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How Scientists Know An Idea Is a Good One
Physicist Chris Lee explains one of the toughest judgment calls scientists have to make: figuring out if their crazy ideas are worth pursuing. He says:
"Research takes resources. I don't mean money—all right, I do mean money—but it also requires time and people and lab space and support. There is a human and physical infrastructure that I have to make use of. I may be part of a research organization, but I have no automatic right of access to any of this infrastructure. ... This also has implications for scale. A PhD student has the right to expect a project that generates a decent body of work within those four years. A project that is going to take eight years of construction work before it produces any scientific results cannot and should not be built by a PhD student. On the other hand, a project that dries up in two years is equally bad. ... the core idea also needs to be structured so, should certain experiments not work, they still build something that can lead to experiments which do work. Or, if the cool new instrument we want to build can't measure exactly what I intended, there are other things it can measure. One of those other things must be fairly certain of success. To put it bluntly: all paths must lead to results of some form."
That's not a description of a good idea. That's a description of an idea that fits into an arbitrary 4-year timescale that fits with a PhD program's average length.
Just because you're paranoid doesn't mean there isn't an invisible demon about to eat your face
Science as a process is like Natural selection and just as in Natural selection, one may come with the dead end. This is not necessarily bad.
To quote Thomas A. Edison, "If I find 10,000 ways something won't work, I haven't failed. I am not discouraged, because every wrong attempt discarded is another step forward".
A PhD student has the right to expect a project that generates a decent body of work within those four years.
Four years? Ha! That's a good one!
Ancient Persians would debate ideas twice - once sober and once drunk. It had to sound feasible in both states to be a good idea.
It is obvious that you're a mathematician. Your equation is dimensionally wrong.
No, it's correct. Let's do the analysis: $= (time + obtanium) / desire * beer
time is in seconds
obtanium is in seconds (how long to obtain it)
desire is in seconds/liter (the longer you wait, the more you want)
beer is in dollars/liter
so we have (seconds + seconds)/(seconds/liter) * (dollars/liter) = dollars
Q.E.D.
I feel sorry for people that don't drink, because when they get up in the morning, that's as good as they're gonna feel
Good ideas are hard to determine, and sometimes you find out something was actually a really bad idea only after several years like trans fats, or saccharin.
The results of scientific discovery are diminished by classifying them as success/failure. The only 2 classifications should be "A Truth Discovered" or "Pseudo Science".
Any lab experiment which is conducted to seek the truth even if it does not yield a commercially viable result is still a truth discovered. A so-called failed experiment still is a success at discovering a method which does not work to achieve desired results, and discovering what does not work in some cases can be more important then finding out what does and is an actual truth discovered.
Any experiment performed to skew results in a particular direction, or where evidence is tossed that does not agree with your idea's is nothing but pure Pseudo Science. Unfortunately we have so much of this it has made people distrust scientists because they have proven that they are just as opportunistic as normal people and will do just about any dishonest thing for a buck! True Science be damned!
But that is theory. In practice, having some realistic goals based on available resources of money and time is common to all fields, not just science.
[*] Chandrashekar was not bitter about Eddington, he credits being forced to change fields in his late 20s, taught him how to learn and he deliberately abandoned his field of study about every ten years, he continued to be productive into his late 70s. If you find the spoof paper written in his style The Imperturbability of Elevator Operators, by S Candlestickmaker, by one of his grad students, it makes hilarious reading for the geeks. ]
sed -e 's/Chuck Norris/Rajnikant/g' joke > fact
The only way to know if an idea was good, is after you've already done it. Future prediction is always a crapshoot. People who claim to be good at it were typically just lucky, and are deluding themselves into thinking it was all skill.
But seriously, if you work with old-school biologists, do the world a favour, and teach them that a Gaussian error on a number of cells is dumb and wrong.
I think that entry into either medicine or the biological sciences should require a passing grade on a graduate level statistics course. Only then do you stand a chance in hell to start moving away from a century of misconstrued numbers. In medicine, it's still painfully obvious that most researchers couldn't get past Stats 101. And that is even after they have the manuscript reviewed by a biostatistician (who is probably shivering in a basement closet hoping that the next group of researchers gives up looking for him and goes to a bar.)
Of course, I'd still be fixing cars for a living, but that might have been a better outcome for myself and society....
Faster! Faster! Faster would be better!