You Need More Bad Ideas

We talk about ideas as though they are either good or bad — binary things that you either have or you do not. But most valuable ideas are not born good. They start as something slightly wrong that gets refined into something useful.

The enemy of this process is not having bad ideas. It is not having enough ideas. When you only generate one or two options, you become emotionally attached to them because they are all you have. You defend them past the point where they deserve defending.

Linus Pauling, the Nobel-winning chemist, is supposed to have said that the best way to have a good idea is to have lots of ideas and throw away the bad ones. The insight is not about quality filtering — it is about volume. You need a large enough pool to be able to afford to throw most of it away.

This is counterintuitive in professional settings where we are rewarded for being right and penalised for being wrong. The culture of most organisations selects against volume thinking. You are expected to arrive with your one considered recommendation, not with ten half-formed possibilities that you are still sorting through.

The irony is that the person who arrived with ten ideas and discarded nine of them probably has a better recommendation than the person who had one idea and polished it. The polishing is not the hard part. The generation is.

IdeaSpace exists partly for this reason — to be a place where ideas get written down before they get filtered. Some of them will be wrong. That is the point.

Why Volume Beats Perfection

The mathematics of idea generation is straightforward and widely ignored. If you produce one idea and it is wrong, you have nothing. If you produce twenty ideas and nineteen are wrong, you have one that might be right. The person with twenty ideas is not twenty times more creative. They are simply less afraid of being wrong, and that fear is the main thing holding most people back.

Professional environments punish wrongness. A bad idea in a meeting gets remembered. A bad recommendation in a report gets cited. The cost of being wrong is visible and personal. The cost of not having enough ideas is invisible and organisational. So people optimise for the visible cost. They produce fewer ideas, polish them more, and defend them longer than they deserve. The organisation gets safer ideas and fewer breakthroughs.

Creating a Culture of Abundance

The teams that generate the best ideas are not the teams with the smartest people. They are the teams where ideas are cheap to produce. Where a half-formed thought can be thrown into the room without being judged. Where the first response to an idea is not criticism but curiosity. This is not about being nice. It is about being efficient. If every idea has to survive a gauntlet before it is fully expressed, most ideas never get expressed at all, and the ones that do are safe ones.

The practical trick is to separate generation from evaluation. Generate first, evaluate later. A brainstorming session that critiques every suggestion as it arrives is not brainstorming. It is a filtering session that happens to be generating at the same time, and the filtering will always win because it is easier. The same dynamic affects how smart teams make slow decisions — the ability to see problems before they arise is valuable, but it becomes a liability when it shuts down exploration too early.

The Editing Problem

Having lots of bad ideas is only half the equation. The other half is being honest about which ones are bad. The person who generates twenty ideas and keeps fifteen because they are attached to all of them has the same problem as the person who generates one — they are not filtering. The skill is to generate without attachment and then evaluate without sentimentality.

This is harder than it sounds because ideas feel like extensions of the self. Criticising an idea feels like criticising the person. The teams that do this well have a shared understanding that ideas are raw material, not identity. A bad idea is not a reflection on the person who offered it. It is data. It tells you something about the space you are exploring. Even the bad ones narrow the search. The Jevons Paradox applies here too — the more ideas you generate, the more you can afford to discard, and the better your final selection becomes.

The next time you are stuck on a problem, try generating ten possible solutions without judging any of them. Write them down. Let them be bad. Let some of them be obviously wrong. Then, only after you have all ten, start evaluating. You will almost certainly find that the eighth or ninth idea, the one that would never have survived a first-pass filter, contains the seed of something useful. The bad ideas were not the enemy. The filter was too early.