A note from a student: The best, worst, and most amusing things you may have missed from the 2016 academic year

Posted January 03, 2019 18:03:20When you’re out shopping for the best and worst places to eat and drink, there’s a good chance that you won’t be looking for the most expensive restaurants or the best beer or wines.

Instead, you’ll likely be looking to discover what you’re looking for.

And so, as you sit on the train and gaze out at the scenery, you may well come across a familiar sight.

A note on your car.

You may be thinking, “How is that so surprising?

Isn’t it normal?”

It’s not.

You probably never noticed the car on your train, because you’re not the type of person who would ever think to take a note out of the window.

And it’s probably not the first time you’ve ever seen a note on the back of your car, either.

But if you have, then you should be aware that, for the majority of us, that is the most surprising and most interesting thing about your life.

But how are we supposed to know what you think is the best or worst thing to do?

The same question has been asked by academics for decades.

It’s called the “What You See Is What You Get” (WHY) question, and it asks whether we should expect to see the most or least interesting things in our lives.

But is it a question worth asking?

The WHY question has three parts.

The first is “are you surprised?”

The second is “do you think that’s a reasonable expectation?”

The third is “does the expected result match up with the evidence?”.

So how can we test the WHY of an expectation?

The first question is the easiest: you can look at how often we experience it ourselves.

We can look for how often someone experiences the WHU (what you see is what you get) in their daily life.

But that’s not the same as being surprised by it.

The second question is a bit more difficult to answer, because the evidence is less reliable than the evidence.

The most widely accepted and well-tested evidence is the daily life of ordinary people, and the research shows that it tends to confirm our expectations, and even to reduce them.

The third part of the WHI is a much harder one to test.

You might think that you’re surprised that your phone is ringing.

That’s because you’ve probably had that experience at least once.

But the research is quite clear that this is not an uncommon thing.

In fact, a recent study found that about 50 per cent of people had had a telephone ringing in the previous month.

And this is consistent with a recent Australian survey that found that only 7 per cent said they had been annoyed by the ringing of a mobile phone.

So you’re probably not surprised.

What’s more, the data from these daily experiences shows that the more frequently we experience the WHO, the more likely we are to think that the expectation is accurate.

So if you’re thinking that you’ll be surprised by the car next to you, that’s probably a good reason to look at the data more closely.

But there’s also evidence to suggest that the WHIO is less predictive of a good or bad outcome than you might think.

For example, in a 2014 study, researchers at the University of Western Australia asked people to read a list of words and ask them which of them they would prefer to read.

Participants then completed a task that was much like what they’d seen in an ER.

The main difference was that they were asked to write down their thoughts on the list.

The participants who had read a word they’d previously written down were much more likely to rate the list of letters as more interesting than those who had not.

So we know that the researchers were looking for something like “the likelihood that the words on the test will match what I’m trying to think” or “the number of words that will match the words that I’ve already written down”.

But they weren’t looking for a prediction of what the list would contain, but what would match what they were trying to imagine.

Instead they were looking at what the participants thought would match.

The same is true for the word “expect”.

The researchers asked people what word they would most prefer to hear when they got their phone ringing, and found that participants were less likely to think of “expecting” than they were to think “thinking”.

So how do we test if a word on a list is actually more interesting?

The answer is in the data.

So you might be wondering: how do you test the significance of a word you’ve heard a million times?

Well, the answer is simple.

You write down what you thought would happen in the list and then do the same thing with your own words.

You take the word you wrote down and then write