Ah, the cushy life of the modern biologist. He can do a poorly designed experimental study, and his bungling research can get published (being approved by peer-reviewers who often do research just as bad). His bungling research can get trumpeted by the uncritical "echo chamber" guys that call themselves science journalists, but who typically act more like cheerleaders rather than good journalists. Or he can write some study making the most glaring factual errors and the laziest type of scholarship, and if he has produced something interesting-sounding, a horde of websites eager for profitable clickbait will make sure his claims are repeated on a hundred web pages. To get the hype ball rolling, it helps to have a typical university press office, populated by writers willing to engage in the most shameless exaggeration, trying to make dross results look like gold.
A recent example is the bungling paper "The Unbearable Slowness of Being: Why do we live at 10 bits/s?" by Jieyu Zheng and Markus Meister. The paper makes the extremely untrue claim that the "throughput of human behavior" is 10 bits per second. The authors state, "the information throughput of human behavior is about 10 bits/s." Throughput is defined as "the amount of material or items passing through a system or process."
The authors quickly tell how they got this idea. They say that good typists typically type at 120 words per minutes. Erring by a factor of 1000%, the authors then give some utterly erroneous calculation trying to suggest this is a speed of only 10 bits per second. We read this:
If you doubt my claims above, consider how an English character is stored and transmitted in computer systems. Characters are stored and transmitted using the ASCII code system, which involves storing each typeable character as a specific decimal number. You can search for "ASCII table" to see how the system works. Punctuation marks are represented by the numbers between 32 and 47, the numbers 58 to 64, the numbers 91 to 96, and the numbers 123 to 126. The numbers 0 through 9 are represented by the numbers 48 to 57. Uppercase letters are represented by the numbers 65 to 90. Lowercase letters are represented by the numbers 97 to 122.
Under the ASCII system a keyboard character is represented by a decimal number between 1 and 128. Storing or transmitting a decimal number that can vary between 1 and 128 always requires at least 7 binary bits. For example, the number 100 is stored as 1100011 in binary, and the number 115 is stored as 1110001. Since it requires at least 7 bits per character to store or transmit a character, and since an English word of average length and the space character after it consists of six characters, the correct calculation for the output bit transmission rate of typing 120 words per minute is below:
Bits per minute = 7 * 6 * 120 = 5040
Bits per second = 5040 /60 = 84
So typing at 120 words per minute involves a bit output of about 84 bits per second, which is 800% higher than Zheng and Meister have estimated. The fastest human typist typed at 305 words per minute, which is a rate of more than 200 bits per second. This is an output more than twenty times greater than the "10 bits per second" figure cited by Meister and Zheng.
But the numbers above are actually a 50% underestimation of the throughput occurring. The typists who type 120 words per minute are reading as they type. To properly calculate the throughput (the total number of bits moving around), we must calculate both the activity of reading the 120 words and the activity of typing the 120 words. Doing that, we are left with a total throughput of 168 bits per second, which is more than 1600% higher than the throughput Zheng and Meister have estimated.
An ordinary old guy like me can sing the four lines below in about 8 seconds:
I am the very model of a modern Major-General,
I've information vegetable, animal, and mineral,
I know the kings of England, and I quote the fights historical
From Marathon to Waterloo, in order categorical;
These lines are the opening lines of Gilbert and Sullivan's patter song with the same title as the first line. The four lines have a total of 207 characters, including the spaces. I can sing them at a rate of about 26 characters per second. That is an output of about 208 bits per second. This is an output more than twenty times greater than the "10 bits per second" figure cited by Meister and Zheng. And I haven't even considered the additional information content involved, because when I sing that each syllable is a note on the musical scale; and I didn't factor in that additional part of the information. To calculate the total throughput, you should double that figure of 208 bits per second, because what is going on is not just verbal output but also recall. When I sing that fast I am both recalling at more than 208 bits per second and also singing at more than 208 bits per second. So the total throughput should be calculated as more than 416 bits per seconds. This is an output more than forty times greater than the "10 bits per second" figure cited by Meister and Zheng. I can also add additional throughput by dealing out playing cards in a line as I sing at the rate above.
John Moschitta Jr. demonstrated the ability to speak at a rate of about 50 characters per second, an output rate of more than 400 bits per second. Any guitarist or pianist simultaneously singing and playing at the fastest tempo will be producing throughput of 200 bits per second or more, often more than 400 bits per second. To calculate the total throughput, you would need to start by computing three different things: (1) the bits required for each word; (2) the bits required for each played note; (3) the bits required for each note sung. After making that calculation, you should double the result, to account not just for the auditory output, but the additional work of either recalling all the information or reading it from a musical score.
Meister and Zheng's claim about humans living at 10 bits per second is obviously nonsense that is wrong by a factor of very many times, wrong by at least 4000%, and probably very much more. Why would people want to claim that human mental performance is so many times slower than it is? To answer that question, we may consider the general tendency of biologists to make grotesque misrepresentations of human mental performance. Biologists and materialists are constantly trying to depict humans as mental performers vastly worse than humans are.
In a previous post I stated a rule:
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