When the signal becomes noise
Why good people in good meetings let bad numbers slide
The meeting stars eleven minutes late. It’s not the delay that matters, but the fact that no one remarks on it. Leo sits by the wall, laptop on his lap. On the screen, the first slide of the ‘Q4 Review – Executive Summary’ appears: tidy numbers, smooth charts, a red line that ticks upward at one point but not enough to disturb the picture.
The real number isn’t on this slide. It’s in another file on Leo’s laptop. On the dashboard, it shows as an amber alert;in the supplier contract, a structural problem is taking shape. Same data, different implication. The slippage isn’t a ‘temporary variance’ – it’s the start of a chain reaction affecting three deadlines. The difference between the two files is one of signal strength.
‘Let’s walk through the main points,’ the regional director says, calm. No one in the room seems anxious. Leo knows that after the second slide comes the moment where he could still decide: the ‘Risk Outlook’ section. If he states the full range, the conversation shifts. If he emphasises the upper bound, the chart no longer looks harmless.
The CFO leans forward, tapping his pen. ‘Is this still within tolerance?’ he asks. ‘Only asking,’ he adds, ‘because the board won’t look at this level of detail next week.’
Leo notices the gesture. He doesn’t know if it means anything, but the word ‘tolerance’ and the mention of the board together are enough. The question isn’t really about the upper limit – it’s about whether the number can still fit the picture that needs to be carried forward next week.
‘Based on current information, yes,’ Leo replies. Technically accurate, and sufficient. The CFO nods. The pen goes still. ‘Fine. We’ll run with this, then.’ The presentation moves on, as if nothing had shifted.
Leo doesn’t feel he made a decision. He adjusted. To whatever still wouldn’t change the direction of the conversation in that room. Like when it’s warm and you don’t open the window, waiting for someone else to do it. The number didn’t shrink. It just had less air.
In the days that follow, the number doesn’t improve. The supplier asks for another week. The alternative route proves more expensive. When Leo opens the ‘Raw Assessment’ file again, the upper bound is now twenty-three percent. He doesn’t circulate this version.
In the next iteration of the presentation, the chart line is smoother. The risk is ‘under monitoring’. Status remains amber. The number hasn’t changed; the time spent discussing it has. At the second review, the CFO no longer asks about tolerance. He turns to timing instead, flicking through his calendar, talking about how the slippage might be compensated for in the next quarter. The emphasis is on the future. The present number gets less space.
A narrative gradually takes shape: volatile markets, global challenges. The problem is placed in a wider frame, becoming less personal. Leo increasingly senses what counts as noise in this space: the overly sharp number, the uncertain estimate, the sentence that would open a longer discussion. The system classifies numbers and adjusts the intensity of its responses accordingly.
By the end of the third month, the 18–22 percent range is no longer a topic. The focus has moved to the next quarter. The past appears as ‘lessons learned’. The supplier problem hasn’t gone away – it just receives less attention. Leo sometimes thinks back to that first meeting, to the moment he could have given the number a different weight. He’s not sure the outcome would have differed. But the tone of the conversation would have.
Change doesn’t begin with the data. It begins with how much room the data are given.


