Empathy indeed helps you see from the perspective of others and helps build stronger relationships
And all leaders need an element of this...
What if too much empathy leads to bad decisions?
Is being too empathic holding you back as a leader?
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Empathy indeed helps you see from the perspective of others and helps build stronger relationships
And all leaders need an element of this...
Some psychologists estimate that one in five business leaders have such low empathy they can be considered psychopaths
We have all worked for one or at least worked in an organization that sees you as employee #2658, not an individual
All numbers
No heart...
You are like the vast majority of leaders
You have a big heart, and you want to do the right thing
But let's look at a typical example...
They've been with you years, your team loves them, and you can't imagine work without them
However, they're failing with the new demands of their role
People are starting to notice, some complaining to you
Results are being effected...
Well, the psychopath would have most likely already fired them years ago
But that is not you
You are empathic; you were trained to be so
You are now stalling, using your empathy because you like them...
Empathy's significant weakness is that it can lead you to make terrible decisions
Here are three reasons for that...
If you have known someone for years, know them socially, or they could even be family members, you are more likely to have higher levels of empathy and forgiveness for bad performance
You're more likely to empathize with people who are like you. That's why we're more empathetic to our group's concerns than the concerns of other departments or organizations
You can't always trust your feelings to look out for the organizations best interests at large
Because you don't want the hassle of hiring and firing and making people sad, you put off making a decision
Maybe I should be more of a psychopath
Woah, that did not take much of a push, did it?
But slow down there, Darth Vader
There is another way
And that is by using rational compassion...
Making decisions based on sound reason while showing compassion to those who are negatively affected
Are compassion and empathy the same thing
No...
It does mean that you care and are trying to understand them
As a leader, you need to be compassionate while preserving an emotional boundary...
You know it is not working out, and decisions need to made to change the
situation
You should do the right thing for the team and the organization while showing compassion and care for the individual...
More from Society
global health policy in 2020 has centered around NPI's (non-pharmaceutical interventions) like distancing, masks, school closures
these have been sold as a way to stop infection as though this were science.
this was never true and that fact was known and knowable.
let's look.
above is the plot of social restriction and NPI vs total death per million. there is 0 R2. this means that the variables play no role in explaining one another.
we can see this same relationship between NPI and all cause deaths.
this is devastating to the case for NPI.
clearly, correlation is not proof of causality, but a total lack of correlation IS proof that there was no material causality.
barring massive and implausible coincidence, it's essentially impossible to cause something and not correlate to it, especially 51 times.
this would seem to pose some very serious questions for those claiming that lockdowns work, those basing policy upon them, and those claiming this is the side of science.
there is no science here nor any data. this is the febrile imaginings of discredited modelers.
this has been clear and obvious from all over the world since the beginning and had been proven so clearly by may that it's hard to imagine anyone who is actually conversant with the data still believing in these responses.
everyone got the same R
these have been sold as a way to stop infection as though this were science.
this was never true and that fact was known and knowable.
let's look.
above is the plot of social restriction and NPI vs total death per million. there is 0 R2. this means that the variables play no role in explaining one another.
we can see this same relationship between NPI and all cause deaths.
this is devastating to the case for NPI.
clearly, correlation is not proof of causality, but a total lack of correlation IS proof that there was no material causality.
barring massive and implausible coincidence, it's essentially impossible to cause something and not correlate to it, especially 51 times.
this would seem to pose some very serious questions for those claiming that lockdowns work, those basing policy upon them, and those claiming this is the side of science.
there is no science here nor any data. this is the febrile imaginings of discredited modelers.
this has been clear and obvious from all over the world since the beginning and had been proven so clearly by may that it's hard to imagine anyone who is actually conversant with the data still believing in these responses.
everyone got the same R
this methodology is a little complex, so let me explain what i did.
— el gato malo (@boriquagato) May 30, 2020
a few EU countries provide real day of death data. this lets us plot meaningful curves to show rate of disease change.
what struck me is how similar all the curves were.
everyone got the same shape. pic.twitter.com/bN0hILzoSl
