madness said:
This is just further evidence that we need a middle ground for inductive reasoning in science.
Zomgwtf has it right. Science is about modelling - formal statements that make predictions that can be measured. And those formal statements are developed first by abduction (a smart guess), then refined via the dual and mutual process of induction~deduction.
Induction is the move from particulars to generals - from observations of specific or local instances to the generalisation of universal "truths". And deduction is about going the other way, from the assumption of some global or universal truth to a prediction about what we are likely to find at a specific location.
This is how minds themselves work. Our perceptions of the world are formed by the interaction of ideas and impressions. Generals and particulars. If I see a cat, I am both aware of its general cat-ness (and would be surprised if it barked or squeaked) and also its specific cat features, whether it is a black cat, a skinny cat, etc.
As children, many individual experiences of cats (and other animals) builds up (induces) a crisp idea of cat-ness. Then this context, this generalisation, is the framework for perceptual deduction - I am probably seeing a cat because of this arrangement of light and shade (whoops, it was just a quirky shadow on a twilight wall).
The middle ground for induction~deduction is the zone of productive interaction. It is where the top-down and the bottom-up actions are mixing in a fruitful, adaptive, fashion. The more cats (and non-cats) I see, the more I fine-tune by knowledge (internal model) of cats.
Science too depends on the exact same fruitful balance. The more detailed instances we can observe, the more extensively we can generalise.
Of course, you are talking about how far can we safely go when we are trying to get beyond the easily measurable.
This would be like saying, well, we have a pretty good mental model of cats. But what about "cats" on other planets? What can we say about alien lifeforms?
Here we cannot (yet) make any measurements. We cannot employ the inductive path. We instead have to rely on deduction or generalisation. And actually, when it comes to attempts to imagine alien alternatives, we do a pretty poor job (although perhaps that is just because carbon, water and something like DNA are the only realistic ways to go).
Anyway, science is not "all induction" and so suffers a problem about its demarcation. Science (like all modelling, including neurological) is about the interaction between bottom-up impressions and top-down ideas. Induction and deduction are synergistic partners.
Progress is achieved by moving the two scales of action ever further apart.
In the beginning, when our notions are vague, as in the infant brain, we have to make abductive guesses about the world. The inductions and the deductions, the ideas and the impressions, are all still lumped together at the same scale. Babies will point at a cat and say confidently "doggie". A sort of correct beginner's generalisation.
But once our models become well developed, the generalisations become as broad as our measurements of the world are fine. The bigger our ideas, the smaller the details, the fine discriminations, we must be noticing.
Which is why science depends on refinements in experimental technique. The zone of knowledge is built out of the interaction of ideas and impressions. To increase the size of this zone, we must push out in both directions equally - towards more sweeping theories based on more precise measurements. The two ends must be in active touch with each other to be able to continue to expand.