What Will We Do With The Turbine Blades?

October 10, 2019 by Lewin Day 172 Comments

As the global climate emergency continues to loom over human civilization, feverish work is underway around the world to find technical and political solutions to the problem. Much has been gained in recent years, but as global emissions continue to increase, there remains much left to do to stave off the most catastrophic effects of climate change.

Renewable energy has led the charge, allowing humanity to continue to enjoy the wonders of electricity with a reduced environmental impact. The future looks promising, with renewable sources becoming cheaper than traditional fossil fuel energy plants in many cases, both in the US and abroad. At the same time, the rise of renewable technologies has brought new and varied challenges to the fore, which must be dealt with in kind. Take wind energy, for instance. Continue reading “What Will We Do With The Turbine Blades?” →

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October 10, 2019 by Sharon Lin 22 Comments

Some sentences have more than meets the eye, and we’re not talking about interpretive nonsense. Rather, some sentences may contain up to four paragraphs’ worth of hidden text, invisible to readers.

Thanks to Zero Width Obfuscation, it is possible to use Zero Width Characters – Unicode characters that are invisible even when you try to highlight them. They’re typically used for abstract foreign languages that require separators that don’t take up an entire space. In this case, they’re used to obfuscate and de-obfuscate hidden messages sent through text.

[inzerosight] published a browser extension that identifies, de-obfuscates, and obfuscates these messages for you on the web. It does this by querying each page for the Unicode of the Zero Width Characters (U+FEFF, U+200C, U+200D, U+200E, U+2060, U+180E) and highlighting where they’ve been spotted. The encoding replaces each Unicode character with a permutation of two of the Zero Width Characters, essentially doing a find and replace across the text message.

I’m just waiting to see how long it takes for Zero Width Obfuscation to become the next Konami Code Easter Egg.

How Random Is Random?

October 10, 2019 by Sharon Lin 10 Comments

Many languages feature a random number generator library for help with tasks like rolling a die or flipping a coin. Why, you may ask, is this necessary when humans are perfectly capable of randomly coming up with values?

[ex-punctis] was curious about the same quandary and decided to code up an experiment to test the true randomness of human. A script guesses the user’s next input from two choices, keeping a tally in the JavaScript backend that holds on to the past five choices. If the script guesses correctly, they take $1 from the user. Otherwise, the user earns $1.05.

The data from gathered from running the script with 200 pseudo-random inputs 100,000 times resulted in a distribution of correct guess approximately normal (µ=50% and σ=3.5%). The probability of the script correctly guessing the user’s input is >57% from calculating µ+2σ. The result? Humans aren’t so good at being random after all.

It’s almost intuitive why this happens. Finger presses tend to repeat certain patterns. The script already has a database of all possible combinations of five presses, with a counter for each combination. Every time a key is pressed, the latest five presses is updated and the counter increases for whichever combination of five presses this falls under. Based on this data, the script is able to make a prediction about the user’s next press.

In a follow-up statistic analysis, [ex-punctis] notes that with more key presses, the accuracy of the script tended to increase, with the exception of 1000+ key presses. The latter was thought to be due to the use of a psuedo random number generator to achieve such high levels of engagement with the script.

Some additional tests were done to see if holding shorter or longer sequences in memory would account for more accurate predictions. While shorter sequences should theoretically work, the risk of players keeping a tally of their own presses made it more likely for the longer sequences to reduce bias.

There’s a lot of literature on behavioral models and framing effects for similar games if you’re interested in implementing your own experiments and tricking your friends into giving you some cash.