Getting outside – without your phone – is one way to disconnect.

With some simple lifestyle changes, you can lower your risk of osteoporosis.

Research suggests that cats can learn words, sometimes faster than a human baby.

I could be biased, but sex with transmasculine people is fantastic. A warning up front: this article is not safe for work, unless it’s your very first day at the ...

The post Your Guide To Enjoying Transmasculine Sex appeared first on Star Observer.

Researchers in Montreal are pointing to the benefits of bilingualism for the brain's health and efficiency — suggesting it could even help prevent diseases associated with aging, including Alzheimer's.

After briefly offering a transparent Steam Deck OLED last year, Valve has announced its next limited edition variant featuring a bold new color: "white." It'll cost you $679 when it's available on November 18, and it features the exact same hardware as the 1TB Steam Deck OLED. (Most importantly, it sports that gorgeous 7.4-inch display with HDR and a 90Hz refresh rate). There's also a white carrying case, naturally. While the perils of white console hardware are hard to ignore (especially for a hefty portable that'll surely trap plenty of hand grease), this new variant may convince early Steam Deck owners to make the jump. 

As we covered in our review, the Steam Deck OLED's display looks significantly bolder than the original LCD models, especially with the addition of HDR support. This time around, Valve says it's also shipping the limited edition white model worldwide where Steam Decks are already available (including Australia).

"We're curious to see what the response is, and will use what we learn to inform future decisions about any potential new color variants down the line," Valve said in an e-mail. "We've always said our intent is to continually work on improving Steam Deck, and that's true from both a software perspective (continuing to ship improvements) and a hardware one (Steam Deck OLED, as well as ongoing work toward the future of Steam Deck and other hardware plans)."

“Magic mirror in the hand, who has the most wrinkles in the land?” has transcended from Snow White to 21st century camera technology.

No, but the direction of our hair whorls could teach us about human development

Put your own spin on a zoetrope with homemade drawings—or carve one into a pumpkin

People are really stressed about the U.S. presidential election. A psychiatrist offers several self-help methods to reduce feelings of despair

The good folks down at eyeforpharma have asked me to write a few blog posts in the run-up to their Patient Centered Clinical Trials conference in Boston this September. In my second article -Buzzword Innovation: The Patient Centricity “Fad” and the Token Patient - I went over some concerns I have regarding the sudden burst of enthusiasm for patient centricity in the clinical trial world.

Apparently, that hit a nerve – in an email, Ulrich Neumann tells me that “your last post elicited quite a few responses in my inbox (varied, some denouncing it as a fad, others strongly protesting the notion, hailing it as the future).”

In preparing my follow up post, I’ve spoken to a couple people on the leading edge of patient engagement:

• Abbe Steel, CEO of HealthiVibe, which is focused on bringing greater patient input into the earliest stages of trial design through focus groups and patient surveys
• Casey Quinlan, co-founder of Patients for Clinical Research, which aims to be a force in patient education and engagement for clinical trials

To get a better idea of what other folks think of the idea, I am sending out a little ad hoc survey. Only 4 questions (so people hopefully do it). Added benefit: There is a massive 50% one-time discount for completed surveys until Friday connected to it as an incentive).

1. Complete the survey and share your thoughts
2. Come to the conference and tell us all exactly what you think

Your daily light exposure impacts your health. A new study finds that too much light at night and not enough natural light during the day can be harmful. This story first aired on Morning Edition on Nov. 4, 2024.

Nearly every day since she was a child, Alex Leow, a psychiatrist and computer scientist at the University of Illinois Chicago, has played the piano. Some days she plays well, and other days her tempo lags and her fingers hit the wrong keys. Over the years, she noticed a pattern: How well she plays depends on her mood. A bad mood or lack of sleep almost always leads to sluggish, mistake-prone music.

In 2015, Leow realized that a similar pattern might be true for typing. She wondered if she could help people with psychiatric conditions track their moods by collecting data about their typing style from their phones. She decided to turn her idea into an app.

After conducting a pilot study, in 2018 Leow launched BiAffect, a research app that aims to understand mood-related symptoms of bipolar disorder through keyboard dynamics and sensor data from users’ smartphones. Now in use by more than 2,700 people who have volunteered their data to the project, the app tracks typing speed and accuracy by swapping the phone’s onscreen keyboard with its own nearly identical one.

The software then generates feedback for users, such as a graph displaying hourly keyboard activity. Researchers get access to the donated data from users’ phones, which they use to develop and test machine learning algorithms that interpret data for clinical use. One of the things Leow’s team has observed: When people are manic—a state of being overly excited that accompanies bipolar disorder—they type “ferociously fast,” says Leow.

Compared to a healthy user [top], a person experiencing symptoms of bipolar disorder [middle] or depression [bottom] may use their phone more than usual and late at night. BiAffect measures phone usage and orientation to help track those symptoms. BiAffect

BiAffect is one of the few mental-health apps that take a passive approach to collecting data from a phone to make inferences about users’ mental states. (Leow suspects that fewer than a dozen are currently available to consumers.) These apps run in the background on smartphones, collecting different sets of data not only on typing but also on the user’s movements, screen time, call and text frequency, and GPS location to monitor social activity and sleep patterns. If an app detects an abrupt change in behavior, indicating a potentially hazardous shift in mental state, it could be set up to alert the user, a caretaker, or a physician.

Such apps can’t legally claim to treat or diagnose disease, at least in the United States. Nevertheless, many researchers and people with mental illness have been using them as tools to track signs of depression, schizophrenia, anxiety, and bipolar disorder. “There’s tremendous, immediate clinical value in helping people feel better today by integrating these signals into mental-health care,” says John Torous, director of digital psychiatry at Beth Israel Deaconess Medical Center, in Boston. Globally, one in 8 people live with a mental illness, including 40 million with bipolar disorder.

These apps differ from most of the more than 10,000 mental-health and mood apps available, which typically ask users to actively log how they’re feeling, help users connect to providers, or encourage mindfulness. The popular apps Daylio and Moodnotes, for example, require journaling or rating symptoms. This approach requires more of the user’s time and may make these apps less appealing for long-term use. A 2019 study found that among 22 mood-tracking apps, the median user-retention rate was just 6.1 percent at 30 days of use.

App developers are trying to avoid the pitfalls of previous smartphone-psychiatry startups, some of which oversold their capabilities before validating their technologies.

But despite years of research on passive mental-health apps, their success is far from guaranteed. App developers are trying to avoid the pitfalls of previous smartphone psychiatry startups, some of which oversold their capabilities before validating their technologies. For example, Mindstrong was an early startup with an app that tracked taps, swipes, and keystrokes to identify digital biomarkers of cognitive function. The company raised US $160 million in funding from investors, including $100 million in 2020 alone, and went bankrupt in February 2023.

Mindstrong may have folded because the company was operating on a different timeline from the research, according to an analysis by the health-care news website Stat. The slow, methodical pace of science did not match the startup’s need to return profits to its investors quickly, the report found. Mindstrong also struggled to figure out the marketplace and find enough customers willing to pay for the service. “We were first out of the blocks trying to figure this out,” says Thomas Insel, a psychiatrist who cofounded Mindstrong.

Now that the field has completed a “hype cycle,” Torous says, app developers are focused on conducting the research needed to prove their apps can actually help people. “We’re beginning to put the burden of proof more on those developers and startups, as well as academic teams,” he says. Passive mental-health apps need to prove they can reliably parse the data they’re collecting, while also addressing serious privacy concerns.

Passive sensing catches mood swings early

A crucial component of managing psychiatric illness is tracking changes in mental states that can lead to more severe episodes of the disease. Bipolar disorder, for example, causes intense swings in mood, from extreme highs during periods of mania to extreme lows during periods of depression. Between 30 and 50 percent of people with bipolar disorder will attempt suicide at least once in their lives. Catching early signs of a mood swing can enable people to take countermeasures or seek help before things get bad.

But detecting those changes early is hard, especially for people with mental illness. Observations by other people, such as family members, can be subjective, and doctor and counselor sessions are too infrequent.

That’s where apps come in. Algorithms can be trained to spot subtle deviations from a person’s normal routine that might indicate a change in mood—an objective measure based on data, like a diabetic tracking blood sugar. “The ability to think objectively about my own thinking is really key,” says retired U.S. major general Gregg Martin, who has bipolar disorder and is an advisor for BiAffect.

The data from passive sensing apps could also be useful to doctors who want to see objective data on their patients in between office visits, or for people transitioning from inpatient to outpatient settings. These apps are “providing a service that doesn’t exist,” says Colin Depp, a clinical psychologist and professor at the University of California, San Diego. Providers can’t observe their patients around the clock, he says, but smartphone data can help close the gap.

Depp and his team have developed an app that uses GPS data and microphone-based sensing to determine the frequency of conversations and make inferences about a person’s social interactions and isolation. The app also tracks “location entropy,” a metric of how much a user moves around outside of routine locations. When someone is depressed and mostly stays home, location entropy decreases.

Depp’s team initially developed the app, called CBT2go, as a way to test the effectiveness of cognitive behavioral therapy in between therapy sessions. The app can now intervene in real time with people experiencing depressive or psychotic symptoms. This feature helps people identify when they feel lonely or agitated so they can apply coping skills they’ve learned in therapy. “When people walk out of the therapist’s office or log off, then they kind of forget all that,” Depp says.

Another passive mental-health-app developer, Ellipsis Health in San Francisco, uses software that takes voice samples collected during telehealth calls to gauge a person’s level of depression, anxiety, and stress symptoms. For each set of symptoms, deep-learning models analyze the person’s words, rhythms, and inflections to generate a score. The scores indicate the severity of the person’s mental distress, and are based on the same scales used in standard clinical evaluations, says Michael Aratow, cofounder and chief medical officer at Ellipsis.

Aratow says the software works for people of all demographics, without needing to first capture baseline measures of an individual’s voice and speech patterns. “We’ve trained the models in the most difficult use cases,” he says. The company offers its platform, including an app for collecting the voice data, through health-care providers, health systems, and employers; it’s not directly available to consumers.

In the case of BiAffect, the app can be downloaded for free by the public. Leow and her team are using the app as a research tool in clinical trials sponsored by the U.S. National Institutes of Health. These studies aim to validate whether the app can reliably monitor mood disorders, and determine whether it could also track suicide risk in menstruating women and cognition in people with multiple sclerosis.

BiAffect’s software tracks behaviors like hitting the backspace key frequently, which suggests more errors, and an increase in typing “@” symbols and hashtags, which suggest more social media use. The app combines this typing data with information from the phone’s accelerometer to determine how the user is oriented and moving—for example, whether the user is likely lying down in bed—which yields more clues about mood.

Ellipsis Health analyzes audio captured during telehealth visits to assign scores for depression, anxiety, and stress.Ellipsis Health

The makers of BiAffect and Ellipsis Health don’t claim their apps can treat or diagnose disease. If app developers want to make those claims and sell their product in the United States, they would first have to get regulatory approval from the U.S. Food and Drug Administration. Getting that approval requires rigorous and large-scale clinical trials that most app makers don’t have the resources to conduct.

Digital-health software depends on quality clinical data

The sensing techniques upon which passive apps rely—measuring typing dynamics, movement, voice acoustics, and the like—are well established. But the algorithms used to analyze the data collected by the sensors are still being honed and validated. That process will require considerably more high-quality research among real patient populations.

Greg Mably

For example, clinical studies that include control or placebo groups are crucial and have been lacking in the past. Without control groups, companies can say their technology is effective “compared to nothing,” says Torous at Beth Israel.

Torous and his team aim to build software that is backed by this kind of quality evidence. With participants’ consent, their app, called mindLAMP, passively collects data from their screen time and their phone’s GPS and accelerometer for research use. It’s also customizable for different diseases, including schizophrenia and bipolar disorder. “It’s a great starting point. But to bring it into the medical context, there’s a lot of important steps that we’re now in the middle of,” says Torous. Those steps include conducting clinical trials with control groups and testing the technology in different patient populations, he says.

How the data is collected can make a big difference in the quality of the research. For example, the rate of sampling—how often a data point is collected—matters and must be calibrated for the behavior being studied. What’s more, data pulled from real-world environments tends to be “dirty,” with inaccuracies collected by faulty sensors or inconsistencies in how phone sensors initially process data. It takes more work to make sense of this data, says Casey Bennett, an assistant professor and chair of health informatics at DePaul University, in Chicago, who uses BiAffect data in his research.

One approach to addressing errors is to integrate multiple sources of data to fill in the gaps—like combining accelerometer and typing data. In another approach, the BiAffect team is working to correlate real-world information with cleaner lab data collected in a controlled environment where researchers can more easily tell when errors are introduced.

Who participates in the studies matters too. If participants are limited to a particular geographic area or demographic, it’s unclear whether the results can be applied to the broader population. For example, a night-shift worker will have different activity patterns from those with nine-to-five jobs, and a city dweller may have a different lifestyle from residents of rural areas.

After the research is done, app developers must figure out a way to integrate their products into real-world medical contexts. One looming question is when and how to intervene when a change in mood is detected. These apps should always be used in concert with a professional and not as a replacement for one, says Torous. Otherwise, the app’s assessments could be dangerous and distressing to users, he says.

When mood tracking feels like surveillance

No matter how well these passive mood-tracking apps work, gaining trust from potential users may be the biggest stumbling block. Mood tracking could easily feel like surveillance. That’s particularly true for people with bipolar or psychotic disorders, where paranoia is part of the illness.

Keris Myrick, a mental-health advocate, says she finds passive mental-health apps “both cool and creepy.” Myrick, who is vice president of partnerships and innovation at the mental-health-advocacy organization Inseparable, has used a range of apps to support her mental health as a person with schizophrenia. But when she tested one passive sensing app, she opted to use a dummy phone. “I didn’t feel safe with an app company having access to all of that information on my personal phone,” Myrick says. While she was curious to see if her subjective experience matched the app’s objective measurements, the creepiness factor prevented her from using the app enough to find out.

Keris Myrick, a mental-health advocate, says she finds passive mental-health apps “both cool and creepy.”

Beyond users’ perception, maintaining true digital privacy is crucial. “Digital footprints are pretty sticky these days,” says Katie Shilton, an associate professor at the University of Maryland focused on social-data science. It’s important to be transparent about who has access to personal information and what they can do with it, she says.

“Once a diagnosis is established, once you are labeled as something, that can affect algorithms in other places in your life,” Shilton says. She cites the misuse of personal data in the Cambridge Analytica scandal, in which the consulting firm collected information from Facebook to target political advertising. Without strong privacy policies, companies producing mental-health apps could similarly sell user data—and they may be particularly motivated to do so if an app is free to use.

Conversations about regulating mental-health apps have been ongoing for over a decade, but a Wild West–style lack of regulation persists in the United States, says Bennett of DePaul University. For example, there aren’t yet protections in place to keep insurance companies or employers from penalizing users based on data collected. “If there aren’t legal protections, somebody is going to take this technology and use it for nefarious purposes,” he says.

Some of these concerns may be mediated by confining all the analysis to a user’s phone, rather than collecting data in a central repository. But decisions about privacy policies and data structures are still up to individual app developers.

Leow and the BiAffect team are currently working on a new internal version of their app that incorporates natural-language processing and generative AI extensions to analyze users’ speech. The team is considering commercializing this new version in the future, but only following extensive work with industry partners to ensure strict privacy safeguards are in place. “I really see this as something that people could eventually use,” Leow says. But she acknowledges that researchers’ goals don’t always align with the desires of the people who might use these tools. “It is so important to think about what the users actually want.”

This article appears in the July 2024 print issue as “The Shrink in Your Pocket.”

Elemind, a 5-year-old startup based in Cambridge, Mass., today unveiled a US $349 wearable for neuromodulation, the company’s first product. According to cofounder and CEO Meredith Perry, the technology tracks the oscillation of brain waves using electroencephalography (EEG) sensors that detect the electrical activity of the brain and then influence those oscillations using bursts of sound delivered via bone conduction.

Elemind’s first application for this wearable aims to suppress alpha waves to help induce sleep. There are other wearables on the market that monitor brain waves and, through biofeedback, encourage users to actively modify their alpha patterns. Elemind’s headband appears to be the first device to use sound to directly influence the brain waves of a passive user.

In a clinical trial, says Perry [no relation to author], 76 percent of subjects fell asleep more quickly. Those who did see a difference averaged 48 percent less time to progress from awake to asleep. The results were similar to those of comparable trials of pharmaceutical sleep aids, Perry indicated.

“For me,” Perry said, “it cuts through my rumination, quiets my thinking. It’s like noise cancellation for the brain.”

I briefly tested Elemind’s headband in May. I found it comfortable, with a thick cushioned band that sits across the forehead connected to a stretchy elastic loop to keep it in place. In the band are multiple EEG electrodes, a processor, a three-axis accelerometer, a rechargeable lithium-polymer battery, and custom electronics that gather the brain’s electrical signals, estimate their phase, and generate pink noise through a bone-conduction speaker. The whole thing weighs about 60 grams—about as much as a small kiwi fruit.

My test conditions were far from optimal for sleep: early afternoon, a fairly bright conference room, a beanbag chair as bed, and a vent blowing. And my test lasted just 4 minutes. I can say that I didn’t find the little bursts of pink noise (white noise without the higher frequencies) unpleasant. And since I often wear an eye mask, feeling fabric on my face wasn’t disturbing. It wasn’t the time or place to try for sound sleep, but I—and the others in the room—noted that after 2 minutes I was yawning like crazy.

How Elemind tweaks brain waves

What was going on in my brain? Briefly, different brain states are associated with different frequencies of waves. Someone who is relaxed with eyes closed but not asleep produces alpha waves at around 10 hertz. As they drift off to sleep, the alpha waves are supplanted by theta waves, at around 5 Hz. Eventually, the delta waves of deep sleep show up at around 1 Hz.

Ryan Neely, Elemind’s vice president of science and research, explains: “As soon as you put the headband on,” he says, “the EEG system starts running. It uses straightforward signal processing with bandpass filtering to isolate the activity in the 8- to 12-Hz frequency range—the alpha band.”

“Then,” Neely continues, “our algorithm looks at the filtered signal to identify the phase of each oscillation and determines when to generate bursts of pink noise.”

To help a user fall asleep more quickly [top], bursts of pink noise are timed to generate a brain response that is out of phase with alpha waves and so suppresses them. To enhance deep sleep [bottom], the pink noise is timed to generate a brain response that is in phase with delta waves.Source: Elemind

These auditory stimuli, he explains, create ripples in the waves coming from the brain. Elemind’s system tries to align these ripples with a particular phase in the wave. Because there is a gap between the stimulus and the evoked response, Elemind tested its system on 21 people and calculated the average delay, taking that into account when determining when to trigger a sound.

To induce sleep, Elemind’s headband targets the trough in the alpha wave, the point at which the brain is most excitable, Neely says.

“You can think of the alpha rhythm as a gate for communication between different areas of the brain,” he says. “By interfering with that communication, that coordination between different brain areas, you can disrupt patterns, like the ruminations that keep you awake.”

With these alpha waves suppressed, Neely says, the slower oscillations, like the theta waves of light sleep, take over.

Elemind doesn’t plan to stop there. The company plans to add an algorithm that addresses delta waves, the low-frequency 0.5- to 2-Hz waves characteristic of deep sleep. Here, Elemind’s technology will attempt to amplify this pattern with the intent of improving sleep quality.

Is this safe? Yes, Neely says, because auditory stimulation is self-limiting. “Your brain waves have a natural space they can occupy,” he explains, “and this stimulation just moved it within that natural space, unlike deep-brain stimulation, which can move the brain activity outside natural parameters.”

Going beyond sleep to sedation, memory, and mental health

Applications may eventually go beyond inducing and enhancing sleep. Researchers at the University of Washington and McGill University have completed a clinical study to determine if Elemind’s technology can be used to increase the pain threshold of subjects undergoing sedation. The results are being prepared for peer review.

Elemind is also working with a team involving researchers at McGill and the Leuven Brain Institute to determine if the technology can enhance memory consolidation in deep sleep and perhaps have some usefulness for people with mild cognitive impairment and other memory disorders.

Neely would love to see more applications investigated in the future.

“Inverse alpha stimulation [enhancing instead of suppressing the signal] could increase arousal,” he says. “That’s something I’d love to look into. And looking into mental-health treatment would be interesting, because phase coupling between the different brain regions appears to be an important factor in depression and anxiety disorders.”

Perry, who previously founded the wireless power startup UBeam, cofounded Elemind with four university professors with expertise in neuroscience, optogenetics, biomedical engineering, and artificial intelligence. The company has $12 million in funding to date and currently has 13 employees.

Preorders at $349 start today for beta units, and Elemind expects to start general sales later this year. The company will offer customers an optional membership at $7 to $13 monthly that will allow cloud storage of sleep data and access to new apps as they are released.

Singapore's food culture is legendary, with staples such as chicken rice, bak chor mee, laksa, and roti prata feeding generations of locals and visitors alike. But there's one thing they all have in common — carbs! In carb-crazy Singapore, sticking to a keto diet might seem like a gone case and borderline sacrilegious, but trust me, it's doable. I've been through it, and I'm here to share my tips on how you can enjoy our local food scene while staying keto. What is keto? In case you blur about what a ketogenic (keto) diet is, it's all about cutting carbs and eating more fat. Yup, you read that right — more fat. Sounds shiok, right? The goal is to push your body into ketosis, where instead of burning carbs for energy, it burns fat. Hello, weight loss! Beyond that, keto helps you avoid those pesky post-meal sugar crashes — you know, the ones that make want to toh after a heavy meal. My keto experience I first tried keto as a teen, thinking it was just about cutting out rice, bread, and noodles. Wrong! Keto is stricter than that. To stay in ketosis, you've got to limit your carbs to just 20-50g a day.

Dec 21, 2023

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I illustrate the dramatic difference in perception of the protests between news reports and on-the-scene live-streams

This week, I want to talk about corporations using global tragedy to “get their brand name out there” and otherwise profiteer off of human misery.

Hi everybody.

The question I get most is: "Where do you get your ideas?"

Generally, when I'm asked this question, it's at a book event where it's difficult to answer, because… Well, the answer is long, and complicated, and hard to pin down, and most of the time, I don't really remember how it happened. When an idea starts to arrive, I get to work. I'm not paying attention to how it's happening, or how it would look to an outsider. 

But — a few weeks ago, a new book idea started knocking on the door of my mind. And this time, I decided to pay attention!

What follows is probably the most detailed explanation I'll ever give of where my ideas come from. More specifically, where this particular idea came from, because it's not always the same. But my experience of the past few weeks has been fairly typical for me, and I'll add that there are a few activities I need to engage in every single time, if I want an idea to take root. Namely: PATIENCE. LISTENING. And, LABOR. Book ideas require a certain honed receptiveness, and they require a LOT OF WORK. 

I'm yelling because I'm trying to push back against the idea that ideas simply come to writers. Yes, some parts of ideas come to writers. But when I first get a book idea, what "comes to me" probably comprises about 0.1% of what could properly be called a book idea. Often, it's little more than an inchoate feeling. With patience, listening, and labor, I transform the idea into something I can grasp, and work with.

I'll add that yes, we do hear sometimes of writers whose ideas "simply came to them," fully formed. I'm going to take a guess that (1) this doesn't happen very often, if ever, with books that have complicated structures or plots, and (2) writers who are blessed by ideas in this way probably have a long-honed practice of receptiveness.

Anyway. Warning upfront that this may be a little unstructured, because the process is a little unstructured. It's challenging to describe, and I'm still in the middle of it. But here's what my last few weeks have been like.

A few weeks ago, while watching a TV show that had a certain mood/aura that'd really sucked me in, I found myself drawn to the idea of a story involving three characters. I'm not going to tell you what TV show I was watching, and I'm not going to tell you anything about my three characters, because story ideas are intensely, intensely private. The first time I say anything publicly about it will probably be years from now, if and when this book is ever scheduled for release. But let me try to explain a bit about that moment when the first glimmering of the idea appeared. 

Like I said, I'd been watching a TV show when it happened. But my three characters weren't characters in that TV show. Nor did anyone in that TV show relate to each other the way my three characters seemed to want to relate. Nor did my three characters seem to live in a world like the world of the TV show. The TV show helped to launch the idea at me because of the show's mood and its feeling, and how much I cared about the people in it. But my idea? As is often the case, my idea came from something I saw missing in the TV show. Not missing because there was a flaw in the TV writers' story; I loved their story! But missing (for me and possibly only me) because their story was not the story I would have told.

I think that a lot of my idea seeds come from my adoration of other people's stories, but also from my noticing what's missing in those stories, for me. What story I would've like to have seen told; what characters the story lacked.

Anyway. So this idea of these three characters came to me. But when I say "idea of these three characters," already that sounds more substantial than it was. I knew they were three humans (or humanoids; I didn't know what genre the story was, so they could've been aliens on another planet, for all I knew. In fact, I actively considered whether they might have different biology than ours). I knew they cared about each other, but I didn't know in what way. I knew they were facing a challenge that would strain all of their relationships. I thought they might be grown-ups, but I wasn't sure. I thought I knew at least two of their genders, but I wasn't sure. I knew they lived in a world with magic, but I didn't know what "magic" meant in the context of their world. I didn't know where they lived, or when they lived (past? future? futuristic past? postindustrial future? any of about a hundred other possibilities). I knew a whole lot of things that the characters weren't, and that the world wasn't — which is another way of saying that my sense of what this story was was actually more defined by all the things I knew it wasn't. (Apologies if this is vague. I'm not being intentionally vague! I'll try for some concrete examples: I knew I didn't want to write a story where partway through, someone suddenly discovers they have an inborn power they didn't know they had. I knew I didn't want to write a love triangle. There's a certain kind of high-handed fantasy tone that I knew wasn't right for this story. But I didn't know what I did want yet at this point.)

Really, all I knew was that I seemed to be having an idea.

So, like a writer, I did what I needed to do: 

• I made space in my mind for receptiveness. (I scheduled uninterruptable alone time. I stopped listening to podcasts while I was out walking, and instead, just walked, so my mind could wander. I put aside non-urgent tasks for a while so that I didn't have the feeling of a to-do list hanging over my head. I gave myself permission to wool-gather, to become vague and absent-minded. I set three timers any time I cooked anything so I could feel free to forget I was cooking, but also not burn the house down. I remembered to thank my husband frequently for being willing to live with a space cadet.)
• I thought about what fertilizer might help the idea to grow, especially fertilizer in the form of books, TV, and movies. I put all other books, TV, and movies aside. (I kept watching that same TV show, and I also began reading almost exclusively one writer who had a narrative tone — and also subject matter — that helped me sustain a mood that felt concurrent with the mood of my own idea. Why does this kind of intake help? It keeps my mind in a story space, while also giving me something to bounce my own ideas off of. It's a kind of reading, or watching, that involves a state of constant interactivity and reactivity. Everything I'm consuming becomes about something else that I'm looking for. It's difficult to explain, maybe because it gets back to that inexplicable moment when new ideas form.)
• I made sure that every single time I had any new thoughts relating to my idea, I wrote them down. (This meant making reminders on my phone; sending strings of emails to myself; choosing a notebook where I began to jot things down; sending texts to myself on my husband's phone, if his phone was closer to hand than mine.)
• I looked at my schedule to give myself a sense of if and when I might have a few days soon to put my current writing project aside and give some true, devoted time to this new idea. (I was, and still am, in the middle of revisions of the next Graceling Realm book when this happened, and that was, and still is, my absolute first priority. As exciting and intense as a new idea can be, it can't unseat me from my current object of devotion.)

By chance, last week, I did in fact have some time away from my revision while it was briefly with my editor. I was able to devote an entire week to the new book idea. So, next, I'll try to describe what a week of intense idea-gathering looks like for me! (Though I should say that this will differ from book to book. It's been pretty clear to me from the beginning that this new idea is going to be slow to grow — planning this book will take way more than a week. In contrast, last fall, I found myself with a new and sudden book idea that coincided with the end of another project, so I had some free time and was able to sit down and hammer out the entire book plan, which took only a few days. I think this is because that book was shorter and less emotionally complicated than this new book will be, and was set in a less complex world. Also, at the time, I was absolutely thrumming with the adrenaline and momentum of having just finished a writing project, so book-planning became a way to channel that energy. Often these processes are subject to whatever else is going on in my life.)

So. My week of intense idea-gathering looked a lot like what I've already described — reading, watching TV, but now also with long hours of sitting staring at a blank page and/or lying on my back staring at the ceiling — but with a more specific goal. Namely, I was trying to figure out what my main questions were. For me, every book starts (and continues, as I write) with an extremely long list of questions that I'm trying to find the answers to, but it takes work to figure out what the questions are. The questions can be very different from book to book. And it's essential, at the beginning, to identify what the main questions are.

When I'm first idea-gathering, I use very short notebooks in which I scribble down all my random thoughts as they come (I like using these twenty-page notebooks from Laughing Elephant, because they're short enough not to feel intimidatingly important). Then I have one longer, thicker notebook which is for my more coherent thoughts — my more serious book planning. During my week of active idea-gathering, I came up with the following list of major questions, worthy of being written down in my thick, "serious" planning notebook:

MAJOR QUESTIONS.

• What is magic?
• How does bad human behavior manifest in this world? (for real *)
• Where/what culture does each of them come from? What family?
• How is society governed?
• Who is each of them — as a person and as a power manifestation?
• How is the narrative positioned?
• What is the plot?
• How do humans relate to the rest of the natural world?
• What is gender? (for real *)

* and by societal definition

As I began to hammer out my questions, I continued to read, watch things, and wool-gather, but with more intense focus. Because now I was also trying to answer these questions as they came. It was interesting to observe the order in which I began to find the answers. Not surprisingly, probably since my novels tend to be character-based, it was the character-based questions that drew me in first. “What is gender" in particular, because I have a sense that in this story, my characters' relationships to gender are absolutely integral to who they are, and I can’t get very far with a book plan if I don’t know who my characters are. I also started to gather some clues about their personalities and their strengths. Enough that after a couple of days, I got to the point where I suddenly knew I needed their names. Names ground everything, and they can also change some things; at a certain point, I can't make any further progress without names. I spent one entire day last week mostly just trying to figure out three people's names. Once I had the names, I was able to return to my questions.

Then, not too long after that, a moment arose where I knew, again quite suddenly, that what I needed next was at least the broad strokes of a plot. If I’m a little scornful about the concept of inspiration — because it’s a concept that dismisses how hard I work! — I do believe in intuition, and also in experience. Intuition and experience told me that I'd reached the point in my planning where the needs of my plot would hold the answer to a lot of my other questions. Like, how this place is governed; what constitutes bad behavior; and even some character things, like what culture each of my characters is from. Sometimes, once you know what needs to happen in a story, it becomes easier to picture the structure of your world. Because a plot comes with needs; once a plot exists, it limits some of your other options. For example, let's say your plot involves a particular kind of government-based corruption. Well, thinking about that corruption will probably start to show you some of your options for the structure of the government. Once you know the structure of the government, you might begin to understand who holds governmental power — which can lead to answers about how families are structured. Which can lead to answers about culture, which can lead to answers about the societal definition of bad behavior, etc.

So. I reached the point where I needed at least a sense of my plot. But: plotting is a HUGE job. I knew it wasn't something I could do in just a few days, and at this point I also knew that I was going to need to return to my revision soon. So, intuition told me that it was time to stop. Not stop being receptive; not necessarily stop reading or watching the helpful things; not stop sending myself emails, texts, and reminders; but stop trying to make any real, meaty, major progress on this book idea. I needed to save the job of plotting for when I next had a stretch of uninterrupted worktime. Maybe another free week or two somewhere, between other projects.

So, I did some final organizing of my notebook. I transferred things into it from other notebooks and I designating a huge number of empty pages in it for future plot thoughts and future character thoughts. I did this even though in this book, as in most of my books, I sense that character and plot will ultimately end up being the same thing, so it's not going to matter much which thoughts I file where. (In other words, most of my plot is going to spring from who my characters are, and many of my characters will spring from the needs of the plot.) But at this messy stage in planning, it's important to me to feel organized. The illusion of organization stops me from feeling as overwhelmed as I probably should be feeling. So I label things, and delude myself that I can contain this messy process inside a nice neat notebook ????. 

I organized my notebook, and then I put it aside. Today I'm still open to thoughts about my new book idea, but it's not my entire worklife anymore... it's more of a promise for the future. It'll probably be good to have it simmering on the back burner for a while. I'll be able to approach it with a new freshness when I sit down with it again one day.

So. I'm not sure how satisfyingly I've answered the question "Where do you get your ideas?" After all, this idea is still very much in progress. I figured out a lot of stuff last week, but mostly what I figured out is a long list of all the things I don't know yet. There will be many, many more workweeks to go before I'll be able to claim that I truly have an idea for a book. 

But this is my best shot at an answer to the question of where my ideas come from! I guess the point I want to convey is this: I don’t necessarily believe in inspiration. But I believe that sometimes a writer will start to get the merest sense of a story that's missing from the world, and find herself wanting to write that story. At that point, if circumstance allows her the time and space to enter a state that is extremely internally-focused and possibly involves a lot of intake (reading, watching other stories), or if not that, at least an extreme level of sensitivity and receptiveness, of seeing, of listening... And if she puts in the work… her idea-seed will start to take root, and grow into a real, workable idea that might one day be the beginnings of a book! 

And of course, every writer does this differently. Many writers don't plan or plot ahead of time. They figure out the idea as they write. So there's no right or wrong way to do it. 

But this is my best explanation of how I do it.

Godspeed to all writers.

One year ago, Google Registry released the .ing top-level domain.

If you’ve ever wished for “precioussss” versions of Gollum & Sméagol figures that capture every conflicted, crawling moment, look no further! Asmus and Sideshow have just dropped two stunning sixth scale figures, bringing The Lord of the Rings’ most tragic character to life. And thanks to Asmus, this marks an epic return to Middle-earth collectibles after a dark pandemic pause. In the words of Andy Hsu, Director of Asmus Toys: “Characters that were promised, were anticipated, that were wished for, are now back on the menu!”

Starting with Gollum: this 20 cm figure has over 22 points of articulation for all those sinister, slinking poses we know and love. With a smirking expression, rotatable eyeballs, and haired hobbit feet, Gollum is ready to stir up trouble on your shelf. And no Middle-earth journey is complete without provisions – this little guy even comes with wrapped and unwrapped Lembas bread accessories.

Then there’s Sméagol — the tortured soul behind the sneer. Sméagol’s innocent, haunted expression captures the side of him that Tolkien fans cherish. He has the same exclusive Gollum body by Asmus, complete with seamless limbs and multiple hands and legs to bring his story to life.

So, if you’re ready to give these two a home, both Gollum and Sméagol are up for grabs, allowing fans to continue this adventure together with Asmus and Sideshow. And by purchasing through our links, you’ll support TheOneRing.net.

Here's the letter posted by Asmus Director Andy Hsu on Facebook

Have you always wanted to delight hobbit passerby with a beautiful springtime flower display but don't feel confident in your green thumb? Then you're in luck! Kili is here to show you just how easy it is to plant and grow bulbs! Watch the new episode and read her tips below.

Bulb planting tips:

• Plant bulbs in the autumn so that they have time to chill over winter.
• Choose a spot with partial to full sun
• Bulbs need soil that drains well (so they don't turn to mush after prolonged exposure to moisture), so amend clay soil with perlite or other substances to aid drainage
• As a general rule, dig a hole twice as deep as the bulb is tall.
• Plant bulbs in the autumn so that they have time to chill over winter.
• After the flowers have finished, don't prune them off! Allow the plant to continue its lifecycle. The leaves will continue to create and store energy that the bulb will use the following spring! The will die away on their own in mid-to-late summer.

Happy Hobbit has brought Middle-earth to its viewers' daily lives since 2012! Learn more hobbity recipes, crafts, and more by watching new episodes and/or perusing the 10+ years worth of videos on their YouTube channel. ???? New episodes debut every other Saturday, so be sure you are subscribed to Happy Hobbit so that you don't miss out!

Get even more slow-living hobbit content by following Happy Hobbit on Instagram, Facebook, Twitter, and TikTok! If watching the show has left you with an appetite for more, know that Kili (Kellie) has a podcast where Tolkien is often mentioned called Forests, Folklore & Fantasy

Everything you need to know about Rwanda's outbreak of Marburg virus, which has been described as one of the deadliest human pathogens

Rival tribes of bacteria armed with poison darts are fighting it out in your gut, with armies of traitors often winning the day