Understanding addiction: Why your brain gets hooked on gambling
The brain of a gambling addict mimics that of a drug addict. But no outside chemicals are involved. How does that happen?
Maia Szalavitz is widely viewed as one of the premier American journalists covering addiction and drugs. A neuroscience writer for TIME.com and a former cocaine and heroin addict, she understands the science and its personal dimensions in a way that few others can. is the first book-length exposé of the "tough love" business that dominates addiction treatment. Her newest book is Unbroken Brain: A Revolutionary New Way of Understanding Addiction.
Maia Szalavitz: Addiction is: compulsive behavior despite negative consequences.
And it's really important to start by defining addiction because for a long time we really defined it very poorly.
We used to think that addiction was “needing a substance to function”.
And what that resulted in was that cocaine was “not addictive” because cocaine does not produce physical withdrawal that is noticeable. You may be cranky and irritable and crave cocaine, but you won't be puking and shaking and have the classic symptoms that you would see with alcohol or heroin withdrawal. So cocaine wasn't addictive.
Then crack came, and we realized that defining addiction in that way not only harms people by telling them that cocaine is not addictive, it also harmed pain patients because people who take opioids daily for pain will develop physical dependence, but they are not addicted unless they have compulsive behavior despite negative consequences.
To me, non-drug addictions are really, really interesting because some people have argued that drugs are addictive because they change the brain and that addiction results from unique pathology related to the particular chemicals of the drugs.
It is certainly the case that the chemistry matters, but addiction can occur completely without any external chemicals.
And the reason that that happens is that addiction is not simply exposure to a substance, addiction is a pattern of behavior, and certain patterns of experience are inherently addictive.
And gambling is a good example of this because what gambling does is it gives you intermittent reinforcement. And so every unpredictable amount of times, you win.
And this is a puzzle to our pattern-seeking brains, and we keep thinking we're going to find a pattern and it's going to sort out and we're going to understand it, and we're going to get rich. Or we find that sort of the constant immersion in these ideas that allow you to escape: “Well I've got to do—this is going to soothe you and allow you to escape from your life,” and stuff like this.
I think gambling is also really interesting because we've had an enormous explosion in the availability of gambling, but we have not had an enormous explosion of gambling addictions. ‘
And again, this is because the population rate— there's only a certain percent of people who will be vulnerable.
Now, you can make more of those people by traumatizing them and taking away their economic ways of living, but you can't create them by providing more substances or more addictive opportunities.
Author and neuroscience journalist Maia Szalavitz says that your brain doesn't necessarily choose to become addicted to gambling. Rather, it just really wants to figure out a pattern. This 'want' doesn't need any foreign chemicals in order to make it work. In the mind of a serious gambler, their brain wants to find order in the game's structure so bad that it will keep the person playing, telling itself that it will figure it out and that it's just one step away from becoming rich. This doesn't happen to everyone — on the contrary, addictive gamblers are a small yet potent percentage of all gamblers — but their brains mimic that of a severe drug addict trying to get their next fix. Maia's latest book is Unbroken Brain: A Revolutionary New Way of Understanding Addiction.
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Using machine-learning technology, the genealogy company My Heritage enables users to animate static images of their relatives.
- Deep Nostalgia uses machine learning to animate static images.
- The AI can animate images by "looking" at a single facial image, and the animations include movements such as blinking, smiling and head tilting.
- As deepfake technology becomes increasingly sophisticated, some are concerned about how bad actors might abuse the technology to manipulate the pubic.
My Heritage/Deep Nostalgia<p>But that's not to say the animations are perfect. As with most deep-fake technology, there's still an uncanny air to the images, with some of the facial movements appearing slightly unnatural. What's more, Deep Nostalgia is only able to create deepfakes of one person's face from the neck up, so you couldn't use it to animate group photos, or photos of people doing any sort of physical activity.</p>
My Heritage/Deep Nostalgia<p>But for a free deep-fake service, Deep Nostalgia is pretty impressive, especially considering you can use it to create deepfakes of <em>any </em>face, human or not. </p>
How long should one wait until an idea like string theory, seductive as it may be, is deemed unrealistic?
- How far should we defend an idea in the face of contrarian evidence?
- Who decides when it's time to abandon an idea and deem it wrong?
- Science carries within it its seeds from ancient Greece, including certain prejudices of how reality should or shouldn't be.
Plato used the allegory of the cave to explain that what humans see and experience is not the true reality.
Credit: Gothika via Wikimedia Commons CC 4.0<p>When scientists and mathematicians use the term <em>Platonic worldview</em>, that's what they mean in general: The unbound capacity of reason to unlock the secrets of creation, one by one. Einstein, for one, was a believer, preaching the fundamental reasonableness of nature; no weird unexplainable stuff, like a god that plays dice—his tongue-in-cheek critique of the belief that the unpredictability of the quantum world was truly fundamental to nature and not just a shortcoming of our current understanding. Despite his strong belief in such underlying order, Einstein recognized the imperfection of human knowledge: "What I see of Nature is a magnificent structure that we can comprehend only very imperfectly, and that must fill a thinking person with a feeling of humility." (Quoted by Dukas and Hoffmann in <em>Albert Einstein, The Human Side: Glimpses from His Archives</em> (1979), 39.)</p> <p>Einstein embodies the tension between these two clashing worldviews, a tension that is still very much with us today: On the one hand, the Platonic ideology that the fundamental stuff of reality is logical and understandable to the human mind, and, on the other, the acknowledgment that our reasoning has limitations, that our tools have limitations and thus that to reach some sort of final or complete understanding of the material world is nothing but an impossible, <a href="https://www.amazon.com/dp/B01K2JTGIA?tag=bigthink00-20&linkCode=ogi&th=1&psc=1" target="_blank" rel="noopener noreferrer">semi-religious dream</a>.</p>
A physicist creates an AI algorithm that predicts natural events and may prove the simulation hypothesis.
- Princeton physicist Hong Qin creates an AI algorithm that can predict planetary orbits.
- The scientist partially based his work on the hypothesis which believes reality is a simulation.
- The algorithm is being adapted to predict behavior of plasma and can be used on other natural phenomena.
Physicist Hong Qin with images of planetary orbits and computer code.
Credit: Elle Starkman
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The vaccine will shorten the "shedding" time.