Types of phishing

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Phishing is tricking people into sharing personal details and logins by pretending to be someone else, and it's surprisingly effective. Some of the smartest people I know have been taken in by it and it only takes a moment’s lapse in concentration or uncertainty to fall for it. The maths is simple: it barely costs anything to send an email to 100,000s of people and it only needs a few people to get caught in the net for it to pay off.

Also, look out for targeted spear-phishing attacks where scammers may seem to know specific details about yourself to make the attack more credible. Or what’s known as whaling — the targeting of high-profile figures such has heads of companies or celebrities with elaborately planned and sometimes very convincing schemes.

Stay vigilant people.

You can also check if you’ve been caught in a data breach at: Have I been Pwned .

I updated this image for my book Big Ideas Little Pictures

Also see:

2-factor authentication

Published 23 Feb 2020

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The Availability Heuristic illustration: Plane crashes, cold snaps, and winning lottery tickets are shown as examples of uncommon but widely reported events that might affect the significance we associate with them.

The availability heuristic (and bias)

Hanlon's Razor

Fitts’ Law

The two generals problem

Dracula sneeze

Goodhart's law illustration showing a manager frustrated by 1000's of tiny nails when measuring on number of nails made, and pulling their hair out when presented with giant nails when measuring on weight

Goodhart’s Law: when a measure becomes a target, it ceases to be a good measure.

The availability heuristic is a deceptively simple, almost too simple to notice, heuristic where we consider the likelihood of events by the ease with which relevant instances come to mind. In simple terms, things that we can easily recall or where we can think of examples, we generally consider as more important or more common than other things. A heuristic is a mental shortcut to solve a common problem. If we were asked to consider the divorce rate in the community, we might evaluate that by considering how many of our acquaintances are divorced. If none of your friends are divorced, you’re naturally less likely to think the divorce rate locally will be high. In many situations, it makes good sense to give credence to what you remember easily. However, in situations involving probabilities, in particular, the heuristic will lead us predictably astray such that more often I think of it as an availability bias — a predictable pattern of thought and behaviour leading to incorrect conclusions. So, the vividness of shark attacks causes us to overrate how likely they are to actually occur. Or we’re more likely to worry about lions than hippos, even though hippos kill more people each year than lions. Or the risk of being struck by lightning vs stuck by a car crossing a road. Or, the prevalence of violent crime on the news compared to the likelihood of you being a victim. Or the fact that it’s cold outside and yet the planet is gradually warming. Here’s a 1973 Kahneman and Tversky paper: Availability: A Heuristic for Judging Frequency and Probability…The availability heuristic is a deceptively simple, almost too simple to notice, heuristic where we consider the likelihood of events by the ease with which relevant instances come to mind. In simple terms, things that we can easily recall or where we can think of examples, we generally consider as more important or more common than other things. A heuristic is a mental shortcut to solve a common problem. If we were asked to consider the divorce rate in the community, we might evaluate that by considering how many of our acquaintances are divorced. If none of your friends are divorced, you’re naturally less likely to think the divorce rate locally will be high. In many situations, it makes good sense to give credence to what you remember easily. However, in situations involving probabilities, in particular, the heuristic will lead us predictably astray such that more often I think of it as an availability bias — a predictable pattern of thought and behaviour leading to incorrect conclusions. So, the vividness of shark attacks causes us to overrate how likely they are to actually occur. Or we’re more likely to worry about lions than hippos, even though hippos kill more people each year than lions. Or the risk of being struck by lightning vs stuck by a car crossing a road. Or, the prevalence of violent crime on the news compared to the likelihood of you being a victim. Or the fact that it’s cold outside and yet the planet is gradually warming. Here’s a 1973 Kahneman and Tversky paper: Availability: A Heuristic for Judging Frequency and Probability

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