The Safer Way to Fail #
Across organizations, classrooms, and societies, a curious pattern repeats: people often stick with familiar approaches - even when they underperform - rather than risk trying something new.
This isn’t just inertia. It reflects a deeper logic: failure is judged differently depending on how it happens. When you examine how humans assign blame, responsibility, and credit, the preference for “safe failure” starts to make sense.
The Hidden Cost of Choosing Differently #
When someone departs from tradition, they signal intention. And intention changes how outcomes are judged.
Research on the intention–outcome asymmetry effect shows that people assign more responsibility when a deliberate action leads to a negative outcome than when a similar outcome arises without clear intentional deviation (Cushman, 2008; Guglielmo & Malle, 2017).
In practice:
- Trying something new → seen as a deliberate choice
- Failure → seen as personally caused
By contrast:
- Following tradition → seen as default behavior
- Failure → seen as situational or systemic
The outcome may be identical. The judgment is not.
Why Failure Gets More Attention Than Success #
Human evaluation is not symmetrical. Research on blame–praise asymmetry shows that negative outcomes are processed more intensely than positive ones.
Studies find that:
- Blame is assigned more readily and with greater precision than praise
- Negative outcomes trigger deeper causal reasoning (Alicke, 2000; Pizarro et al., 2003)
This creates a skewed incentive:
- Success from innovation → modest recognition
- Failure from innovation → amplified scrutiny
So even if innovation has higher upside, it also carries disproportionately visible downside risk.
Control, Choice, and Moral Judgment #
Work by David A. Pizarro and colleagues demonstrates that moral judgments hinge on perceived control. The more control an individual is believed to have, the more responsibility they are assigned (Pizarro et al., 2003).
This leads to a simple but powerful dynamic:
- Innovation = high perceived control → more blame if it fails
- Tradition = low perceived deviation → less personal accountability
Choosing differently increases not just risk - but ownership of the outcome.
Why Systems Feel Safer Than Individuals #
Another key factor is how responsibility is distributed.
The concept of diffusion of responsibility shows that when many actors are involved, responsibility becomes diluted (Darley & Latané, 1968).
Applied here:
- Tradition → responsibility is diffused across time, norms, and institutions
- Novelty → responsibility is concentrated on the decision-maker
This makes a crucial difference:
Shared failure is easier to absorb than personal failure.
The Role of Loss Aversion #
From Prospect Theory, developed by Daniel Kahneman and Amos Tversky, we know that losses feel more significant than equivalent gains (Kahneman & Tversky, 1979).
In this context:
- The potential reputational loss from failed innovation looms large
- The potential gains from success feel comparatively muted
Sticking to tradition reframes failure as:
- “Unfortunate but expected” rather than
- “A consequence of a risky personal decision”
Putting It Together #
These forces combine into a consistent behavioral pattern:
- Deliberate actions attract more blame when they fail
- Negative outcomes are judged more intensely than positive ones are rewarded
- Innovation concentrates responsibility on individuals
- Tradition diffuses responsibility across systems
- Loss aversion amplifies the perceived downside of experimentation
Together, they produce a powerful equilibrium:
People don’t just avoid failure - they avoid owning failure.
Why This Matters #
If innovation is systematically discouraged - not by logic, but by how we assign blame - then progress becomes fragile.
Encouraging experimentation isn’t just about incentives or resources. It requires reshaping how failure is interpreted:
- from personal fault
- to informational outcome
Until then, tradition will continue to offer something innovation cannot:
A safer way to fail.
References #
- Alicke, M. D. (2000). Culpable control and the psychology of blame. Psychological Bulletin, 126(4), 556–574.
- Cushman, F. (2008). Crime and punishment: Distinguishing the roles of causal and intentional analyses in moral judgment. Cognition, 108(2), 353–380.
- Darley, J. M., & Latané, B. (1968). Bystander intervention in emergencies: Diffusion of responsibility. Journal of Personality and Social Psychology, 8(4), 377–383.
- Guglielmo, S., & Malle, B. F. (2017). Information-acquisition processes in intention attribution. Journal of Experimental Social Psychology, 69, 11–27.
- Kahneman, D., & Tversky, A. (1979). Prospect theory: An analysis of decision under risk. Econometrica, 47(2), 263–291.
- Pizarro, D. A., Uhlmann, E., & Salovey, P. (2003). Asymmetry in judgments of moral blame and praise. Psychological Science, 14(3), 267–272.