In the project Each Tweet Counts (2012), the computational sublime arises from considering the simplicity of a 140-character statement when expanded to all possible tweet combinations. There are 95 possible ASCII characters that can be used in a tweet. At a rate of 1 tweet per minute (TPM) it will take a little less than 155 years to complete all possible tweet combinations up to a length of 4 characters. To calculate all tweets up to a length 140 characters, the total number of combinations is 95140, a quite sizeable number:

7608599781118356298135408710751483265995839561200415768293251897463276887905308084750663238388192091262455112983664085632015778607866277286667119278691334591691395102241018148609396820768967497516903602766888745368135114497853537865999264122596201787018799223005771636962890625

With a single 2.5 GHz computer calculating at 2,500,000,000 tweets per second, it will take the following number of years to complete all possible tweet combinations:

96506846538791936810444047574219726864482997985799286761710450246870584575156114722864830522427601360508055720239270492542057059967862471926269904600346709686598111393214334710925885600824042332786702216728675106140729509105194544216124608353579423985525104299

Meanwhile, a larger issue is that the estimated number of atoms in the observable universe is between 4×1079 and 1081. The latter number in long form:

1000000000000000000000000000000000000000000000000000000000000000000000000000000000

This, humble by comparison, number means that not only are there more possible tweet combinations than atoms in the universe, but that there aren’t enough atoms in the entire universe to store every possible tweet. Through a brute force approach, the Each Tweet Counts bot will conceptually-eventually produce the totality of all possible ASCII-based tweets – a number greater than the atoms in the known universe. To date the bot is approaching 1,000,000 tweets at a rate of 1 tweet per 2 minutes, .5 TPM, which is also the maximum TPM rate allowed by the Twitter API.

Visit Each Tweet Counts project page.