diff --git a/2grams.txt b/2grams.txt
new file mode 100644
index 000000000..ec3ed8065
--- /dev/null
+++ b/2grams.txt
@@ -0,0 +1,50000 @@
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+47	marvin	minsky
+47	mary	b
+47	mary	philpot
+47	mary	prince
+47	mary-kate	olsen
+47	maryland	congressman
+47	maryland	officials
+47	maryland	where
+47	mask	he
+47	masking	his
+47	masking	of
+47	mass	could
+47	mass	deception
+47	mass	support
+47	mass	times
+47	massachusetts	avenues
+47	massacre	to
+47	massed	on
+47	massive	construction
+47	massive	trade
+47	massive	weight
+47	master	tapes
+47	master	them
+47	masters	golf
+47	masters	such
+47	matalin	and
+47	match	reality
+47	matches	one
+47	matchmaking	service
+47	mate	as
+47	mater	sci
+47	material	basis
+47	materials	recovery
+47	maternal	uncle
+47	math	work
+47	mathematical	precision
+47	mathematical	principles
+47	mathematical	understanding
+47	matt	johnson
+47	matt	lewis
+47	matter	also
+47	mattered	because
+47	matters	we
+47	matthew	says
+47	matured	a
+47	max	at
+47	max	schmeling
+47	max	schumacher
+47	max	thieriot
+47	max	told
+47	maxillary	sinuses
+47	may	attain
+47	may	balk
+47	may	compare
+47	may	design
+47	may	exclude
+47	may	here
+47	may	likewise
+47	may	pop
+47	may	prolong
+47	may	rank
+47	may	sense
+47	may	until
+47	maybe	eventually
+47	maybe	michael
+47	maybe	need
+47	maybe	whoever
+47	maynard	good
+47	mcauliffe	said
+47	mcfadden	is
+47	mcgwire	was
+47	mckay	was
+47	md	in
+47	me	eye
+47	me	heal
+47	me	hello
+47	me	hitting
+47	me	llamo
+47	me	load
+47	me	master
+47	me	nobody
+47	me	smoke
+47	me	steal
+47	me	super
+47	me	wake
+47	meager	and
+47	meal	had
+47	mean	velocity
+47	meaning	between
+47	meaning	would
+47	meaningful	interaction
+47	means	obama
+47	meant	our
+47	measure	ingredients
+47	measurement	as
+47	measurement	by
+47	measurement	device
+47	meat	again
+47	meaty	and
+47	meaty	hand
+47	mechanical	strength
+47	mechanics	have
+47	mechanism	does
+47	medal	round
+47	medals	that
+47	media	activities
+47	medial	to
+47	medians	and
+47	medical	certainty
+47	medical	company
+47	medical	consultant
+47	medical	developments
+47	medical	institution
+47	medical	transport
+47	medicare	rates
+47	medications	from
+47	medicine	a
+47	medicine	bundle
+47	medieval	texts
+47	mediocre	to
+47	medium	level
+47	mediums	to
+47	meet	customer
+47	meet	david
+47	meet	mrs
+47	meet	now
+47	meet	thursday
+47	meet	wednesday
+47	meg	cabot
+47	meg	to
+47	megan	matteucci
+47	melt	from
+47	melted	a
+47	melted	back
+47	member	mike
+47	member	the
+47	members	having
+47	members	look
+47	members	throughout
+47	memoir	on
+47	memorable	images
+47	memorable	occasion
+47	memorandum	by
+47	memories	but
+47	memory	requirements
+47	memos	are
+47	men	agree
+47	men	grabbed
+47	men	kissing
+47	men	last
+47	men	throughout
+47	mend	and
+47	mental	checklist
+47	mental	exercises
+47	mental	phenomena
+47	mentioned	already
+47	mentioned	because
+47	mentions	and
+47	mentions	are
+47	mentoring	from
+47	mentors	can
+47	mercedes	convertible
+47	merchant	from
+47	merchant	princes
+47	mercurial	and
+47	mere	child
+47	mere	seven
+47	merely	make
+47	merlin	is
+47	merton	and
+47	mesa	on
+47	mescalero	apache
+47	message	during
+47	messages	had
+47	messages	per
+47	messenger	with
+47	messy	for
+47	met	tonight
+47	metabolic	pathway
+47	metal	components
+47	metal	containers
+47	metal	gates
+47	metal	poles
+47	metal	products
+47	metal	roofing
+47	metal	roofs
+47	metal	worker
+47	metaphysical	or
+47	meteorites	and
+47	meteors	in
+47	method	where
+47	meticulously	crafted
+47	mexicans	or
+47	meyer	in
+47	mice	do
+47	mice	per
+47	michael	carter
+47	michael	dean
+47	michael	michael
+47	michael	ondaatje
+47	michael	price
+47	michael	scanlon
+47	michael	tigar
+47	michigan	because
+47	michigan	house
+47	mickelson	is
+47	mickey	had
+47	microbe	that
+47	microscopic	and
+47	microsoft	employees
+47	microsoft	makes
+47	microsoft	might
+47	microwave	the
+47	mid	morning
+47	mid-1980s	the
+47	middle	at
+47	middle	decades
+47	middle	portion
+47	middle	power
+47	middle	three
+47	middle-class	incomes
+47	midsize	firms
+47	midwest	or
+47	might	dismiss
+47	might	hinder
+47	might	sneak
+47	might	so
+47	mightily	from
+47	mighty	hand
+47	mighty	joe
+47	migration	stress
+47	miguel	indurain
+47	mike	chambers
+47	mike	moustakas
+47	miki	duisterhof
+47	mil	a
+47	mile	outside
+47	miles	he
+47	militancy	of
+47	militants	of
+47	military	before
+47	military	companies
+47	military	contract
+47	military	term
+47	military	thought
+47	militia	are
+47	milk	money
+47	millennium	will
+47	miller	jersey
+47	million	acre
+47	million	below
+47	million	ethnic
+47	million	extra
+47	million	folks
+47	million	free
+47	million	percent
+47	million	phone
+47	million	such
+47	million	television
+47	millionaire	is
+47	mind	rather
+47	mind	takes
+47	mind	trick
+47	mindy	said
+47	mine	anymore
+47	mine	last
+47	mine	still
+47	mine	there
+47	miners	that
+47	mingling	in
+47	mini	chocolate
+47	mini	for
+47	minimize	costs
+47	minimum	daily
+47	minimum	weight
+47	minimum-wage	job
+47	mining	industries
+47	minister	a
+47	minister	mariano
+47	minke	whale
+47	minnesota	north
+47	minnesota	republican
+47	minnesota	sports
+47	minor	cuts
+47	minor	improvements
+47	minor-league	system
+47	minority	parties
+47	minority	would
+47	minors	for
+47	minuscule	amount
+47	minute	out
+47	miracle	happens
+47	miracles	as
+47	mirage	in
+47	miranda	has
+47	misconduct	cases
+47	misery	with
+47	misinformation	out
+47	mislead	or
+47	misplaced	or
+47	miss	clavel
+47	miss	eyre
+47	miss	jessel
+47	miss	just
+47	missed	again
+47	missed	due
+47	missed	just
+47	missing	date
+47	missing	today
+47	mission	right
+47	missouri	press
+47	mistaken	on
+47	mistakes	before
+47	mistakes	here
+47	mistakes	she
+47	misuse	in
+47	mitigation	in
+47	mitsubishi	galant
+47	mixing	your
+47	mls	experience
+47	mobile	commerce
+47	mobile	content
+47	mobile	hotspot
+47	mobile	safari
+47	mobile	software
+47	mobile	versions
+47	mocking	a
+47	model	contains
+47	model	describes
+47	model	says
+47	models	before
+47	modem	times
+47	modems	are
+47	moderate	correlation
+47	moderator	will
+47	modern	convenience
+47	modern	indian
+47	modern	notion
+47	modern	studies
+47	modern	thinking
+47	modest	beginnings
+47	modest	budget
+47	modest	economic
+47	modified	adjusted
+47	modified	on
+47	modified	seeds
+47	molecule	has
+47	molly	shannon
+47	mom	by
+47	mom	come
+47	mom	ran
+47	mom-and-pop	stores
+47	moment	again
+47	moments	while
+47	mommy	for
+47	mon	cher
+47	monarchs	in
+47	monet	was
+47	monetary	benefits
+47	money	about
+47	money	bought
+47	money	loser
+47	money	mustache
+47	money	shall
+47	monitoring	activities
+47	monitoring	services
+47	monoamine	oxidase
+47	monologues	and
+47	monopoly	was
+47	monroe	has
+47	monsters	is
+47	montgomery	scott
+47	monthly	rates
+47	monthly	series
+47	months	against
+47	months	premature
+47	mood	induction
+47	moon	did
+47	moonless	sky
+47	moons	to
+47	moonshine	and
+47	moping	about
+47	moral	fabric
+47	moral	for
+47	moral	responsibilities
+47	morally	culpable
+47	more	abusive
+47	more	appointments
+47	more	baffling
+47	more	ballots
+47	more	bank
+47	more	bass
+47	more	beyond
+47	more	bit
+47	more	busy
+47	more	candles
+47	more	closer
+47	more	composed
+47	more	connection
+47	more	dancing
+47	more	delay
+47	more	divine
+47	more	electoral
+47	more	elegantly
+47	more	fundamentalist
+47	more	germane
+47	more	heartbreaking
+47	more	israeli
+47	more	kick
+47	more	lean
+47	more	lengthy
+47	more	lurid
+47	more	maybe
+47	more	nuts
+47	more	performances
+47	more	plates
+47	more	properties
+47	more	recruits
+47	more	relevance
+47	more	response
+47	more	sanitary
+47	more	scope
+47	more	skewed
+47	more	speculation
+47	more	starting
+47	more	taxpayers
+47	more	towns
+47	more	treatments
+47	more	troubles
+47	more	two
+47	more	wildlife
+47	more	worries
+47	morgue	for
+47	morphine	is
+47	morris	for
+47	morton	ranch
+47	moslems	and
+47	mosquito	populations
+47	moss	hart
+47	mossack	fonseca
+47	most	campuses
+47	most	chaotic
+47	most	cogent
+47	most	compatible
+47	most	conflicted
+47	most	crops
+47	most	dealers
+47	most	episodes
+47	most	fearless
+47	most	horrid
+47	most	infuriating
+47	most	laptops
+47	most	livable
+47	most	novel
+47	most	officials
+47	most	pc
+47	most	phenomenal
+47	most	policies
+47	most	resources
+47	most	roads
+47	most	scary
+47	most	seniors
+47	most	surveys
+47	most	transformative
+47	most	units
+47	most	worrying
+47	mostly	african
+47	mostly	live
+47	mostly	wrong
+47	motel	at
+47	mother	already
+47	mother	cat
+47	mother	complained
+47	mother	finds
+47	mothers	themselves
+47	motion	across
+47	motion	against
+47	motion	asking
+47	motions	as
+47	motivating	for
+47	motive	as
+47	motive	could
+47	motor	lodge
+47	motorcycle	helmets
+47	motorcycle	racing
+47	motorola	xoom
+47	motors	building
+47	mott	haven
+47	mounds	view
+47	mount	pisgah
+47	mountain	called
+47	mountain	country
+47	mountain	itself
+47	mountain	like
+47	mountains	during
+47	mountainside	in
+47	mouse	cells
+47	mouth	piece
+47	mouths	on
+47	movable	feast
+47	move	slightly
+47	move	slow
+47	moved	left
+47	moved	people
+47	movement	emerged
+47	movement	if
+47	movement	she
+47	movie	directed
+47	movie	features
+47	movie	instead
+47	movie	musicals
+47	moving	beneath
+47	moving	only
+47	mow	my
+47	mowed	lawns
+47	mowing	his
+47	mr	aron
+47	mr	bezos
+47	mr	bolick
+47	mr	booth
+47	mr	brewer
+47	mr	brodeur
+47	mr	chavis
+47	mr	church
+47	mr	da
+47	mr	daniel
+47	mr	devlin
+47	mr	dharmeratnam
+47	mr	diaz
+47	mr	dohnanyi
+47	mr	fell
+47	mr	gaidar
+47	mr	gargano
+47	mr	hackman
+47	mr	handley
+47	mr	hess
+47	mr	ince
+47	mr	kimbrell
+47	mr	lazio
+47	mr	leahy
+47	mr	lockhart
+47	mr	louis
+47	mr	mcbride
+47	mr	menendez
+47	mr	michaelson
+47	mr	minor
+47	mr	nielsen
+47	mr	norris
+47	mr	o'keefe
+47	mr	parks
+47	mr	pearsall
+47	mr	rajoy
+47	mr	ranjbar
+47	mr	rifkin
+47	mr	saleh
+47	mr	salisbury
+47	mr	schorr
+47	mr	stanton
+47	mr	stephen
+47	mr	sweeney
+47	mr	truman
+47	mri	or
+47	mrna	in
+47	mrs	fields
+47	mrs	higgins
+47	mrs	marcos
+47	mrs	palin
+47	mrs	tate
+47	mrs	williamson
+47	ms	bombeck
+47	ms	clarke
+47	ms	fonda
+47	ms	had
+47	ms	herman
+47	ms	palmer
+47	ms	shabazz
+47	ms	stiles
+47	msn	and
+47	msu	and
+47	much	agreement
+47	much	ammunition
+47	much	ass
+47	much	drier
+47	much	furniture
+47	much	legal
+47	much	me
+47	much	must
+47	much	riskier
+47	much	rougher
+47	much	sand
+47	much	soul
+47	much	stuck
+47	much	students
+47	much	understanding
+47	mucking	out
+47	mugs	in
+47	multicultural	consultation
+47	multicultural	curriculum
+47	multidimensional	approach
+47	multidimensionality	of
+47	multidisciplinary	research
+47	multiple	answers
+47	multiple	choices
+47	multiple	companies
+47	multiple	indicators
+47	multiple	possibilities
+47	multiple	seasons
+47	murder	investigations
+47	murder	just
+47	murder	than
+47	murdered	one
+47	murmurs	in
+47	murphy	as
+47	musab	al
+47	muscles	may
+47	muscular	fitness
+47	mused	aloud
+47	museum	drive
+47	museum	world
+47	music	movement
+47	music	practice
+47	music	such
+47	music	track
+47	musical	selection
+47	musical	structure
+47	musicians	such
+47	muslim	extremist
+47	muslim	government
+47	must	devise
+47	must	generally
+47	must	integrate
+47	must-see	game
+47	mutated	and
+47	mutations	can
+47	muttered	that
+47	mutual	concern
+47	my	awkward
+47	my	birthplace
+47	my	bs
+47	my	c
+47	my	cardio
+47	my	casual
+47	my	clear
+47	my	conditions
+47	my	curves
+47	my	dd
+47	my	designer
+47	my	different
+47	my	domains
+47	my	earpiece
+47	my	earthly
+47	my	exploration
+47	my	failing
+47	my	glorious
+47	my	gross
+47	my	hardware
+47	my	heir
+47	my	highly
+47	my	homey
diff --git a/daemon.py b/daemon.py
index f7e81bd81..048d4bc65 100644
--- a/daemon.py
+++ b/daemon.py
@@ -96,6 +96,7 @@ from httpheaders import set_headers
 from daemon_utils import has_accept
 from daemon_utils import is_authorized
 from poison import load_dictionary
+from poison import load_2grams
 
 
 class PubServer(BaseHTTPRequestHandler):
@@ -879,6 +880,7 @@ def run_daemon(accounts_data_dir: str,
 
     # load dictionary used for LLM poisoning
     httpd.dictionary = load_dictionary(base_dir)
+    httpd.twograms = load_2grams(base_dir)
 
     # timeout used when checking for actor changes when clicking an avatar
     # and entering person options screen
diff --git a/daemon_get.py b/daemon_get.py
index 5434a8f1f..27c7c1187 100644
--- a/daemon_get.py
+++ b/daemon_get.py
@@ -274,7 +274,8 @@ def daemon_http_get(self) -> None:
     # which has a long term partnership with OpenAI
     if 'oai-host-hash' in self.headers:
         print('GET HTTP LLM scraper poisoned: ' + str(self.headers))
-        msg = html_poisoned(self.server.dictionary)
+        msg = html_poisoned(self.server.dictionary,
+                            self.server.twograms)
         msg = msg.encode('utf-8')
         msglen = len(msg)
         set_headers(self, 'text/html', msglen,
@@ -347,7 +348,8 @@ def daemon_http_get(self) -> None:
             if llm:
                 # if this is an LLM crawler then feed it some trash
                 print('GET HTTP LLM scraper poisoned: ' + str(self.headers))
-                msg = html_poisoned(self.server.dictionary)
+                msg = html_poisoned(self.server.dictionary,
+                                    self.server.twograms)
                 msg = msg.encode('utf-8')
                 msglen = len(msg)
                 set_headers(self, 'text/html', msglen,
diff --git a/epicyon.py b/epicyon.py
index ad0aadb29..932a6c2ac 100644
--- a/epicyon.py
+++ b/epicyon.py
@@ -125,6 +125,7 @@ from relationships import get_moved_accounts
 from blocking import get_blocks_via_server
 from poison import html_poisoned
 from poison import load_dictionary
+from poison import load_2grams
 
 
 def str2bool(value_str) -> bool:
@@ -851,7 +852,8 @@ def _command_options() -> None:
         # LLM poisoning example
         base_dir = os.getcwd()
         dictionary = load_dictionary(base_dir)
-        poisoned_str = html_poisoned(dictionary)
+        twograms = load_2grams(base_dir)
+        poisoned_str = html_poisoned(dictionary, twograms)
         print(poisoned_str)
         sys.exit()
 
diff --git a/poison.py b/poison.py
index 3fe4e857c..d7e045a3d 100644
--- a/poison.py
+++ b/poison.py
@@ -996,7 +996,38 @@ def load_dictionary(base_dir: str) -> []:
     return words
 
 
-def html_poisoned(dictionary: []) -> str:
+def load_2grams(base_dir: str) -> {}:
+    """Loads 2-grams from file
+    """
+    filename = base_dir + '/custom_2grams.txt'
+    if not os.path.isfile(filename):
+        filename = base_dir + '/2grams.txt'
+    if not os.path.isfile(filename):
+        return {}
+
+    twograms = {}
+    lines = []
+    try:
+        with open(filename, 'r', encoding='utf-8') as fp_dict:
+            lines = fp_dict.read().split('\n')
+    except OSError:
+        print('EX: unable to load 2-grams ' + filename)
+    for line_str in lines:
+        words = line_str.split('\t')
+        if len(words) != 3:
+            continue
+        first_word = words[1]
+        second_word = words[2]
+        if twograms.get(first_word):
+            if second_word in twograms[first_word]:
+                continue
+            twograms[first_word].append(second_word)
+        else:
+            twograms[first_word] = [second_word]
+    return twograms
+
+
+def html_poisoned(dictionary: [], twograms: {}) -> str:
     """Returns a poisoned HTML document for LLM response
     Statistically similar to English language, but semantically worthless
     word salad
@@ -1018,26 +1049,39 @@ def html_poisoned(dictionary: []) -> str:
             sentence_str = ''
 
             no_of_words = randint(3, 20)
+            prev_wrd = ''
             for word_index in range(no_of_words):
-                if randint(1, 10) <= 7:
-                    # pick a common word
-                    distribution = random.uniform(0.0, 1.0)
-                    common_index = \
-                        int(distribution * distribution * no_of_common_words)
-                    if word_index > 0:
-                        sentence_str += common_words[common_index]
-                    else:
-                        sentence_str += common_words[common_index].title()
-                else:
-                    if word_index > 0:
-                        sentence_str += random.choice(dictionary)
-                    else:
-                        sentence_str += random.choice(dictionary).title()
+                wrd = ''
+                pair_found = False
+                if prev_wrd:
+                    # common word sequences
+                    if twograms.get(prev_wrd):
+                        if randint(1, 10) <= 7:
+                            wrd = random.choice(twograms[prev_wrd])
+                            pair_found = True
 
-                if randint(1, 10) > 1 or word_index >= no_of_words - 1:
+                if not pair_found:
+                    if randint(1, 10) <= 7:
+                        # pick a common word
+                        distribution = random.uniform(0.0, 1.0)
+                        common_index = \
+                            int(distribution * distribution *
+                                no_of_common_words)
+                        wrd = common_words[common_index]
+                    else:
+                        wrd = random.choice(dictionary)
+
+                if word_index > 0:
+                    sentence_str += wrd
+                else:
+                    sentence_str += wrd.title()
+
+                if randint(1, 10) > 1 or \
+                   word_index >= no_of_words - 1 or pair_found:
                     sentence_str += ' '
                 else:
                     sentence_str += ', '
+                prev_wrd = wrd
             if sentence_index > 0:
                 html_str += ' ' + sentence_str.strip() + '.'
             else: