Regret your PhD? Would do it all over again?

[twofish-quant]

But you are making guesses here. That is what I have been critical of. Lacking an actual DATA to back your claim, you then not only try to throw holes into it, but you are also making counter claim that seriously lack any kind of data (even weak ones) to back your claim.

If you don't know, then you don't know. If you don't know then you figure out what it is that you need to find out.

This practice is no better than Intelligent Design supporters poking holes at evolution, while they themselves have nothing.

I have nothing wrong with ID people poking holes at evolution. Poking holes is good. Of course just because evolution has holes make have nothing to do with evolution being right, and just because you have a hole doesn't mean that you are wrong.

Also most of my physics experience in statistics, outside of my wife's experience, comes from being near observational cosmologists. Poking wholes at cosmological statistics is a good thing because it tells you where to spend point the telescope next. The typical problem involves looking at galaxies correlation counts and evolutionary data and trying to figure out what the data says and what it doesn't.

I can see if you want to say that MY EXPERIENCE is not the same as so-and-so. You can even use me as a counter example, and I can use my experience to counter yours. But to put your experience on par, or even trump over the statistics, when you're lacking of any to back your claim, is a highly dubious practice.

I don't think it is. If I suddenly get observational statistics that say that the CMB is highly anisotropic, my first reaction is go back over the data and assume that I made some sort of mistake. Usually you can find an obvious mistake in the data processing. If I get statistical data that says the sky is pink, my first reaction is to assume that there is a mistake.

Now what makes me different from a creationist is that I'm not totally dogmatic about it. If I go through my data, and I still can't find an obvious mistake, then I think some more about experiments to perform, and if after going through more experiments, I *still* find a signal, then I'll change my mind.

However, I know from observational cosmology and my wife's work what a statistically strong study looks like and the AIP study ain't it. If the AIP published a statistically strong study and it conflicted with anecdotal data, then I'd likely conclude some reporting bias in the anecdotal data, but because they leave out critical pieces of information and also because I think the question is very badly worded, right now, it's statistically weak.

One thing that people in the social sciences and medicine are quite aware of is that people *do* unconsciously bias statistics because of experience, and there are some pretty cool statistical tests for teasing out this. It's not that people are evil or intentionally trying to mess with stats. It's just that you have to look very carefully at statistical processing to see that.

For someone who is in your profession, you should know better.

I'm not sure how I'm supposed to respond to this.

 

[twofish-quant]

Also, one thing to make clear is that I don't know or not if the AIP statistics are inaccurate or not. It's data. It's interesting data, and if anecdotal reports are inconsistent then we have an interesting question of what is going on.

What I object to is bashing the OP for asking the questions which I think he should be asking. If he asks a bunch of people and they all give responses which are consistent with the AIP survey, then that means that the AIP survey is more reliable. If not, then we have inconsistent data that we need to try to explain.

 

[HossamCFD]

Also, one thing to make clear is that I don't know or not if the AIP statistics are inaccurate or not. It's data. It's interesting data, and if anecdotal reports are inconsistent then we have an interesting question of what is going on.

What I object to is bashing the OP for asking the questions which I think he should be asking. If he asks a bunch of people and they all give responses which are consistent with the AIP survey, then that means that the AIP survey is more reliable. If not, then we have inconsistent data that we need to try to explain.

This post says it all. I think after 33 posts we may actually want to respond to the OP, like what Astronuc did, rather than debating whether the question is useful or not.

I myself don't have stories to tell. I will begin my Ph.D next October. And although it is extremely unlikely that I will be making any decisions based on what I read in this post, I find the question asked here very interesting and I am curious to read people's perspectives.

 

[twofish-quant]

One other thing since you mentioned ID, let me counter by bringing up Halton Arp. Arp has been arguing since 1965 that statistics prove the quasars are close by, and from time to time a paper gets published that argues that with statistics you can show that the big bang didn't happen or that quasars are close by, and you can look in the astrophysics forum for these arguments.

What you end up finding out is that people that argue this are sloppy with their statistics, and if you drill down into them, the correlations they argue about disappear. Now if you run into a situation where someone publishes a quasar count paper without enough information to drill down to see what is going on, it's probably going to be dismissed out of hand, and the attitude is "we can't figure out what you did wrong since you didn't give us enough data, but you likely messed up somewhere so we aren't going to publish." Arp takes this as evidence that the scientific community is against him and the truth.

So coming from this environment I'm going to be *very* skeptical of statistics data and more trusting in deep anecdotal data. For example, you take twenty quasars at look at them in detail and conclude that "yup they are really far away" and that beats Arp's statistical arguments that they are close by. It's not that I will dismiss statistical data out of hand, but I will insist on some basic cross-checking of data.

Now if you think that statistics always beats anecdotal data, the next time someone in the astrophysics forum brings up Arp and friends and their statistical proof that most quasars are nearby, I'll let you argue with them.

Deal? :-) :-) :-)

 

[Astronuc]

what changes would you make? I remember you saying you started in physics and transferred to NE.

I'd ask more questions, and do a little more investigation! I thought I could figure it out by myself, but I didn't know the what I needed to know at the time. Looking back, the path is more clear.

I'd actually redo my undergrad program to double major in physics and nuclear engineering.

btw, did you read my pm I sent awhile ago?

Yes I did. I will answer it later today.

 

[twofu]

Wow, when I went to sleep there was only one page.

I read everything, and thanks for those who gave their perspectives. I'm happy that some of you it was a core part of your lives, because this is how I see it. We often see a lot of weird posts on this forum, so its weird for Zz to question my intentions and bring on concerns. If I knew a few PhD's in real life, I would ask them. I don't feel comfortable asking my professors to be honest.

I am also the first one from my family to make it this far through college. In their perspectives: engineering and computer science, and being a doctor is where job security is held.

Also, I'm a little skeptical of statistics because I won't have my PhD until ~2019-2020 assuming undergrad graduation in 2 years and another 5-6 years (which is usual for astrophysics PhD). What is my point? Perspectives change, and so do statistics. I would hope that people's perspectives match up with the statistics, e.g. some are unemployed and some are happily employed as professors.

Bigger reason I asked this question is about adaptability, how are these people's attitudes and how are they adjusting with a similar formal education that I will have. I don't want to google "what jobs are there for a PhD physicist" because statistics and job prospects *usually* don't give the dirty details.

 

[ZapperZ]

Wow, when I went to sleep there was only one page.

I read everything, and thanks for those who gave their perspectives. I'm happy that some of you it was a core part of your lives, because this is how I see it. We often see a lot of weird posts on this forum, so its weird for Zz to question my intentions and bring on concerns. If I knew a few PhD's in real life, I would ask them. I don't feel comfortable asking my professors to be honest.

I am also the first one from my family to make it this far through college. In their perspectives: engineering and computer science, and being a doctor is where job security is held.

Also, I'm a little skeptical of statistics because I won't have my PhD until ~2019-2020 assuming undergrad graduation in 2 years and another 5-6 years (which is usual for astrophysics PhD). What is my point? Perspectives change, and so do statistics. I would hope that people's perspectives match up with the statistics, e.g. some are unemployed and some are happily employed as professors.

Bigger reason I asked this question is about adaptability, how are these people's attitudes and how are they adjusting with a similar formal education that I will have. I don't want to google "what jobs are there for a PhD physicist" because statistics and job prospects *usually* don't give the dirty details.

So you think the "dirty details" from just a few people have more credibility, and sufficient to draw a valid conclusion?

And note, if you think statistics can't tell you anything about what's going to happen in the future, what makes you think anecdotal stories can? These individuals are more clairvoyant?

Zz.

 

[deRham]

I've never "struggled" to get a job, and I only have a high school diploma.

Do you think your experience is typical? A lot of people struggle to get jobs nowadays, in my experience, and I can't say they're not trying. I know anywhere from the high school diploma level to beyond.

By the way, it also becomes harder once you're past your PhD to be OK with not having a pretty good job, for things like family and such.

I feel this would be analogous to what's learned in grad school. Sure, employers might not care about what happens to the thermal conductivity of graphene when placed on a new type of substrate, but they will care about the skills you learned along the way. The ability to solve differential equations, computer modeling, practical lab skills... these are all skills that do transfer.

It depends what skills you really got. How many practical lab skills are there for someone studying string theory?

Sure, if you've got skills that can be useful outside academia, great. But a lot of people have only one skill that will be transferable - that they're way better at math than the average person applying for the same job.


Further, if I'm not wrong, when you applied for jobs, you just had a high school diploma. From what I hear, if you came across as an overspecialized PhD who is only doing so and so job because it will fit immediate needs to pay the bills, people might be scared you'll leave. Even if you were just a very qualified person without a PhD who worked in pretty intense jobs, I think employers for less intense positions might start to worry whether you'll leave after you find something better.

I feel your case is that it's very possible to get a PhD in a theoretical subject and not end up in a bit of trouble. I agree. Nevertheless, I think it's a bit more complicated than you seemed to give the subject credit for.

 

[deRham]

But to put your experience on par, or even trump over the statistics

@Zz, but I don't think experience and statistics are even playing in the same field. Experience is meant to give reasons why one person felt a certain way. That's actually good in one way, because even if that person is biased, by talking to him/her in depth, you can detect it a little more.

With statistics, like twofish mentions, you don't know a lot of that background.



Also, calling statistics flawed can amount to merely finding ways they even COULD convey biases that you want to be extremely aware of. It doesn't necessarily imply saying the said person's experience trumps the statistics and provides the full picture.


Also, poking holes at evolution is fine. Like it was said, just because you aren't necessarily correct doesn't mean you're certainly wrong, or even that most people would take you to be wrong.

 

[deRham]

What I object to is bashing the OP for asking the questions which I think he should be asking. If he asks a bunch of people and they all give responses which are consistent with the AIP survey, then that means that the AIP survey is more reliable. If not, then we have inconsistent data that we need to try to explain.

Same here. That was the intention when I started with just one post on this thread!



Also, like any decision-making, you have to be careful - even if you ask a bunch of people and they say the same thing, AND it matches the statistics, you should never forget to ask people's reasons - your path may be in some way significantly different. Try to err on the side of caution, but always remember you might be an odd one out, and if you're taking that possibility seriously, be sure to have good explanations (for yourself).

 

[twofu]

So you think the "dirty details" from just a few people have more credibility, and sufficient to draw a valid conclusion?

And note, if you think statistics can't tell you anything about what's going to happen in the future, what makes you think anecdotal stories can? These individuals are more clairvoyant?

Zz.

I thought I stated neither will forecast...but okay.
I don't have many experiences with jobs or the "real" world since I'm only an undergraduate but I like hearing stories.

Also, I trust that most people posting regularly on this forum are intelligent and will provide a thorough perspective, rather than trying to deter me which seems to be your concern...

Again..its summer..this is just one more thing I can say I did, e.g. some sort of informal survey if you will.

 

[deRham]

In their perspectives: engineering and computer science, and being a doctor is where job security is held.

You should message twofish-quant or talk to someone with his experience, i.e. someone who has done a PhD and actually been successful outside of academia after.

The thing about engineering and CS is that you might get started making money a lot earlier. If you get hired at Google from the start, for instance. With a less than exceptionally affluent family, that option can start to seem attractive very quickly.

If they are willing to support the idea of medical school, which frankly takes forever, then I don't see a reason not to pursue what you want to do, as long as you have the beginnings of a good plan B, C, etc.

 

[ZapperZ]

@Zz, but I don't think experience and statistics are even playing in the same field. Experience is meant to give reasons why one person felt a certain way. That's actually good in one way, because even if that person is biased, by talking to him/her in depth, you can detect it a little more.

With statistics, like twofish mentions, you don't know a lot of that background.
Also, calling statistics flawed can amount to merely finding ways they even COULD convey biases that you want to be extremely aware of. It doesn't necessarily imply saying the said person's experience trumps the statistics and provides the full picture. Also, poking holes at evolution is fine. Like it was said, just because you aren't necessarily correct doesn't mean you're certainly wrong, or even that most people would take you to be wrong.

There is something strange going on here. I NEVER at any point in this thread EVER mentioned that the statistics are "correct" or the end-deal in this issue. Read my original insistence on the OP to actually look at the statistics.

This, btw, is a very clear example where, even when you related to someone directly, messages can easily be lost, and something else is being "understood". So if you think your anecdotal stores actually got through unfiltered and intact, think again!

When I wrote my "So You Want To Be A Physicist" essay, I clearly stated that this was MY perspective and based on what *I* experienced and observed. So yes, I do know and can easily appreciate the point of view from one, or even a few individuals. So being told that this personal observation can be useful is rather puzzling.

But at the same time, when there are data that survey even MORE people than just a few, one cannot simply ignore or dismiss such a thing. That is what I objected to from the very beginning. Instead, people have turned this around as somehow think that I ONLY would pay attention to such statistics and will consider that to be nothing short of a biblical prophecy. Oy vey!

Zz.

 

[deRham]

I NEVER at any point in this thread EVER mentioned that the statistics are "correct" or the end-deal in this issue.

And you should read my first post in this thread, agreeing with your original post. I don't see what your problem is with mine?

 

[twofu]

There is something strange going on here. I NEVER at any point in this thread EVER mentioned that the statistics are "correct" or the end-deal in this issue. Read my original insistence on the OP to actually look at the statistics.


Zz.

I got your point from your original post. I even said "Thanks Zz". I stated that I already read statistics, and that I just want some real life perspectives.

 

[FourierFaux]

I don't feel comfortable asking my professors to be honest.

In their perspectives: engineering and computer science, and being a doctor is where job security is held.

-- Twofu

A medical degree might be a little riskier than most give it credit for. Consider that you'd need to take out $50,000 - 200,000 in loans just to pay for the education. In the current economy, they would more than likely be unsubsidized. It's true that surgeons have an unemployment rate of 0.8%, but you might want to ask yourself; how many people went in for this? And how many people made it out? Do you know for sure what will happen with the new health care plan; how it may affect your job? What is the worst case scenario?

Also consider that it's quite common in engineering to find oneself laid off from the large company. There is no free lunch, it's difficult to say what the job market will be like in 2019-2020. What is in demand today (nurse practitioners, computer programmers, engineers of any flavor) may not be in demand tomorrow. Bearing this in mind, most of us find that it's better to find something that you love, be the best you can be at it, then work with what you have. Your family just worries about you and wants the best for you, but I doubt that they really know what that is... any more than the rest of us. :)

Note: As long as you can really program... most companies that hire software engineers don't really care where or how you learned it. It's easy to test yourself too, pick up some computer programming language (c/c++, python, and java are common languages for computer science students to know) then start contributing to some opensource project.

 

[FourierFaux]

Most professors don't mind talking to interested students. If one of them does, you can find another one.

 

[twofu]

Thanks for the insight FourierFaux. I have no desire or prior interest to go into CS, medicine or engineering. I took a few CS courses here, and it wasn't my cup of tea however I can do it if needed. I'll be sure to recite to them what you have said here if something comes up.

 

[ParticleGrl]

First, a note on the AIP statistics- the response rate to the post-degree survey was only 54%, according to the report. I'd be worried about an inherent bias- people who are dissatisfied may well be less likely to reply. Of those responses, 31% of the surveys were filled out by the student's advisors. How many advisors will respond that their student is dissatisfied with the result?

Anyway, I'll respond to the original question. I got into my first choice grad school, got my first choice advisor and was totally laser focused on my research from day 1. Around year 3 or so of grad school, I started getting nervous. Older students I knew were starting to graduate and were churning out hundreds of postdoc applications and hoping for one or two interviews. Postdocs in the department were leaving the field in frustration despite excellent pedigrees, etc. I redoubled my efforts, determined to be the most productive grad student possible, but by the end of my last year, I had just seen academia throw away way too many talented people to apply for postdocs.

Thats when things became incredibly frustrating- the skills you spend the most time developing for a high energy theory phd are not in demand anywhere outside of academia (and there isn't much demand there). My academic superiors had always assured me that there were good technical jobs just waiting for smart people, but this has proven not to be the case. A physics phd is trainable, but employers want someone who is trained. The only fields that seem to desire the pedigree are business consulting/analytics and finance.

I don't know yet if I am dissatisfied with my phd. I've applied to well over a thousand jobs with no offers yet, and am working as a bartender right now. I went into a phd program because I really wanted to work in a traditional technical field (engineering, defense,etc) doing research work, so if I do manage to find such a job, I'll be happy. If I end up in finance, etc, I'll always be upset that I passed up job offers in technical fields after undergrad to go to graduate school, only to end up unable to start the sort of career I thought I was working towards.

If I could do it over again, instead of relying on my advisor and others in the department for advice (which has turned out to have been objectively bad in many cases), I would have made contacts as soon as I could with industry jobs I might enjoy doing, and aimed at developing skills for that career. I would have pushed to get industry internships over the summers. This would almost certainly have lowered my physics productivity, I may well have graduated with half as many papers, and I would almost certainly have had to switch advisors (my own had high standards for publications before graduation).

 

[twofu]

If I could do it over again, instead of relying on my advisor and others in the department for advice (which has turned out to have been objectively bad in many cases), I would have made contacts as soon as I could with industry jobs I might enjoy doing, and aimed at developing skills for that career. I would have pushed to get industry internships over the summers. This would almost certainly have lowered my physics productivity, I may well have graduated with half as many papers, and I would almost certainly have had to switch advisors (my own had high standards for publications before graduation).

First I'd like to say thanks for the insight and taking the time to type all that out. This is something I considered doing as well before going straight into graduate school. Getting involved a little industry before spending another 6 years in school. Well thanks for your input:)

 

[twofish-quant]

So you think the "dirty details" from just a few people have more credibility, and sufficient to draw a valid conclusion?

It's not either or.

In cosmology and social sciences there are two types of studies, those that go deep and shallow, and those that go wide and narrow. In quantitative research, you ask the same question for a large number of people, whereas in qualitative research, you do deep interviews of a few people. It's really useful if you do both.

One problem is reporting bias. If you what to know if fruit loops causes cancer, and you put out a internet post that asking for interviewees that have eaten fruit loops and gotten cancer, then surprise, surprise, surprise, you'll find that amount your interviewees, it appears that there is a correlation between fruit loops and cancer. And if you have a set of interviews of people that have eaten fruit loops and gotten cancer, and then you do a statistical survey of fruit loops eaters, then I'd be more likely to trust the latter because of reporting bias.

However, it is simply not the case that statistics are *inherently* less subject to reporting bias. Salary and satisfaction surveys are *notorious* for having self- reporting bias, and in this particular situation, I would tend to trust deep interviews more than I would a survey unless I had a lot of confidence that the creators of the survey were very, very careful about controlling for reporting bias, which I do not have in this case. The thing about deep interviews is that if you go in knowing that you are likely to have a biased sample, then by asking the right questions, you can figure out how the sample is biased, and then try to piece together what is going on. Also, you get deep information about what is going on that you would not get with surveys.

One other reason that I tend to trust interviews rather than surveys in this particularly situation is that interviews are harder for amateur data gatherers to get wrong. Statistical surveys are deceptively easy to get very wrong, and the problem with surveys is that it's harder to tell if you've biased your sample.

Also, if you ask me if I what I think about the AIP numbers, they don't wildly differ from what I think I would get if I asked my friends, but...

If you asked most of my Ph.D. friends if they would do it all over again, they would likely say "Yes, I'd do it over again" however if you asked them "why?" the answer would be "if I didn't do my Ph.D., then there would have been no chance in hell that I would have gotten my green card." This would nicely explain some of the numbers. The US citizen column has higher satisfaction because they include people that finished their Ph.D. and got US citizenship, the non-citizen category includes people that still have hope of getting US citizenship, and anyone that has given up hope of US citizenship has left the country and is not part of the survey.

Of course the problem with this is that it if turns out that most Ph.D. holders would do it over again for a green card, this would be useless information if you are already a US citizen, and if that is what is going on, you'd never be able to find it out by those survey questions. If you think that this what is going on, you might be able to get the data with other survey questions.

Also, it helps if you do studies with *different* biases. For example, if you ask people on this forum about their Ph.D. experiences, you are going to be biased toward people with native level fluency of English and are comfortable using that language to talk about themselves.

And note, if you think statistics can't tell you anything about what's going to happen in the future, what makes you think anecdotal stories can? These individuals are more clairvoyant?

People can think, and when you interview people you watch them think. One thing that you can get with stories that you can't get with this particular survey is historical data. You can talk to someone and they can tell you that they think that X is going to happen because X happened in 1970.

Also a lot of the data that gives *dynamical* information is stuff that doesn't fit into a close-response survey. When you do a survey, you have an implicit model for what is going on, and the answers are restricted enough so that it's hard to see that there is something basically wrong with the model, whereas if you use deep interviewing, you are more likely to get information that challenges your model of what is going on.

 

[twofish-quant]

I feel like playing Edith Piaf's - Non, Je Ne Regrette Rien.

I wouldn't regret any of the decisions that I made before getting my Ph.D. The only regret that I have is that I felt bad and guilty about making them at the time, and had I had to do it over again, I would have made the same decisions and wouldn't feel bad about them.

It's oddly weird that to look back because at the time I had a very different mindset, and a lot of the things that I thought and felt make no sense to me now. What ended up happening was that the decisions that I made were *really* beneficial to me after getting my Ph.D., but at the time, I felt like a fish out of water, and swimming against the tide was quite tiring.

The big regrets are what I did after I got my Ph.D. Curiously, I didn't have any problem jumping into industry since I had lot of computer experience and this was in the middle of the dot-com bubble. However, it was still a gut-wrenching and traumatic process nevertheless. One mistake that I made was that since I felt like a "freak", I didn't keep my old research links. I felt like an "stranger" walking into the department, which means that I didn't visit very often, and after a while my research networks got cold.

The odd thing is that my dissertation adviser was pretty supportive and one of the nicest people that you'd ever meet, so he didn't intentionally make me feel out of place. I'm still not sure where this feeling of being a freak came from, and it's hard for me to figure out because I'm a different person now than I was before, and I don't feel what I did, but it took literally *years* to change my view of the world.

One thing that would have helped a lot is if someone had just mentioned to me that I was "normal", which is more or less what I'm trying to do now. A lot of the conversations that I'm having are essentially conversations with a younger me, so I'm telling high school students and undergraduates what I wish someone had told me when I was at that age.

 

[deRham]

The odd thing is that my dissertation adviser was pretty supportive and one of the nicest people that you'd ever meet, so he didn't intentionally make me feel out of place.

This actually is quite scary to think about. I have these imaginary scenarios in my head of telling my dissertation adviser about quitting academia.

 

[Ryker]

This actually is quite scary to think about. I have these imaginary scenarios in my head of telling my dissertation adviser about quitting academia.

Why? I mean, I really don't understand, since the professor I'm doing research for as a summer student now is really down to earth, and I can openly discuss whatever with him. He even mentioned before I started that I'm going to pick up skills that are going to be helpful if I ever go into industry, and he also keeps contact and is interested in other people's experiences with working there. Having said that, he said multiple times he loves academia and wouldn't know what to do in industry, so it's not like he's keeping one eye open for any better opportunities. And as he got his PhD in the US, I'm really puzzled by all these accounts of professors being so out of touch with reality, and only seeing the world academia and nothing else.

 

[TMFKAN64]

Well, since you are looking for all fields, not just physics, I'd say I haven't regretted doing a Ph.D. in computer science at all. Aside from the fact that the entire process, while painful, was incredibly worthwhile, and introduced me to people and concepts I would have never been exposed to otherwise, I have no doubt that it has given me an increased freedom of career movement that I wouldn't have had if I had not done it.

And I'm paid bloody well too. I'm sure that the Ph.D. has repaid the opportunity cost of not going directly into industry after getting a BS several times over by now.

 

[ParticleGrl]

Why? I mean, I really don't understand, since the professor I'm doing research for as a summer student now is really down to earth, and I can openly discuss whatever with him.

Not all research advisors are as understanding. If you go to graduate school, you'll have friends working for a variety of advisors, and you'll be amazed how different the grad school experience can be.

He even mentioned before I started that I'm going to pick up skills that are going to be helpful if I ever go into industry

Having said that, he said multiple times he loves academia and wouldn't know what to do in industry

The second quote here should make you at least a little worried that about the first. I was told throughout grad school I was learning things that would be fantastic for a tech. industry career, and was developing an amazing CV. It was only when I started applying for jobs that reality brutally crushed perception. I'd recommend finding out which industry these skills are supposed to be useful for, and I would get in touch with people who actually work in these industries.

 

[Ryker]

The second quote here should make you at least a little worried that about the first. I was told throughout grad school I was learning things that would be fantastic for a tech. industry career, and was developing an amazing CV. It was only when I started applying for jobs that reality brutally crushed perception. I'd recommend finding out which industry these skills are supposed to be useful for, and I would get in touch with people who actually work in these industries.

Nah, the second quote is actually a bit mangled, since I didn't know how to put the second part of it into words. So the first part, him loving academia, stands as is, but the second part should perhaps be modified or omitted altogether. I see what you're getting at, but it really is just me being bad at putting it into words and not remembering what exactly he said.

 

[deRham]

@Ryker, what if your specialties are purely theoretical pen and paper thought type things? When I conversed even with the more personable professors I know, they explicitly stated graduate school in mathematics has one goal: not learning mathematics; but training for a career as a mathematics researcher and making the transition. That is, we already learned to excel at mathematics as undergrads. Maybe the situation is different in physics. Many of these professors really don't use computers any more than to check email and type documents (they said so).

So my situation may be different from yours.

Whatever the case may be, I agree with ParticleGrl that one should be careful.

 

[jeebs]

Since my parents found out I want to get a PhD in something Physics related, they freaked and told me I would be miserable and struggle getting a job. So 2 years worth of undergrad work now I am reconsidering it...I never thought about jobs that that much, I just knew I like physics; I get good grades and I enjoy studying it.

That for me is enough to justify ignoring any parental protest.

 

[deRham]

That for me is enough to justify ignoring any parental protest.

Perhaps for you, but I'd say a lot of people underestimate how little that actually says. Getting good grades in a theoretical subject and enjoying it is the absolute, absolute basic requirement to having any future at all doing that theory (which few people will pay you to do).