Do not fall into the trap of believing that. It happens a lot more than we like.
I doubt it because it would be trivial to disprove, it does not look like their data, they are siteing someone else in the data, and I'm not really into it, it was just the first graph I found with data from the last two years in it. you say this graph is false show me another one with data for the last two years, pics or GTFO.
Except I didn't say it was false. I just said "Do not fall into the trap of believing that data is never falsified."
Indeed, I even said it "could" be true. However, look at Watsisname's post, his link has a wee bit more credibility as it is a study done by a government agency. (But only a little bit more)
And, actually, it's not trivial to disprove anything like that - it's usually very hard to do without a.) asking them to redo their experiment and figures and show how they did it - because the method and location and sources of their data will influence their readings or b.) Like that climatology group that was caught falsifying data to fill gaps, get your hands on their internal communications.
If you really want Bobboau, I'm going to the library tomorrow with some friends, and I'll see if I can't use my uni's account to raid some scientific journal sites to present you with evidence that shows the opposite of your graph. And then I could probably find some that show the same as your graph.
You might want to look into the differences in models where only natural factors are considered, and where human factors are also considered, as well, as that's a huge issue and divisive factor in the CM community.
Also, importantly, all you've done is pull a graph off the internet from some site - which is hardly the most accurate of sources. Rule number one of science - don't trust the internet unless it's an accredited scientific journal site and you're looking at an actual paper and cited study.
Edit:
But we're getting massively offtopic.
Habitable exoplanet? Colony ship pls.