Yes, the Algorithm Really Rewards New Content

Here is the result of my experiment from the first of December.

In my last article, I asked the following question. Do your earnings increase as soon as you publish a new article, even if this article only attracts little interest?

Today, six days later, I can answer this question with all due caution with yes.

As a reminder, here again, is the article in which I present my thesis and the experiment designed to test it:

As we recall: in November, my average daily income from Medium articles was $2.65. I published only eleven articles in that month, and the last article in November came out on the twenty-fifth of November.

So, when I published the above article, nothing new had been posted by me for five days.

Since I expected a new article to increase my earnings by at least twenty percent on the day of publication, I should therefore make at least $3.18 on the day of the new article.

Then, on the second of December, I had the figures for the previous day. I had achieved daily earnings of $4.41. That was over 64 percent more than my daily average in November.

Twenty percent, which I had expected, could still be interpreted as a normal fluctuation, but we can speak of statistical significance at sixty-four percent.

The new article itself, however, had little part in this result. Only eighteen cents of the $4.41 went to the account of this article.

Thus I see the two premises of my thesis confirmed.

Premise 1: On days with a new article, earnings are significantly higher than those without publication.

Premise 2: This higher earnings results for the most part not from the new article itself, but from older articles that suddenly find more new readers again.

Another indication for the correctness of my thesis: Since the first of December, I have not published another article, and as a result, my daily average has dropped again to 2.19 dollars.

I am curious to see if my article today will again prove my thesis.

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