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In the act of murder, | 0:00:04 | 0:00:06 | |
there is a weapon... | 0:00:06 | 0:00:11 | |
a crime scene... | 0:00:11 | 0:00:16 | |
and a body - | 0:00:16 | 0:00:19 | |
all vital evidence | 0:00:19 | 0:00:20 | |
in the hunt for the killer. | 0:00:20 | 0:00:23 | |
It's a game of cat and mouse | 0:00:25 | 0:00:27 | |
between police and murderer | 0:00:27 | 0:00:29 | |
that used to favour the criminal, | 0:00:29 | 0:00:32 | |
but then something happened | 0:00:32 | 0:00:33 | |
that swung the odds in favour of justice... | 0:00:33 | 0:00:37 | |
..the arrival of forensic science. | 0:00:39 | 0:00:42 | |
I'm Gabriel Weston. | 0:00:47 | 0:00:49 | |
As a surgeon and writer, I'm fascinated by the work | 0:00:49 | 0:00:53 | |
of the forensic scientist and the murders they've helped to solve. | 0:00:53 | 0:00:58 | |
In this series, | 0:01:02 | 0:01:05 | |
I'll explore the cases that transformed criminal investigation, | 0:01:05 | 0:01:11 | |
through poison and acid... | 0:01:11 | 0:01:15 | |
fingerprints and blood. | 0:01:15 | 0:01:17 | |
From the earliest days | 0:01:19 | 0:01:21 | |
to the cutting edge of modern forensics. | 0:01:21 | 0:01:25 | |
There will always be those who believe | 0:01:27 | 0:01:29 | |
they can commit the perfect murder, | 0:01:29 | 0:01:32 | |
who think they can conceal their victim's identity | 0:01:32 | 0:01:36 | |
as well as their own, | 0:01:36 | 0:01:38 | |
but forensic science has emerged as a formidable force | 0:01:38 | 0:01:42 | |
to challenge the killers and bring them to justice. | 0:01:42 | 0:01:46 | |
The history of crime is full of anonymous corpses - | 0:02:01 | 0:02:07 | |
bodies mutilated to the point where identification | 0:02:07 | 0:02:11 | |
was simply impossible. | 0:02:11 | 0:02:13 | |
They are the murders where the body itself presented | 0:02:16 | 0:02:20 | |
the main challenge to investigators and, as a surgeon, | 0:02:20 | 0:02:24 | |
they're the cases that I'm naturally most interested in because | 0:02:24 | 0:02:28 | |
they're the ones that could only be solved using medical expertise. | 0:02:28 | 0:02:33 | |
I'm going to trace the rise of forensic science | 0:02:37 | 0:02:40 | |
through four breakthrough cases, | 0:02:40 | 0:02:44 | |
from charred bones to DNA - | 0:02:44 | 0:02:48 | |
all questions of identity. | 0:02:48 | 0:02:51 | |
The first began here, at Harvard Medical College, Boston, | 0:02:54 | 0:02:58 | |
on November the 25th, 1849. | 0:02:58 | 0:03:02 | |
Inside one of the laboratories, George Parkman lay dead... | 0:03:06 | 0:03:12 | |
murdered... | 0:03:12 | 0:03:14 | |
by Professor John White Webster. | 0:03:14 | 0:03:17 | |
In a heated argument over unpaid debts, | 0:03:23 | 0:03:26 | |
Webster struck Parkman over the head... | 0:03:26 | 0:03:29 | |
..killing him outright. | 0:03:31 | 0:03:34 | |
Webster suddenly had more than money to worry about. | 0:03:34 | 0:03:38 | |
He was now a killer. | 0:03:38 | 0:03:40 | |
Webster had little time to cover his tracks. | 0:03:50 | 0:03:54 | |
His victim was no ordinary member of the public. | 0:03:54 | 0:03:57 | |
George Parkman was a man of considerable standing | 0:04:02 | 0:04:05 | |
within Boston society. | 0:04:05 | 0:04:08 | |
As a respected Harvard academic, moneylender and landowner, | 0:04:08 | 0:04:13 | |
he was well-known across the city, | 0:04:13 | 0:04:15 | |
so his disappearance was quickly reported to the police. | 0:04:15 | 0:04:19 | |
The authorities embarked on a huge citywide hunt for the missing man. | 0:04:20 | 0:04:26 | |
Even the river and Boston Harbour were dredged, | 0:04:26 | 0:04:29 | |
but there were no signs of George Parkman to be found. | 0:04:29 | 0:04:34 | |
Somehow, Professor Webster had managed to make | 0:04:34 | 0:04:37 | |
the body of his victim simply vanish. | 0:04:37 | 0:04:40 | |
The city was buzzing with many wild theories of what | 0:04:43 | 0:04:46 | |
might have befallen George Parkman, | 0:04:46 | 0:04:49 | |
but one man alone suspected the truth. | 0:04:49 | 0:04:53 | |
Ephraim Littlefield, a janitor at the Harvard Medical College, | 0:04:53 | 0:04:58 | |
had witnessed Parkman entering the building, | 0:04:58 | 0:05:01 | |
but never saw him leave, | 0:05:01 | 0:05:04 | |
and now Professor Webster was acting out of character. | 0:05:04 | 0:05:09 | |
His laboratory door, usually open, was locked. | 0:05:09 | 0:05:14 | |
FIRE ROARS | 0:05:14 | 0:05:17 | |
From beneath the door, | 0:05:17 | 0:05:19 | |
Ephraim Littlefield saw Webster making repeated visits to the | 0:05:19 | 0:05:24 | |
laboratory furnace and a terrible question grew in his mind. | 0:05:24 | 0:05:28 | |
If Webster wanted to conceal a body, where would he hide it? | 0:05:30 | 0:05:34 | |
As a janitor, Littlefield knew every inch of the college... | 0:05:35 | 0:05:39 | |
..and taking matters into his own hands, | 0:05:45 | 0:05:47 | |
he broke into a sealed vault | 0:05:47 | 0:05:49 | |
connected to Webster's laboratory toilet... | 0:05:49 | 0:05:52 | |
..and there he discovered human remains. | 0:05:55 | 0:05:58 | |
Thanks to Ephraim Littlefield, the police had a body on their hands. | 0:06:02 | 0:06:07 | |
The vault underneath Webster's toilet | 0:06:10 | 0:06:12 | |
was full of hacked-up limbs and, locked inside a chest in his lab, | 0:06:12 | 0:06:17 | |
they found a whole torso with a left thigh stuffed inside it. | 0:06:17 | 0:06:22 | |
All the circumstances pointed to it being George Parkman... | 0:06:24 | 0:06:28 | |
..and now Professor John White Webster was | 0:06:30 | 0:06:34 | |
arrested on suspicion of his murder. | 0:06:34 | 0:06:37 | |
Police recovered almost a complete body from | 0:06:40 | 0:06:43 | |
in and around Webster's laboratory. | 0:06:43 | 0:06:45 | |
The head, however, was missing and this was crucial. | 0:06:48 | 0:06:51 | |
Without it, they would struggle to identify the body. | 0:06:53 | 0:06:57 | |
But once again, the janitor Littlefield led the way. | 0:07:02 | 0:07:06 | |
He showed them to the laboratory furnace. | 0:07:06 | 0:07:09 | |
Inside were the cremated ashes of a human head. | 0:07:12 | 0:07:16 | |
This was Webster's attempt to obliterate the identity | 0:07:18 | 0:07:22 | |
of George Parkman... | 0:07:22 | 0:07:23 | |
..but destroying a skull is a far harder task than Webster realised. | 0:07:27 | 0:07:33 | |
To demonstrate, I'm going to recreate the grisly affair. | 0:07:39 | 0:07:44 | |
This is a sheep skull. | 0:07:46 | 0:07:49 | |
It's not a human skull, | 0:07:49 | 0:07:50 | |
but in terms of hardness and density, | 0:07:50 | 0:07:53 | |
it's remarkably similar, | 0:07:53 | 0:07:55 | |
and I've come to this amazing incineration unit | 0:07:55 | 0:07:59 | |
to see what happens when we put this skull in the furnace. | 0:07:59 | 0:08:03 | |
MACHINE WHIRS | 0:08:05 | 0:08:08 | |
This incinerator is used to cremate animal carcasses | 0:08:13 | 0:08:17 | |
and can reach temperatures in excess of 1,000 degrees Celsius, | 0:08:17 | 0:08:23 | |
and the skull is going to spend several hours inside. | 0:08:23 | 0:08:27 | |
I'm curious to see how much will remain. | 0:08:29 | 0:08:33 | |
I expected I'd have a pile of ashes here | 0:08:38 | 0:08:40 | |
but in fact, it looks very much as it did before. | 0:08:40 | 0:08:44 | |
Now, in these circumstances, what usually happens is that | 0:08:44 | 0:08:47 | |
the bony remains are put through something called a cremulator, | 0:08:47 | 0:08:51 | |
which grinds them up into what we would think ashes look like, | 0:08:51 | 0:08:55 | |
and what I'm going to do now is try and mimic that process | 0:08:55 | 0:08:58 | |
with this hammer, and see if I can destroy what's left of this skull. | 0:08:58 | 0:09:03 | |
Now, that's what Parkman's killer would have had to do... | 0:09:08 | 0:09:12 | |
..but Webster failed to complete the job. | 0:09:14 | 0:09:17 | |
Inside his laboratory furnace was a partial jawbone and some teeth... | 0:09:20 | 0:09:27 | |
..and it was these tiny fragments of a human being | 0:09:33 | 0:09:36 | |
that would completely change the course of forensic science. | 0:09:36 | 0:09:40 | |
The 19th century saw the emergence of dentistry | 0:09:46 | 0:09:49 | |
as a respected branch of medicine. | 0:09:49 | 0:09:51 | |
Bad teeth could now easily be replaced by dentures. | 0:09:53 | 0:09:58 | |
In making these, dentists kept accurate models | 0:10:00 | 0:10:03 | |
of their patients' jaws and teeth - | 0:10:03 | 0:10:06 | |
in other words, dental records. | 0:10:06 | 0:10:08 | |
And in a stroke of luck for detectives, | 0:10:10 | 0:10:13 | |
George Parkman had bad teeth. | 0:10:13 | 0:10:16 | |
His dentist, Dr Nathan Keep, had crafted him | 0:10:19 | 0:10:23 | |
an ornate set of dentures. | 0:10:23 | 0:10:25 | |
Rachel Bairstow is curator | 0:10:31 | 0:10:33 | |
at the Museum of the British Dental Association. | 0:10:33 | 0:10:36 | |
Parkman's dentures would have been made by taking a beeswax impression | 0:10:40 | 0:10:45 | |
of the mouth and then a plaster cast would have been | 0:10:45 | 0:10:49 | |
taken of that, and it was likely that he had | 0:10:49 | 0:10:52 | |
a metal denture of some sort, with some porcelain teeth attached. | 0:10:52 | 0:10:56 | |
You can see the clasps here, | 0:10:58 | 0:11:00 | |
This is how it anchored into place around existing teeth, | 0:11:00 | 0:11:03 | |
so it made a very good fit. | 0:11:03 | 0:11:06 | |
The craftsmanship was amazing, you know, | 0:11:06 | 0:11:07 | |
hammered into place by hand, | 0:11:07 | 0:11:11 | |
-to get the best that you could at that time. -Yeah. | 0:11:11 | 0:11:13 | |
It would have been a very unique set. | 0:11:13 | 0:11:16 | |
Webster's trial began on the 19th of March, 1850. | 0:11:22 | 0:11:26 | |
When dentist Dr Nathan Keep took the stand, | 0:11:28 | 0:11:31 | |
he had with him his models of Parkman's jaw and denture... | 0:11:31 | 0:11:35 | |
..and also the fragments of bone found in the laboratory furnace. | 0:11:37 | 0:11:42 | |
So what did Keep do in the court of law? | 0:11:44 | 0:11:47 | |
So, he would have brought in the plaster cast model that he had | 0:11:47 | 0:11:50 | |
and this is the point where it would have been married up with | 0:11:50 | 0:11:53 | |
the items that were found, so the jawbone and the teeth. | 0:11:53 | 0:11:57 | |
The teeth would have been inserted into the jawbone | 0:11:57 | 0:12:01 | |
and then the denture plate would have been inserted over the top. | 0:12:01 | 0:12:06 | |
The jury can have had no doubt that this was Parkman in the furnace. | 0:12:06 | 0:12:10 | |
This was the legal birth of forensic dentistry. | 0:12:15 | 0:12:19 | |
On the basis of the dentist's testimony, | 0:12:20 | 0:12:23 | |
the remains were confirmed as belonging to George Parkman. | 0:12:23 | 0:12:27 | |
The janitor Littlefield collected a 3,000 reward | 0:12:29 | 0:12:32 | |
for his efforts... | 0:12:32 | 0:12:34 | |
..and John White Webster was sentenced to death. | 0:12:36 | 0:12:40 | |
SIREN WAILS | 0:12:49 | 0:12:51 | |
Today, forensic dentists are called upon | 0:12:53 | 0:12:56 | |
in the most tragic of circumstances - | 0:12:56 | 0:13:01 | |
in situations where only dental records can confirm | 0:13:01 | 0:13:05 | |
the identity of the dead - | 0:13:05 | 0:13:08 | |
but dentistry can do more than just identify | 0:13:08 | 0:13:11 | |
the victims of crime or disaster. | 0:13:11 | 0:13:13 | |
Here at the University of Cardiff Dental Hospital, | 0:13:15 | 0:13:18 | |
forensic scientists are turning their attention toward the criminal. | 0:13:18 | 0:13:23 | |
It's not unusual for a killer to leave bite marks on their victim | 0:13:25 | 0:13:29 | |
and these can be used as evidence in murder cases. | 0:13:29 | 0:13:33 | |
The idea is that if you can marry the bite marks to the teeth | 0:13:33 | 0:13:36 | |
that made them, you can catch the killer, | 0:13:36 | 0:13:40 | |
but recently in the USA, certain convictions that were secured | 0:13:40 | 0:13:43 | |
using this kind of evidence have been overturned | 0:13:43 | 0:13:47 | |
and the whole reliability of bite mark analysis | 0:13:47 | 0:13:50 | |
called into question. | 0:13:50 | 0:13:52 | |
To demonstrate why, | 0:13:58 | 0:13:59 | |
I'm leaving some bite marks of my own on this clay arm | 0:13:59 | 0:14:03 | |
and taking it to forensic dentist Romina Carabott for analysis. | 0:14:03 | 0:14:08 | |
So, first of all, we've got different pressure that has been applied, | 0:14:10 | 0:14:14 | |
so some of them have gone quite deep, whereas others, | 0:14:14 | 0:14:17 | |
like what we've got here, have stayed on the surface of the clay. | 0:14:17 | 0:14:22 | |
We've also got a curved surface here and that will affect | 0:14:22 | 0:14:26 | |
the shape of the print that the tooth would leave. | 0:14:26 | 0:14:29 | |
To analyse bite marks, | 0:14:31 | 0:14:33 | |
forensic dentists take high-resolution photographs, | 0:14:33 | 0:14:38 | |
but a 2-D image doesn't represent | 0:14:38 | 0:14:40 | |
a three-dimensional surface accurately, | 0:14:40 | 0:14:43 | |
so getting precise measurements from a curved body part - | 0:14:43 | 0:14:46 | |
like an arm - is difficult. | 0:14:46 | 0:14:49 | |
It's further complicated by the skin itself, | 0:14:49 | 0:14:52 | |
which swells and bruises around the mark. | 0:14:52 | 0:14:55 | |
Combined, these factors can make it extremely difficult | 0:14:57 | 0:15:01 | |
to make an accurate bite mark analysis... | 0:15:01 | 0:15:04 | |
..and that's what makes this type of evidence easy to | 0:15:07 | 0:15:10 | |
question in a court of law, | 0:15:10 | 0:15:12 | |
but imaging specialist Sam Evans is working with Romina to | 0:15:12 | 0:15:17 | |
develop a new 3-D technique that could provide | 0:15:17 | 0:15:20 | |
a more accurate way of measuring bite marks. | 0:15:20 | 0:15:23 | |
This is a modified SLR camera, with a stereoscopic lens | 0:15:26 | 0:15:31 | |
on the front that takes a pair of images, | 0:15:31 | 0:15:34 | |
so then software that's designed specifically for this camera | 0:15:34 | 0:15:38 | |
can create 3-D images. | 0:15:38 | 0:15:40 | |
CAMERA SHUTTER CLICKS | 0:15:40 | 0:15:42 | |
Sam feeds his photos into specialist imaging software | 0:15:42 | 0:15:45 | |
that produces a 3-D model. | 0:15:45 | 0:15:49 | |
This means the bite mark can be analysed much more accurately | 0:15:49 | 0:15:53 | |
than with a simple photo. | 0:15:53 | 0:15:54 | |
What are we looking at here, Romina? | 0:15:57 | 0:15:59 | |
The software has constructed the curvature of the arm | 0:15:59 | 0:16:03 | |
with the bite mark on it and so now we can rotate it around | 0:16:03 | 0:16:07 | |
and we can analyse each different part of the arm. | 0:16:07 | 0:16:11 | |
When you're actually using this technology, | 0:16:11 | 0:16:13 | |
how do you measure the tooth to see if the tooth fits the bite? | 0:16:13 | 0:16:18 | |
Say, for example, I want to take a measurement of the width | 0:16:18 | 0:16:21 | |
of the arch, the distance between the mark of the left canine and the | 0:16:21 | 0:16:25 | |
right canine, then we're going to just draw a line there and, because | 0:16:25 | 0:16:30 | |
the camera is calibrated together with the software, it facilitates | 0:16:30 | 0:16:34 | |
and increases the chances that I am going to be as accurate - | 0:16:34 | 0:16:37 | |
as precise, rather - as possible in my conclusions and analysis. | 0:16:37 | 0:16:41 | |
This work shows how forensic science is constantly seeking | 0:16:43 | 0:16:48 | |
new ways to establish identity. | 0:16:48 | 0:16:51 | |
It's long been a defining characteristic of the field. | 0:16:51 | 0:16:55 | |
After the murder of George Parkman in 1850, | 0:16:58 | 0:17:01 | |
new forensic techniques emerged, | 0:17:01 | 0:17:03 | |
and with them, a new breed of scientist - | 0:17:03 | 0:17:07 | |
the forensic pathologist. | 0:17:07 | 0:17:09 | |
They used their knowledge of human anatomy to help solve crime. | 0:17:13 | 0:17:17 | |
Killers now had to go to extreme lengths to obscure | 0:17:18 | 0:17:23 | |
the identity of their victims. | 0:17:23 | 0:17:25 | |
This area, just a few miles north of the Scottish border town of Moffat, | 0:17:31 | 0:17:36 | |
is known as the Devil's Beef Tub. | 0:17:36 | 0:17:38 | |
It's a place of outstanding natural beauty, | 0:17:40 | 0:17:43 | |
but it also has a dark and grisly past. | 0:17:43 | 0:17:46 | |
On September 29th, 1935, | 0:17:46 | 0:17:49 | |
two women were walking exactly where I have been now | 0:17:49 | 0:17:53 | |
and, as they crossed the bridge, one of them happened to look down | 0:17:53 | 0:17:56 | |
and she saw something very strange in the ravine below. | 0:17:56 | 0:18:00 | |
The stream was littered with discarded parcels. | 0:18:03 | 0:18:07 | |
Looking closer, she saw something horrific... | 0:18:08 | 0:18:13 | |
a human arm. | 0:18:13 | 0:18:14 | |
When police arrived, an even grimmer picture emerged. | 0:18:18 | 0:18:21 | |
More bundles were discovered - | 0:18:25 | 0:18:28 | |
each contained decomposing human remains. | 0:18:28 | 0:18:32 | |
18 body parts, as well as assorted fragments of bone and tissue, | 0:18:37 | 0:18:42 | |
were found up and down this stream. | 0:18:42 | 0:18:44 | |
Some had been wrapped in paper, | 0:18:46 | 0:18:49 | |
some were just lying in the water. | 0:18:49 | 0:18:51 | |
The remains were mutilated beyond recognition - | 0:18:52 | 0:18:56 | |
it wasn't even possible to tell | 0:18:56 | 0:18:58 | |
how many victims there were at the scene. | 0:18:58 | 0:19:01 | |
Forensic pathologists from Glasgow | 0:19:05 | 0:19:07 | |
and Edinburgh Universities were called in. | 0:19:07 | 0:19:10 | |
They were led by Professor John Glaister Jr. | 0:19:11 | 0:19:14 | |
To their expert eyes, the jigsaw of body parts started to tell a story. | 0:19:17 | 0:19:23 | |
It was clear that the murderer had gone to great lengths to | 0:19:23 | 0:19:26 | |
remove all traces of identity from their victims. | 0:19:26 | 0:19:30 | |
Fingertips had been carefully dissected out at the joint. | 0:19:30 | 0:19:34 | |
Teeth had been pulled from the upper jaw without doing any damage to | 0:19:34 | 0:19:39 | |
the surrounding bone, | 0:19:39 | 0:19:41 | |
which suggested the expert use of dental pliers. | 0:19:41 | 0:19:44 | |
They knew they were dealing with a murderer who probably had | 0:19:46 | 0:19:50 | |
medical training. | 0:19:50 | 0:19:53 | |
But who were the victims and who had killed them? | 0:19:53 | 0:19:56 | |
The remains were sent to Edinburgh University, where a team | 0:20:00 | 0:20:04 | |
headed up by Glaister, and college Professor James Brash, | 0:20:04 | 0:20:08 | |
set about reconstructing the victims. | 0:20:08 | 0:20:11 | |
It was a monumental challenge. | 0:20:13 | 0:20:16 | |
Painstakingly sifting through the remains, | 0:20:17 | 0:20:20 | |
they established there were two victims... | 0:20:20 | 0:20:23 | |
..both female. | 0:20:27 | 0:20:28 | |
One six inches taller than the other. | 0:20:30 | 0:20:33 | |
Analysing the skulls, they revealed a further critical detail. | 0:20:37 | 0:20:43 | |
These lines look like cracks, | 0:20:43 | 0:20:45 | |
but they're actually joints called sutures | 0:20:45 | 0:20:49 | |
and they enable the skull | 0:20:49 | 0:20:50 | |
and the brain to grow as we age, and they don't fuse until about 40. | 0:20:50 | 0:20:57 | |
Now over here, we've got an X-ray of the skulls found at the scene. | 0:20:57 | 0:21:03 | |
The one here has got the suture lines almost fused, | 0:21:03 | 0:21:07 | |
which means that this would have belonged to somebody | 0:21:07 | 0:21:10 | |
in their mid-to-late 30s, and this compares quite noticeably with | 0:21:10 | 0:21:15 | |
the one on the other side, where the suture line is quite noticeably | 0:21:15 | 0:21:20 | |
open still, and would have belonged to somebody in their early 20s. | 0:21:20 | 0:21:24 | |
The suture marks in the skulls told Glaister and Brash | 0:21:27 | 0:21:30 | |
how old the victims were. | 0:21:30 | 0:21:32 | |
While they continued to analyse the remains, | 0:21:35 | 0:21:37 | |
the police carried out more conventional detective work... | 0:21:37 | 0:21:41 | |
..and they had a lead. | 0:21:42 | 0:21:44 | |
One of the bundles was wrapped in pages from the Sunday Graphic. | 0:21:46 | 0:21:51 | |
It was a special edition, | 0:21:51 | 0:21:53 | |
only available in the Morecambe and Lancaster district, | 0:21:53 | 0:21:57 | |
and a young woman had recently been reported missing in that area. | 0:21:57 | 0:22:02 | |
The missing person was 20-year-old Mary Rogerson. | 0:22:09 | 0:22:14 | |
She worked as a live-in nursemaid for Isabella Ruxton, in Lancaster. | 0:22:14 | 0:22:20 | |
The thing was that 34-year-old Isabella had also disappeared. | 0:22:22 | 0:22:28 | |
Both missing women lived at number two Dalton Square | 0:22:28 | 0:22:32 | |
with Isabella's common-law husband, | 0:22:32 | 0:22:34 | |
a Dr Buck Ruxton. | 0:22:34 | 0:22:36 | |
Ruxton was a respected GP in Lancaster, | 0:22:40 | 0:22:44 | |
but beneath this veneer lurked a paranoid personality. | 0:22:44 | 0:22:48 | |
He'd been reported to police on two previous occasions | 0:22:51 | 0:22:53 | |
for threatening to kill his wife... | 0:22:53 | 0:22:56 | |
..and neither his wife Isabella nor the maid Mary had been seen | 0:22:57 | 0:23:02 | |
since the 14th of September. | 0:23:02 | 0:23:03 | |
A search of the house at two Dalton Square raised serious concerns. | 0:23:05 | 0:23:12 | |
Clothing and carpets had been burned in the back yard. | 0:23:12 | 0:23:15 | |
Blood stains were found in the bathroom. | 0:23:16 | 0:23:19 | |
It was enough for police to question Buck Ruxton on suspicion of murder. | 0:23:20 | 0:23:26 | |
The similarities between the missing women | 0:23:32 | 0:23:35 | |
and the corpses in the mortuary were striking. | 0:23:35 | 0:23:38 | |
Both women were precisely the right age | 0:23:38 | 0:23:42 | |
and Isabella was even six inches taller than Mary. | 0:23:42 | 0:23:46 | |
But in the cold light of day, these were just similarities, | 0:23:46 | 0:23:51 | |
hardly the kind of hard evidence necessary to establish | 0:23:51 | 0:23:56 | |
identity or even guilt. | 0:23:56 | 0:23:59 | |
Ruxton himself claimed he'd never even been to Moffat, | 0:23:59 | 0:24:03 | |
but then Glaister had an idea. | 0:24:03 | 0:24:06 | |
He obtained recent photos of Isabella and Mary, | 0:24:10 | 0:24:14 | |
then he took the skulls recovered from the stream | 0:24:14 | 0:24:17 | |
and photographed them using the same camera | 0:24:17 | 0:24:21 | |
and from precisely the same angle. | 0:24:21 | 0:24:24 | |
What he did next was a stroke of genius. | 0:24:26 | 0:24:30 | |
He took the original photo | 0:24:32 | 0:24:34 | |
and superimposed it over his own macabre recreation. | 0:24:34 | 0:24:39 | |
And the result is astonishing. | 0:24:43 | 0:24:45 | |
It's almost like an X-ray. | 0:24:49 | 0:24:51 | |
You can see the dead skull peering out from behind the living picture. | 0:24:53 | 0:24:58 | |
The angle of the jaw is perfectly in line, | 0:25:01 | 0:25:04 | |
the orbit of the eye is in the right position. | 0:25:04 | 0:25:07 | |
The bridge of the nose is perfect. | 0:25:07 | 0:25:09 | |
Glaister and Brash were absolutely sure that the missing women | 0:25:12 | 0:25:16 | |
were the corpses in the mortuary. | 0:25:16 | 0:25:18 | |
Eventually another body part was found - | 0:25:21 | 0:25:25 | |
a forearm with the fingertips intact. | 0:25:25 | 0:25:29 | |
The prints matched those taken from Mary Rogerson's room | 0:25:29 | 0:25:33 | |
at two Dalton Square. | 0:25:33 | 0:25:36 | |
The identity of the victims now seemed beyond doubt, | 0:25:36 | 0:25:40 | |
but there was one more key piece of evidence | 0:25:40 | 0:25:43 | |
that would point to the killer. | 0:25:43 | 0:25:45 | |
In any murder case, establishing the time of death is vital. | 0:25:47 | 0:25:52 | |
It can help link the murderer to the victim and, in the 1930s, | 0:25:52 | 0:25:57 | |
an area of science was about to enter the forensic realm | 0:25:57 | 0:26:02 | |
that would make estimating time of death much more accurate. | 0:26:02 | 0:26:06 | |
When the body parts were discovered, | 0:26:11 | 0:26:14 | |
they were decomposing and riddled with maggots. | 0:26:14 | 0:26:18 | |
But Glaister didn't just dispose of these, he preserved them. | 0:26:18 | 0:26:23 | |
These are the actual maggots | 0:26:23 | 0:26:25 | |
recovered from the remains of Isabella. | 0:26:25 | 0:26:28 | |
Glaister took them to Dr Alexander Mearns at Glasgow University. | 0:26:30 | 0:26:35 | |
He was an expert in entomology, the study of insects. | 0:26:35 | 0:26:40 | |
From the state of the bodies, it had been estimated that the victims | 0:26:40 | 0:26:44 | |
died around the 19th of September, | 0:26:44 | 0:26:48 | |
but the maggots told a different story. | 0:26:48 | 0:26:51 | |
Using his expertise, | 0:26:52 | 0:26:55 | |
Mearns was able to deduce that the maggots had been hatched from eggs | 0:26:55 | 0:26:59 | |
laid by a bluebottle 12 days before the remains were discovered, | 0:26:59 | 0:27:04 | |
so death must have occurred around the 15th of September. | 0:27:04 | 0:27:08 | |
It was close to the last time that Isabella was seen alive | 0:27:11 | 0:27:15 | |
in Lancaster, just before entering the house | 0:27:15 | 0:27:19 | |
she shared with Buck Ruxton. | 0:27:19 | 0:27:22 | |
Police were convinced that Ruxton killed his wife | 0:27:25 | 0:27:27 | |
late on the 14th of September. | 0:27:27 | 0:27:30 | |
The act was witnessed by the unfortunate maid Mary, | 0:27:32 | 0:27:35 | |
so she too had to die. | 0:27:35 | 0:27:38 | |
He dismembered both bodies in the bathroom, | 0:27:40 | 0:27:44 | |
a fact confirmed when human flesh was found within the plumbing. | 0:27:44 | 0:27:49 | |
He then drove to Moffat and dumped the remains, | 0:27:49 | 0:27:53 | |
where they would be discovered two weeks later. | 0:27:53 | 0:27:56 | |
Ruxton's trial took place on 2nd March 1936 | 0:28:01 | 0:28:06 | |
and science took centre stage. | 0:28:06 | 0:28:09 | |
Each and every discovery was laid out for the jury in the most | 0:28:09 | 0:28:13 | |
extensive display of forensic evidence ever seen | 0:28:13 | 0:28:17 | |
in the British courts | 0:28:17 | 0:28:18 | |
and it destroyed any hope Ruxton may have had of being found not guilty. | 0:28:18 | 0:28:24 | |
At the end of the 11-day trial, the jury were in no doubt. | 0:28:27 | 0:28:32 | |
The two bodies found in this stream were Mary and Isabella | 0:28:32 | 0:28:36 | |
and Ruxton had killed them. | 0:28:36 | 0:28:39 | |
He was sentenced to death. | 0:28:39 | 0:28:41 | |
It was the first time entomology had been used as part of a murder | 0:28:53 | 0:28:57 | |
investigation in the UK. | 0:28:57 | 0:29:00 | |
Today, it's often the only way to estimate the time of death. | 0:29:00 | 0:29:04 | |
Knowing when an insect began to lay eggs on a corpse | 0:29:05 | 0:29:09 | |
allows investigators to establish | 0:29:09 | 0:29:11 | |
the minimum length of time since a murder occurred. | 0:29:11 | 0:29:15 | |
Dr Martin Hall is a forensic entomologist | 0:29:18 | 0:29:21 | |
at the Natural History Museum. | 0:29:21 | 0:29:24 | |
He's assisted the police in over 150 cases, most of them murders. | 0:29:24 | 0:29:30 | |
He's conducting new research | 0:29:35 | 0:29:37 | |
to increase the accuracy of the technique. | 0:29:37 | 0:29:40 | |
Oh! So... | 0:29:42 | 0:29:43 | |
-Not a very pretty sight. -Oh, what a sight. No! | 0:29:43 | 0:29:46 | |
-No, it's not. -But, um... | 0:29:46 | 0:29:48 | |
Martin, just very broadly speaking, | 0:29:48 | 0:29:50 | |
why do you have a pig's head in a suitcase out here? | 0:29:50 | 0:29:54 | |
It might seem a bit bizarre, | 0:29:54 | 0:29:55 | |
but what we're trying to do is to work out | 0:29:55 | 0:29:58 | |
what effect a body being disposed in a suitcase has | 0:29:58 | 0:30:02 | |
on the insect fauna attracted to it. | 0:30:02 | 0:30:05 | |
A postmortem is due to take place this afternoon | 0:30:07 | 0:30:09 | |
after a women's body was found in a suitcase. | 0:30:09 | 0:30:12 | |
A number of recent murder enquiries have begun | 0:30:13 | 0:30:16 | |
with the discovery of a body inside a suitcase. | 0:30:16 | 0:30:20 | |
Martin hopes his research can reveal how this method of disposal | 0:30:20 | 0:30:24 | |
affects his calculations of the time of death, | 0:30:24 | 0:30:28 | |
as a fly can't lay eggs directly on a body | 0:30:28 | 0:30:32 | |
if it's locked behind such a barrier. | 0:30:32 | 0:30:34 | |
He has observed how, instead, | 0:30:35 | 0:30:37 | |
eggs are laid around zips and small holes. | 0:30:37 | 0:30:42 | |
The maggots squeeze their way in through these tiny spaces. | 0:30:42 | 0:30:47 | |
Martin's testing how quickly this happens | 0:30:47 | 0:30:49 | |
in different temperature conditions. | 0:30:49 | 0:30:52 | |
Why aren't there very many insects on this suitcase? | 0:30:54 | 0:30:57 | |
Well, this is literally because | 0:30:57 | 0:30:59 | |
we're doing this for the first time during the winter period. | 0:30:59 | 0:31:02 | |
-Not surprisingly, um, in the winter, there are less flies around. -Hmm. | 0:31:02 | 0:31:06 | |
'To contrast with what would've happened in summer, | 0:31:07 | 0:31:10 | |
'Martin has with him some laboratory-bred maggots | 0:31:10 | 0:31:13 | |
'raised in warmer conditions.' | 0:31:13 | 0:31:16 | |
Certainly, if it was like this during the summer, | 0:31:17 | 0:31:20 | |
we would have a situation like this, | 0:31:20 | 0:31:22 | |
where you have the tissues are very decomposed, | 0:31:22 | 0:31:25 | |
and you can see now, in here, some really large maggots feeding away. | 0:31:25 | 0:31:31 | |
What have you learned from this suitcase research? | 0:31:32 | 0:31:35 | |
Well, we're in the fairly early days of this research at the moment, | 0:31:35 | 0:31:38 | |
but our preliminary trials in the summer | 0:31:38 | 0:31:41 | |
indicated a delay of one-to-three days in insects gaining access | 0:31:41 | 0:31:45 | |
to a body in a suitcase and this first go in the winter | 0:31:45 | 0:31:48 | |
shows that, er, it could be at least two weeks, that delay. | 0:31:48 | 0:31:51 | |
'But there's still one part of the insect life cycle that can | 0:31:54 | 0:31:58 | |
'hamper scientists' efforts to establish time of death.' | 0:31:58 | 0:32:01 | |
As it transforms from maggot to fly, | 0:32:04 | 0:32:07 | |
a larva spends six days inside a pupa. | 0:32:07 | 0:32:11 | |
To see beyond this barrier, | 0:32:13 | 0:32:15 | |
Martin and his colleagues are using CT scanning technology | 0:32:15 | 0:32:19 | |
normally used to look inside the human body. | 0:32:19 | 0:32:23 | |
We're quite good at ageing larvae, | 0:32:24 | 0:32:27 | |
but the pupae themselves, all the changes go on | 0:32:27 | 0:32:29 | |
in an opaque, brown, rugby ball-shaped thing | 0:32:29 | 0:32:33 | |
and you can't see what's happening inside, | 0:32:33 | 0:32:35 | |
unless you actually kill them and dissect them. | 0:32:35 | 0:32:37 | |
The objective of all of this is to be able to age these pupae | 0:32:37 | 0:32:41 | |
to a much greater level of accuracy | 0:32:41 | 0:32:43 | |
than we've been able to do in the past. | 0:32:43 | 0:32:45 | |
I hope that we can improve the accuracy down to about | 0:32:45 | 0:32:49 | |
10% of their age, which, in the summer, would be about one day. | 0:32:49 | 0:32:53 | |
Prior to that, you've probably only got to | 0:32:53 | 0:32:55 | |
within about 2.5 days' accuracy. | 0:32:55 | 0:32:57 | |
So, Martin, if you were to combine the new information | 0:32:57 | 0:33:02 | |
that you've gathered from your research | 0:33:02 | 0:33:04 | |
in dating things on the suitcase with the pig's head in there, | 0:33:04 | 0:33:08 | |
and then this very sophisticated technology, | 0:33:08 | 0:33:11 | |
how could that help you assist the police in a particular crime case? | 0:33:11 | 0:33:16 | |
It all helps us to build up a jigsaw of evidence. | 0:33:16 | 0:33:20 | |
Our part of that jigsaw is to improve the timing of death. | 0:33:20 | 0:33:25 | |
Since the time of Buck Ruxton, | 0:33:29 | 0:33:32 | |
entomology has become a key part of forensic science... | 0:33:32 | 0:33:36 | |
..but it began with a leap of faith on the part of John Glaister. | 0:33:38 | 0:33:41 | |
He was a creative problem solver, | 0:33:43 | 0:33:45 | |
inventing and adopting new techniques | 0:33:45 | 0:33:48 | |
to identify the victims of crimes. | 0:33:48 | 0:33:51 | |
However, the killers were making innovations of their own. | 0:33:52 | 0:33:57 | |
Soon, forensic science would face its toughest challenge yet. | 0:33:59 | 0:34:04 | |
On February the 26th, 1949, | 0:34:12 | 0:34:16 | |
John Haigh was being questioned by police | 0:34:16 | 0:34:19 | |
about the disappearance of a woman - 69-year-old Olive Durand-Deacon. | 0:34:19 | 0:34:25 | |
Haigh was more than willing to help the police with their enquiries. | 0:34:26 | 0:34:31 | |
What he told them was totally unexpected. | 0:34:31 | 0:34:35 | |
"Mrs Durand-Deacon no longer exists. | 0:34:36 | 0:34:40 | |
"She has disappeared completely and no trace can ever be found. | 0:34:40 | 0:34:46 | |
"I have destroyed her with acid. | 0:34:46 | 0:34:49 | |
"Every trace has gone. | 0:34:49 | 0:34:52 | |
"How can YOU prove a murder if there is no body?" | 0:34:52 | 0:34:56 | |
Haigh went on to gleefully detail | 0:35:02 | 0:35:05 | |
how he'd killed Mrs Olive Durand-Deacon. | 0:35:05 | 0:35:08 | |
He lured her to his workshop, shot her in the back of the head | 0:35:08 | 0:35:12 | |
and then dumped her body in a barrel of sulphuric acid. | 0:35:12 | 0:35:17 | |
Three days later, when the acid had dissolved her body, | 0:35:17 | 0:35:21 | |
he returned and simply poured the sludge onto the ground outside. | 0:35:21 | 0:35:26 | |
But his sinister boasting didn't stop there. | 0:35:26 | 0:35:29 | |
He admitted five further murders. | 0:35:33 | 0:35:36 | |
After each killing, | 0:35:39 | 0:35:40 | |
he assumed control of his victim's financial affairs. | 0:35:40 | 0:35:44 | |
Haigh was a serial killer who murdered for money. | 0:35:45 | 0:35:49 | |
Despite his confession, | 0:35:55 | 0:35:56 | |
Haigh was convinced that he'd get away with all six murders. | 0:35:56 | 0:36:01 | |
He fancied himself as a bit of a legal expert and he knew | 0:36:01 | 0:36:04 | |
that the police would need more than just a confession to convict him. | 0:36:04 | 0:36:09 | |
This is because of an aspect of law known as Corpus Delicti, | 0:36:09 | 0:36:13 | |
literally meaning "body of the crime". | 0:36:13 | 0:36:16 | |
Now, Haigh thought that a physical corpse would be needed | 0:36:16 | 0:36:19 | |
to prove that a murder had taken place | 0:36:19 | 0:36:22 | |
and that's why he dissolved his victims' bodies in acid. | 0:36:22 | 0:36:26 | |
Haigh had it wrong. | 0:36:29 | 0:36:31 | |
In law, Corpus Delicti doesn't refer to the physical body of the victim. | 0:36:33 | 0:36:38 | |
It means the body of evidence | 0:36:40 | 0:36:42 | |
that collectively proves a crime has taken place. | 0:36:42 | 0:36:45 | |
Haigh wasn't as immune to prosecution as he thought. | 0:36:47 | 0:36:52 | |
So, somewhat bizarrely, the police were tasked with the job | 0:36:54 | 0:36:58 | |
of finding corroborating evidence to support Haigh's confession. | 0:36:58 | 0:37:03 | |
But how do you do that with nothing more than a pile of sludge? | 0:37:03 | 0:37:07 | |
Police called in eminent pathologist Keith Simpson. | 0:37:11 | 0:37:15 | |
To him, Haigh's arrogance was like a red rag to a bull. | 0:37:15 | 0:37:21 | |
He set out to prove that the sludge | 0:37:22 | 0:37:25 | |
was indeed the remains of Olive Durand-Deacon. | 0:37:25 | 0:37:28 | |
At the murder scene, Simpson was lead to the patch of greasy sludge | 0:37:33 | 0:37:38 | |
that Haigh claimed were the remains of Olive Durand-Deacon. | 0:37:38 | 0:37:43 | |
At first, it didn't look very promising. | 0:37:43 | 0:37:45 | |
But then, he had an idea. | 0:37:45 | 0:37:48 | |
Focusing his mind on the victim, he wondered - what, if anything, | 0:37:48 | 0:37:53 | |
would survive of a body after three days in an acid bath? | 0:37:53 | 0:37:57 | |
And then, meticulously, he began to search every inch of the ground. | 0:37:57 | 0:38:03 | |
Finally, he found something - | 0:38:04 | 0:38:07 | |
a bright red stone. | 0:38:07 | 0:38:09 | |
Now, to the police, this just looked like another piece of gravel, | 0:38:09 | 0:38:14 | |
but Simpson knew this was a key piece of evidence | 0:38:14 | 0:38:17 | |
that would help him convict Haigh. | 0:38:17 | 0:38:19 | |
What Simpson was looking for | 0:38:23 | 0:38:25 | |
was some part of Mrs Durand-Deacon's body | 0:38:25 | 0:38:29 | |
that would resist the corrosive effects of the acid. | 0:38:29 | 0:38:32 | |
To demonstrate Simpson's thinking, | 0:38:34 | 0:38:37 | |
what I've got here is two beakers of acid | 0:38:37 | 0:38:40 | |
and, into them, I'm going to put a couple of soluble aspirin. | 0:38:40 | 0:38:44 | |
One in there... | 0:38:44 | 0:38:46 | |
and one in here. | 0:38:46 | 0:38:48 | |
Now what you can immediately see is that, | 0:38:48 | 0:38:52 | |
while this one's fizzing away, because the acid is dissolving it, | 0:38:52 | 0:38:56 | |
absolutely nothing is happening inside this one, and that's because | 0:38:56 | 0:39:00 | |
I've coated it with a layer of fat, in this case lard. | 0:39:00 | 0:39:05 | |
Now, when I was at medical school, | 0:39:05 | 0:39:07 | |
we were taught that a fat, fertile, fair, female of 40 | 0:39:07 | 0:39:12 | |
was the perfect candidate to get something called gallstones. | 0:39:12 | 0:39:16 | |
Simpson knew that Olive was overweight, elderly and sedentary, | 0:39:16 | 0:39:20 | |
and he thought she too | 0:39:20 | 0:39:22 | |
would be just the kind of person who might get them. | 0:39:22 | 0:39:25 | |
Just like fat, gallstones are resistant to the effects of acid. | 0:39:28 | 0:39:32 | |
The small, facetted red stone that he had found | 0:39:34 | 0:39:38 | |
wasn't just a piece of gravel, it was a human gallstone | 0:39:38 | 0:39:44 | |
and it was the first piece of evidence that really proved | 0:39:44 | 0:39:48 | |
that what had appeared like just a pile of sludge | 0:39:48 | 0:39:51 | |
was in fact a human body. | 0:39:51 | 0:39:54 | |
Convinced these were human remains, | 0:39:58 | 0:40:00 | |
Simpson had the mixture of sludge and dirt - | 0:40:00 | 0:40:03 | |
in total nearly 100kg - sent back to the laboratory to be analysed. | 0:40:03 | 0:40:10 | |
Sifting through the sludge like this, | 0:40:12 | 0:40:14 | |
they were able to find 18 fragments of human bone. | 0:40:14 | 0:40:19 | |
X-ray analysis showed that the fragments were fragile | 0:40:20 | 0:40:24 | |
even before they went in the acid, with signs of osteoarthritis. | 0:40:24 | 0:40:29 | |
This is a condition that's suffered by elderly people | 0:40:29 | 0:40:32 | |
and he knew that Olive had been 69 at the time of her disappearance. | 0:40:32 | 0:40:36 | |
Simpson had established the presence of human remains | 0:40:40 | 0:40:44 | |
and the likely age of the victim, | 0:40:44 | 0:40:47 | |
but could he now prove that the person in the sludge was female? | 0:40:47 | 0:40:51 | |
Of all the bones in the human body, | 0:40:53 | 0:40:55 | |
none shows the variation between the sexes more clearly than the pelvis. | 0:40:55 | 0:41:00 | |
I've got a female pelvis here and also a male one. | 0:41:00 | 0:41:04 | |
The female pelvis is broad, | 0:41:04 | 0:41:07 | |
to assist in childbirth, | 0:41:07 | 0:41:09 | |
whereas the male pelvis has got a much more | 0:41:09 | 0:41:12 | |
acute angle at the pubic arch and, because the man doesn't need | 0:41:12 | 0:41:15 | |
to have babies, it's narrow at the pelvic outlet. | 0:41:15 | 0:41:18 | |
Now it's pretty obvious, when you look at the differences | 0:41:18 | 0:41:21 | |
on this big a scale, what they are. | 0:41:21 | 0:41:23 | |
But all that Simpson had to go by was a tiny fragment of bone. | 0:41:24 | 0:41:29 | |
Fortunately, what he found in that fragment | 0:41:29 | 0:41:32 | |
was a section of a groove called the preauricular sulcus. | 0:41:32 | 0:41:36 | |
This is more marked in women than men | 0:41:36 | 0:41:39 | |
and, from this, Simpson was able to tell that the victim was female. | 0:41:39 | 0:41:44 | |
But there was a further clue to be found. | 0:41:46 | 0:41:49 | |
Over two stone of human fat were extracted from the sludge. | 0:41:52 | 0:41:56 | |
The victim was obviously portly... | 0:41:59 | 0:42:01 | |
..just like Olive Durand-Deacon. | 0:42:04 | 0:42:08 | |
From within the sludge, Simpson and his team | 0:42:08 | 0:42:11 | |
had managed to resurrect the figure of an overweight elderly lady, | 0:42:11 | 0:42:16 | |
who suffered from gallstones and arthritis, | 0:42:16 | 0:42:20 | |
and she had been dissolved in sulphuric acid. | 0:42:20 | 0:42:23 | |
Under Simpson's forensic gaze, | 0:42:28 | 0:42:31 | |
the sludge was revealed as a match for the missing woman. | 0:42:31 | 0:42:35 | |
It was enough to corroborate Haigh's confession. | 0:42:35 | 0:42:38 | |
John Haigh was hanged here, at Wandsworth Prison, | 0:42:47 | 0:42:50 | |
on the 6th of August, 1949. | 0:42:50 | 0:42:53 | |
The case of the Acid Bath Murderer | 0:42:53 | 0:42:56 | |
became a powerful advertisement for the skills of forensic scientists. | 0:42:56 | 0:43:01 | |
There could no longer be any doubt. | 0:43:03 | 0:43:05 | |
To prove a murder, you didn't need a body. | 0:43:05 | 0:43:08 | |
In the century between the killing of George Parkman | 0:43:13 | 0:43:16 | |
and the Acid Bath Murderer, | 0:43:16 | 0:43:18 | |
forensic science had developed into a formidable force for justice. | 0:43:18 | 0:43:23 | |
Murder victims now rarely stayed anonymous for long, | 0:43:25 | 0:43:29 | |
but identifying a killer | 0:43:29 | 0:43:31 | |
directly from evidence left at a crime scene | 0:43:31 | 0:43:34 | |
was still only possible from fingerprints. | 0:43:34 | 0:43:38 | |
What would change this was perhaps | 0:43:39 | 0:43:41 | |
the most crucial breakthrough in the history of forensic science. | 0:43:41 | 0:43:47 | |
It came nearly four decades after the execution of John Haigh, | 0:43:47 | 0:43:51 | |
on the back of a particularly harrowing case. | 0:43:51 | 0:43:55 | |
On the 31st of July, 1986, | 0:43:58 | 0:44:01 | |
the body of a schoolgirl, Dawn Ashworth, | 0:44:01 | 0:44:05 | |
was discovered here in a secluded area of Enderby, | 0:44:05 | 0:44:09 | |
a village just outside Leicester. | 0:44:09 | 0:44:12 | |
She'd been raped and strangled. | 0:44:12 | 0:44:15 | |
Almost immediately, the police named their prime suspect - | 0:44:15 | 0:44:19 | |
a 17-year-old boy called Richard Buckland, who'd been spotted | 0:44:19 | 0:44:23 | |
acting suspiciously near where Dawn's body was found | 0:44:23 | 0:44:26 | |
and who appeared to know details of the crime | 0:44:26 | 0:44:29 | |
that weren't public knowledge. | 0:44:29 | 0:44:31 | |
As soon as the police got him in for questioning, | 0:44:33 | 0:44:36 | |
he confessed to the murder, | 0:44:36 | 0:44:39 | |
but his confession raised a difficult question for the police. | 0:44:39 | 0:44:43 | |
Was he responsible for, not one murder, but two? | 0:44:46 | 0:44:50 | |
Three years earlier, the body of 15-year-old Lynda Mann | 0:44:52 | 0:44:56 | |
had been found in the nearby village of Narborough. | 0:44:56 | 0:44:59 | |
She'd also been raped and strangled. | 0:45:01 | 0:45:03 | |
Police were absolutely convinced | 0:45:07 | 0:45:09 | |
the same man was responsible for both murders... | 0:45:09 | 0:45:12 | |
..but Richard Buckland refused to confess to the earlier murder. | 0:45:13 | 0:45:18 | |
The police didn't have enough evidence | 0:45:23 | 0:45:25 | |
to directly connect Buckland to the murder of Lynda Mann, | 0:45:25 | 0:45:29 | |
but they did have something else - | 0:45:29 | 0:45:31 | |
semen samples taken from both crime scenes - and this gave them an idea. | 0:45:31 | 0:45:38 | |
They'd heard about a brand-new method | 0:45:38 | 0:45:40 | |
for establishing paternity with DNA being pioneered | 0:45:40 | 0:45:44 | |
by Dr Alec Jeffreys and his team at the University of Leicester. | 0:45:44 | 0:45:49 | |
Desperate for a break, they decided to call Dr Jeffreys | 0:45:49 | 0:45:53 | |
and ask him the million dollar question - | 0:45:53 | 0:45:56 | |
could his technology be used, not for establishing a father, | 0:45:56 | 0:46:01 | |
but for catching a killer? | 0:46:01 | 0:46:03 | |
'It was a question no-one had asked him before, | 0:46:07 | 0:46:11 | |
'but he was far from confident | 0:46:11 | 0:46:12 | |
'that his new DNA techniques would work within a police investigation.' | 0:46:12 | 0:46:17 | |
Well, it was out of the blue and actually quite terrifying | 0:46:19 | 0:46:22 | |
because we knew, in principle, we had a technology that might be | 0:46:22 | 0:46:25 | |
applicable to forensics, but nobody had ever done it. | 0:46:25 | 0:46:27 | |
-Mm-hm. -It had never been applied in anger | 0:46:27 | 0:46:29 | |
in a real live murder investigation, | 0:46:29 | 0:46:31 | |
so I accepted to take on the case | 0:46:31 | 0:46:34 | |
in the full expectation of getting absolutely nothing out of it. | 0:46:34 | 0:46:37 | |
This was going to be a big shot in the dark. | 0:46:37 | 0:46:39 | |
Jeffreys and his team | 0:46:42 | 0:46:44 | |
were given samples taken from both crime scenes. | 0:46:44 | 0:46:48 | |
They analysed them using a new technique they'd developed | 0:46:48 | 0:46:52 | |
called DNA profiling. | 0:46:52 | 0:46:55 | |
This technology represented an individual's genetic code | 0:46:55 | 0:47:00 | |
as a two-band pattern. | 0:47:00 | 0:47:03 | |
It may look simple, but the chances of two unrelated people | 0:47:03 | 0:47:07 | |
having the same profile are millions to one. | 0:47:07 | 0:47:12 | |
The entire case would rest on this ground-breaking work. | 0:47:12 | 0:47:17 | |
These are the original set of DNA profiles from this case, | 0:47:19 | 0:47:23 | |
so, if we look through here, this is the first victim | 0:47:23 | 0:47:28 | |
-and what you see here is a two-band DNA profile. -So this is Lynda Mann, | 0:47:28 | 0:47:32 | |
-who was the first girl that was murdered? -That's correct, yes, yeah. | 0:47:32 | 0:47:35 | |
'This second track was made with a sample | 0:47:36 | 0:47:39 | |
'taken from Lynda's body after she'd been raped. | 0:47:39 | 0:47:43 | |
'Again, her own DNA profile is clearly visible, | 0:47:43 | 0:47:48 | |
'but this time, it's not the only one.' | 0:47:48 | 0:47:52 | |
But you also see another two bands up here, | 0:47:53 | 0:47:56 | |
which must be the DNA profile of the semen from the assailant. | 0:47:56 | 0:48:00 | |
We now move to the second victim. | 0:48:02 | 0:48:05 | |
-So Dawn Ashworth? -Dawn Ashworth. -Yeah. -So, you see her DNA profile - | 0:48:05 | 0:48:09 | |
-completely different from this profile... -Yes. -..and that profile. | 0:48:09 | 0:48:12 | |
'This profile here was obtained | 0:48:13 | 0:48:16 | |
'from small amounts of semen recovered alongside Dawn's body.' | 0:48:16 | 0:48:20 | |
If one looks very carefully, there's trace amounts of semen in there. | 0:48:22 | 0:48:26 | |
You can see a two-band DNA profile there, that doesn't match the victim, | 0:48:26 | 0:48:30 | |
so it must be from the perpetrator and, much more importantly, | 0:48:30 | 0:48:33 | |
that profile seems to match the profile of the first victim. | 0:48:33 | 0:48:37 | |
The police were right - | 0:48:38 | 0:48:40 | |
the same man had committed both murders - | 0:48:40 | 0:48:43 | |
but there was a problem. | 0:48:43 | 0:48:45 | |
The DNA profile of their prime suspect, Richard Buckland, | 0:48:45 | 0:48:50 | |
didn't match the unknown assailant. | 0:48:50 | 0:48:53 | |
He couldn't be the killer of Dawn Ashworth and Lynda Mann. | 0:48:53 | 0:48:58 | |
This is a really important point, | 0:48:58 | 0:49:00 | |
that the first time DNA was ever used in anger in a criminal investigation | 0:49:00 | 0:49:04 | |
was not to establish guilt, it was to establish innocence. | 0:49:04 | 0:49:07 | |
And I think, given this young man's confession | 0:49:07 | 0:49:10 | |
and some circumstantial evidence surrounding the case, | 0:49:10 | 0:49:13 | |
my guess, he would've been found guilty | 0:49:13 | 0:49:15 | |
and jailed for the rest of his life for those offences, | 0:49:15 | 0:49:18 | |
and the true perpetrator would've been left free to carry on offending. | 0:49:18 | 0:49:21 | |
Richard Buckland became the first person in history | 0:49:25 | 0:49:29 | |
to be exonerated on the basis of DNA... | 0:49:29 | 0:49:32 | |
..but that meant the killer was still out there. | 0:49:34 | 0:49:37 | |
Police realised that, if DNA could be used to prove innocence, | 0:49:39 | 0:49:43 | |
it could also be used to establish guilt, | 0:49:43 | 0:49:47 | |
and they embarked on the world's first-ever DNA manhunt. | 0:49:47 | 0:49:52 | |
The police were convinced that the murderer was a local man. | 0:49:53 | 0:49:58 | |
Over 5,000 men in the area had blood and saliva samples taken | 0:49:58 | 0:50:03 | |
and a DNA profile was established for each and every one of them. | 0:50:03 | 0:50:07 | |
The whole process took more than six months | 0:50:09 | 0:50:12 | |
and was known by the press as The Blooding. | 0:50:12 | 0:50:15 | |
But not a single profile matched the samples | 0:50:17 | 0:50:20 | |
recovered from Dawn Ashworth and Lynda Mann. | 0:50:20 | 0:50:24 | |
It looked as if the murderer had got away scot-free. | 0:50:24 | 0:50:28 | |
MUSIC: True Faith by New Order | 0:50:28 | 0:50:32 | |
Now the police were in desperate need of a break. | 0:50:33 | 0:50:37 | |
In August 1987, a group of bakery workers | 0:50:46 | 0:50:49 | |
were enjoying a lunchtime drink when one of them, | 0:50:49 | 0:50:52 | |
Ian Kelly, started to tell an interesting story about the case. | 0:50:52 | 0:50:57 | |
He described how he'd been approached by another one of | 0:50:57 | 0:51:01 | |
their colleagues, Colin Pitchfork, with a very strange proposition. | 0:51:01 | 0:51:05 | |
Pitchfork said that he'd already given a blood sample | 0:51:07 | 0:51:10 | |
to the police to cover for a friend of his | 0:51:10 | 0:51:12 | |
who was a bit worried he might be framed for the murders, | 0:51:12 | 0:51:16 | |
and now he, Pitchfork, was concerned that he | 0:51:16 | 0:51:19 | |
was going to get into trouble for this small act of kindness. | 0:51:19 | 0:51:23 | |
On the basis of his plea, and for a small amount of £200, | 0:51:23 | 0:51:27 | |
Ian Kelly had agreed to take the DNA test for him. | 0:51:27 | 0:51:31 | |
Listening to this story was a female bakery worker, | 0:51:33 | 0:51:37 | |
who was very concerned by what she heard, | 0:51:37 | 0:51:39 | |
and her concerns preyed on her mind for weeks | 0:51:39 | 0:51:42 | |
until eventually she took them to the police. | 0:51:42 | 0:51:45 | |
This was the breakthrough they'd been looking for. | 0:51:46 | 0:51:49 | |
Colin Pitchfork, a local 27-year-old baker, | 0:51:53 | 0:51:56 | |
was swiftly arrested. | 0:51:56 | 0:51:58 | |
A sample of his DNA was sent for analysis. | 0:51:58 | 0:52:02 | |
Having got the wrong man first-time round, obviously there was | 0:52:04 | 0:52:07 | |
a slight concern they'd got the wrong person second-time round, | 0:52:07 | 0:52:10 | |
so it was a big relief when the phone call came through and said, | 0:52:10 | 0:52:13 | |
"Yes, we've got a full DNA match... | 0:52:13 | 0:52:15 | |
"with semen from both of these victims. | 0:52:15 | 0:52:17 | |
"This is definitely your man." | 0:52:17 | 0:52:19 | |
On the 22nd of January, 1988, | 0:52:23 | 0:52:26 | |
Colin Pitchfork was convicted of the murders of Dawn Ashworth | 0:52:26 | 0:52:30 | |
and Lynda Mann, | 0:52:30 | 0:52:33 | |
and sentenced to life imprisonment. | 0:52:33 | 0:52:35 | |
He became the first person ever to be convicted of murder | 0:52:37 | 0:52:41 | |
on the basis of genetic evidence. | 0:52:41 | 0:52:44 | |
Nearly 30 years after this pivotal case, | 0:52:58 | 0:53:01 | |
we're now on the verge of another revolution in forensic DNA analysis. | 0:53:01 | 0:53:07 | |
Scientists are attempting something that was once thought impossible - | 0:53:08 | 0:53:13 | |
to recreate a face from DNA. | 0:53:13 | 0:53:16 | |
It's called Molecular Photofitting and though it | 0:53:20 | 0:53:24 | |
sounds like science fiction, it could soon be a forensic reality. | 0:53:24 | 0:53:29 | |
I'm on my way to Belgium to meet a team of researchers | 0:53:29 | 0:53:32 | |
who believe they could make it happen. | 0:53:32 | 0:53:34 | |
If they succeed, | 0:53:38 | 0:53:40 | |
the face of a killer could be obtained directly from DNA | 0:53:40 | 0:53:44 | |
left at a crime scene and, today, | 0:53:44 | 0:53:46 | |
I'm playing the part of the criminal. | 0:53:46 | 0:53:49 | |
Eight weeks ago, DNA was extracted from my saliva | 0:53:51 | 0:53:54 | |
and the results sent anonymously to a group of scientists. | 0:53:54 | 0:53:59 | |
They're now using that data to build a picture of my face | 0:54:00 | 0:54:05 | |
as predicted by my genes. | 0:54:05 | 0:54:08 | |
The question is - will it look anything like me? | 0:54:08 | 0:54:11 | |
I'm curious to arrive in Belgium now. | 0:54:15 | 0:54:17 | |
It could be because I was just rubbish at genetics | 0:54:17 | 0:54:20 | |
at medical school and never really understood how it all worked. | 0:54:20 | 0:54:24 | |
I just fail to understand how someone could take | 0:54:24 | 0:54:27 | |
a sample of my saliva and turn that into a picture of me. | 0:54:27 | 0:54:31 | |
I'm meeting Dr Peter Claes, | 0:54:40 | 0:54:42 | |
a medical-imaging specialist at the University of Leuven. | 0:54:42 | 0:54:46 | |
Along with colleagues in the USA, | 0:54:47 | 0:54:49 | |
he has built up a database of faces and DNA. | 0:54:49 | 0:54:54 | |
Armed with this, he's able to model how a face is constructed | 0:54:54 | 0:54:58 | |
based on just 20 genes. | 0:54:58 | 0:55:01 | |
I know that, eight weeks ago, he was sent a sample of my DNA | 0:55:04 | 0:55:07 | |
from my saliva and now the moment has arrived | 0:55:07 | 0:55:11 | |
when I'm going to go into this room | 0:55:11 | 0:55:13 | |
and see if the face, the model of the face that he's come up with | 0:55:13 | 0:55:18 | |
purely on the base of my spit, looks anything like me. | 0:55:18 | 0:55:23 | |
Gosh, is that really me? | 0:55:32 | 0:55:34 | |
I can see the eyes are my eye colour and...does it look like me, Peter? | 0:55:35 | 0:55:40 | |
I think it does in several aspects. | 0:55:40 | 0:55:43 | |
I can tell you that your eyebrows are indeed sticking more... | 0:55:43 | 0:55:46 | |
forward more and your chin as well, | 0:55:46 | 0:55:49 | |
so you have a very prominent, specific chin compared to | 0:55:49 | 0:55:52 | |
an average European female, | 0:55:52 | 0:55:54 | |
which is, in my eyes, not a bad result. | 0:55:54 | 0:55:57 | |
You have very flat cheeks but, of course, that's a tricky area | 0:55:57 | 0:56:02 | |
to actually predict accurately because it's heavily influenced | 0:56:02 | 0:56:05 | |
by your diet, which is an environmental factor. | 0:56:05 | 0:56:08 | |
The nose could have been better. | 0:56:08 | 0:56:10 | |
And, in fact, I broke my nose when I was younger, | 0:56:10 | 0:56:13 | |
so that might explain why the nose doesn't exactly match. | 0:56:13 | 0:56:16 | |
Exactly, it's an environmental effect on your face, | 0:56:16 | 0:56:19 | |
which is clearly not coded in your DNA | 0:56:19 | 0:56:22 | |
and hence it was not revealed by the prediction. | 0:56:22 | 0:56:25 | |
If we superimpose this predicted face over a photo, | 0:56:25 | 0:56:30 | |
the accuracy of the technique is revealed | 0:56:30 | 0:56:34 | |
and seeing this likeness of me is truly uncanny. | 0:56:34 | 0:56:39 | |
The eyes, nose, mouth and chin are all roughly in the right place, | 0:56:40 | 0:56:45 | |
but the features are more rounded than in reality. | 0:56:45 | 0:56:48 | |
Police couldn't publish a Molecular Photofit like this | 0:56:49 | 0:56:52 | |
and hope to catch a killer... | 0:56:52 | 0:56:54 | |
..but that's not how Peter sees the technique being used | 0:56:55 | 0:56:58 | |
in a criminal investigation. | 0:56:58 | 0:57:00 | |
If I would bring this result to an investigator, | 0:57:02 | 0:57:05 | |
I wouldn't necessarily give him the image to be broadcast, | 0:57:05 | 0:57:09 | |
I would talk to him and say, "OK, what you're looking for is | 0:57:09 | 0:57:11 | |
"indeed a European female, but with particular eyebrows and chin." | 0:57:11 | 0:57:17 | |
That information is already of high value because it can focus | 0:57:17 | 0:57:21 | |
the investigation on looking for such a person. | 0:57:21 | 0:57:24 | |
This may be new science, | 0:57:27 | 0:57:29 | |
but Peter and his colleagues are rapidly developing the technology. | 0:57:29 | 0:57:33 | |
The number of genes used is being expanded from 20... | 0:57:34 | 0:57:40 | |
to 200. | 0:57:40 | 0:57:41 | |
Molecular Photofitting is only going to become | 0:57:42 | 0:57:46 | |
more accurate in the coming years. | 0:57:46 | 0:57:48 | |
And, as we've seen from history, all it will take is one case, | 0:57:50 | 0:57:56 | |
one key breakthrough, | 0:57:56 | 0:57:58 | |
to establish it on the forensic stage. | 0:57:58 | 0:58:01 | |
Next time, crime scenes. | 0:58:07 | 0:58:10 | |
I'll discover how mud can catch a killer, | 0:58:10 | 0:58:13 | |
I'll try to make sense of blood-spatter patterns | 0:58:13 | 0:58:17 | |
and I'll scrutinise the single thumb print that hanged two men. | 0:58:17 | 0:58:22 | |
Delve deeper with the Open University | 0:58:22 | 0:58:25 | |
and find out more about the science behind forensics. | 0:58:25 | 0:58:29 | |
Go to... | 0:58:29 | 0:58:30 | |
..and follow the links to the Open University. | 0:58:34 | 0:58:37 |