4/ Normalcy collapse is like a big bubble collapsing into smaller ones, which then collapse further. All the way down until individual bubbles collapse. I wrote about normalcy fields inhttps://www.ribbonfarm.com/2012/05/09/welcome-to-the-future-nauseous/ …
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5/ When top-level bubble collapsed in mid-2016, it was theoretical to most people inhabiting institutional realities that offered a secondary normalcy field inside the bigger ones (global, national). But people in institutional "outdoors" (like free agents) felt it instantly
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6/ Then the lower-level bubbles started to collapse. For example, government agencies targeted for "deconstruction" by Trump regime (FBI, CIA, State Department, DOE). Then the "market" which is a First Reality for many powerful people.
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7/ But most businesses outside the main lines of fire in the culture wars have so far managed to preserve their tightest normalcy field. The Weirding is something that is happening in Other Places to Other People. It's a spectator sport for them.
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8/ So one thing I'm thinking a lot about these days is: what happens when the normalcy collapse sequence finally hits the general business environment? How will the surrealism break down? How will "business-as-usual" normalcy fields collapse?
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9/ The business-as-usual normalcy field is actually a set of routine conversation types: org culture, product strategy, market strategy, positioning, revenue planning etc that tend to run on well-worn (and effective) scripts.
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10/ What happens when your customer modeling and market segmentation has to dump (say) the Claritas PRIZM model for post-FB-scandal culture-war battlefield map? How does your marketing change?
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Replying to @vgr
Bad example. That soccer-mom shit looked stupid a long time ago. All of the internet ad industry was premised on it being dumb.
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Replying to @twneslscience
You'd be surprised how much it is still in use outside the SV bubble
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Replying to @vgr
Cavalry swords-style in use? If so, compared to what era in military history?
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No, not ceremonial. It's bread and butter market research, segmentation, personas etc. As opposed to Cambridge Analytica world. More like gasoline cars vs. electric. The EVs get all the attention, but the fleet on the road is still mostly gasoline.
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