Self-Motivation
David Goggins
Former Navy Seal
Career Development
Bryan Cranston
Actor
Critical Thinking
Liv Boeree
International Poker Champion
Emotional Intelligence
Amaryllis Fox
Former CIA Clandestine Operative
Management
Chris Hadfield
Retired Canadian Astronaut & Author
Learn
from the world's big
thinkers
Start Learning

Zones of genius: How to choose the best business partner for you

Social entrepreneur Miki Agrawal explains what makes a perfect business partner.

Miki Agrawal: So when you’re looking at bringing partners on, whether it’s investment partners, whether it’s business partners, like cofounder perspective, those kinds of things—Number one, it needs to be the same values. Do you both care about similar things in the world? So values need to align.

And then from a skill set perspective, you need to be opposites. Oftentimes best friends are like, “We want to start a business together!” That’s like the fastest way to not becoming best friends again. Being opposites is so important. I’m great at design. I’m great with the vision. I’m great at sort of the strategy. I’m really great at the aesthetic. I’m really great at the brand.

My partner needs to be great at operations, manufacturing, warehousing, legal, finance, all of that stuff that I don’t love. Can I do it? A little, but I prefer not to. I’d rather stay in my zone of genius and have someone really, really take on their zone of genius, and be in mutual awe of one another. Like I really believe that there is that yin and yang that does exist.

Like if I have yang energy someone needs to have yin energy to be a real perfect partner.

I think to have the right partner energetically you need to be a match and skill set wise you need to be a match. So yin yang like energetically and then yin yang from a skill set perspective.

We often like, we’re like: “Both of us are super hyper!” Even if you have other like skill sets than I do, that hyper-hyper-hyper might not work.

And if it’s hype-calm, like the calm counterpart calms me down. My hyperactiveness makes them more excited. So that energetically works.

When from a skillset perspective, “I’m great at this, he or she is great at this,” we’re in mutual awe of each other both energetically and from a skill set perspective. That is the perfect partner.

So I sit on the board of Conscious Capitalism and I think Conscious Capitalism is really based on a stakeholder model. Like every single person has to win, and I think in the past I was a little bit sloppy in a stakeholder model in that we scaled so quickly, “just put butts in seats fast.” I didn’t really think about a lot of things as you’re scaling, which happens to most entrepreneurs, and I think now it really is with Tushy I’m really, really deliberate about the type of people I bring onto the team: really checking their background to see if they really fit.

Before anyone gets hired they have to meet the whole team and the team has to give me their feedback on what they think about this person, if they jive well. It really is culture. Culture trumps strategy every day of the week and twice on Sunday.

And in the past I certainly was a lot more sort of lax. “Oh, you have a pulse? Come join, we’re busy. We’ve got to grow.”

And now, “What’s your background? Let me look at your social media,” and if it’s all selfies you know that’s scary! That’s not a great person to have on your team if it’s like selfie from every angle, which means that they might not be a great team player. And so and then calling references, doing background checks. It’s so important to do that and I just didn’t, and I think to really create that culture, to really scale a business requires doing that real work.

And with Tushy I’m so, so deliberate. My new CEO role, I’ve interviewed 50 people for this role to really be that yin to my yang and that opposite to my skill set. And in the past I would have been like “Okay people, let’s go.” And now it’s “50 people? Call all ten references of every one of them,” and really had them meet all the team to make sure that they liked the person. It’s really, really important to do that culture fit test which I didn’t do in the past.

Social entrepreneur Miki Agrawal explains what makes a perfect business partner. It's not usually your best friend. In fact, it may be best to get a partner who is the opposite of you. Miki also shares how she achieves hiring "yin yang" in her own companies.

Does conscious AI deserve rights?

If machines develop consciousness, or if we manage to give it to them, the human-robot dynamic will forever be different.

Videos
  • Does AI—and, more specifically, conscious AI—deserve moral rights? In this thought exploration, evolutionary biologist Richard Dawkins, ethics and tech professor Joanna Bryson, philosopher and cognitive scientist Susan Schneider, physicist Max Tegmark, philosopher Peter Singer, and bioethicist Glenn Cohen all weigh in on the question of AI rights.
  • Given the grave tragedy of slavery throughout human history, philosophers and technologists must answer this question ahead of technological development to avoid humanity creating a slave class of conscious beings.
  • One potential safeguard against that? Regulation. Once we define the context in which AI requires rights, the simplest solution may be to not build that thing.

A new hydrogel might be strong enough for knee replacements

Duke University researchers might have solved a half-century old problem.

Photo by Alexander Hassenstein/Getty Images
Technology & Innovation
  • Duke University researchers created a hydrogel that appears to be as strong and flexible as human cartilage.
  • The blend of three polymers provides enough flexibility and durability to mimic the knee.
  • The next step is to test this hydrogel in sheep; human use can take at least three years.
Keep reading Show less

Hints of the 4th dimension have been detected by physicists

What would it be like to experience the 4th dimension?

Two different experiments show hints of a 4th spatial dimension. Credit: Zilberberg Group / ETH Zürich
Technology & Innovation

Physicists have understood at least theoretically, that there may be higher dimensions, besides our normal three. The first clue came in 1905 when Einstein developed his theory of special relativity. Of course, by dimensions we’re talking about length, width, and height. Generally speaking, when we talk about a fourth dimension, it’s considered space-time. But here, physicists mean a spatial dimension beyond the normal three, not a parallel universe, as such dimensions are mistaken for in popular sci-fi shows.

Keep reading Show less

Predicting PTSD symptoms becomes possible with a new test

An algorithm may allow doctors to assess PTSD candidates for early intervention after traumatic ER visits.

Image source: camillo jimenez/Unsplash
Technology & Innovation
  • 10-15% of people visiting emergency rooms eventually develop symptoms of long-lasting PTSD.
  • Early treatment is available but there's been no way to tell who needs it.
  • Using clinical data already being collected, machine learning can identify who's at risk.

The psychological scars a traumatic experience can leave behind may have a more profound effect on a person than the original traumatic experience. Long after an acute emergency is resolved, victims of post-traumatic stress disorder (PTSD) continue to suffer its consequences.

In the U.S. some 30 million patients are annually treated in emergency departments (EDs) for a range of traumatic injuries. Add to that urgent admissions to the ED with the onset of COVID-19 symptoms. Health experts predict that some 10 percent to 15 percent of these people will develop long-lasting PTSD within a year of the initial incident. While there are interventions that can help individuals avoid PTSD, there's been no reliable way to identify those most likely to need it.

That may now have changed. A multi-disciplinary team of researchers has developed a method for predicting who is most likely to develop PTSD after a traumatic emergency-room experience. Their study is published in the journal Nature Medicine.

70 data points and machine learning

nurse wrapping patient's arm

Image source: Creators Collective/Unsplash

Study lead author Katharina Schultebraucks of Columbia University's Department Vagelos College of Physicians and Surgeons says:

"For many trauma patients, the ED visit is often their sole contact with the health care system. The time immediately after a traumatic injury is a critical window for identifying people at risk for PTSD and arranging appropriate follow-up treatment. The earlier we can treat those at risk, the better the likely outcomes."

The new PTSD test uses machine learning and 70 clinical data points plus a clinical stress-level assessment to develop a PTSD score for an individual that identifies their risk of acquiring the condition.

Among the 70 data points are stress hormone levels, inflammatory signals, high blood pressure, and an anxiety-level assessment. Says Schultebraucks, "We selected measures that are routinely collected in the ED and logged in the electronic medical record, plus answers to a few short questions about the psychological stress response. The idea was to create a tool that would be universally available and would add little burden to ED personnel."

Researchers used data from adult trauma survivors in Atlanta, Georgia (377 individuals) and New York City (221 individuals) to test their system.

Of this cohort, 90 percent of those predicted to be at high risk developed long-lasting PTSD symptoms within a year of the initial traumatic event — just 5 percent of people who never developed PTSD symptoms had been erroneously identified as being at risk.

On the other side of the coin, 29 percent of individuals were 'false negatives," tagged by the algorithm as not being at risk of PTSD, but then developing symptoms.

Going forward

person leaning their head on another's shoulder

Image source: Külli Kittus/Unsplash

Schultebraucks looks forward to more testing as the researchers continue to refine their algorithm and to instill confidence in the approach among ED clinicians: "Because previous models for predicting PTSD risk have not been validated in independent samples like our model, they haven't been adopted in clinical practice." She expects that, "Testing and validation of our model in larger samples will be necessary for the algorithm to be ready-to-use in the general population."

"Currently only 7% of level-1 trauma centers routinely screen for PTSD," notes Schultebraucks. "We hope that the algorithm will provide ED clinicians with a rapid, automatic readout that they could use for discharge planning and the prevention of PTSD." She envisions the algorithm being implemented in the future as a feature of electronic medical records.

The researchers also plan to test their algorithm at predicting PTSD in people whose traumatic experiences come in the form of health events such as heart attacks and strokes, as opposed to visits to the emergency department.

Quantcast