The Harvest Moon shone for two days before this year’s autumnal equinox on September 22nd. On the Tuesday, overtaken by its beauty, I powered my little car, puny engine whining and window open to the night, straight up the 25% grades of Marin Street and turned onto Grizzly Peak. Between the open window, the mirrors turned, and my unexpected departure at a time when the Albany mobbers are preparing for bed, it was almost quiet. Finally after a drive through the hills, I parked the car and sat in the stillness—the luminous moon to the left; the lights of the San Francisco Bay Bridge and the city beyond to my right. A half-hour, maybe even an hour later, a deer sauntered across the street before me as I started the drive down Centennial Drive, past the U.C. Berkeley campus, and across Berkeley.
I often power down the router when I leave the house. In Albany these last months, I’ve noticed this act can disrupt Airtool frame captures that usually continue when my machine is in monitor mode. In Albany now, my router does not provide an 802.11 network interface for wireless services. When I came back after looking at the moon, I noticed the break in the sequence of frames and the wireless extension frame that appeared as soon as I powered the Ethernet router and the Airtool capture continued. Since then, though I tend to conduct these captures for later analysis, I’m noticing others.
After writing the last entry, The mobbers’ “World Wireless System” and hate culture in Albany, California (part 1), the harassment from the house of the lowlife intensified. The lowlife are getting ready for Halloween, decorating the front of their house by day, and flooding my house with noxious sound by night—and by day too, actually, so it goes. I haven’t picked up on the partially written continuation of “The mobbers’ ‘World Wireless System’ and hate culture in Albany” yet; perhaps I’ll talk more about this screenshot showing the wireless extension frame when I do.
And as for some explanation on the title of this short entry, the perpetrators of digital and IoT crimes like mobbing appear to believe that they cannot be caught because their crimes are invisible. They are wrong. And with good investigatory work from an interested city and police force, racketeering crimes like mobbing that rely on bias, defamation, kickbacks and influence peddling, would not require victims to search for digital proof.
