Should risk matrices simply be abandoned because of their baked-in flaws?

Are risk matrices better than nothing? Should we use them because we don’t have a better alternative?

Or, can matrices result in assessments **worse than random chance**, reward arbitrary calculations, and reinforce human perceptual filters and risk blindness?

Are many of the issues of matrices baked into their design, rather than resulting from the users?

Are the risks too great and should matrices simply be abandoned? Here’s 13 articles which discuss these questions.

1. https://lnkd.in/gfUQwFgT

2. https://lnkd.in/grBMujsd

3. https://lnkd.in/gFmC9zmm

4. https://lnkd.in/g8F2Cf_R

5. https://lnkd.in/gyvNhWJy

6. https://lnkd.in/gNVDEcD5

7. https://lnkd.in/gJQtjUHN

8. https://lnkd.in/gCG4cKdX

9. https://lnkd.in/ghPngGyV

10. https://lnkd.in/gNr7V5hH

11. https://lnkd.in/gDiSmAEZ

12. https://lnkd.in/gJGguiwq

13. https://lnkd.in/g4yXiTQu

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LinkedIn post: https://www.linkedin.com/posts/benhutchinson2_are-risk-matrices-better-than-nothing-should-activity-7344492800488456192-AFJN?utm_source=share&utm_medium=member_desktop&rcm=ACoAAAeWwekBvsvDLB8o-zfeeLOQ66VbGXbOpJU

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