X : You say your maps are wrong?
Me : They& #39;re all imperfect. No map is ever right.
X : But the models they& #39;re based upon are wrong?
Me : All models are.
X : So, it& #39;s wrong and imperfect. What point do they have?
Me : They seem to be useful for communication and learning.
Me : They& #39;re all imperfect. No map is ever right.
X : But the models they& #39;re based upon are wrong?
Me : All models are.
X : So, it& #39;s wrong and imperfect. What point do they have?
Me : They seem to be useful for communication and learning.
X : But if they& #39;re wrong and imperfect then that communication and learning must be wrong and imperfect.
Me : Yes, but isn& #39;t that always true and why challenging assumptions matters?
X : Why not make a right map?
Me : I don& #39;t know how to. I only know how to make a "better" map.
Me : Yes, but isn& #39;t that always true and why challenging assumptions matters?
X : Why not make a right map?
Me : I don& #39;t know how to. I only know how to make a "better" map.
X : Better than what?
Me : Better than what I had before.
X : Which was?
Me : Nothing. No map.
X : So, it& #39;s wrong and imperfect but slightly better than nothing?
Me : I like that. I might pinch that as the title of a future presentation.
Me : Better than what I had before.
X : Which was?
Me : Nothing. No map.
X : So, it& #39;s wrong and imperfect but slightly better than nothing?
Me : I like that. I might pinch that as the title of a future presentation.