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The ‘New View’ on
Human Error
Dan Barker
Old View
Count absence of negatives
Retributive just culture
Blame the individual
Fix the individual
Old View
Count absence of negatives
Retributive just culture
Blame the individual
Fix the individual
New View
Count capacity for positive action
Restorative just culture
Blame the system
Fix the system
New View
Count capacity for positive action
Restorative just culture
Blame the system
Fix the system
Incident Benefits?
Old belief
Lower number of incidents = Lower number of fatalities
Reality
Lower number of incidents = Higher number of fatalities
Comparison to CD
The underlying principles are similar to those which provide benefits in Continuous
Deployment
The more frequently you do something, the lower the risk
Fail small
Failure builds up in a system in the form of risk
Comparison to CD
The underlying principles are similar to those which provide benefits in Continuous
Deployment
The more frequently you do something, the lower the risk
Fail small
Failure builds up in a system in the form of risk
Other reasons
Discourage reporting through retribution
Discourage reporting as the culture values no incidents
Failure to learn from failures
Failure to learn from near misses
Other reasons
Discourage reporting through retribution
Discourage reporting as the culture values no incidents
Failure to learn from failures
Failure to learn from near misses
System focus
Find faults in the system and fix them
Put controls around critical paths and not just policies
A policy means nothing if it isn’t controlled and audited
Assume fault lies within the system first
The goal is restoration
Heal the system
Heal the victims
Heal the second victims
The goal is restoration
Heal the system
Heal the victims
Heal the second victims
Punishment
Malicious intent
Purposeful illegal activity
Examples:
Transferring client data to unsecured areas
Committing fraud
Scenario
Network Engineer
Business Unit VP
Critical change needed for application (Yells the VP to the engineer)
Change Freeze
Change made without Change Advisory Board approval
Change causes outage
Scenario
Network Engineer
Business Unit VP
Critical change needed for application (Yells the VP to the engineer)
Change Freeze
Change made without Change Advisory Board approval
Consequences
Outage caused to multiple applications
Revenue losses
Reputation losses
Network Engineer fired
Tertiary Consequences
Low-trust culture
VP continues pressuring engineers to do the wrong thing
System never fixed to prevent rogue changes
Incidents covered up in the future
Opportunity to learn from failure removed
What would you do?
Tell me here:
https://medium.com/@barkerd427/new-view-conundrum-cd2b3a5e3f0e
Resources
http://sidneydekker.com/
http://sidneydekker.com/just-culture/
http://sidneydekker.com/courses/
https://itunes.apple.com/us/podcast/preaccident-investigation/id962990192?mt=2
http://www.kitchensoap.com/

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The ‘new view’ on human error