The two generals problem

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The Two Generals Problem is a fun thought experiment highlighting the challenges of communicating over an unreliable channel. Your message may or may not get through, and how will you know if it didn't?

The situation is that two armies on either side of a hostile valley are trying to coordinate an attack, and they want to attack simultaneously to be sure to succeed. The trouble is, to coordinate, they have to send brave messengers through the hostile valley to the other camp, and the messengers may or may not be captured along the way.

To coordinate the attack, you have to know that your message got through, which you’d know if you received a confirmation. But how would the general sending the confirmation know that their confirmation got through unless they received a confirmation of the confirmation? And on…

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Published 14 Dec 2019

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The Fundamental Attribution Error

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Confirmation bias

The fundamental attribution error is the attribution of the source of behaviour to the character and personality of a person above the consideration of context. It's sometimes described as over-attributing causes to disposition over situation. In a classic example, if a driver swerves in front of you suddenly, it's easy to attribute the cause of the behaviour to the driver being a jerk, i.e. to their character. What we may not see is that the driver is late to pick up their kids, was distracted by a challenging conversation they just had at work, and they're worried they've gone the wrong way and are driving an unfamiliar car. If a colleague is late to meet us, we might infer that the person is lazy or disrespectful when, in fact, they may have been held up by a traffic accident, been on the phone with a sick relative, and have had trouble sleeping lately. If we are late for a meeting, well, then it's probably for all sorts of good reasons outside our control. Like confirmation bias, the fundamental attribution error is a big one that can easily colour our interactions with others without us being aware of it. Some ways to minimise it include: Remember that what we see is just a tiny fraction of any other person's life and that we don't see the complete picture. Minimise judgment, particularly around character and personality. Avoid jumping to conclusions. Where appropriate, ask if anything is bothering others. Build empathy for others as you would for yourself. Reflect on the positive things others do. Also see: Self-serving bias Attribution bias Confirmation bias Hanlon's Razor Muphry's Law…The fundamental attribution error is the attribution of the source of behaviour to the character and personality of a person above the consideration of context. It's sometimes described as over-attributing causes to disposition over situation. In a classic example, if a driver swerves in front of you suddenly, it's easy to attribute the cause of the behaviour to the driver being a jerk, i.e. to their character. What we may not see is that the driver is late to pick up their kids, was distracted by a challenging conversation they just had at work, and they're worried they've gone the wrong way and are driving an unfamiliar car. If a colleague is late to meet us, we might infer that the person is lazy or disrespectful when, in fact, they may have been held up by a traffic accident, been on the phone with a sick relative, and have had trouble sleeping lately. If we are late for a meeting, well, then it's probably for all sorts of good reasons outside our control. Like confirmation bias, the fundamental attribution error is a big one that can easily colour our interactions with others without us being aware of it. Some ways to minimise it include: Remember that what we see is just a tiny fraction of any other person's life and that we don't see the complete picture. Minimise judgment, particularly around character and personality. Avoid jumping to conclusions. Where appropriate, ask if anything is bothering others. Build empathy for others as you would for yourself. Reflect on the positive things others do. Also see: Self-serving bias Attribution bias Confirmation bias Hanlon's Razor Muphry's Law

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