A kind learning environment returns feedback that is quick, accurate and drawn from a complete sample, so experience teaches. A wicked one returns feedback that is delayed, partial, or censored by the learner's own decisions, so experience teaches the wrong lesson and teaches it confidently. The distinction is Robin Hogarth's, and it explains more about judgement than any amount of discussion about talent.
The answer, in one line
One where the feedback a person gets from their own decisions is delayed, incomplete, biased by those decisions, or drawn from a sample their decisions censored.
Definition#
Kind and wicked learning environments: Hogarth's distinction between settings whose feedback structure allows experience to build accurate judgement, and settings whose feedback structure does not. The property belongs to the environment, not to the person in it.
What makes an environment wicked#
Four things, and a setting needs only one of them.
Delay. If the outcome arrives months or years after the decision, the link between the two is hard to hold, and by the time it arrives a dozen other things have happened that could also explain it.
Noise. If good decisions frequently produce bad outcomes and bad decisions frequently produce good ones, then outcomes are a poor teacher even when they arrive promptly. This is the ordinary condition of decisions made under uncertainty.
Censoring. The sharpest of the four. If you only see what happened to the candidates you hired, the deals you took and the strategies you chose, then the sample you learn from was selected by your own judgement. A recruiter who believes they can spot talent will be confirmed by every good hire and will never meet the good people they rejected.
Reactivity. Where your own action changes the outcome, success and failure both become ambiguous. A manager who intervenes in a project that then succeeds cannot tell whether the intervention helped.
Why this matters more than it sounds#
The usual story about expertise is that it comes from hours. Hogarth's account says the hours only pay in settings where the feedback is honest, and that in the other settings the same hours produce something that looks like expertise from outside and from inside: fluency, speed, confidence, a stock of remembered cases. What they do not produce is accuracy, and the person cannot tell the difference from within, because the signal that would tell them is the signal the environment fails to return.
This is the same territory as clinical versus actuarial judgement, where simple rules hold their own against experts. The environments where rules do best are the wicked ones, and that is not a coincidence. The same mechanism is why noise audits tend to surprise the organisations that run them.
What this says about AI and the removal of junior work#
Most of a professional job is wicked. What is generally kind is the small, fast, correctable work at the bottom: the draft that comes back marked, the calculation that is checked, the note that gets rewritten in front of you. Those tasks return feedback quickly, accurately and completely, which is what made them teach anything.
Those are also the tasks being handed over first. The argument at the missing rungs is usually put in terms of how many junior roles exist. The feedback account says something narrower and harder to fix: even where the role survives, the part of it that was kind may not. A person can hold a job for a decade, accumulate experience the whole time, and end the decade with the confidence of a decade and the judgement of a year, because nothing they did returned a signal they could learn from.
It also gives a practical test, the fourth question of the use-or-keep test. Before handing a task over, ask what it tells you and how fast. If the answer is nothing much, the case for keeping it is weaker than instinct suggests. If the answer is quickly and honestly, that is a rare asset and worth defending.
What can be done about a wicked environment#
The environment can sometimes be made kinder, which is more productive than trying to make the person better at learning from a setting that will not teach.
- Record the reasoning before the outcome. A decision journal defeats hindsight by fixing what you thought in advance.
- Review process rather than result. The evidence on feedback says that being told the answer was wrong does little, and seeing how you weighted the available information does more. That is the finding behind the after action review.
- Score things that resolve. Calibration training works because it uses questions with dates and answers. Even a few of those inside a wicked job create a kind corner of it.
- Look at the censored sample. Follow some of the candidates you rejected and the deals you turned down, at least occasionally.
What this does not establish#
The distinction is a lens rather than a measurement. No instrument scores an environment for kindness, and most real settings are mixed rather than one or the other. Hogarth's account is theoretical with experimental illustrations, not a body of field trials, and the claim that a given profession sits in the wicked half is usually an argument rather than a finding. Nothing here shows that making an environment kinder improves outcomes at work, only that the mechanism by which experience teaches is the one being described.
Key sources
- Hogarth, R. M., Lejarraga, T. and Soyer, E. (2015). The two settings of kind and wicked learning environments. Current Directions in Psychological Science, 24(5).
- Balzer, W. K., Doherty, M. E. and O'Connor, R. (1989). Effects of cognitive feedback on performance. Psychological Bulletin, 106(3).
Related SuperSkills research#
Essay · SS-2026-319
Hirji, R. (2026). Kind and wicked learning environments. The SuperSkills evidence base, SS-2026-319. https://thesuperskills.com/research/kind-and-wicked-learning-environments. Last reviewed 26 September 2026.
An evidence review by Rahim Hirji, not peer-reviewed research. For a material claim, cite the underlying study as well; every study here carries its own permanent link.
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