This. It is often the scope and context that determines logic. It is easy to build bubbles and stay comfy inside. Without revealing much, I asked a data scientist whose job it is to figure out bids on keywords and essentially control how much $ is spent on advertising something at a specific region about negative criteria. As in, are you sure you wouldn’t get this benefit even if you stopped spending the $ and his response was “look at all this evidence that our spend caused this x% increase in traffic and y% more conversions” and that was 2 years ago. My follow up question was - okay, now that the thing you advertised is popular, wouldn’t it be the more organic choice in the market, and we can stop spending the $ there? His answer was - look at what happened when we stopped the advertising in this small region in Germany 1.5 years ago! My common sense validation question still stands. I still believe he built a shiny good bubble 2 years ago, and refuses to reason with wider context, and second degree effects.