Dr. Ian Malcolm Character Analysis

“It looks kind of distorted,” one of the kids said. “But I don’t think it’s the computer.”

“No,” Grant said. “It’s just time. Lots and lots of time.”

Grant knew that people could not imagine geological time. Human life was lived on another scale of time entirely. An apple turned brown in a few minutes. Silverware turned black in a few days. A compost heap decayed in a season. A child grew up in a decade. None of these everyday human experiences prepared people to be able to imagine the meaning of eighty million years—the length of time that had passed since this little animal had died.

In the classroom, Grant tried different comparisons. If you imagined the human lifespan of sixty years was compressed to a day, then eighty million years would still be 3,652 years—older than the pyramids. The velociraptor had been dead a long time.

In the 1980s, a few genetic engineering companies began to ask, “What is the biological equivalent of a Sony Walkman?” These companies weren’t interested in pharmaceuticals or health; they were interested in entertainment, sports, leisure activities, cosmetics, and pets. The perceived demand for “consumer biologicals” in the 1990s was high. InGen and Biosyn were both at work in this field.

Biosyn had already achieved some success, engineering a new, pale trout under contract to the Department of Fish and Game in the State of Idaho. This trout was easier to spot in streams, and was said to represent a step forward in angling. (At least, it eliminated complaints to the Fish and Game Department that there were no trout in the streams.) The fact that the pale trout sometimes died of sunburn, and that its flesh was soggy and tasteless, was not discussed.

“If I use a cannon to fire a shell of a certain weight, at a certain speed, and a certain angle of inclination—and if I then fire a second shell with almost the same weight, speed, and angle—what will happen?”

“The two shells will land at almost the same spot.”

“Right,” Malcolm said. “That’s linear dynamics.”

“Okay.”

“But if I have a weather system that I start up with a certain temperature and a certain wind speed and a certain humidity—and if I then repeat it with almost the same temperature, wind, and humidity—the second system will not behave almost the same. It’ll wander off and rapidly will become very different from the first. Thunderstorms instead of sunshine. That’s nonlinear dynamics. They are sensitive to initial conditions: tiny differences become amplified.”

“You arrogant little snot,” Hammond said. He stood, and walked out of the room.

“Gentlemen, gentlemen,” Gennaro said.

“I’m sorry,” Malcolm said, “but the point remains. What we call nature is in fact a complex system of far greater subtlety than we are willing to accept. We make a simplified image of nature and then we botch it up. I’m no environmentalist, but you have to understand what you don’t understand. How many times must the point be made? We build the Aswam Dam and claim it is going to revitalize the country. Instead, it destroys the fertile Nile Delta, produces parasitic infestation, and wrecks the Egyptian economy. We build the—”

“Excuse me,” Gennaro said, “But I think I hear the helicopter. That’s probably the sample for Dr. Grant to look at.” He started out of the room. They all followed.

Look, we’re not fools. We understand these are prehistoric animals. They are part of a vanished ecology—a complex web of life that became extinct millions of years ago. They might have no predators in the contemporary world, no checks on their growth. We don’t want them to survive in the wild. So I’ve made them lysine dependent. I inserted a gene that makes a single faulty enzyme in protein metabolism. As a result, the animals cannot manufacture the amino acid lysine. They must ingest it from the outside. Unless they get a rich dietary source of exogenous lysine—supplied by us, in tablet form—they’ll go into a coma within twelve hours and expire. These animals are genetically engineered to be unable to survive in the real world. They can only live here in Jurassic Park. They are not free at all. They are essentially our prisoners.

“What you see here,” Arnold said, “is an entirely separate counting procedure. It isn’t based on the tracking data. It’s a fresh look. The whole idea is that the computer can’t make a mistake, because it compares two different ways of gathering the data. If an animal were missing, we’d know it within five minutes.”

“I see,” Malcolm said. “And has that ever actually been tested?”

“Well, in a way,” Arnold said. “We’ve had a few animals die […]”And in each case, once the animal stopped moving, the numbers stopped tallying and the computer signaled an alert.”

Yes […] Look here. The basic event that has happened in Jurassic Park is that the scientists and technicians have tried to make a new, complete biological world. And the scientists in the control room expect to see a natural world. As in the graph they just showed us. Even though a moment’s thought reveals that a nice, normal distribution is terribly worrisome on this island […] Based on what Dr. Wu told us earlier, one should never see a population graph like that […because it] is a graph for a normal biological population. Which is precisely what Jurassic Park is not. Jurassic Park is not the real world. It is intended to be a controlled world that only imitates the natural world. In that sense, it’s a true park, rather like a Japanese formal garden. Nature manipulated to be more than the real thing, if you will.

But we have soothed ourselves into imagining sudden change as something that happens outside the normal order of things. An accident, like a car crash. Or beyond our control, like a fatal illness. We do not conceive of sudden, radical, irrational change as built into the very fabric of existence. Yet it is. And chaos theory teaches us […] that straight linearity, which we have come to take for granted in everything from physics to fiction, simply does not exist. Linearity is an artificial way of viewing the world. Real life isn’t a series of interconnected events occurring one after another like beads strung on a necklace. Life is actually a series of encounters in which one event may change those that follow in a wholly unpredictable, even devastating way. […] That’s a deep truth about the structure of our universe. But, for some reason, we insist on behaving as if it were not true.

Hammond was like every other management guy Arnold had ever seen. Whether it was Disney or the Navy, management guys always behaved the same. They never understood the technical issues; and they thought that screaming was the way to make things happen. […]

But screaming didn’t make any difference at all to the problems that Arnold now faced. The computer didn’t care if it was screamed at. The power network didn’t care if it was screamed at. Technical systems were completely indifferent to all this explosive human emotion. If anything, screaming was counterproductive, because Arnold now faced the virtual certainty that Nedry wasn’t coming back, which meant that Arnold himself had to go into the computer code and try and figure out what had gone wrong. It was going to be a painstaking job; he’d need to be calm and careful.

“Malcolm’s models tend to have a ledge, or a sharp incline, where the drop of water will speed up greatly. He modestly calls this speeding-up movement the Malcolm Effect. The whole system could suddenly collapse. And that was what he said about Jurassic Park. That it had inherent instability.”

“Inherent instability,” Gennaro said. “And what did you do when you got his report?”

“We disagreed with it, and ignored it, of course,” Arnold said.

“Was that wise?”
“It’s self-evident,” Arnold said. “We’re dealing with living systems, after all. This is life, not computer models.”

Malcolm’s just another theoretician. […] Sitting in his office, he made a nice mathematical model, and it never occurred to him that what he saw as defects were actually necessities. Look: when I was working on missile, we dealt with something called resonant yaw. Resonant yaw meant that, even though a missile was only slightly unstable off the pad, it was hopeless. It was inevitably going to go out of control, and it couldn’t be brought back. That’s a feature of mechanical systems. A little wobble can get worse until the whole system collapses. But those same little wobbles are essential to a living system. They mean the system is healthy and responsive. Malcolm never understood that. […] Look, the proof is right here. […] In less than an hour, […] the park will all be back online. […] And that’s not theoretical. That’s a fact.

Ellie said, “You don’t think much of Arnold, do you?”

“He’s all right. He’s an engineer. Wu’s the same. They’re both technicians. They don’t have intelligence. They have what I call ‘thintelligence.’ They see an immediate situation. They think narrowly and call it ‘being focused.’ They don’t’ see the surround. They don’t see the consequences. That’s how you get an island like this. From thintelligent thinking. Because you cannot make an animal and not expect it to act alive. To be unpredictable. To escape. But they don’t see that.”

Scientists are actually preoccupied with accomplishment. So they are focused on whether they can do something. They never stop to ask if they should do something. They conveniently define such considerations as pointless. If they don’t do it, someone else will. Discovery, they believe, is inevitable. So they just try to do it first. That’s the game in science. Even pure scientific discovery is an aggressive, penetrative act. It takes big equipment, and it literally changes the world afterward. Particle accelerators scar the land, and leave radioactive byproducts. Astronauts leave trash on the moon. There is always some proof that scientists were there, making their discoveries. Discovery is always a rape of the natural world. Always.”

But scientific power is like inherited wealth: attained without discipline. You read what others have done, and you take the next step. You can do it very young. You can make progress very fast. There is no discipline lasting many decades. There is no mastery: old scientists are ignored. There is no humility before nature. There is only a get-rich-quick, make-a-name-for-yourself-fast philosophy. Cheat, lie, falsify—it doesn’t matter. Not to you, or your colleagues. No one will criticize you. No one has any standards. They are all trying to do the same thing: to do something big, and do it fast.

At the same time, the great intellectual justification of science has vanished. Ever since Newton and Descartes, science has explicitly offered us the vision of total control. Science has claimed the power to eventually control everything, through its understanding of natural laws. But in the twentieth century, that claim has been shattered beyond repair […] Now we know that what we call ‘reason’ is just an arbitrary game. It’s not special, in the way we thought it was […] And so the grand vision of science, hundreds of years old—the dream of total control—has died, in our century. And with it much of the justification, the rationale for science to do what it does. And for us to listen to it.

The behavior of the dinosaurs had always been a minor consideration for Wu. […] You couldn’t really predict behavior, and you couldn’t really control it, except for in very crude ways. […] You couldn’t look at a DNA sequence and predict behavior. It was impossible.

And that had made Wu’s DNA work purely empirical. It was a matter of tinkering, in the way a modern workman might repair an antique grandfather clock. You were dealing with something out of the past, something constructed of ancient materials and following ancient rules […] Wu would make an adjustment and then see if the animals behaved any better. And he only tried to correct gross behavior: uncontrolled butting of the electrical fences, or rubbing the skin raw on tree trunks. Those were the behaviors that sent him back to the drawing board.

“It looks kind of distorted,” one of the kids said. “But I don’t think it’s the computer.”

“No,” Grant said. “It’s just time. Lots and lots of time.”

Grant knew that people could not imagine geological time. Human life was lived on another scale of time entirely. An apple turned brown in a few minutes. Silverware turned black in a few days. A compost heap decayed in a season. A child grew up in a decade. None of these everyday human experiences prepared people to be able to imagine the meaning of eighty million years—the length of time that had passed since this little animal had died.

In the classroom, Grant tried different comparisons. If you imagined the human lifespan of sixty years was compressed to a day, then eighty million years would still be 3,652 years—older than the pyramids. The velociraptor had been dead a long time.

In the 1980s, a few genetic engineering companies began to ask, “What is the biological equivalent of a Sony Walkman?” These companies weren’t interested in pharmaceuticals or health; they were interested in entertainment, sports, leisure activities, cosmetics, and pets. The perceived demand for “consumer biologicals” in the 1990s was high. InGen and Biosyn were both at work in this field.

Biosyn had already achieved some success, engineering a new, pale trout under contract to the Department of Fish and Game in the State of Idaho. This trout was easier to spot in streams, and was said to represent a step forward in angling. (At least, it eliminated complaints to the Fish and Game Department that there were no trout in the streams.) The fact that the pale trout sometimes died of sunburn, and that its flesh was soggy and tasteless, was not discussed.

“If I use a cannon to fire a shell of a certain weight, at a certain speed, and a certain angle of inclination—and if I then fire a second shell with almost the same weight, speed, and angle—what will happen?”

“The two shells will land at almost the same spot.”

“Right,” Malcolm said. “That’s linear dynamics.”

“Okay.”

“But if I have a weather system that I start up with a certain temperature and a certain wind speed and a certain humidity—and if I then repeat it with almost the same temperature, wind, and humidity—the second system will not behave almost the same. It’ll wander off and rapidly will become very different from the first. Thunderstorms instead of sunshine. That’s nonlinear dynamics. They are sensitive to initial conditions: tiny differences become amplified.”

“You arrogant little snot,” Hammond said. He stood, and walked out of the room.

“Gentlemen, gentlemen,” Gennaro said.

“I’m sorry,” Malcolm said, “but the point remains. What we call nature is in fact a complex system of far greater subtlety than we are willing to accept. We make a simplified image of nature and then we botch it up. I’m no environmentalist, but you have to understand what you don’t understand. How many times must the point be made? We build the Aswam Dam and claim it is going to revitalize the country. Instead, it destroys the fertile Nile Delta, produces parasitic infestation, and wrecks the Egyptian economy. We build the—”

“Excuse me,” Gennaro said, “But I think I hear the helicopter. That’s probably the sample for Dr. Grant to look at.” He started out of the room. They all followed.

Look, we’re not fools. We understand these are prehistoric animals. They are part of a vanished ecology—a complex web of life that became extinct millions of years ago. They might have no predators in the contemporary world, no checks on their growth. We don’t want them to survive in the wild. So I’ve made them lysine dependent. I inserted a gene that makes a single faulty enzyme in protein metabolism. As a result, the animals cannot manufacture the amino acid lysine. They must ingest it from the outside. Unless they get a rich dietary source of exogenous lysine—supplied by us, in tablet form—they’ll go into a coma within twelve hours and expire. These animals are genetically engineered to be unable to survive in the real world. They can only live here in Jurassic Park. They are not free at all. They are essentially our prisoners.

“What you see here,” Arnold said, “is an entirely separate counting procedure. It isn’t based on the tracking data. It’s a fresh look. The whole idea is that the computer can’t make a mistake, because it compares two different ways of gathering the data. If an animal were missing, we’d know it within five minutes.”

“I see,” Malcolm said. “And has that ever actually been tested?”

“Well, in a way,” Arnold said. “We’ve had a few animals die […]”And in each case, once the animal stopped moving, the numbers stopped tallying and the computer signaled an alert.”

Yes […] Look here. The basic event that has happened in Jurassic Park is that the scientists and technicians have tried to make a new, complete biological world. And the scientists in the control room expect to see a natural world. As in the graph they just showed us. Even though a moment’s thought reveals that a nice, normal distribution is terribly worrisome on this island […] Based on what Dr. Wu told us earlier, one should never see a population graph like that […because it] is a graph for a normal biological population. Which is precisely what Jurassic Park is not. Jurassic Park is not the real world. It is intended to be a controlled world that only imitates the natural world. In that sense, it’s a true park, rather like a Japanese formal garden. Nature manipulated to be more than the real thing, if you will.

But we have soothed ourselves into imagining sudden change as something that happens outside the normal order of things. An accident, like a car crash. Or beyond our control, like a fatal illness. We do not conceive of sudden, radical, irrational change as built into the very fabric of existence. Yet it is. And chaos theory teaches us […] that straight linearity, which we have come to take for granted in everything from physics to fiction, simply does not exist. Linearity is an artificial way of viewing the world. Real life isn’t a series of interconnected events occurring one after another like beads strung on a necklace. Life is actually a series of encounters in which one event may change those that follow in a wholly unpredictable, even devastating way. […] That’s a deep truth about the structure of our universe. But, for some reason, we insist on behaving as if it were not true.

Hammond was like every other management guy Arnold had ever seen. Whether it was Disney or the Navy, management guys always behaved the same. They never understood the technical issues; and they thought that screaming was the way to make things happen. […]

But screaming didn’t make any difference at all to the problems that Arnold now faced. The computer didn’t care if it was screamed at. The power network didn’t care if it was screamed at. Technical systems were completely indifferent to all this explosive human emotion. If anything, screaming was counterproductive, because Arnold now faced the virtual certainty that Nedry wasn’t coming back, which meant that Arnold himself had to go into the computer code and try and figure out what had gone wrong. It was going to be a painstaking job; he’d need to be calm and careful.

“Malcolm’s models tend to have a ledge, or a sharp incline, where the drop of water will speed up greatly. He modestly calls this speeding-up movement the Malcolm Effect. The whole system could suddenly collapse. And that was what he said about Jurassic Park. That it had inherent instability.”

“Inherent instability,” Gennaro said. “And what did you do when you got his report?”

“We disagreed with it, and ignored it, of course,” Arnold said.

“Was that wise?”
“It’s self-evident,” Arnold said. “We’re dealing with living systems, after all. This is life, not computer models.”

Malcolm’s just another theoretician. […] Sitting in his office, he made a nice mathematical model, and it never occurred to him that what he saw as defects were actually necessities. Look: when I was working on missile, we dealt with something called resonant yaw. Resonant yaw meant that, even though a missile was only slightly unstable off the pad, it was hopeless. It was inevitably going to go out of control, and it couldn’t be brought back. That’s a feature of mechanical systems. A little wobble can get worse until the whole system collapses. But those same little wobbles are essential to a living system. They mean the system is healthy and responsive. Malcolm never understood that. […] Look, the proof is right here. […] In less than an hour, […] the park will all be back online. […] And that’s not theoretical. That’s a fact.

Ellie said, “You don’t think much of Arnold, do you?”

“He’s all right. He’s an engineer. Wu’s the same. They’re both technicians. They don’t have intelligence. They have what I call ‘thintelligence.’ They see an immediate situation. They think narrowly and call it ‘being focused.’ They don’t’ see the surround. They don’t see the consequences. That’s how you get an island like this. From thintelligent thinking. Because you cannot make an animal and not expect it to act alive. To be unpredictable. To escape. But they don’t see that.”

Scientists are actually preoccupied with accomplishment. So they are focused on whether they can do something. They never stop to ask if they should do something. They conveniently define such considerations as pointless. If they don’t do it, someone else will. Discovery, they believe, is inevitable. So they just try to do it first. That’s the game in science. Even pure scientific discovery is an aggressive, penetrative act. It takes big equipment, and it literally changes the world afterward. Particle accelerators scar the land, and leave radioactive byproducts. Astronauts leave trash on the moon. There is always some proof that scientists were there, making their discoveries. Discovery is always a rape of the natural world. Always.”

But scientific power is like inherited wealth: attained without discipline. You read what others have done, and you take the next step. You can do it very young. You can make progress very fast. There is no discipline lasting many decades. There is no mastery: old scientists are ignored. There is no humility before nature. There is only a get-rich-quick, make-a-name-for-yourself-fast philosophy. Cheat, lie, falsify—it doesn’t matter. Not to you, or your colleagues. No one will criticize you. No one has any standards. They are all trying to do the same thing: to do something big, and do it fast.

At the same time, the great intellectual justification of science has vanished. Ever since Newton and Descartes, science has explicitly offered us the vision of total control. Science has claimed the power to eventually control everything, through its understanding of natural laws. But in the twentieth century, that claim has been shattered beyond repair […] Now we know that what we call ‘reason’ is just an arbitrary game. It’s not special, in the way we thought it was […] And so the grand vision of science, hundreds of years old—the dream of total control—has died, in our century. And with it much of the justification, the rationale for science to do what it does. And for us to listen to it.

The behavior of the dinosaurs had always been a minor consideration for Wu. […] You couldn’t really predict behavior, and you couldn’t really control it, except for in very crude ways. […] You couldn’t look at a DNA sequence and predict behavior. It was impossible.

And that had made Wu’s DNA work purely empirical. It was a matter of tinkering, in the way a modern workman might repair an antique grandfather clock. You were dealing with something out of the past, something constructed of ancient materials and following ancient rules […] Wu would make an adjustment and then see if the animals behaved any better. And he only tried to correct gross behavior: uncontrolled butting of the electrical fences, or rubbing the skin raw on tree trunks. Those were the behaviors that sent him back to the drawing board.