Why Hollywood gets it wrong, part 3

By Gordon Rugg

The first article in this short series examined how conflicting conventions and requirements can lead to a movie being unrealistic. The second article explored the pressures driving movie scripts towards unrealistically high signal to noise ratios, with few of the extraneous details that occur in real conversations.

Today’s article, the third in the series, addresses another way in which movies are different from reality. Movies depict a world which features the word “very” a lot. Sometimes it’s the characters who are very bad, or very good, or very attractive, or whatever; sometimes it’s the situations they encounter which are very exciting or very frightening or very memorable; sometimes it’s the settings which are very beautiful, or very downbeat, or very strange. Whatever the form that it takes, the “very” will almost always be in there somewhere prominent.

Why does this happen? It’s a phenomenon that’s well recognised in the media, well summed up in a quote attributed to Walt Disney, where he allegedly said that his animations could be better than reality.

When you think of it from that perspective, then it makes sense for movies to show something different from reality, since we can see reality easily enough every day without needing to watch a movie. This raises other questions, though, such as in which directions movies tend to be different from reality, and how big those differences tend to be.

That’s the main topic of this article.

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Intrinsic, extrinsic, and the magic of association

By Gordon Rugg

As regular readers of this blog will know, I have an awed respect for the ability of Ancient Greek philosophers to spot a really important point, and to then produce an extremely plausible but only partially correct explanation, sending everyone else off in the wrong direction for the next couple of thousand years.

Today’s article is about one of those points, where the Ancient Greeks didn’t actually get anything wrong, but where they laid out a concept that’s only part of the story. It involves a concept that can be very useful for making sense of consumer preferences and life choices, namely the difference between intrinsic properties in the broad sense, and extrinsic properties in the broad sense.

Here’s an example. The image below shows a pair of Zippo lighters. One of them is worth a few dollars; the other is worth tens of thousands of dollars, even though it’s physically indistinguishable from the first one. Why the difference? The answer is below…

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Things, concepts and words

By Gordon Rugg

There’s a useful three way distinction in linguistics between things, concepts and words.

This article is a gentle examination of the distinction, with some thoughts about implications for human error.

Unicorns and non-unicornsbannerSources for images are given at the end of this article

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Beyond the 80:20 Principle

By Gordon Rugg, Jennifer Skillen & Colin Rigby

There’s a widely used concept called the 80:20 Principle, or the Pareto Principle, named after the decision theorist who invented it. It’s extremely useful.

In brief, across a wide range of fields, about 80% of one thing will usually come from 20% of another.

In business, for example, 80% of your revenue will come from 20% of your customers. In any sector, getting the first 80% of the job done will usually take about 20% of the resources involved; getting the last 20% of the job done will usually be much harder, and will take up 80% of the resources. The figure won’t always be exactly 80%, but it’s usually in that area. Good managers are very well aware of this issue, and keep a wary eye out for it when planning.

Here’s a diagram showing the principle. It’s pretty simple, but very powerful. However, that doesn’t mean that it’s perfect. It can actually be developed into something richer and more powerful, which is what we’ll describe in this article.

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Instrumental and expressive behaviour

By Gordon Rugg

There are a lot of very useful concepts which are nowhere near as widely known as they should be.

One of these is the concept of instrumental versus expressive behaviour. It makes sense of a broad range of human behaviour which would otherwise look baffling. It explains a lot of the things that politicians do, and a lot of the ways that people act in stressful situations, for instance.

This article gives a short overview of the traditional version of the concept, and describes how a richer form of knowledge representation can make the concept even more useful.

Humans being expressive and instrumental

bannerv1Sources for original images are given at the end of this article

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Strange places

By Gordon Rugg

There’s a scene in the movie Byzantium where a vampire hesitates at a threshold, waiting for her intended victim to invite her inside. The setting is a run-down seaside town, out of season. It’s a scene that combines several types of unsettling strangeness, which makes it a good starting point for today’s article about strange places.

bannerv1Two boundary spaces: Image credits are at the end of this article.

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Content analysis: An introduction

By Gordon Rugg

I have very mixed feelings about content analysis. At its best, it gives you a new understanding of the world around you. At its worst, which I see all too often, it’s little more than an attempt to salvage mangled fragments of something useful from the wreckage of a questionnaire perpetrated by some sinner who deserves to be locked in a cell for a while with the assorted works of Barbara Cartland being read aloud over the intercom. Accompanied by accordion music.

So what is content analysis, and why do I have such strongly mixed feelings about it? In essence, it’s about analysing the content of texts. The texts may be questionnaire answers or interview answers, or magazine articles, or books, or online forum debates, or just about anything else that’s spoken or written.

Content analysis is usually something that you “grapple with” rather than “do” because it’s a messy, nasty problem. The core dilemna is that the further you get from the original words in the text, the more you risk distorting their meaning; however, the nearer you get to the original words, the less sense you can make of what those words are telling you.

There are various ways of tackling this problem, but none of them provide a perfect solution. The result is that there are numerous types of content analysis, which vary widely in their assumptions, methods, strengths and weaknesses. This article describes a “vanilla flavour” type of content analysis, which is enough for the needs of many students. I’ll look at other types in future articles.

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