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Danny Strong’s Advice to Aspiring Screenwriters
Danny Strong is best known for the five years he played Jonathan Levenson on the landmark television series "Buffy the Vampire Slayer" for which he was named "One of the top ten scene stealer's on television" by the San Francisco Chronicle. He is also widely recognized for his four seasons as Doyle on "Gilmore Girls" and for his starring role opposite Amanda Bynes in the teen comedy "Sydney White." His script Recount, an HBO original film about the 2000 election debacle in Florida, was voted number one on the 2007 Black List, an annual list of the years top screenplays as determined by Hollywood development executives. Danny was named by Variety magazine as one of their "Top Ten Screenwriters to Watch" for 2007.
Question: What advice would you give an aspiring screenwriter?
Danny Strong: Well, the only advice I would give to a starting up screenwriter, it’s very simple. You have to write something you love. So if you love these kinds of movies, then go for it. Now, from a career business standpoint, they’re not good movies to write, because studios don’t seek these out. These aren’t movies that studios are looking to make. I mean, but that changes all the time. I mean, right now they’re making comic book movies. I mean, those are the huge hits, and animated films. I’m not going to write either of those. I don’t really enjoy going to see those kinds of movies. The type of comedies they make now are very, very broad. I think the Judd Apatow comedies are actually quite smart. But the really broad type comedies, I don’t really care for those either. So I would be a bad writer for those. Now I learned that lesson the hard way, because that’s what I tried to break into the business doing and wasn’t ultimately successful. So if someone wants to write an historical film, go for it, but you should just write it because you love it. When I came up with the idea for “Recount”, it was from a business standpoint insane, because there was only one company in town that would make it, HBO. And HBO is famous for being somewhat snobby in the writers they hire. They sort of writer [sic] the classiest of writers. I had never sold a screenplay. So not only was I not the classiest of writers, I was off the radar completely. The idea of me selling a pitch to HBO was ridiculous. And my representatives and everyone I knew made it clear that I knew that going into it, that this probably can’t happen. And I said, “I know. I totally know that this is a terrible idea.” But I didn’t care, because after my research, after reading those two initial books, I just loved it so much, and I thought this could be such a great movie. And I thought even if they don’t buy it as a pitch, I’m going to write it. And even if no one likes it, I will have had the experience of writing what I think is a really, really interesting film. And that was all I cared about. And I think that’s how screenwriters, and I think writers of any kind, need to approach their work of this may never make a dime. No one may ever read this, but the experience of writing it was incredibly rewarding for me and there’s nothing else I would have enjoyed spending my time doing more than getting to write this. And I think that should be the standard for what a writer chooses to do.
Question: Why was your earlier work so different?
Danny Strong: These were my first scripts, so I’m learning how to do it. I mean, I don’t, you know, it’s a very unusual process, screenwriting. I mean, you’ve seen novelists, great novelists, fail at it, famous stories of the novelists from the ‘20s and ‘30s coming out to Los Angeles and becoming alcoholics. And it’s always blamed on the studio system destroying them, but I think in some ways it’s also the form itself of screenwriting. It’s not a free form. It’s a very constricted, very tight form. You’re creating a blueprint to be shot by a camera, and that’s going to cost a lot of money to shoot that blueprint. So it wasn’t. You know, when I look back upon it, I think, yes, I was fighting some of my natural tendencies. The script that I was talking about that blew up, the “Liar, Liar” type script, was a movie about a corrupt senator, who’s cursed with instant karma. So everything, “Dave” meets “Liar, Liar.” So everything that happens to him, every deceitful act that he does as a senator, happens back to him immediately, very broad. And all the scenes in that movie that were the easiest for me to write, were the political commentary scenes, you know, the really broad, “Liar, Liar” type scenes, very forced, very kind of pulling teeth. And they’re not even that good in retrospect. But I think the other ideas is ultimately why it got a lot of attention. So, yeah, I guess I was fighting my natural tendencies, but at the same time I was just trying to figure out what the hell I was doing.
Question: How do acting and writing compliment each other?
Danny Strong: Well, I think they complement each other really well. I think I know a number of actors who have become writers, and when an actor can write, they make very, very good writers. These friends of mine, they’re really successful. They actually haven’t had films made, but they’ve sold a lot of scripts and are very high in demand. And it’s because we’ve spent our whole life trying to figure out how to make these scenes work as an actor, so that when we write scenes, it’s very natural. Dialogue for me is very natural. It’s very easy and very fun. Really that’s the fun part, when I finally get to the point where I can write dialogue and writing characters, because I’m a character actor. I’ve spent my whole career playing all sorts of different types of characters, from very shy, cocky, whatever. And so to write different types of characters is just kind of a natural extension of what I’ve been doing as an actor all these years. And I think at the end of the day a scripts you know, Arthur Miller said that why people still do his plays is because there’s great roles for actors. That’s why his plays keep getting redone. I mean, I think he’s underselling himself. His plays are brilliant. And then he also said that’s why Shakespeare’s plays are still done to this day, because these are great roles for actors. Well, who runs theater companies? Actors run theater companies. And I think the same thing goes for movies, that how do you get a movie star to be in your movie? Because it’s a great role. And I think who else is going to be better to write a great role than an actor himself.
Question: Would you encourage aspiring screenwriters to learn to act?
Danny Strong: Oh, yeah. Well, I mean, to take some acting classes absolutely, and I’ve been, because I stayed in acting classes pretty much. As soon as I graduated from theater school at USC, I was in acting classes for the next eight, nine, ten years. I mean I literally stopped taking an acting class after I sold “Recount” to go research. And there were writers in and out all through the years of these acting classes.
Question: Who is the most interesting actor you’ve ever worked with?
Danny Strong: That’s a really good question. Well, Christopher Walken was certainly the strangest. He just has this energy around him. And I remember, and everyone’s so- I don’t know if they’re, yeah, they’re intimidated. People are pretty intimidated by him. And something happened where I went up to him and said something kind of jokey, but in a confrontational kind of way, and he went from the Prince of Darkness to this kind of geek. He’s like, oh, no, no, I’m joking, you know, and he got very geeky. And it was really funny just seeing him go from that to that. I think a lot of these guys, they kind of want people to be normal around them, but people aren’t. I remember during “Pleasantville”, Jeff Daniels was very, he never said anything. And people were kind of intimidated by him. And one day I just started talking to him, and the reality was he was just the most normal person you’ve ever met. And it seemed like he just wanted people to be normal around him, because once you start talking to him, he’s just so nice and down to earth, and he couldn’t be a cooler guy. So I find that kind of that aura gets created by everyone on eggshells around him. But some people, you know, I hear Meryl Streep on a set goes out of her way to make everyone feel at ease because she knows that everyone is so freaked out by her. So, you know, just different people have different approaches.
Question: How does a young screenwriter break in?
Danny Strong: Well, in my case it took several years, and it was a build. I mean, the first script got a few of those people interested and willing to read my next script. That’s kind of what it is. It’s not, okay, we’re not going to buy this one, because no one every buys a script, but everyone’s always looking. So when they read something of yours that they thought was well written, they’re completely open to reading the next one. And that’s how you build a career, and that’s exactly what happened in my case. One was a few people. The next one was a few more, but a manager. And then the next one was a lot, because it spread very quickly. But none of them sold. But it put me in a place where I was able to sell the “Recount” pitch, because I had many. There was about 10 or 15 producers who would be very excited to hear an idea from me, based on the previous scripts. So that’s what it is. It’s hard. I mean, and when you think about that, that’s a lot of years of writing with no economic reward, and a lot of work, because each script was not something that happened in a month. Each script took six, seven months and multiple rewrites. So it’s and as it should be. I think my track, four years, four scripts, the fifth pitch was a sale. I think that’s a fast track. I think it went very well. But I was very committed to it because I loved doing that. I loved writing scripts, and I kind of had made the decision. Who knows if I would have stuck with it, but in moments of despair, which are, you know, there’s many. I mean imagine the rejection, the daily rejection of an acting career. So you start writing to get your mind off of it, and it becomes a daily rejection of a writing career. That’s just a lot of rejection for what you perceive as your artistic talent, and you start to doubt those talents. But I kind of made the decision that I will continue writing, even if I never make a dime, and I won’t stop until I don’t want to write anymore.
Recorded on: 06/27/2008
Danny Strong shares his advice for young screenwriters and why acting was a helpful preparation for becoming a writer.
If machines develop consciousness, or if we manage to give it to them, the human-robot dynamic will forever be different.
- Does AI—and, more specifically, conscious AI—deserve moral rights? In this thought exploration, evolutionary biologist Richard Dawkins, ethics and tech professor Joanna Bryson, philosopher and cognitive scientist Susan Schneider, physicist Max Tegmark, philosopher Peter Singer, and bioethicist Glenn Cohen all weigh in on the question of AI rights.
- Given the grave tragedy of slavery throughout human history, philosophers and technologists must answer this question ahead of technological development to avoid humanity creating a slave class of conscious beings.
- One potential safeguard against that? Regulation. Once we define the context in which AI requires rights, the simplest solution may be to not build that thing.
Duke University researchers might have solved a half-century old problem.
- Duke University researchers created a hydrogel that appears to be as strong and flexible as human cartilage.
- The blend of three polymers provides enough flexibility and durability to mimic the knee.
- The next step is to test this hydrogel in sheep; human use can take at least three years.
Duke researchers have developed the first gel-based synthetic cartilage with the strength of the real thing. A quarter-sized disc of the material can withstand the weight of a 100-pound kettlebell without tearing or losing its shape.
Photo: Feichen Yang.<p>That's the word from a team in the Department of Chemistry and Department of Mechanical Engineering and Materials Science at Duke University. Their <a href="https://onlinelibrary.wiley.com/doi/abs/10.1002/adfm.202003451" target="_blank">new paper</a>, published in the journal,<em> Advanced Functional Materials</em>, details this exciting evolution of this frustrating joint.<br></p><p>Researchers have sought materials strong and versatile enough to repair a knee since at least the seventies. This new hydrogel, comprised of three polymers, might be it. When two of the polymers are stretched, a third keeps the entire structure intact. When pulled 100,000 times, the cartilage held up as well as materials used in bone implants. The team also rubbed the hydrogel against natural cartilage a million times and found it to be as wear-resistant as the real thing. </p><p>The hydrogel has the appearance of Jell-O and is comprised of 60 percent water. Co-author, Feichen Yang, <a href="https://today.duke.edu/2020/06/lab-first-cartilage-mimicking-gel-strong-enough-knees" target="_blank">says</a> this network of polymers is particularly durable: "Only this combination of all three components is both flexible and stiff and therefore strong." </p><p> As with any new material, a lot of testing must be conducted. They don't foresee this hydrogel being implanted into human bodies for at least three years. The next step is to test it out in sheep. </p><p>Still, this is an exciting step forward in the rehabilitation of one of our trickiest joints. Given the potential reward, the wait is worth it. </p><p><span></span>--</p><p><em>Stay in touch with Derek on <a href="http://www.twitter.com/derekberes" target="_blank">Twitter</a>, <a href="https://www.facebook.com/DerekBeresdotcom" target="_blank">Facebook</a> and <a href="https://derekberes.substack.com/" target="_blank">Substack</a>. His next book is</em> "<em>Hero's Dose: The Case For Psychedelics in Ritual and Therapy."</em></p>
What would it be like to experience the 4th dimension?
Physicists have understood at least theoretically, that there may be higher dimensions, besides our normal three. The first clue came in 1905 when Einstein developed his theory of special relativity. Of course, by dimensions we’re talking about length, width, and height. Generally speaking, when we talk about a fourth dimension, it’s considered space-time. But here, physicists mean a spatial dimension beyond the normal three, not a parallel universe, as such dimensions are mistaken for in popular sci-fi shows.
An algorithm may allow doctors to assess PTSD candidates for early intervention after traumatic ER visits.
- 10-15% of people visiting emergency rooms eventually develop symptoms of long-lasting PTSD.
- Early treatment is available but there's been no way to tell who needs it.
- Using clinical data already being collected, machine learning can identify who's at risk.
The psychological scars a traumatic experience can leave behind may have a more profound effect on a person than the original traumatic experience. Long after an acute emergency is resolved, victims of post-traumatic stress disorder (PTSD) continue to suffer its consequences.
In the U.S. some 30 million patients are annually treated in emergency departments (EDs) for a range of traumatic injuries. Add to that urgent admissions to the ED with the onset of COVID-19 symptoms. Health experts predict that some 10 percent to 15 percent of these people will develop long-lasting PTSD within a year of the initial incident. While there are interventions that can help individuals avoid PTSD, there's been no reliable way to identify those most likely to need it.
That may now have changed. A multi-disciplinary team of researchers has developed a method for predicting who is most likely to develop PTSD after a traumatic emergency-room experience. Their study is published in the journal Nature Medicine.
70 data points and machine learning
Image source: Creators Collective/Unsplash
Study lead author Katharina Schultebraucks of Columbia University's Department Vagelos College of Physicians and Surgeons says:
"For many trauma patients, the ED visit is often their sole contact with the health care system. The time immediately after a traumatic injury is a critical window for identifying people at risk for PTSD and arranging appropriate follow-up treatment. The earlier we can treat those at risk, the better the likely outcomes."
The new PTSD test uses machine learning and 70 clinical data points plus a clinical stress-level assessment to develop a PTSD score for an individual that identifies their risk of acquiring the condition.
Among the 70 data points are stress hormone levels, inflammatory signals, high blood pressure, and an anxiety-level assessment. Says Schultebraucks, "We selected measures that are routinely collected in the ED and logged in the electronic medical record, plus answers to a few short questions about the psychological stress response. The idea was to create a tool that would be universally available and would add little burden to ED personnel."
Researchers used data from adult trauma survivors in Atlanta, Georgia (377 individuals) and New York City (221 individuals) to test their system.
Of this cohort, 90 percent of those predicted to be at high risk developed long-lasting PTSD symptoms within a year of the initial traumatic event — just 5 percent of people who never developed PTSD symptoms had been erroneously identified as being at risk.
On the other side of the coin, 29 percent of individuals were 'false negatives," tagged by the algorithm as not being at risk of PTSD, but then developing symptoms.
Image source: Külli Kittus/Unsplash
Schultebraucks looks forward to more testing as the researchers continue to refine their algorithm and to instill confidence in the approach among ED clinicians: "Because previous models for predicting PTSD risk have not been validated in independent samples like our model, they haven't been adopted in clinical practice." She expects that, "Testing and validation of our model in larger samples will be necessary for the algorithm to be ready-to-use in the general population."
"Currently only 7% of level-1 trauma centers routinely screen for PTSD," notes Schultebraucks. "We hope that the algorithm will provide ED clinicians with a rapid, automatic readout that they could use for discharge planning and the prevention of PTSD." She envisions the algorithm being implemented in the future as a feature of electronic medical records.
The researchers also plan to test their algorithm at predicting PTSD in people whose traumatic experiences come in the form of health events such as heart attacks and strokes, as opposed to visits to the emergency department.