WARNING — Dexters Law Animal Cruelty Conviction MAJOR STEP in Anti-Meat Agenda – Databases “Animal Abusers”

Supposedly (if you dare believe anything on Zionic Mass Media) — Florida man adopted dog, killed / decapitated it presumably for biting him, and was comvicted of animal cruelty, sentenced to 1 year + 60 days in jail. State Rep Linda Chaney: “We need to put more [personal] identifiers [into the animal cruelty database.]” 3:15 https://www.youtube.com/watch?v=IqJ9fehatv0

https://www.youtube.com/watch?v=IqJ9fehatv0

Table of Contents

Transcript

Click to reveal

Linda. and I’m Haley, Hinds, thanks for joining us. first here, at 5:00. The
0:02
Hinds, thanks for joining us. first here, at 5:00. The man at the center of a new
0:03
us. first here, at 5:00. The man at the center of a new animal cruelty law in
0:04
man at the center of a new animal cruelty law in Florida appeared again In
0:05
animal cruelty law in Florida appeared again In court this morning, a judge
0:07
Florida appeared again In court this morning, a judge said, Domingo Rodriguez can
0:09
court this morning, a judge said, Domingo Rodriguez can remain free on bond while
0:10
said, Domingo Rodriguez can remain free on bond while he appeals his conviction,
0:12
remain free on bond while he appeals his conviction, in an animal cruelty case
0:13
he appeals his conviction, in an animal cruelty case that gains Statewide
0:14
in an animal cruelty case that gains Statewide attention and led to
0:16
that gains Statewide attention and led to Dexter’s law, which just
0:17
attention and led to Dexter’s law, which just took effect. Fox 13’s
0:19
Dexter’s law, which just took effect. Fox 13’s Kayley Tracy, was in court
0:20
took effect. Fox 13’s Kayley Tracy, was in court for the hearing and is live
0:21
Kayley Tracy, was in court for the hearing and is live in The Newsroom, with the
0:22
for the hearing and is live in The Newsroom, with the latest Kaylee. Hey, the
0:24
in The Newsroom, with the latest Kaylee. Hey, the judge verified that
0:25
latest Kaylee. Hey, the judge verified that Rodriguez is complying with
0:26
judge verified that Rodriguez is complying with all of his release
0:28
Rodriguez is complying with all of his release conditions. This comes as
0:29
all of his release conditions. This comes as Animal Advocates have
0:31
conditions. This comes as Animal Advocates have reactions to Dexter’s law
0:33
Animal Advocates have reactions to Dexter’s law that again, just went
0:34
reactions to Dexter’s law that again, just went into effect.
0:36
into effect. Walked out of
0:41
into effect. Walked out of court Wednesday. Justice.
0:43
into effect. Walked out of court Wednesday. Justice. Animal Advocates, were
0:45
court Wednesday. Justice. Animal Advocates, were there to greet him? Just
0:47
Animal Advocates, were there to greet him? Just aggravating that. It’s not.
0:49
there to greet him? Just aggravating that. It’s not. He’s not back in jail.
0:50
aggravating that. It’s not. He’s not back in jail. Last February. a jury found
0:52
He’s not back in jail. Last February. a jury found Rodriguez guilty of killing
0:54
Last February. a jury found Rodriguez guilty of killing his dog Dexter that he
0:55
Rodriguez guilty of killing his dog Dexter that he just adopted from panelist,
0:57
his dog Dexter that he just adopted from panelist, County Animal Services.
0:59
just adopted from panelist, County Animal Services. Deputies found Dexter. in
1:01
County Animal Services. Deputies found Dexter. in Fort dodo to capitated and
1:03
Deputies found Dexter. in Fort dodo to capitated and wrapped in a plastic bag. a
1:05
Fort dodo to capitated and wrapped in a plastic bag. a judge sentenced him to
1:07
wrapped in a plastic bag. a judge sentenced him to 1 year and 60 days in
1:08
judge sentenced him to 1 year and 60 days in jail. the max Allowed by
1:10
1 year and 60 days in jail. the max Allowed by law. He appealed and asked
1:11
jail. the max Allowed by law. He appealed and asked to be released on bond
1:13
law. He appealed and asked to be released on bond pending that appeal, which
1:14
to be released on bond pending that appeal, which the judge granted. I wish.
1:17
pending that appeal, which the judge granted. I wish. He wouldn’t have been
1:18
the judge granted. I wish. He wouldn’t have been out. waiting for an appeal.
1:20
He wouldn’t have been out. waiting for an appeal. but that’s what it is.
1:22
out. waiting for an appeal. but that’s what it is. Wednesday Rodriguez sat in
1:23
but that’s what it is. Wednesday Rodriguez sat in the courtroom in front of
1:24
Wednesday Rodriguez sat in the courtroom in front of the animal Advocates, the
1:26
the courtroom in front of the animal Advocates, the judge Verifying He has
1:28
the animal Advocates, the judge Verifying He has complied with all of his
1:29
judge Verifying He has complied with all of his release conditions, like
1:30
complied with all of his release conditions, like wearing a GPS monitor.
1:32
release conditions, like wearing a GPS monitor. surrendering. His license and
1:34
wearing a GPS monitor. surrendering. His license and passport and having no
1:35
surrendering. His license and passport and having no contact with animals or
1:37
passport and having no contact with animals or Witnesses. his case led to
1:39
contact with animals or Witnesses. his case led to a new Florida law. Dexter’s
1:41
Witnesses. his case led to a new Florida law. Dexter’s law The just went into
1:42
a new Florida law. Dexter’s law The just went into effect January 1st. It
1:44
law The just went into effect January 1st. It creates stronger penalties
1:45
effect January 1st. It creates stronger penalties for certain animal cruelty
1:47
creates stronger penalties for certain animal cruelty crimes. and a Statewide
1:48
for certain animal cruelty crimes. and a Statewide offender database to help
1:50
crimes. and a Statewide offender database to help identify those with a
1:51
offender database to help identify those with a history of animal abuse.
1:53
identify those with a history of animal abuse. But representative Linda
1:54
history of animal abuse. But representative Linda Chaney, who sponsored
1:56
But representative Linda Chaney, who sponsored Dexter’s law echoed
1:57
Chaney, who sponsored Dexter’s law echoed Advocates concerns saying
1:59
Dexter’s law echoed Advocates concerns saying their kinks in the database.
2:00
Advocates concerns saying their kinks in the database. that still need to be
2:01
their kinks in the database. that still need to be ironed out. It does not
2:03
that still need to be ironed out. It does not do what we kind of
2:04
ironed out. It does not do what we kind of anticipated that it would
2:05
do what we kind of anticipated that it would do. So we need to put
2:07
anticipated that it would do. So we need to put more identifiers in their
2:09
do. So we need to put more identifiers in their So right now, you put John
2:11
more identifiers in their So right now, you put John Smith in the database and
2:13
So right now, you put John Smith in the database and your sweet, uh, elderly
2:15
Smith in the database and your sweet, uh, elderly neighbor. who’s never owned
2:16
your sweet, uh, elderly neighbor. who’s never owned an animal in his life. may
2:19
neighbor. who’s never owned an animal in his life. may be in there. and the John
2:20
an animal in his life. may be in there. and the John Smith who’s actually harmed
2:21
be in there. and the John Smith who’s actually harmed animals will be in there,
2:22
Smith who’s actually harmed animals will be in there, so which John Smith do we
2:24
animals will be in there, so which John Smith do we not want to? uh, have adopt
2:26
so which John Smith do we not want to? uh, have adopt an animal? What I learned
2:27
not want to? uh, have adopt an animal? What I learned from FDLE is it’s not as
2:29
an animal? What I learned from FDLE is it’s not as easy. as pulling over data
2:32
from FDLE is it’s not as easy. as pulling over data from 1 County into their
2:34
easy. as pulling over data from 1 County into their database. It’s a very
2:35
from 1 County into their database. It’s a very complex process. They say,
2:36
database. It’s a very complex process. They say, is going to take them
2:37
complex process. They say, is going to take them quite some time. and Cheney
2:40
is going to take them quite some time. and Cheney says, in the meantime
2:41
quite some time. and Cheney says, in the meantime shelters are going to have
2:42
says, in the meantime shelters are going to have to do a little bit of
2:43
shelters are going to have to do a little bit of their own research and rely
2:45
to do a little bit of their own research and rely on the people in those
2:46
their own research and rely on the people in those shelters to look up
2:47
on the people in those shelters to look up people adopting animals.
2:49
shelters to look up people adopting animals. And she says, they’re
2:50
people adopting animals. And she says, they’re trying to work on a
2:51
And she says, they’re trying to work on a short-term fix while those
2:52
trying to work on a short-term fix while those long-term issues are trying
2:53
short-term fix while those long-term issues are trying to be resolved. Rodriguez
2:55
long-term issues are trying to be resolved. Rodriguez is next court. Date is
2:56
to be resolved. Rodriguez is next court. Date is February 4th, Kaylee Tracy
2:58
is next court. Date is February 4th, Kaylee Tracy reporting tonight. Kaylee

Gematriana

GEMATRIA Values (4 Primary Ciphers) https://g3m4.com/?s=uyn2zp

#	Phrase	Ordinal	Reverse Ordinal	Reduction	Reverse Reduction
1	Abuse	48	87	12	33
2	Animal	50	112	23	40
3	Animal Cruelty	154	197	55	80
4	animal flesh	100	197	46	62
5	Animals	69	120	24	48
6	anti-meat agenda	115	263	52	83
7	County Animal Services	248	292	86	121
8	Court	77	58	23	31
9	Cruelty	104	85	32	40
10	depopulation	148	176	58	59
11	Dexter	76	86	31	32
12	Dexters Law	131	139	41	58
13	Domingo Rodriguez	200	232	101	79
14	ethical treatment	174	258	66	96
15	FDLE	27	81	18	18
16	Florida	65	124	38	43
17	food	40	68	22	14
18	Fox 13	45	36	18	9
19	Haley	51	84	24	21
20	Hinds	54	81	27	27
21	History	114	75	42	39
22	John Smith	116	127	44	46
23	Judge	47	88	20	25
24	Jury	74	34	20	25
25	Justice	87	102	24	48
26	Kaylee Tracy	126	171	45	63
27	Law	36	45	9	18
28	Linda	40	95	22	32
29	Linda Chaney	96	201	51	57
30	meat	39	69	12	24
31	Offender	73	143	46	35
32	peta	42	66	15	21

Cross-Cipher Matches (A first)

#	A	aCipher	Value	B	bCipher
1	Abuse	Reduction	12	meat	Reduction
2	Animal	Reverse Reduction	40	Cruelty	Reverse Reduction
3	Animal	Reverse Reduction	40	food	Ordinal
4	Animal Cruelty	Reverse Ordinal	197	animal flesh	Reverse Ordinal
5	Animals	Reverse Reduction	48	Abuse	Ordinal
6	Animals	Ordinal	69	meat	Reverse Ordinal
7	Animals	Reduction	24	meat	Reverse Reduction
8	Court	Reduction	23	Animal	Reduction
9	Court	Reverse Ordinal	58	depopulation	Reduction
10	Cruelty	Reverse Reduction	40	food	Ordinal
11	Dexter	Reverse Ordinal	86	County Animal Services	Reduction
12	Dexter	Reduction	31	Court	Reverse Reduction
13	Dexter	Reverse Reduction	32	Cruelty	Reduction
14	Dexters Law	Reverse Reduction	58	Court	Reverse Ordinal
15	Dexters Law	Reverse Reduction	58	depopulation	Reduction
16	FDLE	Reduction	18	Law	Reverse Reduction
17	FDLE	Reverse Reduction	18	Law	Reverse Reduction
18	Fox 13	Reduction	18	FDLE	Reduction
19	Fox 13	Reduction	18	FDLE	Reverse Reduction
20	Fox 13	Ordinal	45	Law	Reverse Ordinal
21	Fox 13	Reverse Ordinal	36	Law	Ordinal
22	Fox 13	Reduction	18	Law	Reverse Reduction
23	Fox 13	Reverse Reduction	9	Law	Reduction
24	Haley	Ordinal	51	Linda Chaney	Reduction
25	Haley	Reduction	24	Justice	Reduction
26	Haley	Reduction	24	Animals	Reduction
27	Haley	Reverse Reduction	21	peta	Reverse Reduction
28	Haley	Reduction	24	meat	Reverse Reduction
29	Hinds	Reverse Ordinal	81	FDLE	Reverse Ordinal
30	Hinds	Reduction	27	FDLE	Ordinal
31	Hinds	Reverse Reduction	27	FDLE	Ordinal
32	History	Reduction	42	peta	Ordinal
33	History	Reverse Reduction	39	meat	Ordinal
34	John Smith	Reverse Reduction	46	Offender	Reduction
35	John Smith	Reverse Reduction	46	animal flesh	Reduction
36	Judge	Reduction	20	Jury	Reduction
37	Judge	Reverse Reduction	25	Jury	Reverse Reduction
38	Justice	Reduction	24	Animals	Reduction
39	Justice	Reverse Reduction	48	Animals	Reverse Reduction
40	Justice	Ordinal	87	Abuse	Reverse Ordinal
41	Justice	Reverse Reduction	48	Abuse	Ordinal
42	Justice	Reduction	24	meat	Reverse Reduction
43	Kaylee Tracy	Reduction	45	Fox 13	Ordinal
44	Kaylee Tracy	Reduction	45	Law	Reverse Ordinal
45	Linda	Reverse Reduction	32	Dexter	Reverse Reduction
46	Linda	Ordinal	40	Animal	Reverse Reduction
47	Linda	Ordinal	40	Cruelty	Reverse Reduction
48	Linda	Reverse Reduction	32	Cruelty	Reduction
49	Linda	Ordinal	40	food	Ordinal
50	Linda	Reduction	22	food	Reduction
51	Linda Chaney	Ordinal	96	ethical treatment	Reverse Reduction
52	Offender	Reduction	46	animal flesh	Reduction
53	peta	Reverse Ordinal	66	ethical treatment	Reduction

Cross-Cipher Matches (B first)

#	B	bCipher	Value	A	aCipher
1	Abuse	Reverse Ordinal	87	Justice	Ordinal
2	Abuse	Ordinal	48	Justice	Reverse Reduction
3	Abuse	Ordinal	48	Animals	Reverse Reduction
4	Animal	Reverse Reduction	40	Linda	Ordinal
5	Animal	Reduction	23	Court	Reduction
6	animal flesh	Reduction	46	John Smith	Reverse Reduction
7	animal flesh	Reverse Ordinal	197	Animal Cruelty	Reverse Ordinal
8	animal flesh	Reduction	46	Offender	Reduction
9	Animals	Reduction	24	Haley	Reduction
10	Animals	Reduction	24	Justice	Reduction
11	Animals	Reverse Reduction	48	Justice	Reverse Reduction
12	County Animal Services	Reduction	86	Dexter	Reverse Ordinal
13	Court	Reverse Reduction	31	Dexter	Reduction
14	Court	Reverse Ordinal	58	Dexters Law	Reverse Reduction
15	Cruelty	Reverse Reduction	40	Linda	Ordinal
16	Cruelty	Reduction	32	Linda	Reverse Reduction
17	Cruelty	Reduction	32	Dexter	Reverse Reduction
18	Cruelty	Reverse Reduction	40	Animal	Reverse Reduction
19	depopulation	Reduction	58	Dexters Law	Reverse Reduction
20	depopulation	Reduction	58	Court	Reverse Ordinal
21	Dexter	Reverse Reduction	32	Linda	Reverse Reduction
22	ethical treatment	Reverse Reduction	96	Linda Chaney	Ordinal
23	ethical treatment	Reduction	66	peta	Reverse Ordinal
24	FDLE	Reverse Ordinal	81	Hinds	Reverse Ordinal
25	FDLE	Ordinal	27	Hinds	Reduction
26	FDLE	Ordinal	27	Hinds	Reverse Reduction
27	FDLE	Reduction	18	Fox 13	Reduction
28	FDLE	Reverse Reduction	18	Fox 13	Reduction
29	food	Ordinal	40	Linda	Ordinal
30	food	Reduction	22	Linda	Reduction
31	food	Ordinal	40	Animal	Reverse Reduction
32	food	Ordinal	40	Cruelty	Reverse Reduction
33	Fox 13	Ordinal	45	Kaylee Tracy	Reduction
34	Jury	Reduction	20	Judge	Reduction
35	Jury	Reverse Reduction	25	Judge	Reverse Reduction
36	Justice	Reduction	24	Haley	Reduction
37	Law	Reverse Ordinal	45	Kaylee Tracy	Reduction
38	Law	Reverse Ordinal	45	Fox 13	Ordinal
39	Law	Ordinal	36	Fox 13	Reverse Ordinal
40	Law	Reverse Reduction	18	Fox 13	Reduction
41	Law	Reduction	9	Fox 13	Reverse Reduction
42	Law	Reverse Reduction	18	FDLE	Reduction
43	Law	Reverse Reduction	18	FDLE	Reverse Reduction
44	Linda Chaney	Reduction	51	Haley	Ordinal
45	meat	Reverse Reduction	24	Haley	Reduction
46	meat	Reverse Reduction	24	Justice	Reduction
47	meat	Reverse Ordinal	69	Animals	Ordinal
48	meat	Reverse Reduction	24	Animals	Reduction
49	meat	Reduction	12	Abuse	Reduction
50	meat	Ordinal	39	History	Reverse Reduction
51	Offender	Reduction	46	John Smith	Reverse Reduction
52	peta	Reverse Reduction	21	Haley	Reverse Reduction
53	peta	Ordinal	42	History	Reduction

Primes, Fibo, Phi

#	Phrase	Cipher	Value	Prime #	Fib #	Phi-ish?
1	Animal	Reduction	23	9
2	Animal Cruelty	Reverse Ordinal	197	45
3	Animal Cruelty	Reduction	55		10
4	animal flesh	Reverse Ordinal	197	45
5	anti-meat agenda	Reverse Ordinal	263	56
6	anti-meat agenda	Reverse Reduction	83	23
7	Court	Reduction	23	9
8	Court	Reverse Reduction	31	11
9	depopulation	Reverse Reduction	59	17
10	Dexter	Reduction	31	11
11	Dexters Law	Ordinal	131	32
12	Dexters Law	Reverse Ordinal	139	34
13	Dexters Law	Reduction	41	13
14	Domingo Rodriguez	Reduction	101	26
15	Domingo Rodriguez	Reverse Reduction	79	22
16	Florida	Reverse Reduction	43	14
17	Haley	Ordinal	51			≈φ
18	Haley	Reverse Reduction	21		8
19	John Smith	Reverse Ordinal	127	31
20	Judge	Ordinal	47	15
21	Jury	Reverse Ordinal	34		9
22	Offender	Ordinal	73	21
23	peta	Ordinal	42			≈φ
24	peta	Reverse Reduction	21		8

Esoterica

#	Phrase	Cipher	Value	Ask
1	Abuse	Reverse Reduction (masonic)	33	Ask ChatGPT
2	Animals	Reverse Ordinal (triangular-15)	120	Ask ChatGPT
3	Fox 13	Reverse Ordinal (square-6)	36	Ask ChatGPT
4	Hinds	Ordinal (3x3x3x2)	54	Ask ChatGPT
5	History	Reduction (esoteric-42)	42	Ask ChatGPT
6	Law	Ordinal (square-6)	36	Ask ChatGPT
7	peta	Ordinal (esoteric-42)	42	Ask ChatGPT

Notes on Esoterica Ciphers

Digital roots / casting out nines: reduced digit-sum per cipher; highlights multiples of 3 or 9.
Triangular / polygonal numbers: detects triangular, square, pentagonal, and hexagonal membership with sequence indices.
Perfect / abundant / deficient: classifies by sum of proper divisors; shows σ (divisor sum) and τ (divisor count).
Prime factorization & divisor stats: factors with Ω/ω (total vs distinct primes), τ(n), and σ(n).
Modular residues: reports n mod 7/9/11/26 to surface cycles and ROT-like overlaps.
Palindromic / repdigit motifs: checks decimal, binary, and hex palindromes/repdigits; flags powers of two.
Highly composite: flags numbers that set divisor-count records (τ high for size).
Lucas and Fibonacci-adjacent: surfaces Lucas sequence membership (index).
Catalan / Bell / partitions: marks membership in common combinatorial sequences.
Prime constellations & gaps: shows twin-prime proximity and nearest prime gaps for non-primes.