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<title>Exame pericial de reprodu=E7=E3o simulada em crimes contra a vida: u=
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<meta name=3D"author" content=3D"Hugo Lincoln Martins">
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<div id=3D"articulo">
<div id=3D"front">
<div id=3D"articulo-categoria">
<p>Artigos</p>
</div>
<div id=3D"articulo-meta">
<p class=3D"articulo-titulo">Exame pericial de reprodu=E7=E3o simulada em c=
rimes contra a vida: uma proposta de aprimoramento metodol=F3gico</p>
</div>
<div id=3D"articulo-acerca">
<div id=3D"ficha-general">
<div id=3D"autores-articulo">
<div class=3D"autor western">
<div class=3D"nombre-completo">
<a href=3D"http://buscatextual.cnpq.br/buscatextual/visualizacv.do?id=3Dhtt=
p://lattes.cnpq.br/8955498570195313"><img style=3D"width:14px; height:14px;=
" src=3D"https://www.redalyc.org/journal/img/LATTESLOGO.png"></a>  <span cl=
ass=3D"nombre">Hugo</span> <span class=3D"apellidos">Lincoln Martins</span>=
 <span class=3D"collab"></span><span class=3D"email"> peritohugo@gmail.com<=
/span>
</div>
<div>
<span class=3D"institucion"> Superintend=EAncia de Pol=EDcia</span>, <span =
class=3D"pais">Brasil</span>
</div>
</div>
<div class=3D"autor western">
<div class=3D"nombre-completo">
<a href=3D"http://buscatextual.cnpq.br/buscatextual/visualizacv.do?id=3Dhtt=
p://lattes.cnpq.br/5215475207708816"><img style=3D"width:14px; height:14px;=
" src=3D"https://www.redalyc.org/journal/img/LATTESLOGO.png"></a>  <span cl=
ass=3D"nombre">Guilherme</span> <span class=3D"apellidos">Henrique Braga de=
 Miranda</span> <span class=3D"collab"></span><span class=3D"email"> profes=
sorguilhermedemiranda@gmail.com</span>
</div>
<div>
<span class=3D"institucion">  Pol=EDcia Federal</span>, <span class=3D"pais=
">Brasil</span>
</div>
</div>
</div>
<div class=3D"ficha">
<p class=3D"art-title">Exame pericial de reprodu=E7=E3o simulada em crimes =
contra a vida: uma proposta de aprimoramento metodol=F3gico</p>
<p class=3D"numero">
<span class=3D"journal">Revista Brasileira de Ci=EAncias Policiais</span><s=
pan class=3D"issue"><span class=3D"volume">, vol.  13</span>, n=FAm.  10</s=
pan><span class=3D"year">, 2022</span>
</p>
<p class=3D"publisher">Academia Nacional de Pol=EDcia</p>
</div>
<div class=3D"creative">
<div></div>
<div></div>
</div>
<div id=3D"articulo-product"></div>
<div class=3D"fechas-h">
<p class=3D"recepcion">
<span class=3D"word-black">Recepci=F3n: </span> 04 Diciembre  2021</p>
<p class=3D"aprobacion">
<span class=3D"word-black">Aprobaci=F3n: </span> 06 Agosto  2022</p>
</div>
<div class=3D"url-r"></div>
<div class=3D"financiamientos-r"></div>
</div>
<p class=3D"articulo-resumen">
<span class=3D"resumen negrita">Resumo:
							                           </span><span class=3D"capital">O presente=
 artigo versa sobre o Exame de Reprodu=E7=E3o Simulada em Crimes Contra a V=
ida. Esse exame visa analisar a viabilidade de vers=F5es relacionadas a det=
erminado fato delituoso. Utilizou-se da metodologia de estudo de casos, a p=
artir de cinco laudos periciais compilados de diferentes estados, retratand=
o crimes de natureza distintas. Nesses laudos foram analisados diversos asp=
ectos metodol=F3gicos aplicados, partindo-se da hip=F3tese de que n=E3o hav=
ia uma sistematiza=E7=E3o bem definida para esse tipo de exame. Os resultad=
os evidenciaram a falta de padroniza=E7=E3o e, a partir disso, foi proposta=
 uma forma estruturada de execu=E7=E3o do trabalho, desde a fase inicial, d=
e planejamento, passando pelas etapas de execu=E7=E3o do exame, at=E9 chega=
r ao laudo pericial. Esse importante documento teve os t=F3picos principais=
 sugeridos, a partir dos casos analisados, somados =E0 experi=EAncia do aut=
or. A pesquisa de cunho qualitativo resultou num manual objetivo, capaz de =
nortear a realiza=E7=E3o desse tipo de exame, bem como de minimizar eventua=
is falhas, contribuindo para um trabalho integralmente eficaz.</span>
</p>
<p class=3D"articulo-palabras">
<span class=3D"resumen negrita">Palavras-chave: </span>reprodu=E7=E3o simul=
ada, sistematiza=E7=E3o, exame pericial, laudo pericial.
		                         </p>
<p class=3D"articulo-resumen-traduccion">
<span class=3D"resumen negrita">Abstract:
						                           </span><span class=3D"capital">This articl=
e deals with the Crime Scene Reconstruction in Crimes Against Life. This ex=
amination aims to analyze the feasibility of versions related to a certain =
crime. The case study methodology was used based on five expert reports com=
piled from different states, portraying crimes of different nature. In thes=
e reports, several methodological aspects applied were analyzed, starting f=
rom the hypothesis that there was no well-defined systematization for this =
exam. The results showed the lack of standardization and from that, an orga=
nized way of carrying out the work was proposed, from the initial planning =
phase, through the stages of execution of the exam, until reaching the expe=
rt report. This important document had the main topics suggested, based on =
the analyzed cases, added to the author's experience. The qualitative resea=
rch resulted in an objective manual, capable of guiding the performance of =
this type of examination, as well as minimizing possible failures, contribu=
ting to a fully effective work.</span>
</p>
<p class=3D"articulo-palabras-traduccion">
<span class=3D"resumen negrita">Keywords: </span>Crime scene reconstruction=
, systematization, expert examination, forensic report.
                                </p>
<p class=3D"articulo-resumen-traduccion">
<span class=3D"resumen negrita">Resumen:
						                           </span><span class=3D"capital">Este art=ED=
culo trata sobre la Reconstrucci=F3n de Escena Del Crimen en Delitos contra=
 la Vida. Este examen tiene como objetivo analizar la viabilidad de las ver=
siones relacionadas con un determinado delito. Se utiliz=F3 una metodolog=
=EDa de estudio de caso, basada en cinco informes forenses recopilados de d=
iferentes estados, que describen delitos de diferente naturaleza. En estos =
informes se analizaron varios aspectos metodol=F3gicos aplicados, partiendo=
 de la hip=F3tesis de que no exist=EDa una sistematizaci=F3n bien definida =
para este tipo de examen. Los resultados evidenciaron la falta de estandari=
zaci=F3n y a partir de ello se plante=F3 una forma estructurada de realizac=
i=F3n del trabajo, desde la fase de planificaci=F3n inicial, pasando por la=
s etapas de ejecuci=F3n del examen, hasta llegar al informe pericial. Este =
importante documento tuvo los principales temas sugeridos, con base en los =
casos analizados, sumado a la experiencia del autor. La investigaci=F3n cua=
litativa result=F3 en un manual objetivo, capaz de orientar la realizaci=F3=
n de este tipo de examen, as=ED como minimizar posibles fallas, contribuyen=
do para un trabajo plenamente efectivo.</span>
</p>
<p class=3D"articulo-palabras-traduccion">
<span class=3D"resumen negrita">Palabras clave: </span>Reconstrucci=F3n de =
escena del crimen, sistematizaci=F3n, examen de expertos, informe forense.
                                </p>
</div>
</div>
<div id=3D"articulo-body">
<p class=3D"negrita seccion">Exame pericial de reprodu=E7=E3o simulada em c=
rimes contra a vida: uma proposta de aprimoramento metodol=F3gico</p>
<p class=3D"negrita seccion">
<span class=3D"negrita">1. INTRODU=C7=C3O</span>
</p>
<p class=3D"sangria">No sistema de persecu=E7=E3o penal brasileiro, tem rel=
evante destaque a per=EDcia criminal, encarregada que =E9 de analisar cenas=
 de crimes, suas v=EDtimas e objetos relacionados, visando produzir a chama=
da prova material, fundamental na comprova=E7=E3o da inoc=EAncia ou na cond=
ena=E7=E3o de um suspeito.</p>
<p class=3D"sangria">A produ=E7=E3o dessa prova se reveste de ainda maior i=
mport=E2ncia em um pa=EDs com altas taxas de criminalidade e baixos =EDndic=
es de esclarecimento de crimes, como =E9 o caso do Brasil.</p>
<p class=3D"sangria">Nesse aspecto, dados do Anu=E1rio Brasileiro de Segura=
n=E7a P=FAblica (2020) trazem em n=FAmeros absolutos um total de 21.764 cas=
os de homic=EDdios dolosos, 719 de latroc=EDnio, 375 de les=E3o corporal se=
guida de morte, al=E9m de 110 casos de policiais civis e militares mortos e=
m atua=E7=E3o, somente no primeiro semestre de 2020.</p>
<p class=3D"sangria">Por sua vez, estudo realizado pelo Instituto Sou da Pa=
z denominado =93Onde mora a impunidade? Porque o Brasil precisa de um Indic=
ador Nacional de Esclarecimento de Homic=EDdios=94 (2020), traz =E0 luz uma=
 taxa m=E9dia de esclarecimentos para esse tipo penal de cerca de 30%, cons=
iderando 11 unidades federativas que enviaram os dados necess=E1rios para o=
 estudo, com varia=E7=F5es consider=E1veis que v=E3o de 11% no Rio de Janei=
ro a 92% no Distrito Federal.</p>
<p class=3D"sangria">Diante desse panorama, o presente artigo aborda um dos=
 meios de produ=E7=E3o de provas na apura=E7=E3o de um delito, que =E9 o Ex=
ame Pericial de Reprodu=E7=E3o Simulada de Fatos (RSF), popularmente conhec=
ido como =93reconstitui=E7=E3o=94, delimitado aos casos de crimes contra a =
vida, infelizmente, frequentes na realidade nacional, como mostram os n=FAm=
eros acima.</p>
<p class=3D"sangria">A depender do crime investigado, como em caso de homic=
=EDdios consumados ou tentados, a autoridade policial pode determinar a rea=
liza=E7=E3o da reconstitui=E7=E3o do crime, que funciona como importante me=
io de prova, notadamente para esclarecer a din=E2mica do fato delituoso, au=
xiliando na forma=E7=E3o do convencimento do juiz ou dos jurados <a href=3D=
"http://marcalyc.redalyc.org/journal/6734/673472350001/html/index.html#reda=
lyc_673472350001_ref15">(LIMA, 2021)</a>.</p>
<p class=3D"sangria">Ao abordar o tema, n=E3o h=E1 como deixar de fazer men=
=E7=E3o ao conhecido caso de Isabella Nardoni, ocorrido em 2008, envolvendo=
 a morte por precipita=E7=E3o de uma crian=E7a de 5 anos de idade e tendo c=
omo ent=E3o suspeitos o pai e a madrasta, os quais foram condenados ao fina=
l do processo por homic=EDdio triplamente qualificado. Este trata-se de ver=
dadeiro divisor de =E1guas na hist=F3ria da per=EDcia criminal nacional, po=
r levar, diuturnamente, para milh=F5es de telespectadores at=F4nitos, as im=
agens do trabalho pericial sendo realizado, sobretudo, as simula=E7=F5es fe=
itas pelos peritos no apartamento onde se dera a precipita=E7=E3o e morte d=
a crian=E7a.</p>
<p class=3D"sangria">Outro caso, ainda mais recente, tamb=E9m permanece no =
imagin=E1rio popular, uma vez que resultou na maior reprodu=E7=E3o simulada=
 da hist=F3ria da criminal=EDstica brasileira: trata-se do caso do =93Massa=
cre de Pau D=92Arco=94, no qual 10 trabalhadores rurais foram mortos durant=
e a=E7=E3o policial, em fazenda no Sudeste do Par=E1 no ano de 2017. =C0que=
la =E9poca, sete peritos criminais federais e tr=EAs estaduais atuaram em c=
ampo por 6 dias, reproduzindo e analisando 29 vers=F5es da hist=F3ria, em a=
=E7=E3o que mobilizou cerca de 100 pessoas <span class=3D"italica">in loco<=
/span> e resultou em um laudo de 122 p=E1ginas, elaborado ao longo de 40 di=
as, conforme mat=E9ria publicada na revista =93Per=EDcia Federal=94 de deze=
mbro de 2017. A investiga=E7=E3o levou ao indiciamento de 16 policiais, os =
quais ainda n=E3o foram a julgamento.</p>
<p class=3D"sangria">Trata-se, portanto, de relevante =E1rea do trabalho po=
licial e pericial, que atrai naturalmente os holofotes e interesse p=FAblic=
o e, mais do que isso, que pode auxiliar sobejamente no deslinde de intrinc=
adas investiga=E7=F5es criminais.</p>
<p class=3D"sangria">Apesar disso, percebe-se um problema, por vezes invis=
=EDvel aos olhos do grande p=FAblico e, talvez, at=E9 mesmo dos destinat=E1=
rios de um laudo pericial criminal, que =E9 a falta de sistematiza=E7=E3o m=
etodol=F3gica na execu=E7=E3o desse recurso, com casos semelhantes sendo tr=
atados de formas muito distintas, at=E9 dentro de um mesmo =F3rg=E3o perici=
al. Ademais, por vezes o exame =E9 realizado, mas n=E3o oferece as resposta=
s esperadas pela autoridade requisitante.</p>
<p class=3D"sangria">Nesse contexto, surge a problem=E1tica discutida no pr=
esente artigo: existe, de fato, uma sistematiza=E7=E3o metodol=F3gica nos e=
xames de Reprodu=E7=E3o Simulada de Crimes Contra a Vida (RSCCV) realizados=
 por diferentes centros de per=EDcia criminal pelo Brasil?</p>
<p class=3D"sangria">A <span class=3D"italica">priori</span>, considerando-=
se ser um tema pouco explorado na criminal=EDstica moderna, partiu-se da hi=
p=F3tese de que n=E3o haja a devida padroniza=E7=E3o metodol=F3gica no exam=
e de RSCCV, diferentemente do que se observa em outras =E1reas sobejamente =
estudadas, como DNA e bal=EDstica forense, por exemplo, o que pode contribu=
ir para que, por vezes, o exame n=E3o atinja seus objetivos prec=EDpuos.</p=
>
<p class=3D"sangria">Nesse sentido, Reis (2016) assevera que tanto em um tr=
abalho cient=EDfico quanto em um levantamento pericial =E9 necess=E1rio pla=
nejamento, com etapas definidas e sistematizadas, de tal forma que uma dese=
ncadeie a outra. Logo, um exame pericial de Reprodu=E7=E3o Simulada de Fato=
s n=E3o deve fugir a essa regra.</p>
<p class=3D"sangria">Destarte, teve-se como objetivo apresentar uma propost=
a estruturada de execu=E7=E3o do exame de RSCCV, bem como do produto desse =
trabalho, que =E9 o laudo pericial, documento que torna perene as constata=
=E7=F5es levadas a efeito pelos <span class=3D"italica">experts</span>.</p>
<p class=3D"sangria">Nesse contexto pretendeu-se definir e delimitar os pas=
sos a serem dados desde a requisi=E7=E3o do exame at=E9 a elabora=E7=E3o do=
 laudo, com =EAnfase na etapa de execu=E7=E3o e na forma de abordagem no la=
udo pericial, visando estudar a plausabilidade das vers=F5es apresentadas p=
elos atores do evento e testemunhas.</p>
<p class=3D"sangria">Igualmente importante, aspirou-se realizar estudo de c=
asos a partir de laudos de RSCCV, nos quais os par=E2metros discutidos prev=
iamente foram analisados, buscando-se apontar os pontos de maior contribui=
=E7=E3o metodol=F3gica em cada situa=E7=E3o, bem como, eventualmente, assin=
alar aspectos que poderiam ter sido mais bem explorados, tendo em vista as =
suas peculiaridades.</p>
<p class=3D"sangria">Finalmente, almejou-se propor um protocolo de trabalho=
 visando a melhor explora=E7=E3o poss=EDvel dos elementos dispon=EDveis par=
a an=E1lise numa RSCCV, otimizando os resultados pass=EDveis de alcance, in=
dependentemente do profissional que execute o exame.</p>
<p class=3D"sangria">Buscando desenvolver o assunto de forma did=E1tica, in=
icialmente foram abordados aspectos conceituais acerca do exame de RSCCV e =
das etapas a serem desenvolvidas quando da realiza=E7=E3o desse exame. Em s=
eguida, foram analisados laudos de RSCCV visando =E0 discuss=E3o dos elemen=
tos de destaque em cada caso e, se necess=E1rio, t=F3picos que poderiam ter=
 sido melhor explorados. Finalmente, foi apresentada uma proposta de padron=
iza=E7=E3o pertinente a esse tipo de exame, visando diminuir eventuais falh=
as e lacunas, em busca de melhores resultados.</p>
<p class=3D"sangria">Dito isso, espera-se que o presente artigo possa se so=
mar =E0 literatura j=E1 existente na tem=E1tica em quest=E3o, contribuindo =
com a forma=E7=E3o profissional dos peritos criminais nessa importante e co=
mplexa =E1rea da per=EDcia criminal, tanto daqueles em in=EDcio de carreira=
 que nunca tenham realizado tal tipo de exame, como daqueles que j=E1 o rea=
lizaram mas que poder=E3o ter mais uma relevante fonte de aprimoramento.</p=
>
<p class=3D"negrita seccion">
<span class=3D"negrita">2. REVIS=C3O DE LITERATURA</span>
</p>
<p class=3D"sangria">A Reprodu=E7=E3o Simulada dos Fatos constitui-se em di=
spositivo previsto no Artigo 7=BA do C=F3digo de Processo Penal, o qual pre=
coniza que: =93Para verificar a possibilidade de haver a infra=E7=E3o sido =
praticada de determinado modo, a autoridade policial poder=E1 proceder =E0 =
reprodu=E7=E3o simulada dos fatos, desde que esta n=E3o contrarie a moralid=
ade ou a ordem p=FAblica=94 (BRASIL, 1941).</p>
<p class=3D"sangria">Ressalte-se que n=E3o se trata de exame obrigat=F3rio,=
 mas sim, facultativo, como se nota na express=E3o <span class=3D"italica">=
=93a autoridade policial poder=E1 proceder =E0 reprodu=E7=E3o simulada=94</=
span>. Destarte, cabe =E0 autoridade competente verificar a sua real necess=
idade e viabilidade no contexto da investiga=E7=E3o levada a efeito.</p>
<p class=3D"sangria">=C9 comum que tal exame seja tamb=E9m chamado de =93re=
constitui=E7=E3o de crime=94, o que pode ser considerado, tecnicamente, com=
o um grande equ=EDvoco, uma vez que o significado da palavra =93reconstitui=
r=94 =E9 recompor, reestabelecer, ou seja, fazer novamente, o que, em se tr=
atando de um crime, =E9 absolutamente impens=E1vel.</p>
<p class=3D"sangria">Num conceito mais abrangente, o doutrinador Alberi Esp=
indula define reprodu=E7=E3o simulada como sendo:</p>
<p class=3D"sangria">Os procedimentos adotados para esclarecer se a infra=
=E7=E3o ocorrera de determinado modo, utilizando-se das descri=E7=F5es in l=
oco dos atores da citada infra=E7=E3o, analisando-as e comparando-as entre =
si e com os vest=EDgios materiais deixados por ocasi=E3o da sua ocorr=EAnci=
a, objetivando unicamente saber-se da coer=EAncia, ou n=E3o, das vers=F5es.=
 (<a href=3D"http://marcalyc.redalyc.org/journal/6734/673472350001/html/ind=
ex.html#redalyc_673472350001_ref4">ESPINDULA, 2014</a>)</p>
<p class=3D"sangria">Nota-se que n=E3o se est=E1 falando em, de uma forma s=
implista, aferir quem, em alguma demanda, =E9 o detentor da verdade, mas em=
 se determinar, a partir de depoimentos distintos, sopesados em conjunto co=
m provas materiais produzidas ao longo do inqu=E9rito policial ou processo =
judicial, apresenta uma vers=E3o mais veross=EDmil, a qual n=E3o contrarie =
os princ=EDpios da l=F3gica, da f=EDsica e os pr=F3prios princ=EDpios da cr=
iminal=EDstica e medicina legal. Em sendo assim, a vers=E3o mais plaus=EDve=
l, naturalmente, levar=E1 a conclus=F5es mais precisas e fact=EDveis.</p>
<p class=3D"sangria">Na mesma seara, <a href=3D"http://marcalyc.redalyc.org=
/journal/6734/673472350001/html/index.html#redalyc_673472350001_ref24">Reis=
 (2016)</a> leciona que esse exame tem precipuamente dois intentos: (1) a v=
erifica=E7=E3o de possibilidades, isto =E9, se um fen=F4meno aconteceu ou t=
em possibilidade de ter acontecido da forma como foi narrado pelos envolvid=
os (suspeitos, v=EDtimas e testemunhas), al=E9m disso; (2) constituir meio =
de prova e estabelecer um elo entre o fen=F4meno, o objeto causador e o age=
nte.</p>
<p class=3D"sangria">Portanto, considerando-se a tr=EDade materialidade, au=
toria e din=E2mica, objetivos normalmente perseguidos num exame pericial em=
 local de crime, tem-se que a RSF, sempre realizada com certo lapso tempora=
l em rela=E7=E3o ao fato, est=E1 mais relacionada =E0 determina=E7=E3o da d=
in=E2mica do evento, ou seja, =E0 forma como ele deve ter ocorrido, a parti=
r do estudo das vers=F5es apresentadas para o caso concreto.</p>
<p class=3D"sangria">Ainda sobre o mandamento legal, percebe-se que o legis=
lador colocou dois limites =E0 execu=E7=E3o do exame de Reprodu=E7=E3o Simu=
lada. Nesse t=F3pico, conforme <a href=3D"http://marcalyc.redalyc.org/journ=
al/6734/673472350001/html/index.html#redalyc_673472350001_ref21">Portinho (=
2013)</a>, os conceitos de "ordem p=FAblica" e de "moralidade" est=E3o rela=
cionados =E0 como=E7=E3o e ao clamor p=FAblico decorrentes do cometimento d=
o delito, bem como de sua natureza jur=EDdica.</p>
<p class=3D"sangria">Assim, levar o criminoso ao local onde cometeu o delit=
o, com a popula=E7=E3o local deveras revoltada e comovida, certamente deve =
ser evitado. Do mesmo modo, um crime sexual de estupro, por exemplo, torna-=
se naturalmente irreproduz=EDvel, haja vista a pr=F3pria natureza do delito=
 e pudor social gravemente violado.</p>
<p class=3D"sangria">Ressalte-se que a necessidade de reprodu=E7=E3o simula=
da da pr=E1tica delituosa somente exsurge em casos de infra=E7=E3o, os quai=
s s=E3o dotados de<span class=3D"italica"> iter criminis</span> complexo, h=
aja vista a imposi=E7=E3o processual de se reproduzir a sequ=EAncia de atos=
 e fatos que fizeram parte da pr=E1tica delituosa <a href=3D"http://marcaly=
c.redalyc.org/journal/6734/673472350001/html/index.html#redalyc_67347235000=
1_ref10">(FREIRE, 2020).</a>
</p>
<p class=3D"sangria">Tem-se por =F3bvio, portanto, que deve haver rigoroso =
crit=E9rio na requisi=E7=E3o de tal exame, uma vez que dispende recursos hu=
manos e materiais por vezes dif=EDceis de serem obtidos, como inova=E7=F5es=
 e tecnologias avan=E7adas (<span class=3D"italica">drones, scanner</span> =
3D, computa=E7=E3o gr=E1fica, m=E1quinas fotogr=E1ficas, filmadoras e grava=
dores de =E1udio de alta resolu=E7=E3o) e, ainda, de todo um aparato que in=
clui interdi=E7=E3o de vias, fechamento de com=E9rcios, bem como o apoio de=
 for=E7as policiais civis e militares, =E0s vezes afastados de suas ativida=
des-fim por longo per=EDodo. Por conseguinte, deve ser aplicado apenas em c=
asos de maior complexidade e nos quais tal exame possa efetivamente fornece=
r respostas.</p>
<p class=3D"sangria">Nessa esteira, <a href=3D"http://marcalyc.redalyc.org/=
journal/6734/673472350001/html/index.html#redalyc_673472350001_ref6">Espind=
ula (2013)</a> adverte com bastante veem=EAncia sobre reprodu=E7=F5es solic=
itadas pelas autoridades para efeito puramente de justifica=E7=E3o de seus =
atos junto =E0 sociedade, sendo que em muitas dessas, a imprensa pode funci=
onar como fator de publicidade para uma profiss=E3o s=F3 lembrada quando de=
la necessitam.</p>
<p class=3D"sangria">N=E3o h=E1 d=FAvidas do forte efeito midi=E1tico despe=
rtado por tal exame, especialmente em crimes de repercuss=E3o, todavia, sua=
 requisi=E7=E3o deve ser reservada para aqueles casos em que seguramente re=
stam lacunas nos depoimentos de envolvidos e/ou testemunhas, ou evidentes c=
ontradi=E7=F5es, o que enseja ent=E3o o confronto dessas vers=F5es entre si=
, e entre elas e os elementos materiais coligidos no curso da investiga=E7=
=E3o, sobretudo os decorrentes de outros exames periciais realizados.</p>
<p class=3D"sangria">O exame de RSF pode, tanto chegar a uma conclus=E3o po=
sitiva sobre a possibilidade de o crime ter ocorrido tal qual relatado, qua=
nto negativa, demostrando ser imposs=EDvel que tenha sido cometido de tal m=
aneira ou nas circunst=E2ncias reproduzidas. Da=ED porque a reconstru=E7=E3=
o negativa ser at=E9 mais =FAtil, pois, se bem executada, derruba hip=F3tes=
es insustent=E1veis <a href=3D"http://marcalyc.redalyc.org/journal/6734/673=
472350001/html/index.html#redalyc_673472350001_ref16">(LOPES J=DANIOR, 2020=
)</a>.</p>
<p class=3D"sangria">Em contrapartida, um resultado positivo n=E3o signific=
a que o crime ocorreu de fato daquela forma, mas, t=E3o somente, que poderi=
a ter ocorrido assim, havendo ainda a necessidade de outros meios de prova =
para fundamentar uma decis=E3o condenat=F3ria.</p>
<p class=3D"sangria">
<a href=3D"http://marcalyc.redalyc.org/journal/6734/673472350001/html/index=
.html#redalyc_673472350001_ref19">Pereira (2017)</a> ressalta que o exame p=
ericial em local de morte possui rela=E7=E3o direta com a RSF, uma vez que =
aponta elementos vitais =E0 compreens=E3o da din=E2mica do evento, como: po=
sicionamento da(s) v=EDtima(s), exist=EAncia de material biol=F3gico (manch=
as de sangue, cabelos, etc.), disposi=E7=E3o de armas e elementos de muni=
=E7=E3o na cena ou outro instrumento usado na agress=E3o, entre outros tipo=
s de vest=EDgios.</p>
<p class=3D"sangria">Refor=E7a-se a=ED a indispensabilidade de exame perici=
al nos locais de crimes contra vida t=E3o logo do ocorrido, seja ele consum=
ado ou tentado e mesmo nos casos em que a v=EDtima =E9 socorrida, ocasi=E3o=
 em que, n=E3o raro, o exame pericial deixa de ser solicitado. Ao proceder =
dessa maneira, a autoridade policial acaba permitindo que importantes eleme=
ntos daquela cena de crime sejam perdidos, os quais certamente seriam de gr=
ande valia quando da Reprodu=E7=E3o Simulada de Fatos porventura requisitad=
a.</p>
<p class=3D"sangria">Igualmente imprescind=EDveis s=E3o os laudos referente=
s a outros exames afins, como o cadav=E9rico (necrosc=F3pico), que traz inf=
orma=E7=F5es relevantes sobre trajetos de proj=E9teis, presen=E7a de efeito=
s secund=E1rios de tiro, presen=E7a de les=F5es de defesa e outras que perm=
itam infer=EAncias sobre a din=E2mica do ocorrido, assim como laudos bal=ED=
sticos, que versam sobre o funcionamento de uma arma de fogo e podem ainda =
trazer, a partir do exame de confronto microbal=EDstico, importantes consid=
era=E7=F5es sobre a din=E2mica do evento e individualiza=E7=E3o de condutas=
, ao dizer que o proj=E9til incriminado foi expelido por determinada arma q=
uestionada.</p>
<p class=3D"sangria">H=E1 que se destacar ainda a possibilidade de requisi=
=E7=E3o do exame de RSF para casos em que n=E3o foi realizado exame de loca=
l quando do evento, bem como qualquer exame pericial complementar, o que ce=
rtamente enseja um trabalho ainda mais cuidadoso do perito, uma vez que ele=
 basear=E1 sua an=E1lise apenas em elementos subjetivos. Todavia, nessa sit=
ua=E7=E3o, tem-se reduzido o pr=F3prio escopo do exame, que passa a ser um =
mero confronto de vers=F5es.</p>
<p class=3D"sangria">Ao se estudar acerca da sistematiza=E7=E3o do exame de=
 RSCCV, deve-se considerar as tr=EAs etapas b=E1sicas que o comp=F5e, quais=
 sejam: o planejamento do exame; a execu=E7=E3o do exame e a confec=E7=E3o =
do laudo pericial.</p>
<p class=3D"sangria">Sintetizando o conte=FAdo lecionado por <a href=3D"htt=
p://marcalyc.redalyc.org/journal/6734/673472350001/html/index.html#redalyc_=
673472350001_ref5">Espindula, Bruni e Velho (2013)</a>, a fase de planejame=
nto tem in=EDcio com a leitura integral dos autos encaminhados previamente =
pela autoridade requisitante e compreende ainda a delimita=E7=E3o dos recur=
sos materiais e humanos imprescind=EDveis para a sua realiza=E7=E3o.</p>
<p class=3D"sangria">A fase de execu=E7=E3o se inicia com a verifica=E7=E3o=
 das medidas de isolamento no local do evento, passa pela apresenta=E7=E3o =
da equipe pericial ao envolvidos e autoridades presentes e tem seu cl=EDmax=
 com a entrevista individualizada de testemunhas, v=EDtimas e acusados, ao =
que se segue a simula=E7=E3o propriamente dita, devidamente registrada por =
meio de fotografias e filmagens (quando poss=EDvel).</p>
<p class=3D"sangria">Em momento posterior, ensinam os doutrinadores mencion=
ados, =E9 produzido ent=E3o o laudo pericial, documento t=E9cnico que consu=
bstancia todas as an=E1lises levadas a efeito, correlacionando as vers=F5es=
 apresentadas entre si, bem como com os elementos materiais relacionados ao=
 caso.</p>
<p class=3D"sangria">=C9 poss=EDvel ainda que tanto durante a execu=E7=E3o =
do exame, quanto em momento posterior, sejam realizadas an=E1lises compleme=
ntares, visando trazer respostas mais objetivas, como testes de visibilidad=
e, testes de audibilidade, exames bal=EDsticos para determina=E7=E3o de dis=
t=E2ncia de tiro, an=E1lise temporal dos fatos, entre outros que sejam pert=
inentes ao caso em estudo.</p>
<p class=3D"sangria">Com isso, espera-se que o exame pericial possa sanar a=
s contradi=E7=F5es e/ou lacunas que levaram =E0 sua realiza=E7=E3o, se for =
o caso, trazendo suas conclus=F5es na forma de repostas a quesitos formulad=
os previamente pelo requisitante, numa linguagem t=E9cnica compreens=EDvel =
e objetiva, acerca da coer=EAncia ou n=E3o das vers=F5es analisadas.</p>
<p class=3D"negrita seccion">
<span class=3D"negrita">3.</span><span class=3D"negrita">MATERIAIS E M=C9TO=
DOS</span>
</p>
<p class=3D"sangria">Buscando apresentar o assunto de forma did=E1tica, div=
idiu-se a metodologia empregada para o desenvolvimento deste trabalho em et=
apas, conforme se mostra adiante.</p>
<p class=3D"sangria">Durante a <span class=3D"negrita">primeira etapa</span=
>, foi realizada uma revis=E3o bibliogr=E1fica sobre o tema Reprodu=E7=E3o =
Simulada de Crimes, com =EAnfase nos conceitos pertinentes da doutrina crim=
inal=EDstica e aspectos da legisla=E7=E3o aplicada a esse exame, fornecendo=
 o indispens=E1vel suporte te=F3rico que direciona qualquer pesquisa.</p>
<p class=3D"sangria">A<span class=3D"negrita"> segunda etapa</span> consist=
iu em se obter uma base de laudos periciais de Reprodu=E7=E3o Simulada de C=
rimes Contra a Vida, que seriam posteriormente avaliados. Para isso foi fei=
to contato direto com grupos de peritos criminais, solicitando o envio dess=
e tipo de documento. Nessa etapa reuniu-se 12 laudos periciais de diferente=
s estados da federa=E7=E3o, com predom=EDnio de casos de morte violenta por=
 a=E7=E3o de arma de fogo.</p>
<p class=3D"sangria">A <span class=3D"negrita">terceira etapa</span> evolui=
u para a leitura cr=EDtica de cada um desses laudos, quando se buscou compr=
eender o contexto e particularidades de cada caso. Com base nessa an=E1lise=
 aprofundada, foram selecionados cinco laudos periciais, considerados mais =
adequados para o prop=F3sito da pesquisa, procurando-se evitar casos/laudos=
 com caracter=EDsticas muito semelhantes, o que permitiu a abordagem de uma=
 maior gama de aspectos, tornando a pesquisa mais abrangente.</p>
<p class=3D"sangria">Na <span class=3D"negrita">quarta etapa</span> foi fei=
ta nova leitura dos laudos selecionados, os quais foram avaliados criterios=
amente e resumidos, com =EAnfase nos recursos humanos, recursos materiais e=
 aspectos metodol=F3gicos aplicados ao caso. Cabe ressaltar que em nenhum m=
omento da pesquisa foram questionados aspectos t=E9cnicos de cada caso, com=
 foco voltado apenas para sistematiza=E7=E3o metodol=F3gica que foi utiliza=
da pelos profissionais respons=E1veis.</p>
<p class=3D"sangria">A partir do estudo dos casos feito com base nos laudos=
 compilados, teve seguimento a <span class=3D"negrita">quinta etapa</span>,=
 com a proposi=E7=E3o de uma metodologia de trabalho sistematizada aplic=E1=
vel a essa modalidade de exame pericial e ao laudo correspondente.</p>
<p class=3D"sangria">Sobre a pesquisa baseada em estudo de casos, <a href=
=3D"http://marcalyc.redalyc.org/journal/6734/673472350001/html/index.html#r=
edalyc_673472350001_ref2">Chizzotti (2018)</a> destaca que se trata de uma =
caracteriza=E7=E3o abrangente para designar diferentes pesquisas que coleta=
m e registram dados de um caso particular ou de v=E1rios casos, visando org=
anizar um relat=F3rio ordenado e cr=EDtico de uma experi=EAncia ou avali=E1=
-la analiticamente, objetivando tomar decis=F5es a seu respeito ou propor u=
ma a=E7=E3o transformadora.</p>
<p class=3D"sangria">Consoante a proposta de estudo de casos, elegeu-se com=
o materiais de trabalho cinco laudos referentes a per=EDcias de Reprodu=E7=
=E3o Simulada de Crimes Contra a Vida, realizados por diferentes centros de=
 per=EDcia[2]: um caso da Pol=EDcia Cient=EDfica do Paran=E1, de morte por =
precipita=E7=E3o; um caso da Coordenadoria Geral de Per=EDcias do Mato Gros=
so do Sul, de morte por arma de fogo no contexto de um entrevero de tr=E2ns=
ito; um caso de duplo homic=EDdio por armas de fogo realizado pelo Institut=
o Geral de Per=EDcias de Santa Catarina; um caso da Pol=EDcia T=E9cnica de =
Salvador, de a=E7=E3o policial na capital baiana, que resultou em 12 =F3bit=
os; e um caso da Pol=EDcia Federal, de a=E7=E3o policial em propriedade rur=
al com um indiv=EDduo morto a tiros, no interior de S=E3o Paulo.</p>
<p class=3D"sangria">Em s=EDntese, este artigo traduz-se em uma pesquisa qu=
e se utilizou de procedimentos de revis=E3o bibliogr=E1fica e de estudos de=
 caso, com abordagem qualitativa destinada =E0 an=E1lise descritiva dos dad=
os obtidos, os quais foram organizados e apresentados no presente texto.</p=
>
<p class=3D"negrita seccion">
<span class=3D"negrita">4. RESULTADOS E DISCUSS=C3O</span>
</p>
<p class=3D"subtitulo italica">
<span class=3D"negrita">4.1 Estudo de casos</span>
</p>
<p class=3D"sangria">O <span class=3D"negrita">Primeiro Caso</span>[3] aqui=
 apresentado se trata de Reprodu=E7=E3o Simulada realizada pela Pol=EDcia C=
ient=EDfica da Paran=E1, em 16/10/15, relacionado a evento ocorrido em 12/0=
9/2015 na capital do estado, no qual pessoa do sexo feminino morreu em virt=
ude de precipita=E7=E3o a partir da janela de apartamento residencial, have=
ndo d=FAvida se se tratara de uma a=E7=E3o suicida, acidental ou decorrente=
 de homic=EDdio perpetrado por seu namorado, presente no apartamento quando=
 do ocorrido.</p>
<p class=3D"sangria">Conforme se l=EA no laudo pericial, dois peritos crimi=
nais assinam o documento, embora n=E3o fique claro se os dois atuaram <span=
 class=3D"italica">in loco</span>. J=E1 em rela=E7=E3o aos recursos materia=
is usados, embora n=E3o conste de forma espec=EDfica no laudo, nota-se que,=
 al=E9m de equipamento fotogr=E1fico, foi utilizado um boneco tipo manequim=
 articulado e equipamentos de descida vertical (rapel).</p>
<p class=3D"sangria">Esses dois =FAltimos recursos foram fundamentais para =
as an=E1lises pretendidas, o boneco sendo usado para simular a v=EDtima, qu=
ando de sua passagem pelo v=E3o da janela, ocasi=E3o em que teria sido resg=
atada a tempo pelo namorado; e os equipamentos de rapel servindo como item =
de seguran=E7a para que uma pessoa simulasse os momentos anteriores =E0 seg=
unda tentativa de precipita=E7=E3o, com movimentos da v=EDtima sentada sobr=
e o parapeito da janela, o que dispensou o uso do boneco e trouxe grande re=
alismo =E0 encena=E7=E3o, com a devida seguran=E7a para que o trabalho foss=
e executado.</p>
<p class=3D"sangria">Notou-se, portanto, um planejamento pr=E9vio, bem como=
 a a=E7=E3o integrada com o Corpo de Bombeiros local, preparando e operando=
 o equipamento de rapel, o que deixou a reprodu=E7=E3o bastante fidedigna a=
o que era relatado pelo investigado durante o trabalho pericial.</p>
<p class=3D"sangria">Destaca-se positivamente ainda a an=E1lise temporal le=
vada a efeito, aferindo o tempo gasto pela v=EDtima quando das =FAltimas a=
=E7=F5es antes de supostamente se jogar pela janela e o tempo que o investi=
gado teria para tentar evitar esse desfecho, de acordo com a posi=E7=E3o em=
 que estava e com as a=E7=F5es de ambos na ocasi=E3o, que foram por ele des=
critas durante a reprodu=E7=E3o simulada.</p>
<p class=3D"sangria">A leitura do laudo revelou que a discuss=E3o dos <span=
 class=3D"italica">experts</span> se concentrou apenas na viabilidade da ve=
rs=E3o do acusado mediante dois t=F3picos: se ele teria de fato conseguido =
segurar a v=EDtima quando de sua primeira tentativa de precipita=E7=E3o e s=
e teria tempo h=E1bil para tentar evitar a segunda tentativa, na qual a v=
=EDtima acabou indo a =F3bito ao, em tese, se jogar pela janela.</p>
<p class=3D"sangria">Destarte, foram usadas apenas informa=E7=F5es advindas=
 da pr=F3pria Reprodu=E7=E3o Simulada, sem se estabelecer correla=E7=F5es c=
om elementos materiais coligidos a partir de exame de local porventura feit=
o =E0 =E9poca do ocorrido (isso n=E3o =E9 mencionado), bem como do exame ne=
crosc=F3pico certamente realizado. Ademais, ausentes an=E1lises quanto ao d=
iagn=F3stico diferencial entre queda acidental, suicida ou homicida.</p>
<p class=3D"sangria">O <span class=3D"negrita">Segundo Caso</span>[4] trazi=
do =E9 de uma Reprodu=E7=E3o Simulada realizada pela Coordenadoria Geral de=
 Per=EDcias do Mato Grosso do Sul, em 11/01/17, referente a fato ocorrido e=
m 31/12/16, na capital do estado, no qual um indiv=EDduo foi morto ao ser a=
tingido por tiros efetuados por um Policial Rodovi=E1rio Federal =E0 paisan=
a, ap=F3s entrevero de tr=E2nsito e tentativa de abordagem policial.</p>
<p class=3D"sangria">Conforme o laudo, equipe com seis peritos atuou no cas=
o, constando tamb=E9m uma lista com recursos materiais, incluindo equipamen=
tos de fotografia e filmagem, dois ve=EDculos semelhantes aos originais e u=
ma arma de fogo tipo pistola.</p>
<p class=3D"sangria">Destaca-se a contextualiza=E7=E3o pr=E9via do caso, n=
=E3o s=F3 com informa=E7=F5es, mas tamb=E9m com fotografias panor=E2micas d=
o cen=E1rio do evento, tomadas sob =E2ngulos de vis=F5es distintos. Al=E9m =
disso, as simula=E7=F5es foram descritas detalhadamente e ilustradas com fo=
tografias acompanhadas de legendas explicativas, abarcando desde o in=EDcio=
 do entrevero de tr=E2nsito envolvendo os dois ve=EDculos e seus ocupantes,=
 at=E9 o momento final, de execu=E7=E3o dos tiros e atos imediatamente post=
eriores.</p>
<p class=3D"sangria">Uma das testemunhas n=E3o estava envolvida no aconteci=
do (morava nas proximidades) e teve suas condi=E7=F5es de visibilidade devi=
damente analisadas, o que permitiu validar seu depoimento, bem como correla=
cionar com as demais vers=F5es, daqueles diretamente envolvidos.</p>
<p class=3D"sangria">A ressalva a ser feita =E9 que a discuss=E3o se restri=
ngiu ao confronto entre as vers=F5es apresentadas pelo acusado e as testemu=
nhas que acompanhavam a v=EDtima em um dos ve=EDculos, apontando converg=EA=
ncias e diverg=EAncias, por=E9m, sem conex=F5es com elementos materiais, me=
smo tendo sido realizado exame de local quando do fato e necropsia no corpo=
 da v=EDtima.</p>
<p class=3D"sangria">No <span class=3D"negrita">Terceiro Caso</span>[5], a =
Reprodu=E7=E3o Simulada analisada foi realizada no dia 06/06/17 pelo Instit=
uto Geral de Per=EDcias de Santa Catarina, na cidade de Florian=F3polis, re=
ferente a fato ocorrido em 31/05/17, em que uma troca de tiros em casa notu=
rna levou dois indiv=EDduos a =F3bito e feriu um terceiro, que foi ent=E3o =
acusado pela morte dos envolvidos, dois delegados da Pol=EDcia Federal.</p>
<p class=3D"sangria">Segundo o laudo, o exame foi conduzido por um perito c=
riminal acompanhado de cinco auxiliares criminal=EDsticos. Como recurso mat=
erial, depreendeu-se apenas o uso de m=E1quina(s) fotogr=E1fica(s).</p>
<p class=3D"sangria">Esse ponto chamou a aten=E7=E3o, pois, apesar de repro=
duzir evento em que tr=EAs indiv=EDduos estavam armados e efetivamente efet=
uaram tiros, na simula=E7=E3o executada, n=E3o foram usadas armas reais (de=
smuniciadas) ou mesmo simulacros, o que pode ser considerado prejudicial ao=
 resultado obtido.</p>
<p class=3D"sangria">Outro ponto controvertido que merece destaque nessa si=
mula=E7=E3o =E9 o uso de duas pessoas do sexo feminino representando atos q=
ue, na ocasi=E3o real, foram efetivados por indiv=EDduos do sexo masculino,=
 aspecto que contraria as recomenda=E7=F5es da doutrina de RSF, que recomen=
da o uso de atores do mesmo sexo e complei=E7=E3o f=EDsica semelhante =E0 d=
os envolvidos. Vale observar que esse fato, al=E9m de confundir quem tem ac=
esso =E0s fotografias do laudo, pode, em determinados casos, ser causa de c=
onstrangimento =E0 pessoa que atua nas simula=E7=F5es, ao exigir posi=E7=F5=
es at=EDpicas e contato f=EDsico intenso com indiv=EDduos do sexo masculino=
.</p>
<p class=3D"sangria">Por outro lado, como destaque positivo, vale ressaltar=
 a forma bastante did=E1tica usada para comparar os relatos apresentados po=
r cinco pessoas (envolvidos e testemunhas), com uso de tabelas nas quais er=
am apontadas as converg=EAncias e diverg=EAncias, o que deixou a argumenta=
=E7=E3o bastante clara.</p>
<p class=3D"sangria">Al=E9m disso, foi feita a devida vincula=E7=E3o entre =
o conte=FAdo das vers=F5es reproduzidas e os elementos materiais coligidos =
por meio do exame de local e dos exames de necropsia. Ao final, foram apres=
entadas respostas aos quesitos elaborados pela autoridade requisitante e qu=
e nortearam o trabalho pericial.</p>
<p class=3D"sangria">O <span class=3D"negrita">Quarto Caso</span>[6] =E9 de=
 Reprodu=E7=E3o Simulada realizada pelo Departamento de Pol=EDcia T=E9cnica=
 da Bahia na data de 27/05/15, referente a fato ocorrido em 06/02/15. Na oc=
asi=E3o, houve um intenso confronto entre policiais e alegados meliantes em=
 regi=E3o de favela em Salvador, o qual levou a =F3bito doze desses indiv=
=EDduos e causou ferimentos em um policial. Envolveram-se na ocorr=EAncia t=
r=EAs guarni=E7=F5es da RONDESP (Rondas Especiais da Pol=EDcia Militar), ca=
da uma com tr=EAs integrantes =E0 =E9poca.</p>
<p class=3D"sangria">Conforme o laudo pericial, dois peritos criminais cond=
uziram o trabalho de RSF, por sua vez, os mesmos que atenderam a ocorr=EAnc=
ia prim=E1ria. Os recursos materiais usados foram elencados, incluindo arma=
s de fogo (onze rev=F3lveres, duas pistolas e uma espingarda), ve=EDculos (=
viaturas, motocicleta e carro) e dois micro-=F4nibus usados como unidades m=
=F3veis de apoio para a equipe de trabalho, algo essencial para um trabalho=
 daquela magnitude. O laudo ainda cita 25 pessoas usadas na simula=E7=E3o.<=
/p>
<p class=3D"sangria">Apesar de se tratar de caso bastante complexo, notou-s=
e um laudo extremamente did=E1tico, que tinha em seu in=EDcio os quesitos f=
ormulados tanto pela delegacia respons=E1vel quanto pela Corregedoria da Po=
l=EDcia Militar do Estado da Bahia. Em seguida foram elencados todos os lau=
dos periciais que serviram ao caso, bem como as etapas que compreenderam o =
exame de RSF.</p>
<p class=3D"sangria">Interessante pontuar que os peritos realizaram uma oit=
iva preliminar das testemunhas e dos policiais envolvidos, em momento anter=
ior ao exame de RSF propriamente dito, nas depend=EAncias da delegacia (tes=
temunhas na parte da manh=E3 e policiais =E0 tarde), o que permitiu n=E3o s=
=F3 que fossem ouvidos com riqueza de detalhes e em condi=E7=F5es mais conf=
ort=E1veis, mas, sobretudo, forneceu as informa=E7=F5es necess=E1rias para =
que a etapa seguinte e mais complicada, da simula=E7=E3o<span class=3D"ital=
ica"> in loco</span>, fosse devidamente planejada, o que  se considera bast=
ante positivo.</p>
<p class=3D"sangria">Durante a reprodu=E7=E3o, foram refeitos os deslocamen=
tos de cada guarni=E7=E3o separadamente, partindo de diferentes pontos rumo=
 ao local imediato, com tomadas de tempo e dist=E2ncia. Em seguida, ao se r=
eunir numa s=F3 vers=E3o a cronologia de a=E7=F5es das tr=EAs guarni=E7=F5e=
s, somada aos relatos das testemunhas, foi poss=EDvel aferir que as a=E7=F5=
es se encaixavam quase perfeitamente, concatenando os elementos subjetivos =
e objetivos, com diferen=E7as de poucos segundos, o que permitiu aos <span =
class=3D"italica">experts</span> concluir que as vers=F5es dos policiais er=
am plaus=EDveis e, a princ=EDpio, ver=EDdicas.</p>
<p class=3D"sangria">Al=E9m de determinar a prov=E1vel din=E2mica do evento=
, com base na mencionada an=E1lise das vers=F5es de policiais e testemunhas=
, foi feito minucioso estudo dos elementos materiais avaliados em diferente=
s laudos periciais relacionados ao evento, como laudos de engenharia forens=
e, bal=EDstica, toxicologia, res=EDduos de disparo de arma de fogo por micr=
oscopia eletr=F4nica de varredura (MEV) na m=E3o das v=EDtimas, al=E9m das =
informa=E7=F5es dos 12 laudos necrosc=F3picos. Destaque-se, ainda, as consi=
dera=E7=F5es feitas sobre as condi=E7=F5es de luminosidade/visibilidade lev=
ando em conta a fase lunar no dia do fato e no dia da RSF, o que se mostrou=
 bastante v=E1lido.</p>
<p class=3D"sangria">Por fim, foram respondidos os quesitos, fechando de fo=
rma clara e conclusiva o trabalho realizado em caso de complexidade inquest=
ion=E1vel.</p>
<p class=3D"sangria">O <span class=3D"negrita">Quinto e =FAltimo Caso</span=
>[7] trazido =E0 baila =E9 de trabalho realizado pela =C1rea de Per=EDcias =
Externas do Instituto Nacional de Criminal=EDstica da Diretoria T=E9cnico-C=
ient=EDfica da Pol=EDcia Federal entre os dias 13 e 15/10/14, na zona rural=
 de Boa Esperan=E7a do Sul/SP, referente a fato ocorrido em 19/01/2013. Na =
ocasi=E3o, havia sido preparada uma a=E7=E3o para desarticular quadrilha qu=
e realizava tr=E1fico de drogas por transporte a=E9reo, quando teria havido=
 troca de tiros em terra, entre um dos meliantes e um agente da pol=EDcia f=
ederal, aquele tendo ido a =F3bito no local.</p>
<p class=3D"sangria">Logo no pre=E2mbulo do laudo, foram trazidos os quesit=
os formulados pelo Minist=E9rio P=FAblico Federal, deixando claros os objet=
ivos a serem alcan=E7ados no trabalho pericial.</p>
<p class=3D"sangria">Em seguida, foi feita criteriosa descri=E7=E3o do loca=
l, ricamente ilustrada com imagens de sat=E9lite da regi=E3o e fotografias =
tiradas por ocasi=E3o do fato e ainda durante a reprodu=E7=E3o simulada. Ta=
l coloca=E7=E3o se mostrou extremamente relevante para o caso, dada a pecul=
iaridade de ter ocorrido em meio a um canavial adulto (plantas com cerca de=
 2m de altura), sendo que na data da RSF esse canavial estava em fase inici=
al de crescimento (plantas com cerca de 30cm de altura), o que alterava sig=
nificativamente o cen=E1rio e as condi=E7=F5es de visibilidade em rela=E7=
=E3o =E0 movimenta=E7=E3o de pessoas no momento do confronto.</p>
<p class=3D"sangria">Nesse contexto e buscando trazer respostas efetivas ao=
s questionamentos, os peritos realizaram a simula=E7=E3o em dois locais, ta=
nto naquele onde se dera o ocorrido, quanto em outro, que reproduzia as con=
di=E7=F5es reinantes no momento da ocorr=EAncia (canavial adulto), o que fo=
i fundamental para a conclus=E3o de que as condi=E7=F5es de visibilidade do=
 policial no momento do tiro eram extremamente prejudicadas, algo que, incl=
usive, fazia parte dos quesitos do Minist=E9rio P=FAblico Federal e ficava =
not=F3rio nas fotografias juntadas ao laudo.</p>
<p class=3D"sangria">Como nesse caso, havia apenas uma vers=E3o, contada de=
 forma semelhante pelo policial que atirou e por seu parceiro de trabalho =
=E0 =E9poca, al=E9m de analisar a viabilidade da din=E2mica apresentada, fo=
i feito minucioso trabalho de correla=E7=E3o com os elementos materiais con=
statados no exame de local e analisados por diferentes setores do Instituto=
 Nacional de Criminal=EDstica da Pol=EDcia Federal, al=E9m das informa=E7=
=F5es trazidas pelo exame necrosc=F3pico. Tal esmero resultou numa an=E1lis=
e bastante completa, cuja clareza ficava mais evidente =E0 medida que trech=
os dos laudos complementares eram transcritos no laudo de RSF e sopesados d=
entro do conjunto probat=F3rio produzido.</p>
<p class=3D"sangria">Consta que o trabalho foi realizado por tr=EAs Peritos=
 Criminais Federais que usaram como recursos materiais, equipamentos para o=
 registro dos fatos (m=E1quinas fotogr=E1ficas e filmadora digital), aparel=
ho GPS, trena m=E9trica, marcadores de vest=EDgios, al=E9m dos objetos dire=
tamente relacionados ao evento reproduzido e que estavam custodiados na Del=
egacia de Araraquara/SP) e uma viatura descaracterizada.</p>
<p class=3D"sangria">Por fim, destaca-se a forma did=E1tica e completa adot=
ada na an=E1lise do caso, explorando ao m=E1ximo poss=EDvel a din=E2mica es=
tabelecida e os vest=EDgios materiais produzidos no evento original, com fe=
chamento na forma de respostas objetivas e conclusivas aos quesitos formula=
dos previamente.</p>
<p class=3D"sangria">A seguir, =E9 feita uma an=E1lise integrada dos cinco =
casos apresentados, discutindo aspectos da sistematiza=E7=E3o do trabalho p=
ericial nos mencionados exames de Reprodu=E7=E3o Simulada de Fatos.</p>
<p class=3D"sangria">O primeiro ponto a ser abordado =E9 a quest=E3o do lap=
so temporal entre o fato criminoso em apura=E7=E3o e o exame de RSF. Apenas=
 no <span class=3D"negrita">Quinto Caso</span> analisado houve um intervalo=
 grande, de quase dois anos. No <span class=3D"negrita">Quarto Caso</span> =
o intervalo foi de cerca de quatro meses e nos demais, de menos de um m=EAs=
.</p>
<p class=3D"sangria">N=E3o h=E1 d=FAvidas de que o lapso maior de tempo =E9=
 prejudicial, especialmente pela possibilidade de altera=E7=F5es estruturai=
s no local do evento, capazes de prejudicar e, qui=E7=E1, inviabilizar o ex=
ame de RSF. Isso ficou demonstrado no =FAltimo caso analisado, no qual os p=
eritos federais tiveram que reproduzir o evento num segundo local, com cara=
cter=EDsticas que mais se aproximavam do original, uma vez que se tratava d=
e quest=E3o primordial no deslinde do ocorrido.</p>
<p class=3D"sangria">A temporalidade tamb=E9m se manifesta na sazonalidade =
de aspectos clim=E1ticos e hidrol=F3gicos que podem alterar significativame=
nte a cena do crime. O importante =E9 que os peritos estejam conscientes de=
ssas diferen=E7as e te=E7am considera=E7=F5es, fa=E7am ajustes e simula=E7=
=F5es para corrigir ou atenuar essas diferen=E7as, as quais podem afetar de=
 forma significativa as conclus=F5es dos trabalhos de RSF.</p>
<p class=3D"sangria">Al=E9m disso, o exame de RSF tem como um de seus pilar=
es a oitiva dos envolvidos, necessitando, nesse momento, que ativem element=
os de sua mem=F3ria, a qual, com o maior tempo decorrido, tende a se perder=
, o que enseja que o exame seja realizado no menor tempo poss=EDvel ap=F3s =
o evento.</p>
<p class=3D"sangria">Insta destacar a import=E2ncia dos quesitos encaminhad=
os junto =E0 requisi=E7=E3o do exame de RSF, algo que se considera que deve=
ria ser regra e que se fez presente somente em tr=EAs dos casos aqui analis=
ados.</p>
<p class=3D"sangria">A presen=E7a de quesitos permite ao perito estabelecer=
 de forma clara os limites de seu trabalho desde a fase de planejamento ini=
cial, bem como buscar respostas espec=EDficas, o que =E9 valioso, sobretudo=
, nos casos de <span class=3D"italica">iter criminis</span> complexos e com=
 a=E7=F5es que se prolongam no tempo e em locais distintos. Nesses casos, a=
usentes os quesitos, pode ocorrer de o perito empreender recursos humanos e=
 materiais desnecess=E1rios, reproduzindo partes que sequer s=E3o alvo de d=
=FAvidas.</p>
<p class=3D"sangria">Outro ponto a ser considerado =E9 que, ao se realizar =
o exame de RSF, ou no m=E1ximo, quando da elabora=E7=E3o do laudo pericial,=
 todos os laudos complementares relacionados ao fato devem estar dispon=EDv=
eis ao perito da reprodu=E7=E3o, uma vez serem indispens=E1veis para a an=
=E1lise de coer=EAncia e viabilidade das vers=F5es cotejadas.</p>
<p class=3D"sangria">Nesse diapas=E3o, chamou a aten=E7=E3o que, nos dois p=
rimeiros casos aqui estudados, n=E3o tenha sido realizada essa etapa de con=
fronto das vers=F5es com os elementos materiais produzidos no curso da inve=
stiga=E7=E3o e materializados na forma de laudos periciais, sendo talvez os=
 mais importantes, o laudo de local de crime (realizado quando do fato) e o=
 laudo necrosc=F3pico da v=EDtima.</p>
<p class=3D"sangria">Trata-se de etapa fundamental, que leva os elementos s=
ubjetivos a serem afrontados por elementos materiais, logo, de suma import=
=E2ncia e de dif=EDcil contesta=E7=E3o. Uma vers=E3o que contraria um eleme=
nto material devidamente constatado e avaliado numa cena de crime, por cert=
o, ter=E1 a sua coer=EAncia e viabilidade diminu=EDdas.</p>
<p class=3D"sangria">No caso aqui analisado da RSF realizada pelos experts =
do Mato Grosso do Sul, na conclus=E3o, =FAltimo t=F3pico do laudo, =E9 menc=
ionado que <span class=3D"italica">=93todas as vers=F5es, apresentadas sepa=
radamente, s=E3o compat=EDveis com os vest=EDgios encontrados no local no d=
ia dos fatos=94</span>. Todavia, ao longo do laudo, de inquestion=E1vel qua=
lidade, n=E3o s=E3o citados quais teriam sido aqueles vest=EDgios encontrad=
os, n=E3o tendo sido eles analisados no contexto dos depoimentos reproduzid=
os.</p>
<p class=3D"sangria">Tal lacuna, talvez, ocorra com mais preval=EAncia nos =
casos em que o mesmo perito realiza o exame no local de crime e, posteriorm=
ente, a Reprodu=E7=E3o Simulada, levando-o a fazer determinadas avalia=E7=
=F5es com base no que viu na per=EDcia original e que, n=E3o necessariament=
e, ficam claras no laudo da RSF.</p>
<p class=3D"sangria">Apesar de haver ligeira controv=E9rsia, parece n=E3o h=
aver =F3bice a que o mesmo perito realize o exame em local de crime e a res=
pectiva Reprodu=E7=E3o Simulada do mesmo fato, podendo at=E9 ser recomend=
=E1vel que assim seja feito.</p>
<p class=3D"sangria">Apenas deve-se observar duas quest=F5es nesse caso: pr=
imeiramente, que o perito atue com toda a imparcialidade j=E1 naturalmente =
intr=EDnseca ao seu trabalho, mas aqui, exercida ao extremo, de modo a perm=
itir-se at=E9 a realizar, na RSF, interpreta=E7=F5es distintas das feitas p=
or ele mesmo quando do primeiro exame, diante dos novos elementos trazidos =
=E0 tona na execu=E7=E3o da RSF.</p>
<p class=3D"sangria">Al=E9m disso, deve necessariamente esse perito levar p=
ara o laudo da reprodu=E7=E3o os principais elementos materiais constatados=
 por ele no exame prim=E1rio e suas interpreta=E7=F5es, relacionando-as =E0=
s vers=F5es sopesadas na RSF. Isso, porque, n=E3o =E9 exig=EDvel que o leit=
or tenha o primeiro laudo, do exame de local, quando da leitura do laudo da=
 Reprodu=E7=E3o Simulada e ele (leitor) fa=E7a ent=E3o o cotejo entre os do=
is laudos. Trata-se de tarefa cab=EDvel ao perito criminal e que deve ficar=
 clara no segundo laudo.</p>
<p class=3D"sangria">Entende-se que o laudo de RSF deva ser completo por si=
 s=F3, independentemente de que o leitor tenha informa=E7=F5es sobre o caso=
 advindas de outras dilig=EAncias policiais, dos meios de imprensa ou que t=
enha outros laudos e documentos relacionados em m=E3os.</p>
<p class=3D"sangria">Aqui destaca-se o laudo elaborado pela Pol=EDcia Feder=
al, no qual =E0 medida que a discuss=E3o se desenvolvia, pequenos trechos d=
os diversos laudos complementares eram transcritos para o laudo de RSF, tra=
zendo robustez e clareza inquestion=E1veis para a argumenta=E7=E3o.</p>
<p class=3D"sangria">
<a href=3D"http://marcalyc.redalyc.org/journal/6734/673472350001/html/index=
.html#redalyc_673472350001_ref5">Espindula, Bruni e Velho (2013)</a> ensina=
m ainda que ao analisar o conte=FAdo enviado pelo requisitante o perito res=
pons=E1vel pela RSF pode sugerir exames complementares especializados, como=
 por exemplo, an=E1lises laboratoriais qu=EDmicas ou bal=EDsticas, exames g=
rafosc=F3picos e at=E9 mesmo exuma=E7=E3o do cad=E1ver.</p>
<p class=3D"sangria">=C9 ineg=E1vel, portanto, a necessidade da maior gama =
poss=EDvel de exames complementares relacionados ao caso em investiga=E7=E3=
o para que sejam reavaliados no contexto probat=F3rio produzido por ocasi=
=E3o da RSF, que sempre ir=E1 somar ao caso elementos subjetivos trazidos p=
elos envolvidos na forma de depoimentos/vers=F5es.</p>
<p class=3D"sangria">Outro destaque percebido nos laudos avaliados =E9 o de=
 sempre ter atuado mais de um perito em cada caso. Exame dessa natureza, mu=
ltitarefa que =E9, ser=E1 sempre mais bem executado em equipe. Diante da re=
alidade imposta =E0 maioria das institui=E7=F5es estaduais, de car=EAncia d=
e pessoal, consideramos que, no m=EDnimo, o exame seja executado em dupla, =
devendo necessariamente ser realizado por equipe maior nos casos que exigir=
em conhecimentos espec=EDficos de =E1reas diversas.</p>
<p class=3D"sangria">Como recursos materiais, percebeu-se a aus=EAncia de t=
ecnologias modernas como <span class=3D"italica">drones e scanners </span>3=
D, que se tornaram mais dispon=EDveis nos =FAltimos anos.</p>
<p class=3D"sangria">
<a href=3D"http://marcalyc.redalyc.org/journal/6734/673472350001/html/index=
.html#redalyc_673472350001_ref3">Denardin (2013)</a> mostra as ineg=E1veis =
vantagens do que chama de <span class=3D"italica">Reprodu=E7=E3o Simulada</=
span> 3D, ao mesmo tempo em que faz a ressalva de que, al=E9m dos pr=F3prio=
s <span class=3D"italica">scanners</span>, =E9 necess=E1rio computadores av=
an=E7ados e <span class=3D"italica">softwares</span> espec=EDficos que poss=
ibilitem a pr=E1tica de modelagem 3D, anima=E7=F5es e apresenta=E7=F5es de =
imagens, o que somado ao treinamento dos profissionais envolvidos, torna a =
tecnologia cara e ainda pouco utilizada.</p>
<p class=3D"sangria">=C9 indubit=E1vel, portanto, a necessidade de incorpor=
a=E7=E3o cont=EDnua de inova=E7=F5es no =E2mbito da per=EDcia criminal, n=
=E3o s=F3 no que tange =E0 aquisi=E7=E3o de equipamentos e tecnologias, mas=
 tamb=E9m no treinamento dos profissionais envolvidos, com a constante difu=
s=E3o de novas t=E9cnicas e conhecimentos, que permitam =E0 investiga=E7=E3=
o cient=EDfica estar sempre =E0 frente dos criminosos.</p>
<p class=3D"sangria">Nos casos analisados, notou-se a preval=EAncia apenas =
dos objetos diretamente relacionados ao evento simulado, como armas e ve=ED=
culos e em alguns casos, bonecos para simular as v=EDtimas. Nessa senda, re=
comenda-se que os objetos que se relacionam ao fato devam sempre ser usados=
, podendo ser obtidos a partir do local em que estejam custodiados. N=E3o e=
stando os originais dispon=EDveis, que se use semelhantes, como os simulacr=
os de armas.</p>
<p class=3D"sangria">Outro ponto not=E1vel nos casos em comento foi o plane=
jamento do exame, preconizado pela doutrina, e que, em alguns laudos, foi e=
lencado na forma de etapas executadas, desde o acesso aos autos, demostrand=
o assim o cuidado com a metodologia aplicada.</p>
<p class=3D"sangria">Dentre as etapas que comp=F5em o planejamento, h=E1 qu=
e se destacar que uma visita anterior ao local da per=EDcia pode ser extrem=
amente =FAtil, mesmo que se tenha acesso a fotografias de outros exames. Is=
so, pois, uma vez no local, os peritos ter=E3o a perfeita compreens=E3o das=
 poss=EDveis dificuldades e medidas para minimiz=E1-las, como ficou evident=
e no =FAltimo caso analisado, em que essa visita pr=E9via revelou que o loc=
al se encontrava totalmente modificado no que tange =E0 vegeta=E7=E3o, nece=
ssitando que fosse buscado outro local com caracter=EDsticas semelhantes ao=
 original nas proximidades. Assim n=E3o fosse, o exame teria se tornado ine=
ficaz, deixando de responder relevante questionamento.</p>
<p class=3D"sangria">Al=E9m disso, n=E3o raro, nessa visita anterior ao loc=
al, =E9 poss=EDvel se fazer verdadeiro reprocessamento com a an=E1lise <spa=
n class=3D"italica">in loco</span> de vest=EDgios remanescentes do fato, co=
mo marcas de impacto de proj=E9teis e manchas de sangue e at=E9 mesmo de ve=
st=EDgios que n=E3o tenham sido percebidos ou encontrados ao primeiro exame=
, o que indubitavelmente, aumenta o leque de elementos materiais pass=EDvei=
s de serem confrontados com as vers=F5es ora analisadas.</p>
<p class=3D"sangria">Destaca-se ainda o cuidado dos profissionais em etapa =
primordial nesse tipo de exame, que =E9 a entrevista com os envolvidos (acu=
sados, testemunhas e v=EDtimas), quando ent=E3o s=E3o angariadas as informa=
=E7=F5es subjetivas, a partir da percep=E7=E3o dessas pessoas. Trata-se, se=
m d=FAvidas, do principal acr=E9scimo quando se compara um exame em local d=
e crime e um exame de reprodu=E7=E3o simulada de fatos.</p>
<p class=3D"sangria">Em artigo sobre entrevista com testemunhas de crimes, =
<a href=3D"http://marcalyc.redalyc.org/journal/6734/673472350001/html/index=
.html#redalyc_673472350001_ref18">Paulo, Albuquerque e Bull (2014)</a> disc=
orrem sobre Entrevista Cognitiva Melhorada, com =EAnfase em quatro t=E9cnic=
as, assim denominadas: <span class=3D"italica">Relatar Tudo, Reestabelecime=
nto do Contexto, Mudan=E7a de Ordem e Mudan=E7a de Perspectiva.  </span>
</p>
<p class=3D"sangria">A primeira t=E9cnica consiste em pedir =E0 testemunha =
que relate tudo o que recorda, com o maior grau de detalhe poss=EDvel, mesm=
o que tal informa=E7=E3o possa parecer trivial ou irrelevante =E0 testemunh=
a. Ensinam os autores que nem sempre a testemunha sabe avaliar que informa=
=E7=F5es s=E3o =FAteis =E0 investiga=E7=E3o e pequenos detalhes, al=E9m de =
poderem ser relevantes por si s=F3, ainda podem servir de gatilho para que =
outras mem=F3rias importantes sejam acessadas.</p>
<p class=3D"sangria">A segunda t=E9cnica consiste em pedir =E0 testemunha q=
ue recrie mentalmente o contexto f=EDsico do crime, bem como o seu estado f=
isiol=F3gico, cognitivo e emocional durante o evento. Essa mnem=F4nica =E9 =
crucial, pois uma dada mem=F3ria =E9 mais facilmente recuperada quando =E9 =
recriado o contexto em que ela foi codificada.</p>
<p class=3D"sangria">A terceira t=E9cnica =E9 executada pedindo =E0 testemu=
nha para relatar o crime atrav=E9s de uma ordem temporal diferente, habitua=
lmente a ordem inversa. Pretende-se assim que a testemunha utilize uma estr=
at=E9gia de recupera=E7=E3o diferente, pois diferentes estrat=E9gias de rec=
upera=E7=E3o poder=E3o ativar diferentes mem=F3rias. Lecionam que esta estr=
at=E9gia =E9 particularmente =FAtil quando a testemunha mant=E9m um forte e=
squema mental (padr=E3o organizado de pensamentos e comportamentos) sobre o=
 tipo de evento que procura relatar, como determinadas profiss=F5es em que =
a pessoa assiste diariamente determinadas situa=E7=F5es (criando assim um p=
adr=E3o mental involunt=E1rio) e que em um determinado dia incluem presenci=
ar um crime, sendo necess=E1rio t=E9cnicas especiais para acessar a mem=F3r=
ia do crime testemunhado, em meio ao padr=E3o j=E1 mentalizado.</p>
<p class=3D"sangria">A quarta e =FAltima t=E9cnica consiste em pedir =E0 te=
stemunha para adotar uma nova perspectiva em rela=E7=E3o ao fato, seja como=
 algu=E9m externo ao evento, ou mesmo interno, facilitando a evoca=E7=E3o d=
e novos detalhes.</p>
<p class=3D"sangria">Nota-se, portanto, que entrevistar testemunhas, bem co=
mo v=EDtimas e acusados numa RSF exige conhecimento e at=E9 mesmo treinamen=
to pr=E9vio, de modo a se extrair o m=E1ximo poss=EDvel daquelas mem=F3rias=
, com informa=E7=F5es mais completas e fidedignas, baseado em metodologias =
consolidadas, algo fundamental em se tratando de qualquer exame pericial.</=
p>
<p class=3D"sangria">Trata-se tamb=E9m de momento delicado, em que se deve =
evitar qualquer contato entre acusados e as demais pessoas ouvidas, o que c=
ertamente pode gerar constrangimento e sentimento de intimida=E7=E3o absolu=
tamente prejudiciais =E0s an=E1lises pretendidas.</p>
<p class=3D"sangria">Aqui ressalte-se o que foi feito no <span class=3D"neg=
rita">Quarto Caso</span> analisado, em que os peritos al=E9m de ouvirem sep=
aradamente os policiais envolvidos na ocorr=EAncia, daquelas testemunhas e =
v=EDtimas sobreviventes, o fizeram em momento distinto da reprodu=E7=E3o si=
mulada propriamente dita e fora do local do fato, nas depend=EAncias da del=
egacia respons=E1vel pela investiga=E7=E3o. Tal medida, certamente deixou a=
s v=EDtimas e testemunhas numa situa=E7=E3o de maior tranquilidade, com n=
=EDvel de tens=E3o muito inferior ao oferecido durante a RSF, sobretudo num=
 caso de enorme repercuss=E3o midi=E1tica, como era aquele. Do mesmo modo e=
 at=E9 mesmo observando os princ=EDpios de isonomia, os policiais foram ouv=
idos na mesma condi=E7=E3o, longe dos olhares e poss=EDvel revolta da comun=
idade local.</p>
<p class=3D"sangria">Cabe ressalva nesse caso ao fato de, pelo que se depre=
ende do laudo pericial, os policiais militares envolvidos na ocorr=EAncia t=
erem sido entrevistados em grupos, conforme a composi=E7=E3o das guarni=E7=
=F5es no dia do ocorrido.</p>
<p class=3D"sangria">Considera-se que, ainda que as oitivas individuais dos=
 envolvidos represente um acr=E9scimo consider=E1vel no tempo gasto e energ=
ias empreendidas, trata-se da forma mais indicada, visando minimizar a poss=
ibilidade de contamina=E7=E3o entre as vers=F5es e ajustes de fala dos decl=
arantes enquanto ouvidos.</p>
<p class=3D"sangria">Um ponto em que se notou certa car=EAncia metodol=F3gi=
ca, foi acerca de um registro contextual com maiores informa=E7=F5es sobre =
a ocorr=EAncia geradora da reprodu=E7=E3o simulada, as quais estavam ausent=
es em alguns dos casos estudados ou presentes apenas de forma superficial. =
Nesse ponto, considera-se recomend=E1vel que se fizessem presentes no item =
<span class=3D"italica">hist=F3rico</span> dos respectivos laudos.</p>
<p class=3D"sangria">Algo como identifica=E7=E3o de v=EDtimas e acusados, a=
l=E9m de m=EDnimas informa=E7=F5es sobre as circunst=E2ncias do crime ora a=
purado, certamente facilitaria a compreens=E3o do leitor acerca do que se e=
ncontra mais =E0 frente no texto. Por vezes, nos casos objetos de an=E1lise=
, observou-se que, ap=F3s as informa=E7=F5es preambulares, j=E1 foram trazi=
das as simula=E7=F5es, ilustradas por fotos, sem que se fornecesse informa=
=E7=F5es pr=E9vias sobre o ocorrido em si.</p>
<p class=3D"sangria">Mesmo nos casos de repercuss=E3o, em que, a princ=EDpi=
o, o redator do laudo pode partir do pressuposto que se trata de caso conhe=
cido, =E9 fundamental a contextualiza=E7=E3o do fato gerador da RSF, logo n=
a parte inicial do documento. Como dito alhures, considera-se que o laudo d=
e Reprodu=E7=E3o Simulada deva ser completo por natureza, independentemente=
 de outros fatores que possam estar presentes num caso em espec=EDfico.</p>
<p class=3D"sangria">Uma observa=E7=E3o interessante em alguns dos casos re=
latados, concerne ao papel da Reprodu=E7=E3o Simulada na percep=E7=E3o jorn=
al=EDstica e da popula=E7=E3o em geral acerca dos crimes apurados.</p>
<p class=3D"sangria">Essa an=E1lise =E9 exequ=EDvel nos casos de maior repe=
rcuss=E3o aqui tratados, como =E9 o da Reprodu=E7=E3o Simulada em Salvador,=
 que chamou muito a aten=E7=E3o =E0 =E9poca, n=E3o s=F3 pela quantidade de =
v=EDtimas (doze), mas sobretudo por se tratar de uma a=E7=E3o policial, o q=
ue naturalmente j=E1 atrai os holofotes da m=EDdia e o interesse da popula=
=E7=E3o.</p>
<p class=3D"sangria">Os registros daquela =E9poca tratavam o caso como verd=
adeira <span class=3D"italica">chacina</span>, ep=EDteto normalmente associ=
ado =E0 matan=E7a desenfreada de grande quantidade de pessoas, como se pode=
 ver na edi=E7=E3o digital do jornal =93Correio=94, de 18/05/2015, que traz=
ia como t=EDtulo =93Chacina com 12 mortos no Cabula foi planejada por PMs c=
omo vingan=E7a=94. A mat=E9ria cita ainda que =93as v=EDtimas foram baleada=
s por rajadas de metralhadoras efetuadas por militares=94.</p>
<p class=3D"sangria">J=E1 na edi=E7=E3o n.=BA 14.437 do peri=F3dico Tribuna=
 da Bahia, de 04/07/2015, ap=F3s a divulga=E7=E3o do laudo de RSF referente=
 ao caso, o t=EDtulo da mat=E9ria de capa era =93SSP desmonta tese de exter=
m=EDnio no Cabula=94, trazendo inclusive trechos do laudo pericial e ressal=
tando a conclus=E3o do laudo, de que se tratara de um verdadeiro confronto,=
 com tiros efetuados pelos policiais em resposta a agress=E3o previamente s=
ofrida.</p>
<p class=3D"sangria">Frise-se que o laudo fez an=E1lise meticulosa sobre a =
possibilidade de as v=EDtimas terem sido atingidas por rajadas de tiros, co=
mo fora destacado na publica=E7=E3o da =E9poca do fato. Al=E9m disso, o lau=
do assevera que uma das v=EDtimas foi morta com tiro desferido por arma enc=
ontrada com outra v=EDtima, o que revelou a ocorr=EAncia de =93fogo cruzado=
=94 entre as pr=F3prias v=EDtimas.</p>
<p class=3D"sangria">Conforme <a href=3D"http://marcalyc.redalyc.org/journa=
l/6734/673472350001/html/index.html#redalyc_673472350001_ref7">Fernandes (2=
016)</a>, a imprensa, denominada como o <span class=3D"italica">Quarto Pode=
r</span> gra=E7as =E0 sua capacidade de influenciar pensamentos, modificar =
e formar opini=F5es, quando usa sua for=E7a midi=E1tica aplicada com o dese=
jo de justi=E7a frente aos crimes impactantes e uma dose de sensacionalismo=
 pode gerar danos irrepar=E1veis e erros grotescos na aplica=E7=E3o do Dire=
ito.</p>
<p class=3D"sangria">Em que pese o fato de que diferentes empresas de comun=
ica=E7=E3o podem ter distintas linhas editoriais, ficou evidente que o exam=
e de RSF no caso em comento trouxe conclus=F5es diferentes do que havia sid=
o divulgado at=E9 ent=E3o, ainda que para alguns, possam restar contesta=E7=
=F5es.</p>
<p class=3D"sangria">J=E1 no caso aqui discutido da morte de dois delegados=
 da Pol=EDcia Federal em Florian=F3polis, ap=F3s a realiza=E7=E3o da RSF, m=
at=E9ria do site G1 de 17/10/17 trouxe, al=E9m da transcri=E7=E3o de trecho=
s do laudo pericial, informa=E7=F5es did=E1ticas ao p=FAblico sobre os obje=
tivos e procedimentos desse tipo de exame, por exemplo, quando explica que =
=93conforme o documento, h=E1 diverg=EAncias na vers=E3o do suspeito do cri=
me e nas evid=EAncias materiais com rela=E7=E3o ao momento do tiroteio=94; =
ou quando cita que =93cada reconstitui=E7=E3o foi feita separadamente, com =
dramatiza=E7=E3o dos peritos, conforme o relato de cada um dos envolvidos=
=94.</p>
<p class=3D"sangria">Nota-se, de modo geral, n=E3o s=F3 uma car=EAncia de c=
ompreens=E3o da sociedade acerca do efetivo valor do Exame de Reprodu=E7=E3=
o Simulada e dos reais objetivos pass=EDveis de serem atingidos, por vezes =
sendo tratado apenas como uma mera encena=E7=E3o de um fato, mas que, se de=
vidamente apresentado pelos =F3rg=E3os de imprensa, pode at=E9 mesmo altera=
r significativamente a percep=E7=E3o popular acerca de determinado evento c=
riminoso.</p>
<p class=3D"sangria">Visando resumir a an=E1lise metodol=F3gica dos cinco c=
asos estudados, segue abaixo a Tabela 1 contendo a s=EDntese dos aspectos m=
ais importantes, partindo de dez crit=E9rios previamente definidos, compila=
dos a partir da leitura dos respectivos laudos periciais.</p>
<p class=3D"sangria">
</p><div class=3D"imagen cuadro" id=3D"gf3">
<img width=3D"500px" src=3D"http://marcalyc.redalyc.org/journal/6734/673472=
350001/673472350001_gf5.png" class=3D"image" alt=3D"a an=E1lise metodol=F3g=
ica dos cinco casos estudados"><br>Tabela 1<br>
<span class=3D"captionS">a an=E1lise metodol=F3gica dos cinco casos estudad=
os</span>
<br>
<span class=3D"caption"></span>
</div>
<p></p>
<p class=3D"subtitulo italica">
<span class=3D"negrita">4.2 Proposta de sistematiza=E7=E3o do exame de RSF<=
/span>
</p>
<p class=3D"sangria">Com base na discuss=E3o e an=E1lises trazidas =E0 tona=
 ao longo do presente artigo passa-se =E0 proposta de sistematiza=E7</p>
<p class=3D"sangria">o do exame de RSSCV, iniciando-se pela fase de <span c=
lass=3D"negrita"><span class=3D"underline">planejamento </span></span>do tr=
abalho a ser executado.</p>
<p class=3D"sangria">O que deve ficar claro =E9 que ao realizar uma Reprodu=
=E7=E3o Simulada o perito criminal deve evitar ao m=E1ximo ser surpreendido=
 pelo que ouve do participante, bem como estar devidamente preparado para l=
idar com essas eventuais surpresas, o que se consegue com o devido estudo p=
r=E9vio do caso e planejamento minucioso de cada etapa do trabalho. Se em u=
m exame de local, o perito criminal nunca sabe o que ir=E1 de fato encontra=
r, o exame de Reprodu=E7=E3o Simulada tem cond=E3o exatamente oposto.</p>
<p class=3D"sangria">Essa etapa tem in=EDcio com a leitura dos autos recebi=
dos pelo perito respons=E1vel pelo exame, momento em que =E9 feito um filtr=
o dentre toda a documenta=E7=E3o que o comp=F5e. A =EAnfase deve ser dada a=
os termos de depoimentos/declara=E7=F5es dos envolvidos e aos laudos perici=
ais que foram produzidos no curso da investiga=E7=E3o.</p>
<p class=3D"sangria">Recomenda-se que em paralelo, o <span class=3D"italica=
">expert</span> produza um resumo dos pontos-chaves, tanto das oitivas quan=
to dos laudos, de modo a ter f=E1cil acesso =E0s informa=E7=F5es mais impor=
tantes em momento posterior e at=E9 mesmo quando da confec=E7=E3o do laudo =
pericial de reprodu=E7=E3o simulada.</p>
<p class=3D"sangria">Uma vez ciente da</p>
<p class=3D"sangria">Com base na discuss=E3o e an=E1lises trazidas =E0 tona=
 ao longo do presente artigo passa-se =E0 proposta de sistematiza=E7=E3o do=
 exame de RSSCV, iniciando-se pela fase de planejamento do trabalho a ser e=
xecutado.</p>
<p class=3D"sangria">O que deve ficar claro =E9 que ao realizar uma Reprodu=
=E7=E3o Simulada o perito criminal deve evitar ao m=E1ximo ser surpreendido=
 pelo que ouve do participante, bem como estar devidamente preparado para l=
idar com essas eventuais surpresas, o que se consegue com o devido estudo p=
r=E9vio do caso e planejamento minucioso de cada etapa do trabalho. Se em u=
m exame de local, o perito criminal nunca sabe o que ir=E1 de fato encontra=
r, o exame de Reprodu=E7=E3o Simulada tem cond=E3o exatamente oposto.</p>
<p class=3D"sangria">Essa etapa tem in=EDcio com a leitura dos autos recebi=
dos pelo perito respons=E1vel pelo exame, momento em que =E9 feito um filtr=
o dentre toda a documenta=E7=E3o que o comp=F5e. A =EAnfase deve ser dada a=
os termos de depoimentos/declara=E7=F5es dos envolvidos e aos laudos perici=
ais que foram produzidos no curso da investiga=E7=E3o.</p>
<p class=3D"sangria">Recomenda-se que em paralelo, o expert produza um resu=
mo dos pontos-chaves, tanto das oitivas quanto dos laudos, de modo a ter f=
=E1cil acesso =E0s informa=E7=F5es mais importantes em momento posterior e =
at=E9 mesmo quando da confec=E7=E3o do laudo pericial de reprodu=E7=E3o sim=
ulada.</p>
<p class=3D"sangria">Uma vez ciente das particularidades do caso, o perito =
deve fazer uma lista dos recursos materiais necess=E1rios =E0 execu=E7=E3o =
dos trabalhos e ainda dos recursos humanos, aqui compreendidos como as pess=
oas que atuar=E3o no momento da simula=E7=E3o, interpretando os pap=E9is do=
s envolvidos ou mesmo como figurantes numa cena, se necess=E1rio. Deve-se i=
ncluir nesse rol a quantidade de pessoas estimada para as tarefas de isolam=
ento do local e de separa=E7=E3o e acompanhamento dos envolvidos at=E9 o mo=
mento da participa=E7=E3o de cada um.</p>
<p class=3D"sangria">O pr=F3ximo passo consiste em uma reuni=E3o com a auto=
ridade requisitante, para que as expectativas e procedimentos sejam alinhad=
os, visando ao alcance dos objetivos pretendidos. Aqui se leva at=E9 a auto=
ridade a lista de recursos humanos e materiais indispens=E1veis =E0 execu=
=E7=E3o dos trabalhos e que foi definida anteriormente, uma vez ser ela, a =
autoridade requisitante, respons=E1vel por fornecer ao perito e sua equipe =
de trabalho os meios e recursos pertinentes, sobretudo, quando se considera=
 a realidade das per=EDcias estaduais, sabidamente com menos recursos quand=
o comparada =E0 per=EDcia federal.</p>
<p class=3D"sangria">Essa etapa termina com a divis=E3o de tarefas entre a =
equipe pericial, seja ela toda composta de peritos ou de peritos e auxiliar=
es criminal=EDsticos, separando, por exemplo, a responsabilidade pelos trab=
alhos de fotografias e croquis, daquela relacionadas =E0s oitivas e simula=
=E7=F5es.</p>
<p class=3D"sangria">A segunda etapa aqui sistematizada =E9 a <span class=
=3D"negrita"><span class=3D"underline">execu=E7=E3o</span></span> do exame =
de RSCCV, que tem in=EDcio com a apresenta=E7=E3o da equipe pericial ao res=
pons=E1vel pelo local. Ressalte-se que o habitual =E9 que o perito e sua eq=
uipe encontrem o local j=E1 isolado e com a devida prepara=E7=E3o pr=E9via,=
 com base no que fora acordado quando da reuni=E3o com o requisitante. Caso=
 as medidas de isolamento sejam consideradas insuficientes ou inadequadas, =
deve o perito coordenar a readequa=E7=E3o, tendo em vista as necessidades i=
ntr=EDnsecas ao caso.</p>
<p class=3D"sangria">Importa ainda destacar nesse in=EDcio do trabalho que =
o coordenador da equipe pericial se dirija =E0s pessoas intimadas para o at=
o e fa=E7a uma breve explana=E7=E3o do que se trata aquele exame, seus obje=
tivos e etapas conseguintes, sendo tamb=E9m recomend=E1vel certa =EAnfase p=
ara a imparcialidade do trabalho pericial.</p>
<p class=3D"sangria">Acredita-se que tal medida, al=E9m de fornecer os escl=
arecimentos m=EDnimos, pode tamb=E9m trazer um pouco de tranquilidade e con=
fian=E7a para aqueles que ser=E3o ouvidos, especialmente em se tratando de =
pessoas mais humildes ou abaladas pelo crime em investiga=E7=E3o.</p>
<p class=3D"sangria">Ressalte-se a indispensabilidade de que os investigado=
s sejam mantidos todo o tempo afastados de v=EDtimas e testemunhas e ainda =
que, em casos de m=FAltiplos investigados, como nas averigua=E7=F5es de int=
erven=E7=F5es policiais, cada um seja mantido isolado antes e depois de sua=
 oitiva, at=E9 o momento da simula=E7=E3o de sua vers=E3o, com o fito de qu=
e um n=E3o acompanhe a vers=E3o prestada por outro e, assim, possa fazer aj=
ustes ou modifica=E7=F5es em sua pr=F3pria vers=E3o.</p>
<p class=3D"sangria">A partir da=ED, procede-se =E0 fase de entrevista dos =
envolvidos, que se prop=F5e, seja realizada em tr=EAs passos:</p>
<p class=3D"sangria">O primeiro se denominou de entrevista livre, momento e=
m que o perito solicita que o participante d=EA o seu relato franco sobre o=
 que viu ou ouviu, relacionado ao fato em comento, sem interrup=E7=F5es ou =
questionamentos.</p>
<p class=3D"sangria">O segundo se denominou de <span class=3D"underline">en=
trevista guiada</span>, uma vez que agora o perito realiza perguntas espec=
=EDficas sobre o evento, de modo a esclarecer ou confirmar pontos controver=
sos. Ressalte-se que a sugest=E3o =E9 que as perguntas sejam previamente fo=
rmuladas, a partir da leitura dos autos e colocadas em uma ficha-resumo a s=
er utilizada nesse momento. Caso necess=E1rio, mediante fatos novos, outras=
 perguntas al=E9m das pr=E9-elaboradas podem ser realizadas.</p>
<p class=3D"sangria">O terceiro passo denominou-se <span class=3D"underline=
">entrevista din=E2mica</span>. Nesse momento pede-se que o declarante n=E3=
o s=F3 se expresse de forma verbal, mas sobretudo, com movimentos, a=E7=F5e=
s, gestos, o que =E9 ainda mais relevante no caso desse declarante ter tido=
 participa=E7=E3o ativa no evento, como acusado ou v=EDtima, reproduzindo a=
ssim, da forma mais fiel poss=EDvel, o que fizera (ou presenciara) no event=
o original.</p>
<p class=3D"sangria">Frise-se que, em qualquer dessas fases de entrevistas,=
 t=E9cnicas espec=EDficas e j=E1 mencionadas alhures podem e devem ser adot=
adas, uma vez que ativar as mem=F3rias de um fato, por vezes traum=E1tico e=
 talvez, ap=F3s longo tempo decorrido, nem sempre =E9 tarefa facilmente suc=
edida.</p>
<p class=3D"sangria">De posse de todas essas informa=E7=F5es e tomadas as o=
bserva=E7=F5es que se fizerem necess=E1rias, tem o perito todos os elemento=
s para realizar a derradeira etapa do exame de RSF, qual seja, a simula=E7=
=E3o propriamente dita. Nela, recomenda-se que a pessoa ora ouvida represen=
te a si mesma, sendo os demais participantes representados por atores, em u=
ma encena=E7=E3o que tem como base os relatos de uma pessoa em espec=EDfico=
, mas que =E9 conduzida pelo perito criminal, tal qual um diretor cinematog=
r=E1fico, com as devidas paradas para que sejam feitos os registros fotogr=
=E1ficos/escaneamento 3D, ou mesmo de forma cont=EDnua, por meio de c=E2mer=
as de v=EDdeo.</p>
<p class=3D"sangria">Acerca das fotografias, recomenda-se que sejam feitas,=
 no m=EDnimo, por dois =E2ngulos diferentes, sendo um, sob olhar de um obse=
rvador externo e com campo visual que abarque todos os elementos da cena e =
o outro, a partir do campo de vis=E3o da pessoa que presta o relato. Ademai=
s, determinadas passagens carecem de fotos de aproxima=E7=E3o e detalhe, co=
mo no caso da empunhadura de uma arma de fogo para a execu=E7=E3o de um tir=
o, ou de um golpe desferido a faca que atinge de forma certeira o corpo de =
outrem, por exemplo.</p>
<p class=3D"sangria">Faz-se necess=E1ria ainda a tomada de certas medidas =
=96 amarra=E7=F5es =96 para a confec=E7=E3o posterior de croquis e esquemas=
 ilustrativos. =C9 recomend=E1vel at=E9 que o perito j=E1 leve para a RSF u=
m esquema pr=E9-elaborado, tal qual uma planta baixa do local, que pode ser=
 produzida a partir de visita pr=E9via ou de informa=E7=F5es do laudo de lo=
cal, e nesse esquema ele apenas posiciona os elementos principais da cena r=
eproduzida, com as devidas amarra=E7=F5es, o que ternar=E1 o trabalho mais =
=E1gil.</p>
<p class=3D"sangria">Em seguida, se aplic=E1vel ao caso, prop=F5e-se sejam =
realizados exames complementares que possam trazer maior credibilidade =E0s=
 vers=F5es, como os testes de visibilidade, audibilidade, an=E1lises tempor=
ais, testes bal=EDsticos, entre outros que sejam cab=EDveis.</p>
<p class=3D"sangria">Uma vez realizadas as etapas aqui descritas, tem-se po=
r terminado o trabalho do perito criminal in loco, levando consigo o conjun=
to de anota=E7=F5es, fotografias, grava=E7=F5es de =E1udio e v=EDdeo, entre=
 outros elementos, que ser=E3o a base para os estudos posteriores e <span c=
lass=3D"negrita"><span class=3D"underline">elabora=E7=E3o do laudo pericial=
</span></span>, cuja estrutura =E9 proposta a seguir.</p>
<p class=3D"sangria">Assim como os laudos de outras naturezas, o de RSCCV t=
em in=EDcio com informa=E7=F5es preambulares acerca da requisi=E7=E3o e rea=
liza=E7=E3o do exame, seguido do hist=F3rico do fato. Como j=E1 dito anteri=
ormente, nesse item =96 hist=F3rico =96 considera-se apropriado que o perit=
o forne=E7a de forma objetiva informa=E7=F5es sobre as circunst=E2ncias do =
crime ora investigado e seus envolvidos, levando ao leitor do laudo a neces=
s=E1ria contextualiza=E7=E3o do caso.</p>
<p class=3D"sangria">No pr=F3ximo t=F3pico recomenda-se que o relator elenq=
ue os quesitos formulados pela autoridade requisitante, os quais ser=E3o re=
spondidos ao final do laudo. A aus=EAncia de respostas nesse item decorre d=
o fato de que elas s=F3 ser=E3o constru=EDdas ap=F3s a an=E1lise desenvolvi=
da no corpo do laudo. Apesar disso, sua presen=E7a no in=EDcio j=E1 indica =
ao leitor quais s=E3o as d=FAvidas que precisam ser esclarecidas no laudo e=
m quest=E3o.</p>
<p class=3D"sangria">O item denominado =93objetivos=94 =E9 meramente protoc=
olar e apenas recomenda-se ao relator que destaque se tratar de um exame qu=
e visa analisar a viabilidade de vers=F5es sobre o fato em comento, verific=
ando a possibilidade de o fato ter sido praticado de determinado modo. Em h=
avendo quesitos, constitui-se tamb=E9m em um dos objetivos fornecer respost=
a a eles.</p>
<p class=3D"sangria">O pr=F3ximo t=F3pico destina-se a que o perito apenas =
elenque os documentos que serviram para a an=E1lise do caso, uma vez que na=
 =EDntegra dos autos, muitos documentos s=E3o inserv=EDveis para o exame de=
 RSF. A inten=E7=E3o =E9 trazer de forma clara as refer=EAncias usadas no e=
studo do caso, como os laudos periciais, identificados por seus n=FAmeros d=
e registro interno, al=E9m dos termos de depoimentos/declara=E7=F5es dos en=
volvidos.</p>
<p class=3D"sangria">A seguir, tal qual num laudo de exame em local de crim=
e, prop=F5e-se sejam feitos os apontamentos acerca das medidas de isolament=
o utilizadas e eventuais intercorr=EAncias nesse aspecto, seguido da descri=
=E7=E3o do local: endere=E7o, caracter=EDsticas geogr=E1ficas/f=EDsicas, lo=
cal mediato/imediato, al=E9m das condi=E7=F5es clim=E1ticas e condi=E7=F5es=
 de visibilidade/luminosidade.</p>
<p class=3D"sangria">Aqui devem ser feitas tamb=E9m considera=E7=F5es sobre=
 eventuais modifica=E7=F5es constatadas no local em rela=E7=E3o ao cen=E1ri=
o original, como altera=E7=F5es numa via de tr=E2nsito, numa constru=E7=E3o=
, no mobili=E1rio de uma casa, ou mesmo na vegeta=E7=E3o, como apontando nu=
m dos casos j=E1 analisados. Adapta=E7=F5es realizadas no momento do exame =
devem ser especificadas nesse t=F3pico.</p>
<p class=3D"sangria">Os pr=F3ximos tr=EAs t=F3picos propostos s=E3o conside=
rados o cerne do laudo de reprodu=E7=E3o simulada, pontos em que o perito d=
esenvolve minuciosamente a an=E1lise do caso.</p>
<p class=3D"sangria">No primeiro deve-se fazer uma compila=E7=E3o das infor=
ma=E7=F5es t=E9cnicas oriundas dos laudos periciais produzidos no curso da =
investiga=E7=E3o, quais sejam, Laudo de Exame de Local, Laudo Cadav=E9rico =
e outros laudos complementares que tenham rela=E7=E3o com o caso, como os l=
audos bal=EDsticos num caso em que se tenha utilizado arma de fogo.</p>
<p class=3D"sangria">No segundo, deve o perito trazer o resumo das vers=F5e=
s apresentadas por cada envolvido, tanto em depoimentos na fase de investig=
a=E7=E3o, quanto na oitiva realizada por ocasi=E3o da RSF.</p>
<p class=3D"sangria">H=E1 que se considerar aqui o poder de s=EDntese e obj=
etividade do <span class=3D"italica">expert</span> tanto ao extrair dos lau=
dos as informa=E7=F5es que ser=E3o =FAteis para a an=E1lise, quanto ao tran=
screver as vers=F5es de investigados, v=EDtimas e testemunhas, evitando ao =
m=E1ximo a prolixidade.</p>
<p class=3D"sangria">O terceiro e mais importante t=F3pico, ao qual denomin=
ou-se =93discuss=E3o=94, constitui-se na confronta=E7=E3o entre as informa=
=E7=F5es trazidas nos dois t=F3picos anteriores, ou seja, aqui as vers=F5es=
 devem ser analisadas de forma pormenorizada =E0 luz dos elementos materiai=
s sopesados nos laudos periciais j=E1 produzidos e at=E9 mesmo no j=E1 menc=
ionado reprocessamento do local, a partir do que se ir=E1 concluir pela via=
bilidade/plausabilidade ou n=E3o, de cada vers=E3o reproduzida.</p>
<p class=3D"sangria">=C9 esse exerc=EDcio realizado acima que, ao fim e ao =
cabo, permitir=E1 ao perito, na forma de uma an=E1lise precisa e n=E3o subj=
etiva <span class=3D"italica">=93verificar a possibilidade de haver a infra=
=E7=E3o sido praticada de determinado modo=94</span>, tal qual preconiza o =
artigo 7=BA do C=F3digo de Processo Penal.</p>
<p class=3D"sangria">Frise-se que o confronto =93vers=E3o x vers=E3o=94 tam=
b=E9m deve ser realizado. Por=E9m, considera-se que um laudo de reprodu=E7=
=E3o simulada n=E3o deva se restringir a isso, dada a subjetividade da an=
=E1lise, resultando num exame pericial fr=E1gil e facilmente question=E1vel=
.</p>
<p class=3D"sangria">Feitas as an=E1lises acima explanadas, chega-se =E0 co=
nclus=E3o do laudo e, por fim, =E0 resposta aos quesitos, caso tenham sido =
formulados, os quais devem ser respondidos com clareza e objetividade, visa=
ndo n=E3o deixar d=FAvidas.</p>
<p class=3D"sangria">Acerca do laudo pericial, n=E3o se pretende propor mod=
elo estanque, mas t=E3o somente sugerir os t=F3picos fundamentais para a pr=
etens=E3o de um exame dessa natureza, tal qual se exp=F4s no compilado de c=
asos aqui analisados. A estes podem se somar outros t=F3picos cab=EDveis no=
 caso concreto, ou ao contr=E1rio, serem suprimidos, como na ocasi=E3o em q=
ue n=E3o tenha havido per=EDcia de local quando do fato, o que, obviamente,=
 dispensa os t=F3picos correlatos, tanto acerca do campo que traz as inform=
a=E7=F5es desse laudo, como na discuss=E3o, onde se indica o confronto das =
vers=F5es com o laudo de local.</p>
<p class=3D"sangria">A Figura 1 traz um esquema ilustrativo compreendendo a=
s tr=EAs etapas aqui organizadas de forma sist=EAmica: o planejamento do ex=
ame de RSCCV, a sua execu=E7=E3o e o laudo pericial.</p>
<p class=3D"sangria">Por fim, vale uma ressalva final acerca do Exame de Re=
produ=E7=E3o Simulada de Fatos, especialmente voltada aos leitores/destinat=
=E1rios do laudo pericial, de que se trata de um exame complexo e, por veze=
s, deveras trabalhoso, por=E9m, cujas conclus=F5es n=E3o devem ser interpre=
tadas como a forma que o crime efetivamente ocorreu, mas t=E3o somente que =
ele poderia ter ocorrido daquela forma, ou ainda ao contr=E1rio, que de tal=
 forma ele n=E3o <span class=3D"underline">poderia ter ocorrido</span>. Ao =
se compreender essa limita=E7=E3o, muitas das cr=EDticas eventualmente feit=
as a respeito desse exame deixam de ter sentido.</p>
<p class=3D"sangria">
</p><div class=3D"imagen cuadro" id=3D"gf2">
<img width=3D"500px" src=3D"http://marcalyc.redalyc.org/journal/6734/673472=
350001/673472350001_gf4.png" class=3D"image" alt=3D"Reprodu=E7=E3o Simulada=
 de fatos =96 do planejamento ao laudo pericial."><br>Figura 1<br>
<span class=3D"captionS">Reprodu=E7=E3o Simulada de fatos =96 do planejamen=
to ao laudo pericial.</span>
<br>
<span class=3D"caption"></span>
</div>
<p></p>
<p class=3D"negrita seccion">
<span class=3D"negrita">5. CONSIDERA=C7=D5ES FINAIS</span>
</p>
<p class=3D"sangria">A presente pesquisa teve como mote a percep=E7=E3o de =
certa lacuna na =E1rea em comento e que atinge um valioso exame pericial co=
mo formador de convic=E7=E3o, reconhecidamente importante na persecu=E7=E3o=
 penal, que =E9 o Exame de Reprodu=E7=E3o Simulada de Fatos.</p>
<p class=3D"sangria">Mais do que isso, percebeu-se certa falta de padroniza=
=E7=E3o quanto a esse exame, que cada vez mais =E9 solicitado nos casos de =
crimes contra a vida, requerendo melhor qualifica=E7=E3o por parte dos prof=
issionais que o executam.</p>
<p class=3D"sangria">A partir de pesquisa procedida na forma de Estudo de C=
asos, buscou-se responder se existe uma sistematiza=E7=E3o metodol=F3gica n=
os exames de Reprodu=E7=E3o Simulada de Crimes Contra a Vida (RSCCV) realiz=
ados por diferentes centros de per=EDcia criminal pelo Brasil.</p>
<p class=3D"sangria">O que se p=F4de concluir =E9 que a hip=F3tese inicial,=
 de que n=E3o havia a devida padroniza=E7=E3o metodol=F3gica para esse tipo=
 de exame, foi confirmada. Os cinco casos trazidos =E0 baila, bem como a an=
=E1lise global envolvendo toda a amostra de laudos compilada na fase inicia=
l da pesquisa refor=E7aram essa hip=F3tese.</p>
<p class=3D"sangria">No tocante ao objetivo geral, considera-se t=EA-lo ati=
ngido com =EAxito, a partir da elabora=E7=E3o de proposta estruturada de ex=
ecu=E7=E3o do exame de RSCCV, bem como do produto desse trabalho, destinado=
 ao laudo pericial desta modalidade.</p>
<p class=3D"sangria">Al=E9m disso, os objetivos listados como espec=EDficos=
 tamb=E9m foram alcan=E7ados de modo satisfat=F3rio, seguindo as etapas pre=
viamente definidas no projeto original, com destaque para o minucioso estud=
o de casos levado a efeito, por meio do qual se discutiu uma s=E9rie de par=
=E2metros metodol=F3gicos considerados importantes, bem como se delimitou e=
tapas claras a serem executadas desde a leitura dos autos at=E9 a confec=E7=
=E3o do laudo pericial. Tudo isso, ao final, resultou num manual objetivo, =
capaz de nortear a realiza=E7=E3o desse tipo de exame, bem como de ajudar a=
 minimizar eventuais falhas, contribuindo para um trabalho integralmente ef=
icaz.</p>
<p class=3D"sangria">Apesar do esfor=E7o dispensado e do cuidado metodol=F3=
gico, visando assegurar a qualidade e validade dos resultados, a presente p=
esquisa encontrou certas dificuldades, entre as quais vale mencionar a pequ=
ena quantidade de estudos j=E1 realizados sobre a tem=E1tica em quest=E3o, =
seja na forma de artigos, teses ou disserta=E7=F5es, o que se soma ainda =
=E0 parca literatura nacional, feita apenas na forma de um cap=EDtulo em al=
gumas obras de Criminal=EDstica Geral e escritos pelos mesmos autores.</p>
<p class=3D"sangria">Contudo, o reconhecimento de empecilhos n=E3o deprecia=
 o resultado final e, tal qual pretendido inicialmente, conseguiu-se, a par=
tir dos cinco casos selecionados para fomentar a pesquisa, avaliar de forma=
 qualitativa todos os par=E2metros pretendidos e, por meio deles, propor um=
a metodologia de trabalho qualificada e exequ=EDvel sem grandes dificuldade=
s.</p>
<p class=3D"sangria">Ao realizar a presente pesquisa, al=E9m da satisfa=E7=
=E3o e crescimento profissional obtidos, considera-se contribuir para a for=
ma=E7=E3o de profissionais afetos ao exame em quest=E3o, que ter=E3o dispon=
=EDvel novo material, sobretudo aqueles em in=EDcio de carreira ou que nunc=
a tenham realizado tal exame. Al=E9m disso =96 e o mais importante =96 cont=
ribui-se para que seja oferecido ao sistema de persecu=E7=E3o penal um docu=
mento (laudo pericial) de melhor qualidade, o que, ao fim e ao cabo, vem ao=
s anseios da pr=F3pria sociedade, com o sentimento de justi=E7a j=E1 t=E3o =
combalido.</p>
<p class=3D"sangria">A confirma=E7=E3o da hip=F3tese precursora evidenciou =
que se faz necess=E1rio que, assim como foi feito com outras =E1reas da Cri=
minal=EDstica, continuamente exploradas em busca de melhorias e padroniza=
=E7=F5es, tal qual as =E1reas de DNA, Bal=EDstica, Papiloscopia, entre outr=
as; seja feito nas =E1reas de Local=EDstica, como o exame de Reprodu=E7=E3o=
 Simulada de Fatos, carente de padroniza=E7=E3o, como aqui demonstrado. Al=
=E9m disso, a solu=E7=E3o do problema passa indubitavelmente pela cont=EDnu=
a qualifica=E7=E3o dos profissionais que o executam.</p>
<p class=3D"sangria">Em rela=E7=E3o =E0 continuidade da pesquisa, uma vez q=
ue o resultado apresentado =E9 limitado pelo pr=F3prio escopo previamente p=
lanejado e sequer se almejou esgotar o tema, algumas sugest=F5es surgem com=
o possibilidades de prosseguimento do trabalho, tais como: 1) avaliar-se o =
grau de contribui=E7=E3o do laudo de RSCCV no Relat=F3rio Final de Inqu=E9r=
ito Policial produzido pela autoridade policial e/ou na decis=E3o judicial =
pertinente ao caso; 2) avaliar-se a qualifica=E7=E3o e percep=E7=E3o dos pe=
ritos criminais acerca do exame de RSCCV, por meio de entrevistas e/ou ques=
tion=E1rios; 3) propor-se se a padroniza=E7=E3o dos exames complementares a=
trel=E1veis =E0 uma RSF, como an=E1lises temporais, testes de visibilidade,=
 audibilidade, bal=EDsticos, entre outros.</p>
<p class=3D"negrita seccion">
<span class=3D"negrita">BIOGRAFIA DA AUTORIA</span>
</p>
<p class=3D"sangria">
<span class=3D"negrita">Hugo Lincoln Martins</span>
</p>
<p class=3D"sangria">Perito Criminal Oficial da Pol=EDcia T=E9cnico-Cient=
=EDfica do Estado de Goi=E1s desde 2004, lotado no Grupo Especializado em P=
er=EDcias de Crimes Contra a Vida do Instituto de Criminal=EDstica Leonardo=
 Rodrigues, em Goi=E2nia. Possui gradua=E7=E3o em Farm=E1cia pela Universid=
ade Federal de Goi=E1s. Especializa=E7=E3o em Altos Estudos de Seguran=E7a =
P=FAblica (CAESP) pela Universidade Estadual de Goi=E1s. Especializando em =
Criminal=EDstica Aplicada a Locais de Crime pela Academia Nacional de Pol=
=EDcia.</p>
<p class=3D"sangria">
<span class=3D"negrita">Guilherme Henrique Braga de Miranda</span>
</p>
<p class=3D"sangria">=C9 perito criminal federal aposentado da Pol=EDcia Fe=
deral, tendo sido chefe do Setor de Desenvolvimento Institucional da Direto=
ria T=E9cnico-Cient=EDfica de 2019 a 2021, atuando profissionalmente tamb=
=E9m na Academia Nacional de Pol=EDcia. Tem experi=EAncia na =E1rea de Ecol=
ogia e Biologia da Conserva=E7=E3o, em particular, nos temas: Cerrado, Ecol=
ogia, Conserva=E7=E3o, Mam=EDferos, Tamandu=E1-bandeira e Monitoramento de =
fauna. Como professor da Academia Nacional de Pol=EDcia, leciona temas rela=
cionados ao meio ambiente, criminal=EDstica e metodologia cient=EDfica. =C9=
 professor de M=E9todos da Pesquisa e orientador de monografias dos cursos =
de p=F3s-gradua=E7=E3o e foi editor respons=E1vel pelas publica=E7=F5es da =
Escola Superior de Pol=EDcia/ANP (Revista Brasileira de Ci=EAncias Policiai=
s, revista Seguran=E7a P=FAblica e Cidadania e s=E9rie Cadernos ANP), sendo=
 membro do Conselho Editorial da Revista Brasileira de Ci=EAncias Policiais=
. Membro do Conselho Curador da Funda=E7=E3o Brasileira de Ci=EAncias Polic=
iais (2013-2014), membro da Sociedade Brasileira de Ci=EAncias Forenses e d=
a Academia Brasileira de Ci=EAncias Forenses. Membro titular do Comit=EA Ge=
stor de Capacita=E7=E3o/ANP/PF, de julho de 2011 a maio de 2018. Membro fun=
dador do Conselho Editorial da ANP Editora de agosto de 2018 a abril de 202=
1. Faz parte do Grupo de Assessoramento T=E9cnico do Plano de A=E7=E3o Naci=
onal para a Conserva=E7=E3o do Tamandu=E1-bandeira e do Tatu-canastra do In=
stituto Chico Mendes de Conserva=E7=E3o da Biodiversidade.</p>
</div>
<div id=3D"back">
<p class=3D"negrita seccion">
<span class=3D"negrita">REFER=CANCIAS</span>
</p>
<p class=3D"bibliografia" id=3D"redalyc_673472350001_ref1">CHACINA com 12 m=
ortos no Cabula foi planejada por PMs como vingan=E7a. Correio, Salvador, 1=
8 mai. 2015. Dispon=EDvel em:  Acesso em: 20/07/21.</p>
<p class=3D"bibliografia" id=3D"redalyc_673472350001_ref2">CHIZZOTTI, Anton=
io. <span class=3D"negrita">Pesquisa em ci=EAncias humanas e sociais</span>=
. 12 ed. S=E3o Paulo: Cortez Editora, 2018.</p>
<p class=3D"bibliografia" id=3D"redalyc_673472350001_ref3">DENARDIN, Adrian=
a. Proposta de procedimento para realiza=E7=E3o de reprodu=E7=E3o simulada =
virtual dos fatos (RSF 3D). <span class=3D"negrita">Disserta=E7=E3o de mest=
rado =96 Faculdade de Arquitetura, Universidade Federal do Rio Grande do Su=
l</span>, Porto Alegre, 2013.</p>
<p class=3D"bibliografia" id=3D"redalyc_673472350001_ref4">ESPINDULA, Alber=
i. in: STUMVOLL, Victor Paulo. <span class=3D"negrita">Criminal=EDstica. </=
span>6 ed. Campinas: Millennium Editora, 2014. p. 11-54.</p>
<p class=3D"bibliografia" id=3D"redalyc_673472350001_ref5">ESPINDULA, Alber=
i; BRUNI, Aline Tha=EDs; VELHO, Jesus Antonio. Reprodu=E7=E3o Simulada. <sp=
an class=3D"italica">In:</span> VELHO, Jesus Antonio; COSTA, Karina Alves; =
DAMASCENO, Clayton Tadeu Moura. <span class=3D"negrita">Locais de crime:</s=
pan> dos vest=EDgios =E0 din=E2mica criminosa. Campinas: Millennium Editora=
, 2013. Cap. 16. p. 485-510.</p>
<p class=3D"bibliografia" id=3D"redalyc_673472350001_ref6">ESPINDULA, Alber=
i. <span class=3D"negrita">Per=EDcia Criminal e C=EDvel: uma vis=E3o geral =
para peritos e usu=E1rios da per=EDcia. </span>4 ed. Campinas: Millennium E=
ditora, 2013.</p>
<p class=3D"bibliografia" id=3D"redalyc_673472350001_ref7">FERNANDES, Maria=
 Rayane de Oliveira. A influ=EAncia da m=EDdia nos casos de grande como=E7=
=E3o social e no processo penal. Natal, 2016. Dispon=EDvel em: Acesso em: 2=
0/07/21.</p>
<p class=3D"bibliografia" id=3D"redalyc_673472350001_ref8">FONSECA, Adilson=
. SSP desmonta a tese de massacre no Cabula. <span class=3D"negrita">Tribun=
a da Bahia</span>, Salvador, ano XLII, n. 14.437, 04 jul. 2015. Cidade, p.7=
.</p>
<p class=3D"bibliografia" id=3D"redalyc_673472350001_ref9">F=D3RUM BRASILEI=
RO DE SEGURAN=C7A P=DABLICA. Anu=E1rio Brasileiro de Seguran=E7a P=FAblica.=
 S=E3o Paulo, 2020. Dispon=EDvel em: Acesso em: 15 mai. 2021.</p>
<p class=3D"bibliografia" id=3D"redalyc_673472350001_ref10">FREIRE, Eduardo=
. A reprodu=E7=E3o simulada dos fatos no processo penal. S=E3o Paulo, 2020.=
</p>
<p class=3D"bibliografia" id=3D"redalyc_673472350001_ref11">GANDIN, Jerry C=
ristian; LARA Alexandre Guilherme de. <span class=3D"negrita">Laudo n=BA 65=
.630/2015</span>. Natureza do Exame: Reprodu=E7=E3o Simulada. Local: Rua Co=
mendador Ara=FAjo, 252, Centro, Curitiba/PR. 2015</p>
<p class=3D"bibliografia" id=3D"redalyc_673472350001_ref12">INSTITUTO SOU D=
A PAZ. Onde mora a impunidade? Porque o Brasil precisa de um Indicador Naci=
onal de Esclarecimento de Homic=EDdios. S=E3o Paulo, 2020. Dispon=EDvel em:=
  Acesso em: 15 mai. 2021.</p>
<p class=3D"bibliografia" id=3D"redalyc_673472350001_ref13">LAITART, Karina=
 R=E9bulla. <span class=3D"negrita">Laudo n=BA 128.547</span>. Natureza do =
exame: Reprodu=E7=E3o Simulada. Local: Avenida Presidente Ernesto Geisel, e=
squina com Rua 26 de Agosto, Centro, Campo Grande/MS. 2017.</p>
<p class=3D"bibliografia" id=3D"redalyc_673472350001_ref14">LAUDO da recons=
titui=E7=E3o da morte de delegados da PF em SC aponta inconsist=EAncia na v=
ers=E3o de suspeito. G1, Santa Catarina, 17 out. 2017. Dispon=EDvel em:  Ac=
esso em: 20/07/21</p>
<p class=3D"bibliografia" id=3D"redalyc_673472350001_ref15">LIMA, Renato Br=
asileiro de. <span class=3D"negrita">C=F3digo de Processo Penal comentado</=
span>. 6 ed. Salvador: Juspodivm, 2021.</p>
<p class=3D"bibliografia" id=3D"redalyc_673472350001_ref16">LOPES J=DANIOR,=
 Aury. <span class=3D"negrita">Direito Processual Penal. </span>17 ed. S=E3=
o Paulo: Saraiva Educa=E7=E3o, 2020.</p>
<p class=3D"bibliografia" id=3D"redalyc_673472350001_ref17">MEDEIROS, Fl=E1=
via. <span class=3D"negrita">Pol=EDticas de Pericia Criminal na Garantia do=
s Direitos Humanos =96 Relat=F3rio sobre a autonomia da Per=EDcia T=E9cnico=
-Cient=EDfica no Brasil</span>. S=E3o Paulo: Friedrich-Ebert-Stiftung (FES)=
, 2020.</p>
<p class=3D"bibliografia" id=3D"redalyc_673472350001_ref18">PAULO, Rui M.; =
ALBUQUERQUE, Pedro B.; BULL, Ray. A Entrevista Cognitiva Melhorada: Pressup=
ostos te=F3ricos, investiga=E7=E3o e aplica=E7=E3o. Revista da Associa=E7=
=E3o Portuguesa de Psicologia, v. 28, n. 2, p. 21=9630, 2014. Dispon=EDvel =
em: Acesso em: 20 jul. 2021.</p>
<p class=3D"bibliografia" id=3D"redalyc_673472350001_ref19">PEREIRA, Adrian=
a Farias Braum. Reprodu=E7=E3o simulada dos fatos: car=EAncia de regulament=
a=E7=E3o pelo CPP sob o ponto de vista da per=EDcia criminal. Revista =C2mb=
ito Jur=EDdico, n=BA 160, mai. 2017. Dispon=EDvel em: Acesso em: 17 jun. 20=
21.</p>
<p class=3D"bibliografia" id=3D"redalyc_673472350001_ref20">PEREIRA, Jos=E9=
 Matias. <span class=3D"negrita">Manual de metodologia da pesquisa cient=ED=
fica</span>. 4 ed. S=E3o Paulo: Atlas, 2019.</p>
<p class=3D"bibliografia" id=3D"redalyc_673472350001_ref21">PORTINHO, Andre=
i Roehrs. Reprodu=E7=E3o simulada dos fatos: aspectos acerca do art. 7=BA d=
o C=F3digo de Processo Penal. Revista =C2mbito Jur=EDdico, n=BA 115, ago. 2=
013. Dispon=EDvel em: https://ambitojuridico.com.br/edicoes/revista-115/rep=
roducao-simulada-dos-fatos-aspectos-acerca-do-art-7-do-codigo-de-processo-p=
enal/&gt; Acesso em: 17 jun. 2021.</p>
<p class=3D"bibliografia" id=3D"redalyc_673472350001_ref22">QUEIROZ, Isaac =
G=F3es de; MONTENEGRO, Jos=E9 Carlos Pires. <span class=3D"negrita">Laudo n=
=BA 2015 016045 01</span>. Natureza do exame: Reprodu=E7=E3o Simulada. Loca=
l: Estrada das Barreiras, Vila Mois=E9s, Salvador, Bahia/BA. 2015.</p>
<p class=3D"bibliografia" id=3D"redalyc_673472350001_ref23">RAMOS, Danielle=
; FIGUEIREDO, Taynara. Pau D=92Arco: a maior reprodu=E7=E3o simulada da his=
t=F3ria da Criminal=EDstica brasileira. Per=EDcia Federal. Bras=EDlia, n. 4=
0, p. 23-31, dez. 2017. Dispon=EDvel em:  Acesso em: 15 mai. 2021</p>
<p class=3D"bibliografia" id=3D"redalyc_673472350001_ref24">REIS, Albani Bo=
rges dos. <span class=3D"negrita">Metodologia Cient=EDfica em Per=EDcia Cri=
minal. </span>3 ed. Campinas: Millennium, 2016.</p>
<p class=3D"bibliografia" id=3D"redalyc_673472350001_ref25">SILVA, Lu=EDs E=
ug=EAnio V. <span class=3D"negrita">Laudo n=BA 9100.17.02619</span>. Nature=
za do exame: Reprodu=E7=E3o Simulada. Local: Rua F=FAlvio Aducci, n=BA 690,=
 Estreito, Florian=F3polis, Santa Catarina/SC. 2017.</p>
<p class=3D"bibliografia" id=3D"redalyc_673472350001_ref26">VELHO, Jesus An=
t=F4nio; CARMO, Cristiano F. Assis do; COCENTINO, Lu=EDs G. Barros. <span c=
lass=3D"negrita">Laudo n=BA 1555/2014</span>. Natureza do exame: Reprodu=E7=
=E3o Simulada. Local: Zona rural de Boa Esperan=E7a do Sul/SP. 2014.</p>
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------MultipartBoundary--4SPmYK3rCJmGAVnQUzIRveWg9G1dRCdWnbFn6D0NXm----
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------MultipartBoundary--4SPmYK3rCJmGAVnQUzIRveWg9G1dRCdWnbFn6D0NXm----
Content-Type: image/png
Content-Transfer-Encoding: base64
Content-Location: http://marcalyc.redalyc.org/journal/6734/673472350001/673472350001_gf5.png

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YII=

------MultipartBoundary--4SPmYK3rCJmGAVnQUzIRveWg9G1dRCdWnbFn6D0NXm----
Content-Type: image/png
Content-Transfer-Encoding: base64
Content-Location: http://marcalyc.redalyc.org/journal/6734/673472350001/673472350001_gf4.png

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