal mechanism linking moral initiatives to financial profitability, arguing that employee motivation is the true primary transmission channel.27:42–30:25 · Guest teaching 5/10 Elevating HR to R&D and Opportunities for Active Investors Ted asks how research insights can best be deployed. Dan advocates for treating HR as an experimental R&D function rather than a legal compliance team and suggests activist investors incorporate culture metrics.30:25–33:33 · Guest teaching 5/10 Index Outperformance and COVID-19 Workplace Dynamics Dan outlines how Irrational Capital's factor performed during the initial COVID shock, noting that appreciation, inclusive innovation, and baseline benefits saw increased importance.33:35–38:54 · Guest teaching 6/10 Sponsor Message: Ridgeline Front-to-Back Platform Following a sponsor break, Ted asks if sector differences alter the factor's validity. Dan reframes the premise by recounting an anecdote of a pipe factory worker to show autonomy matters equally in blue-collar manufacturing.38:54–41:46 · Guest teaching 5/10 Sector-Agnostic Weighting and Remote Work Intrinsic Motivation Ted asks whether the index normalizes across S&P sectors. Dan explains why their strategy is intentionally sector-agnostic and explains why remote work elevates the need for intrinsic motivation.41:47–45:04 · Guest teaching 5/10 Pure Index Construction, Equal Weighting, and Custom Constraints Ted asks how the index is constructed mechanically. Dan outlines the pure top-quintile equal-weighted index, quarterly rebalancing, and its estimated 18-month data half-life.45:05–49:12 · Guest teaching 4/10 Handling Mergers, Corporate Upheaval, and J.P. Morgan Validation Ted inquires about corporate structural disruptions like M&A. Dan discusses their systematic algorithmic exclusions and cites J.P. Morgan's independent quantitative validation of the human capital factor.49:12–53:26 · Guest teaching 5/10 Constructing the Gender Index and Quadrant Outperformance Ted drills into the gender index methodology and asks whether companies with equal treatment across gender perform differently if overall treatment is positive or negative. Dan elaborates on the four-quadrant distribution.53:26–56:37 · Guest teaching 4/10 Irrational Capital Product Distribution and Mission Ted asks where investors can access these strategies, and Dan reviews Irrational Capital's distribution partnerships across ETFs, SMAs, and mutual funds.56:38–59:33 · Guest teaching 6/10 Ask Ariely: Pre-Surgery Anxiety and the Intra-Empathy Gap Ted prompts Dan about his Wall Street Journal advice column. Dan shares advice given to a surgical patient to illustrate the psychological concept of the intra-empathy gap.59:33–1:02:53 · Guest teaching 4/10 Birthday Reflections and Designing Intentional Travel Post-COVID Dan reflects on his recent birthday, lessons learned from pandemic travel reductions, and making intentional lifestyle shifts before wrapping up with Ted.5:30–7:40 · Guest disagreement 1/10 Refining the Human Capital Model and Finding Alpha Ted opens the interview by reviewing Dan's background and early model from their previous conversation. Dan explains how his research evolved to quantify the human capital factor and identify stock market alpha.7:40–12:00 · Guest disagreement 2/10 Survey Methodologies and the Subjective Measurement of Motivation Ted asks whether surveys are the primary methodology for gathering data. Dan justifies subjective survey reporting using an analogy to pain measurement in medicine.12:01–18:23 · Guest disagreement 1/10 Extracting Culture Signals and Alignment from Public Reviews Ted prompts Dan on how to extract useful signals from public reviews like Glassdoor. Dan details how the perception gap between management and rank-and-file workers creates a strong signal around alignment and goodwill.18:23–23:51 · Guest disagreement 3/10 Critique of the SHE Index and Direct Gender Sentiment Gaps Dan pauses Ted's question to critique the SHE Index, asking Ted to predict its performance. When Ted guesses slight outperformance, Dan reveals it systematically underperformed due to box-checking superficial representation rather than measuring internal female sentiment.23:51–27:42 · Guest disagreement 2/10 ESG Limitations and Connecting Corporate Values to Financial Performance Dan critiques ESG investing approaches for lacking a clear causal mechanism linking moral initiatives to financial profitability, arguing that employee motivation is the true primary transmission channel.27:42–30:25 · Guest disagreement 1/10 Elevating HR to R&D and Opportunities for Active Investors Ted asks how research insights can best be deployed. Dan advocates for treating HR as an experimental R&D function rather than a legal compliance team and suggests activist investors incorporate culture metrics.30:25–33:33 · Guest disagreement 0/10 Index Outperformance and COVID-19 Workplace Dynamics Dan outlines how Irrational Capital's factor performed during the initial COVID shock, noting that appreciation, inclusive innovation, and baseline benefits saw increased importance.33:35–38:54 · Guest disagreement 2/10 Sponsor Message: Ridgeline Front-to-Back Platform Following a sponsor break, Ted asks if sector differences alter the factor's validity. Dan reframes the premise by recounting an anecdote of a pipe factory worker to show autonomy matters equally in blue-collar manufacturing.38:54–41:46 · Guest disagreement 1/10 Sector-Agnostic Weighting and Remote Work Intrinsic Motivation Ted asks whether the index normalizes across S&P sectors. Dan explains why their strategy is intentionally sector-agnostic and explains why remote work elevates the need for intrinsic motivation.41:47–45:04 · Guest disagreement 0/10 Pure Index Construction, Equal Weighting, and Custom Constraints Ted asks how the index is constructed mechanically. Dan outlines the pure top-quintile equal-weighted index, quarterly rebalancing, and its estimated 18-month data half-life.45:05–49:12 · Guest disagreement 0/10 Handling Mergers, Corporate Upheaval, and J.P. Morgan Validation Ted inquires about corporate structural disruptions like M&A. Dan discusses their systematic algorithmic exclusions and cites J.P. Morgan's independent quantitative validation of the human capital factor.49:12–53:26 · Guest disagreement 1/10 Constructing the Gender Index and Quadrant Outperformance Ted drills into the gender index methodology and asks whether companies with equal treatment across gender perform differently if overall treatment is positive or negative. Dan elaborates on the four-quadrant distribution.53:26–56:37 · Guest disagreement 0/10 Irrational Capital Product Distribution and Mission Ted asks where investors can access these strategies, and Dan reviews Irrational Capital's distribution partnerships across ETFs, SMAs, and mutual funds.56:38–59:33 · Guest disagreement 1/10 Ask Ariely: Pre-Surgery Anxiety and the Intra-Empathy Gap Ted prompts Dan about his Wall Street Journal advice column. Dan shares advice given to a surgical patient to illustrate the psychological concept of the intra-empathy gap.59:33–1:02:53 · Guest disagreement 0/10 Birthday Reflections and Designing Intentional Travel Post-COVID Dan reflects on his recent birthday, lessons learned from pandemic travel reductions, and making intentional lifestyle shifts before wrapping up with Ted.5:30–7:40 · Ted pushing back 0/10 Refining the Human Capital Model and Finding Alpha Ted opens the interview by reviewing Dan's background and early model from their previous conversation. Dan explains how his research evolved to quantify the human capital factor and identify stock market alpha.7:40–12:00 · Ted pushing back 0/10 Survey Methodologies and the Subjective Measurement of Motivation Ted asks whether surveys are the primary methodology for gathering data. Dan justifies subjective survey reporting using an analogy to pain measurement in medicine.12:01–18:23 · Ted pushing back 0/10 Extracting Culture Signals and Alignment from Public Reviews Ted prompts Dan on how to extract useful signals from public reviews like Glassdoor. Dan details how the perception gap between management and rank-and-file workers creates a strong signal around alignment and goodwill.18:23–23:51 · Ted pushing back 1/10 Critique of the SHE Index and Direct Gender Sentiment Gaps Dan pauses Ted's question to critique the SHE Index, asking Ted to predict its performance. When Ted guesses slight outperformance, Dan reveals it systematically underperformed due to box-checking superficial representation rather than measuring internal female sentiment.23:51–27:42 · Ted pushing back 0/10 ESG Limitations and Connecting Corporate Values to Financial Performance Dan critiques ESG investing approaches for lacking a clear causal mechanism linking moral initiatives to financial profitability, arguing that employee motivation is the true primary transmission channel.27:42–30:25 · Ted pushing back 0/10 Elevating HR to R&D and Opportunities for Active Investors Ted asks how research insights can best be deployed. Dan advocates for treating HR as an experimental R&D function rather than a legal compliance team and suggests activist investors incorporate culture metrics.30:25–33:33 · Ted pushing back 0/10 Index Outperformance and COVID-19 Workplace Dynamics Dan outlines how Irrational Capital's factor performed during the initial COVID shock, noting that appreciation, inclusive innovation, and baseline benefits saw increased importance.33:35–38:54 · Ted pushing back 0/10 Sponsor Message: Ridgeline Front-to-Back Platform Following a sponsor break, Ted asks if sector differences alter the factor's validity. Dan reframes the premise by recounting an anecdote of a pipe factory worker to show autonomy matters equally in blue-collar manufacturing.38:54–41:46 · Ted pushing back 0/10 Sector-Agnostic Weighting and Remote Work Intrinsic Motivation Ted asks whether the index normalizes across S&P sectors. Dan explains why their strategy is intentionally sector-agnostic and explains why remote work elevates the need for intrinsic motivation.41:47–45:04 · Ted pushing back 0/10 Pure Index Construction, Equal Weighting, and Custom Constraints Ted asks how the index is constructed mechanically. Dan outlines the pure top-quintile equal-weighted index, quarterly rebalancing, and its estimated 18-month data half-life.45:05–49:12 · Ted pushing back 0/10 Handling Mergers, Corporate Upheaval, and J.P. Morgan Validation Ted inquires about corporate structural disruptions like M&A. Dan discusses their systematic algorithmic exclusions and cites J.P. Morgan's independent quantitative validation of the human capital factor.49:12–53:26 · Ted pushing back 0/10 Constructing the Gender Index and Quadrant Outperformance Ted drills into the gender index methodology and asks whether companies with equal treatment across gender perform differently if overall treatment is positive or negative. Dan elaborates on the four-quadrant distribution.53:26–56:37 · Ted pushing back 0/10 Irrational Capital Product Distribution and Mission Ted asks where investors can access these strategies, and Dan reviews Irrational Capital's distribution partnerships across ETFs, SMAs, and mutual funds.56:38–59:33 · Ted pushing back 0/10 Ask Ariely: Pre-Surgery Anxiety and the Intra-Empathy Gap Ted prompts Dan about his Wall Street Journal advice column. Dan shares advice given to a surgical patient to illustrate the psychological concept of the intra-empathy gap.59:33–1:02:53 · Ted pushing back 0/10 Birthday Reflections and Designing Intentional Travel Post-COVID Dan reflects on his recent birthday, lessons learned from pandemic travel reductions, and making intentional lifestyle shifts before wrapping up with Ted.

speaking balance: gold is Ted, purple is the guest (3 minute bins)

0:00 · Ted 100% · guest 0%0:00 · Ted 100% · guest 0%3:00 · Ted 97% · guest 3%3:00 · Ted 97% · guest 3%6:00 · Ted 5% · guest 95%6:00 · Ted 5% · guest 95%9:00 · Ted 1.5% · guest 98.5%9:00 · Ted 1.5% · guest 98.5%12:00 · Ted 16.6% · guest 83.4%12:00 · Ted 16.6% · guest 83.4%15:00 · Ted 0% · guest 100%15:00 · Ted 0% · guest 100%18:00 · Ted 19.7% · guest 80.3%18:00 · Ted 19.7% · guest 80.3%21:00 · Ted 7% · guest 93%21:00 · Ted 7% · guest 93%24:00 · Ted 0% · guest 100%24:00 · Ted 0% · guest 100%27:00 · Ted 13.6% · guest 86.4%27:00 · Ted 13.6% · guest 86.4%30:00 · Ted 2.5% · guest 97.5%30:00 · Ted 2.5% · guest 97.5%33:00 · Ted 49.7% · guest 50.3%33:00 · Ted 49.7% · guest 50.3%36:00 · Ted 2.9% · guest 97.1%36:00 · Ted 2.9% · guest 97.1%39:00 · Ted 15.7% · guest 84.3%39:00 · Ted 15.7% · guest 84.3%42:00 · Ted 5.9% · guest 94.1%42:00 · Ted 5.9% · guest 94.1%45:00 · Ted 15.9% · guest 84.1%45:00 · Ted 15.9% · guest 84.1%48:00 · Ted 9.7% · guest 90.3%48:00 · Ted 9.7% · guest 90.3%51:00 · Ted 18.2% · guest 81.8%51:00 · Ted 18.2% · guest 81.8%54:00 · Ted 18.1% · guest 81.9%54:00 · Ted 18.1% · guest 81.9%57:00 · Ted 2.1% · guest 97.9%57:00 · Ted 2.1% · guest 97.9%1:00:00 · Ted 9.3% · guest 90.7%1:00:00 · Ted 9.3% · guest 90.7%1:03:00 · Ted 100% · guest 0%1:03:00 · Ted 100% · guest 0%
Sharpest disagreement ▶ 19:44 Dan counters Ted's assumption on the SHE index

Dan directly tests Ted on the market performance of the SHE index and promptly debunks Ted's optimistic guess with hard negative return data.

Hardest push from Ted ▶ 52:07 Ted presses on quadrant interactions in gender data

Ted challenges the underlying assumptions of the gender gap metric by asking whether equal treatment across genders remains additive if a firm mistreats all employees uniformly.

Biggest teaching moment ▶ 21:00 Dan explains the failure of check-the-box governance proxies

Dan educates Ted on why board-level diversity metrics fail to correlate with alpha when they substitute superficial box-checking for broad rank-and-file sentiment.

Ted holds their own ▶ 38:54 Ted probes sector normalization and systemic biases

Ted demonstrates deep index construction and portfolio theory knowledge by questioning whether sector biases distort the isolation of the pure human capital factor.

the scores for every segment, with the reasoning behind each
ChapterTopicTed as informed peerGuest teachingGuest disagreementTed pushing backWhy
Refining the Human Capital Model and Finding Alpha 4510 Ted opens the interview by reviewing Dan's background and early model from their previous conversation. Dan explains how his research evolved to quantify the human capital factor and identify stock market alpha.
Survey Methodologies and the Subjective Measurement of Motivation 3620 Ted asks whether surveys are the primary methodology for gathering data. Dan justifies subjective survey reporting using an analogy to pain measurement in medicine.
Extracting Culture Signals and Alignment from Public Reviews 4610 Ted prompts Dan on how to extract useful signals from public reviews like Glassdoor. Dan details how the perception gap between management and rank-and-file workers creates a strong signal around alignment and goodwill.
Critique of the SHE Index and Direct Gender Sentiment Gaps 5731 Dan pauses Ted's question to critique the SHE Index, asking Ted to predict its performance. When Ted guesses slight outperformance, Dan reveals it systematically underperformed due to box-checking superficial representation rather than measuring internal female sentiment.
ESG Limitations and Connecting Corporate Values to Financial Performance 4620 Dan critiques ESG investing approaches for lacking a clear causal mechanism linking moral initiatives to financial profitability, arguing that employee motivation is the true primary transmission channel.
Elevating HR to R&D and Opportunities for Active Investors 4510 Ted asks how research insights can best be deployed. Dan advocates for treating HR as an experimental R&D function rather than a legal compliance team and suggests activist investors incorporate culture metrics.
Index Outperformance and COVID-19 Workplace Dynamics 3500 Dan outlines how Irrational Capital's factor performed during the initial COVID shock, noting that appreciation, inclusive innovation, and baseline benefits saw increased importance.
Sponsor Message: Ridgeline Front-to-Back Platform 4620 Following a sponsor break, Ted asks if sector differences alter the factor's validity. Dan reframes the premise by recounting an anecdote of a pipe factory worker to show autonomy matters equally in blue-collar manufacturing.
Sector-Agnostic Weighting and Remote Work Intrinsic Motivation 5510 Ted asks whether the index normalizes across S&P sectors. Dan explains why their strategy is intentionally sector-agnostic and explains why remote work elevates the need for intrinsic motivation.
Pure Index Construction, Equal Weighting, and Custom Constraints 4500 Ted asks how the index is constructed mechanically. Dan outlines the pure top-quintile equal-weighted index, quarterly rebalancing, and its estimated 18-month data half-life.
Handling Mergers, Corporate Upheaval, and J.P. Morgan Validation 5400 Ted inquires about corporate structural disruptions like M&A. Dan discusses their systematic algorithmic exclusions and cites J.P. Morgan's independent quantitative validation of the human capital factor.
Constructing the Gender Index and Quadrant Outperformance 6510 Ted drills into the gender index methodology and asks whether companies with equal treatment across gender perform differently if overall treatment is positive or negative. Dan elaborates on the four-quadrant distribution.
Irrational Capital Product Distribution and Mission 3400 Ted asks where investors can access these strategies, and Dan reviews Irrational Capital's distribution partnerships across ETFs, SMAs, and mutual funds.
Ask Ariely: Pre-Surgery Anxiety and the Intra-Empathy Gap 4610 Ted prompts Dan about his Wall Street Journal advice column. Dan shares advice given to a surgical patient to illustrate the psychological concept of the intra-empathy gap.
Birthday Reflections and Designing Intentional Travel Post-COVID 4400 Dan reflects on his recent birthday, lessons learned from pandemic travel reductions, and making intentional lifestyle shifts before wrapping up with Ted.

Statements from this episode (27)

Insight
Ariely: Compensation fairness drives performance much more than absolute pay levels
“We found that overall level of compensation doesn't matter so much. Fairness, perception of fairness in compensation matters a lot.”
Dan Ariely May 17, 2021 ▶ 6:34
Insight
Ariely: Directly asking employees beats proxy metrics like sick days
“And when we don't look at what's happening inside people's brains, and we look at other things instead, we're giving up a lot. So for example, think about something like sick days. Sick days is obviously a really good indication of how excited people are about…”
Dan Ariely May 17, 2021 ▶ 10:47
Insight
Ariely: Third-party surveys yield better employee data than internal collection
“When we ask people with these data providers, it is very important that the data is being collected by a third party. You know, if the company is trying to collect the data directly from employees, there's always a risk that people are trying to create some im…”
Dan Ariely May 17, 2021 ▶ 11:30
Insight
Ariely: Disparity in appreciation between management and rank-and-file hurts stock performance
“One of the things we find is that it's not about just the overall level of, let's say, feeling appreciated. So we find that feeling appreciated is a very good signal. But it's not just the overall level of being appreciated. It's the difference between how man…”
Dan Ariely May 17, 2021 ▶ 12:15
Insight
Ariely: Fairness and workplace pay are primarily driven by relativity
“Relative pay is more important. Relative fairness is more important. Fairness is all about relativity.”
Dan Ariely May 17, 2021 ▶ 12:58
Insight
Ariely: Uneven employee complaints signal worse performance than uniform dissatisfaction
“And if you find that people are complaining equally at management and at the level of the employee, this is not as a bad signal as if management is not complaining and employees are complaining much more.”
Dan Ariely May 17, 2021 ▶ 13:18
Insight
Ariely: Companies cannot contract discretionary effort or employee imagination
“Companies can contract on the minimum amount of work you need to do, but nobody can contract on how much energy you're really putting toward work, how imaginative you're trying to be, how much you're reading extra, thinking hard, and so on.”
Dan Ariely May 17, 2021 ▶ 14:19
Assertion Supported
Ariely: The importance of inclusive innovation increased during COVID
“We found one of the things that changed during COVID is what we call inclusive innovation has increased in its importance.”
Dan Ariely May 17, 2021 ▶ 17:04
Assertion Supported
Ariely: The SHE Index systematically underperforms the S&P 500
“Yeah, so it does much worse. Systematically, repeatedly, by big gap.”
Dan Ariely May 17, 2021 ▶ 19:51
Assertion Not checkable as stated
Ariely: Low gender sentiment gap delivers 5% annual alpha over S&P
“When we look at our data, and we ask the question of, what is the gap? We said a lot of things are about relativity. So we said, for each company, let's calculate the gap between how men feel and how women feel. Like, you know, do you feel appreciated? What's …”
Dan Ariely May 17, 2021 ▶ 20:05
Assertion Not checkable as stated
Ariely: Token female leadership appointments make female employees feel worse
“We found that some companies, when they assign women to high positions, The women within these companies feel worse. Why? Because they take it as an indication that the company doesn't really care about them, that they're only doing things to appeal to PR, lik…”
Dan Ariely May 17, 2021 ▶ 22:51
Insight
Ariely: Employees adapt to office perks, but appreciation yields lasting motivation
“If you think about things like better coffee, better tables, better chairs compared to feeling appreciated, There's just no comparison, and the thing that happens there is if you get better coffee, and I'm a big fan of coffee, so I love good coffee, if you get…”
Dan Ariely May 17, 2021 ▶ 23:52
Insight
Ariely: ESG drives profitability primarily through employee motivation
“I think that the real pathway is For ESG, goes through employee motivation. If you think about it, the moment you are doing some version of ESG, presumably your employees are more on board. They feel that the company has better goals, the company is more conne…”
Dan Ariely May 17, 2021 ▶ 25:48
Assertion Supported
Ariely: Treating employees well generates 6% annual alpha
“And we find, if you look at our results, we have, like, six percent a year of alpha of treating your employees well does better.”
Dan Ariely May 17, 2021 ▶ 26:33
Insight
Ariely: HR should operate as an R&D function, not legal compliance
“HR in most company is a procedural process. Legal function. They do the sexual misconduct and the module. They worry about procedural things. I think that HR needs to be an R&D function. They need to continuously try different things and improve how the compan…”
Dan Ariely May 17, 2021 ▶ 28:40
Opinion
Ariely: Activist investors trying to reform corporate culture misunderstand it
“And I think that a lot of investors, a lot of activist investor look at companies where they don't like the culture and they say, let me buy that company and influence the culture. But I don't think they systematically understand the culture.”
Dan Ariely May 17, 2021 ▶ 29:57
Assertion Partly supported
Ariely: High-appreciation firms gained 15% in early COVID versus 5% market average
“The companies in general, if I remember correctly, between March and October, the stock market lost a lot and then gained a lot, and it was about five percent net overall. The companies that I'll tell you now about went up by 15%. That's a big gap, and those c…”
Dan Ariely May 17, 2021 ▶ 31:38
Assertion Partly supported
Ariely: Employee health and financial benefits only boosted performance during COVID-19
“So before COVID, we found that employee benefits didn't make a big difference. Financial benefits, health benefits didn't matter. During COVID, there was actually a positive effect of these benefits, and I think it's because period when people are more worried…”
Dan Ariely May 17, 2021 ▶ 32:50
Prediction Not checkable as stated
Ariely: The positive performance impact of employee benefits will fade post-COVID
“Now, I think that will go away, but it was interesting to see how this timing did change a little bit the mix of what was important.”
Dan Ariely May 17, 2021 ▶ 33:25
Assertion Not publicly verifiable
Ariely: Sector-specific human capital models are no better than universal models
“So we didn't do this research during COVID, but we did, of course, in the pre-COVID data, right, from 2006 and on, and we found no difference. When you do kind of statistical modeling, there's what's called nested models. So you could say, let me create a mode…”
Dan Ariely May 17, 2021 ▶ 35:04
Insight
Ariely: Human motivation factors drive impact across all industries, not just tech
“There are big differences about people care, and we can all imagine how people who care at Google are going to create a bigger impact, but no, people who care, it would manifest everywhere. So the things that we're capturing are Feeling appreciated. Feeling th…”
Dan Ariely May 17, 2021 ▶ 38:16
Insight
Ariely: Remote work dramatically elevates intrinsic over extrinsic motivation
“You put employees at home, All of a sudden, the role of intrinsic motivation versus extrinsic motivation changes dramatically.”
Dan Ariely May 17, 2021 ▶ 41:06
Assertion Not checkable as stated
Ariely: Human capital sentiment data has an 18-month half-life
“So in general, what we find is that this data has a half lifetime of about 18 months.”
Dan Ariely May 17, 2021 ▶ 43:48
Assertion Supported
Ariely: JPMorgan found his human capital data uncorrelated with ESG
“And the team at JP Morgan did a really nice analysis of our data. They were unbelievably thorough. I was deeply impressed by these guys, and it came basically with very good analysis and result, and it's kind of nice to have somebody like a third It's a little…”
Dan Ariely May 17, 2021 ▶ 48:01
Assertion Supported
Ariely: A gender-focused index underperforms a pure human capital index
“The real index was designed to maximize return from the beginning with no other constraint. The gender index was taking the best we had, but limiting it to companies who do well on, on gender. So it does not as well. Maybe we have something like slightly more …”
Dan Ariely May 17, 2021 ▶ 51:19
Assertion Supported
Ariely: Higher National Violence Correlates With More COVID-19 Conspiracy Theories
“There's a new research that shows that looks at 67 countries and show that the more violence there is in the country, the more they have conspiracy theories about COVID 19.”
Dan Ariely May 17, 2021 ▶ 55:06
Insight
Ariely: The intra-empathy gap causes major mistakes in judging motivation
“This question, by the way, is about how difficult it is for us to estimate emotional states of things we don't experience, and it's also connected to our discussion here today, because, you know, when you are setting up a motivation for your employees, you're …”
Dan Ariely May 17, 2021 ▶ 58:19
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