Tag: prediction

decision making, uncertainty

Challenging Cassandra – The two risks of predictions in uncertainty

We live in a time of great uncertainty, where many predictions and strongly held beliefs have been brutally disproved by the facts, especially in the last three years. And yet, we continue to make predictions. This seems rational: we want to protect ourselves against bad surprises and prepare for the worst. But this preparation comes at a significant cost.

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innovation, Management, uncertainty

In uncertainty, what can you control?

Uncertainty is anxiety-provoking in many ways, and often with good reason. Defined as the absence of information about a given phenomenon, it often means that we don’t know what to expect, leaving the door open to unpleasant surprises – loss of job, illness, accident, war, etc. – and leaving us helpless. Because the main fear linked to uncertainty is that of loss of control, where we can no longer foresee or plan. But this fear is based on a belief that only prediction allows control. This is not necessarily the case, and the two notions can be dissociated, with important consequences for management.

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Strategic surprise, uncertainty

Covid-19: Four Rules for the Decision-Maker to Work with Experts in the Face of an Unprecedented Event

[Version française disponible ici]

The situation has become familiar with the covid-19 epidemics, and in particular with the controversy over the use of chloroquine: everyone has an opinion and groups are being formed in favor or against it. Yet regularly, people are being called to order by others who demand that only experts should be allowed to talk on issues relating to the management of the epidemy. The message seems to have been heard: for the past three weeks, doctors have been massively present on television sets. The country has become a large proxy medical consultation room. But the question remains: faced with a complex and unprecedented situation such as the coronavirus, who has the right to speak out? To what extent can experts be trusted? More importantly, how can the decision-maker work with them?

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