Finally, some good news for the absent of mind. Forgetfulness is not a sign of early dementia and, no, you are not suffering from information overload. Turns out your brain is just doing its job. What's more, being forgetful may mean you're blessed (or cursed) with exceptional smarts.
Even the human brain, as superior as it is, can't do everything. In the interest of advancing the species through the kind of problem-solving that produces paradigm shifts like fire-building and the wheel, evolution seems to have randomly bestowed upon some people an uncommon ability to shed the small stuff. These people may or may not be regarded as smart by their peers in the "real" world — they aren't necessarily the first with the right answer on spelling tests, and they may not know how to do things as brain-dead simple as keeping a calendar and finding their keys. But they do score the highest on IQ tests.
I am one of those dysfunctional "smart" people. When I was 9, my mom broke the news (and swore me to keep the secret) that I had scored high on an IQ test. The parochial school I attended was bursting at the seams. A few future fourth-graders had been picked, based on that IQ test, to share a classroom with kids a year older. We were being groomed to skip a grade the following year.
The hoped-for outcome — that I would benefit from knowledge imparted on the other side of the classroom where the fifth-graders were — failed miserably. I spent fourth grade in a fog, unable to focus on my own lessons much less the older kids'. My parents moved me to an all-girls' school the following year. I arrived hopelessly behind in math, with barely legible penmanship and a lot of catching up to do.
What was no secret within my family were disturbing traits they did not associate with intelligence. I was feisty, fearful and extremely forgetful. Of course, we now know that "extreme" behavior goes with the territory when you have a high IQ. New brain science is finally figuring out why.
In a paper published in the journal "Neuron," University of Toronto neurobiologists Paul Frankland and Blake Richards lay out their thesis: "Based on principles from machine learning and computational neuroscience, we propose that it is the interaction between these two processes (i.e., persistence × transience) that optimizes memory-guided decisionmaking in changing and noisy environments. ...[O]nly by combining persistence (remembering) and transience (forgetting) can individuals exhibit flexible behavior and generalize past events to new experiences."
Those "noisy environments" include such places as chaotic classrooms. The "intelligent" brain not only tunes out the noise, it deletes it altogether. It has no way of knowing, especially if it belongs to a 9-year-old, what is important noise and what isn't, but it doesn't respond well to being told. It must decide on its own, through trial and error.
In artificial intelligence, this principle is called "regularization" and it works (or doesn't) through simple computer models that prioritize core information but eliminate specific details, allowing for wider application. Memories in the brain work in a similar way. When we only remember the gist of an encounter as opposed to every detail, this controlled forgetting of insignificant details creates simple memories that are more effective at predicting new experiences.