Come on, dude. If you're given money to find an objective, then you're going to find the objective. I guess you could refuse and go back to the unemployment line.
I like the fact that you think corporations have an invested interest when they pay scientists, but the government doesn't. Always follow the money.
You aren't simply 'given money to find an objective.' Federally funded grants don't work that way. There are plenty of times you get negative results, then you have to shift the focus of your research. Happens all the time.
I get the distinct impression you've never written a grant application to NIH, NSF, the VA or any other similar agency. You write up the application explaining the background of the problem you wish to investigate, your hypotheses, how you plan to proceed to study the issue, present preliminary findings from pilot studies, work out a 5-year budget (generally they're 5 years, but there are other funding mechanisms that are for different lengths of time), explain the support you have from the institution, colleagues who can be called upon to offer expertise (e.g., biostatisticians, pathologists, etc.), your own (and co-investigators) background in the field, and on an on. Then, if it passes the first hurdle it goes to a study section where groups of experts within the specific field evaluate the grant applications (among many others that are of a similar nature), then choose to score the grant if you're lucky. If they choose not to score it, then you have to start all over. If they do score it, more often than not they'll ask for a reworking of the original grant anyway, and then if you're really really lucky you might be awarded a grant. That grant goes to the institution first where they take about 50% off the top for overhead, and the rest is doled out in specific previously authorized amounts per annum for things like equipment, supplies, salaries, etc.
Currently, roughly 10% of NIH grants are awarded; these are of the ones that actually make it to a study section.
I could go into more detail, but this should probably suffice. Now, I'm not saying there are no scientists who commit fraud by fudging data in order to obtain renewals, but those are few and far between AND most eventually get vetted out when others are unable to replicate their findings. There was a recent case of this at Iowa State of an HIV researcher.