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(Click for frequent words.) 66 guesstimate 65 guesses 62 guestimates 61 estimates 60 estimations 59 predictions 56 guesstimating 56 guestimate 55 estimate 54 extrapolations 54 projections 53 prognostications 53 prediction 52 educated guesses 51 extrapolation 50 estimating 50 guesstimated 49 predications 49 calculations 49 forecasts 48 guess timate 47 Estimates 47 extrapolate 46 approximations 46 Predictions 45 envelope calculation 45 forcasts 45 estimation 45 extrapolating 45 survivability Ben Iesau 45 pure guesswork 44 esti mates 44 apocalyptic predictions 44 Estimates vary 44 gross underestimation 44 prognostication 43 predicting 43 Asymco 43 skyjacker Reaganomics 43 conjectures 43 forcast 43 projection 42 Guesses 42 guesstimation 42 forecasting 42 wildly inaccurate 42 Estimations 42 fuzzy math 42 extrapolated 42 supposition 41 suppositions 41 econometric models 41 Electoral Calculus 41 econometric model 41 forecast 41 educated guesswork 41 predicted 41 statistical extrapolation 40 conjecture 40 overestimates 40 number crunchers 40 vs. LTM 40 SmartEstimates 40 underestimations 40 prognosticator 40 predict 40 Piper Jaffray Gene Munster 40 prognosticating 40 Chetan Sharma Consulting 39 guestimated 39 datapoints 39 assumptions 39 #.# bpa 39 hindcasting 39 calculate 39 pure conjecture 39 analyts 39 assumption 39 reckonings 39 calculated 39 linear extrapolation 39 hunch 39 AndroLib 39 theories 39 WhisperNumber.com 39 #.# bil bu 39 figure 38 eMarketer.com 38 Spira cites 38 estimated 38 wishful thinking 38 entirely Maeir 38 calculation 38 grossly exaggerated 38 anecdotal 38 minuscule fraction 38 actual 38 vastly overstates 38 prognosticators 38 dire predictions 38 overestimations 38 proprietary econometric 38 guesswork 38 Forrester analyst Sucharita 38 predicitions 38 Arpitha Bykere senior 38 factoids 38 VGChartz 37 muni defaults 37 directionally correct 37 wildly inflated 37 David Dropsey 37 Overly optimistic 37 generalizations 37 Lydia Leong 37 pegged 37 lowballs 37 Ankershoffen declined 37 astrological predictions 37 gloomy predictions 37 overly optimistic 37 approximation 37 pegs 37 PECOTA 37 projected 37 Andrew Bartels 37 peak oilers 37 Extrapolated 37 underestimates 37 hazarding guess 37 prognosticate 37 notoriously unreliable 37 econometric 37 rough approximations 37 grossly overstate 37 predicts 37 Lorraine Sileo 37 Brad Setser 37 inexact 37 mil bu 37 methodological flaws 37 fivethirtyeight.com 37 uncited 37 doomsday prophets 37 figures 37 Klady 37 assertions 37 BookScan 36 rough approximation 36 PE ratios 36 prognoses 36 SME Direkt poll 36 anecdotal observations 36 doomsday predictions 36 estimates tracker IBES 36 overcounted 36 extrapolates 36 huge moneymaker Florio 36 shadowstats.com 36 ZiPS 36 ballparked 36 historical precedents 36 rosiest predictions 36 Shadowstats.com 36 Thomson Reuters StarMine SmartEstimates 36 futurologists 36 calculates 36 unscientifically 36 FiveThirtyEight 36 Starmine 36 vastly understates 36 contrarian viewpoint 36 official Purushottam Khatri 36 comically overstate 36 uncontrollable gusher 36 grossly miscalculated 36 pro formas 36 projecting 36 broad generalizations 36 BoxOfficeMojo.com 36 unsubstantiated 36 vary wildly 36 consensus estimate 35 sextillion stars 35 forecasted 35 MacDailyNews Note 35 SHADY SHORES Texas 35 Keynesian multiplier 35 FactSet JCF 35 edmunds.com 35 conclusions 35 Extrapolating 35 econometric analysis 35 SME Direkt survey 35 Estimate 35 FiveThirtyEight.com 35 valuations 35 interesting factoids 35 undercounts 35 prognosticated 35 crunching 35 wildly exaggerated 35 smoothed sunspot number 35 Extrapolate 35 StarMine Professional 35 #.#-#.# mln [004] 35 #E EBITDA 35 VG Chartz 35 gloomy prognostications 35 chicken entrails 35 Multex Global 35 statistical outliers 35 woefully inaccurate 35 unscientific 35 Wilkofsky Gruen Associates 35 complicated mathematical formulas 35 Lars Godell 35 Sergio DellaPergola 35 understates 35 annualise 35 Thomson Reuters StarMine 35 radiocarbon analysis 35 surmising 35 strawmen 35 Liscio Report 35 Bernie Pinsonat Louisiana 35 vastly overestimated 35 empirical evidence 35 Weaker Oversight 35 ShadowStats 35 surmises 35 boxofficemojo.com 35 Econtech 35 tabulations 35 Steven Wieting 35 Eden Zoller principal 35 Historical analogies 35 anecdotal evidence 35 Kathryn Huberty 35 Mock drafts 35 hunches 35 reckoner 35 factually incorrect 35 econometricians 35 pig spleens 35 MoneyWatch 35 Instat MDR 34 Point Topic 34 Borrell Associates 34 unduly pessimistic 34 Follow @ GossipCop 34 Nielsen NetRatings AdRelevance 34 Endpoint Technologies 34 mathematical models 34 opine 34 Jan Hatzius chief 34 vastly underestimated 34 likelihoods 34 theorizing 34 Waldfogel 34 backtested 34 MYEFO 34 CHONE projections 34 Dale Friedley 34 esti mate 34 Kadyszewski notes 34 NPDs 34 anaylsts 34 theorising 34 totals 34 erroneous conclusions 34 Dan Basse 34 TechMeme 34 analyst Mika Kitagawa 34 dinosaur genera 34 Stratfor.com 34 analyst Henry Harteveldt 34 DialIdol 34 capacious iPods 34 Polidata 34 untallied 34 Kedrosky 34 lowballed 34 hypotheses 34 Linda Bilmes 34 statistical probabilities 34 analyst Caroline Dangson 34 numbers 34 neo Keynesian 34 Lipsitch 34 discounted cashflow 34 BoxOfficeMojo 34 EV EBITDA multiples 34 2trillion 34 Stu Rothenberg 34 unverifiable 34 owner M. Muniyappan 34 undercount 34 rationales 34 Thomson IBES 34 reforecast 34 Generalizations 34 Elliott Stonecipher Louisiana 34 Geoff Ruddell 34 elasticities 34 Multex consensus 34 MRFSS 34 pronouncements 34 whoppers 34 hyperbole 34 Fangraphs 34 gloomiest predictions 34 #-#,# [013] 34 CRU emails 34 STEPHEN MILDENHALL 34 fluctuate 34 RealClearPolitics.com 34 surmise 34 QPF 34 valuation metrics 34 SmartEstimate 34 Educated guesses 34 suggest 34 P/E# 34 Avi Loeb 34 gloomsters 34 Sam Greenholtz 34 oversimplifications 34 Remortgage.com aims 34 ANTHONY HA 34 backtests 34 flapdoodle 33 YMMV 33 thinly sourced 33 DJ AIGCISM futures 33 Fangraphs.com 33 analyst Will Stofega 33 Latent demand 33 4m 5m 33 Deffeyes 33 stoppage Takeuchi 33 permabear 33 comScore NSDQ SCOR 33 GURVEY 33 preannouncements 33 inexact science 33 beancounters 33 Datamonitor predicts 33 Lies damned lies 33 #-#,# [008] 33 NIPCC 33 Eva DeLuna Castro 33 Doneger Group fashion 33 blogland 33 grossly exaggerates 33 facts 33 grossly understated 33 fangraphs.com 33 Ken Kochanek CDC 33 FACT CHECK Stimulus 33 kajillion 33 analyst Karsten Weide 33 grossly underestimated 33 Pinpoint Demographics 33 Macroeconomics Advisers 33 conventional wisdom 33 Farmer Almanac 33 Ken Darga 33 Basili Alukos Morningstar 33 methodology 33 Swift Boaters 33 analsyts 33 RealClimate 33 baseball reference.com 33 empirical 33 rosy outlooks 33 mathematical calculation 33 hedonic adjustments 33 backover fatalities annually 33 Dire predictions 33 Eric Zitzewitz 33 LTL Strategies 33 Preqin Ltd. 33 utility hookups 33 Alex Tabarrok 33 Shanoff 33 economy.com 33 Ramon Llamas IDC 33 expecations 33 conjectured 33 rumoring 33 innaccurate 33 birthdates cheerfully provided 33 differing definitions 33 overestimation 33 Econoday 33 guessed 33 bupkis 33 Social Security actuaries 33 Cambridge Econometrics 33 hyperbolic discounting 33 IPCC Intergovernmental Panel 33 sophomoric jokes 33 low balling 33 levered ETFs 33 statistics 33 Goldman Sachs Jan Hatzius 33 Calculating 33 ComScore NASDAQ SCOR 33 specialist Ira Longini 33 scuttlebutt 33 statistical analysis 33 postulate 33 billion pageloads 33 Dumbledore headmaster 33 factoid 33 Tole Hart 33 overstates 33 guess 33 perma bears 33 OPEB obligations 33 Cebr 33 #x EV EBITDA 33 eMarketer estimates 33 aP E ratio 33 occassionaly 33 Millward Brown Optimor 33 multipliers 33 explanations 33 shame Thick fog 33 Elaine Garzarelli 33 Calculated Risk 33 #/lb [001] 33 surmised 33 chickenfeed 33 Conservatively 33 consensus 33 Google Keyword Tool 33 Ashwani Kaul senior 33 easily checkable 33 lowballing 33 lowball 33 accurate 33 sweeping generalizations 33 Boxofficemojo.com 32 futurology 32 Assumptions 32 #.#-#.# mln [001] 32 Vivek Arya 32 Caleb Weatherbee 32 consult Housing Predictor 32 hazarded guess 32 psephologists 32 crunchers 32 Generalizing 32 wayyyy 32 justifications 32 Joel Garlich Miller 32 spokesman Jeff Cuson 32 latimes.com horoscope 32 notoriously inaccurate 32 Vlad Lupan political 32 gut instinct 32 counterfactuals 32 historians sociologists 32 Julien Blin 32 unverified 32 Rebecca Runkle 32 monster mash ups 32 Stephanie Rennane 32 InStat 32 Discounted Cash Flow 32 Mayan calendar ends 32 Meteorologist Kevin Skarupa 32 overreported 32 Hubble Constant 32 #,#-#,# [004] 32 #.#-# mln [001] 32 crunched 32 statistical flukes 32 heavier weighting 32 perma bulls 32 #,#,#,#,#,# [004] 32 TRMM rainfall 32 Andrew Obin 32 Purushottam Khatri 32 mock drafts 32 salary.com 32 truthy 32 Disproving 32 2trn 32 economists Eugene Steuerle 32 myths perpetuated 32 downwards revision 32 Klout Score 32 methodolgy 32 unit CNNfn 32 overcounting 32 Emarketer 32 esti mated 32 Consensus forecasts 32 Cleveland Rueckert 32 Famecount.com 32 fallacies 32 #-#/share 32 nonpartisan scorekeeper 32 F3Q EPS 32 Lucy Dadayan 32 Kansans recollections 32 counterarguments 32 EcoNorthwest 32 Susan Katzke 32 upwards 32 Dediu 32 grossly understate 32 recalculate 32 remarkably prescient 32 exaggerations 32 nonpartisan Legislative Services 32 CBO predicts 32 Rosy Scenario 32 prognosticates 32 Wall Stree 32 effective immunoassay diagnostic 32 spottings 32 Forecasts 32 CIBC economist Meny 32 book Irrational Exuberance 32 grossly overblown 32 hazarding 32 analyst Doug Anmuth 32 Howard Davidowitz 32 statistician 32 analystsâ € ™ 32 recent Buzzblog items 32 Henry Margusity 32 backtest 32 overestimated 32 unreliable 32 actuarial tables 32 DEFAC 32 yawning disparity 32 Peter Fader 32 artificial goosing 32 Atthachai 32 overdelivered 32 fig ures 32 negative preannouncements 32 decidedly unscientific 32 visit OnlineSportsHandicapping.com 32 Larry Chorn chief 32 unresearched 32 #-#,# [014] 32 Harry Houdini Emma 32 rosy scenario 32 snowfall totals 32 IAB PwC 32 probably 32 Energyintel analyst George Orwel 32 Multex 32 analyst Paul Hamerman 32 Celente 32 MetsBlog.com publishes both 32 visibly agitated Mills 32 ETIG 32 Jeanne Batalova policy 32 doomsday prophecies 32 Patrick Markee 32 Cameron Kusher 32 FiveThirtyEight blog 32 overestimate 32 Gross Margin tells 32 ECD cautions 32 Downward revisions 32 Oxford Economic Forecasting 32 Inc FORR 32 John Karevoll DataQuick 32 Kurt Badenhausen 32 Sakthi Siva 32 Dr. Ramezani Tehrani 32 paraphrase Mark Twain 32 Underwhelmed 32 hazarded 32 grossly underestimates 32 doomsaying 32 Consensus Estimate 32 Paul Degarabedian 32 WASDE 32 Old Farmers Almanac 32 roughly 32 toolbar PageRank 32 Baseball Prospectus 32 doomsday scenarios 32 Gorbe Investments Corp. ForexDistrict 32 ellen blog 32 Zoettlein 32 Moshe Handelsman 32 inaccurate 32 Alex Wissner Gross 32 statistical outlier 32 MAX KING 32 Occam Razor 32 eleventy 32 Brett Arends 32 misrepresentative 32 wireframe models 32 arcane formulas 32 PECOTA projections 32 Mark Kvamme Sequoia 32 underestimation 32 DOUG HOWELL 31 Lagorio insists 31 vastly underestimate 31 speculations 31 fascinated mathematicians 31 Elliott Stonecipher Shreveport 31 plausible scenario 31 Factcheck.org 31 Andrew Lipsman senior 31 #-#,# [005] 31 OneStat 31 Mock Drafts 31 MyStarbucksIdea pushes 31 wildly overstated 31 HitWise 31 averages 31 metaphysical certitude 31 means pessimists outnumber 31 hittrackeronline.com 31 Andrew Reschovsky 31 Baseball Reference.com 31 econometrician 31 #x FY# EPS 31 NEW ORLEANS Spooked 31 doomsday prophecy 31 hunting Kepler telescope 31 eMarketer predicts 31 fluctuate wildly 31 using multibeam sonar 31 crosstabs 31 mathematical wizardry 31 nfp 31 mathematical formula 31 conspiracy theory 31 ceteris paribus 31 conservatively estimating 31 economists Thomas Piketty 31 cherrypicked 31 estimators 31 pseudonym Caleb Weatherbee 31 3trillion 31 Funnier 31 '#E EPS 31 Conservatively speaking 31 breast conserving lumpectomies 31 CY# EPS estimate 31 grossly oversimplified 31 Moviemakers meanwhile 31 statheads 31 definitions 31 analyst Katy Huberty 31 Estimating 31 streamflow forecasts 31 Payscale.com 31 Stiglitz Bilmes 31 fig ure 31 George Shiffler principal 31 un provable 31 understate 31 budgeters 31 Mayan calendar predicted 31 Laremy 31 analaysts 31 theoretical 31 analyst Loren Loverde 31 statistical analyzes 31 Virginia Genereux 31 count 31 #bil RM#bil [001] 31 Jason Helfstein 31 gross overestimation 31 Max Sawicky 31 counterfactual 31 guesser 31 statisticians 31 EMarketer 31 ROIs 31 econometric analyzes 31 Carl Christensen XPRESSTRADE 31 upwardly revising 31 Statistical Handbook 31 Relatively tame 31 ISuppli Corp. 31 eSpending report 31 Retail Metrics LLC 31 unrealistic 31 F4Q EPS 31 Jeff Saut 31 correlations 31 excel spreadsheet 31 mathematic equations 31 Thomson Reuters Starmine 31 unfalsifiable 31 inflationists 31 reasoning 31 Andrea Tevlin 31 tabulated 31 Comscore 31 Forbes.com StarMine 31 banded penguins 31 Wow Patry 31 Carlo Longino 31 Pollyannaish 31 fascinating tidbits 31 hypothesising 31 Daniele Antonucci 31 WTRG Williams 31 2/lb 31 gazillion 31 EEDAR Jesse Divnich 31 franc median 31 Dow Jones VentureOne 31 Sarah Rotman Epps 31 kajillion dollars 31 seemingly bottomless appetite 31 lumpectomies accounted 31 iSupply 31 analyst Kevin Lindemer 31 nonsampling errors 31 effective bioassay 31 MarketBeat 31 Simon Dumenco 31 prewar judgments 31 outright falsehoods 31 Lydia Saad 31 #.#-#.# mln [003] 31 Nexis search 31 Orbiting HQ 31 hooey 31 Celeres 31 bazillion 31 Apple Weblog TUAW 31 Buzzmeter 31 speculating 31 harvested acreage 31 SPY ETF 31 Royal Pingdom 31 Darren Murph 31 #,#-#,# [002] 31 calcs 31 seasonally adjusts 31 product iTab iSlate 31 Mr Bascand 31 fluctuate wildly depending 31 Rs.#.# lakh crore [001] 31 unconfirmed 31 NASSCOM McKinsey 31 xFIP 31 crest prediction 31 Thomson Reuters IBES 31 grossly underestimate 31 WSTS 31 DCF valuation 31 inherent unreliability 31 Vance Edelson 31 Erik Michielsen 31 realclearpolitics.com 31 4tn 31 Nasscom McKinsey 31 Avea Turk Telekom 31 Thomson Reuters IFR Markets 31 unsubstantiated assertions 31 accounting gimmicks 31 predicted smoothed sunspot 31 Bird Flu Facts 31 outnumber pessimists 31 Reinhart Rogoff 31 Hulk Caris & 31 Atwater Scott Redler 31 city dailies Rosenstiel 31 Umair Haque 31 presume 31 planetary alignments 31 rosy predictions 31 pennies 31 Joshua Rauh 31 metacritic 31 Primobolan Dianabol 31 SPIN METER Competing 31 Ingrid Ebeling 31 fangraphs 31 analyst Peter Misek 31 NPD Funworld 31 precrisis 31 Datacenter Trends 31 sample Alfred Blumstein 31 known knowns 31 Ebonics speakers 31 watcher GfK 31 Richard Bavier 31 fluctuates depending 31 rumor mill cranking 31 infographic 31 statistical anomalies 31 NanoMarkets LC 31 Chocowinity NC 31 Feinseth 31 upward sloping curve 31 analogies 31 forcasting 31 quantifications 31 Odlyzko 31 decimal 31 Ted Wieseman 31 Sean Brodrick natural 31 William Tanona 31 forecastable 31 Rationally speaking 31 aP E 31 cosmological theories 31 conspiratorialists 31 WIIW 31 hundred thousand 31 Rebecca Lindland Global Insight 31 BIGResearch 31 Zero Hedge 31 Markitecture 31 Marginal Revolution 31 macroeconomists 31 ECD Ovonics cautions 31 #.#x #.#x [003] 31 P Es 31 Lexicographers 31 Raj Chetty 31 FWIW 31 InStat MDR 31 #.#-#.# bln [003] 31 Curt Monash 31 stat geek 31 zillow.com 31 grossly overestimated 31 ZARROLI 31 overoptimistic 31 factcheck.org 31 logically incoherent 31 anythings 31 Caroline Dangson 31 actuals 31 Michele Hiester 31 analyst Antony Broadbent 31 prerecession 31 overly credulous 31 doomsayers 31 Milagros Gismondi 31 bet 31 pugmark method 31 Technorati.com 31 nonexpert 31 grib files 31 spokeswoman Christine Saah 31 Counterintuitive 31 handwaving 31 underrepresent 30 OBR forecasts 30 Russia Urals blend 30 #.#-#.# bln stg [002] 30 Statcounter 30 NAR Yun 30 urban legends 30 Lies damned 30 moneylines 30 speculatory 30 STERIS calculation 30 linkbait 30 trackers Nielsen EDI 30 analyst Ted Schadler 30 explainations 30 Eathington 30 intuitions 30 Planting Intentions 30 Expandable polystyrene 30 downwardly revise 30 gilt issuance 30 IBES 30 doom mongering 30 bandied 30 affordably outsource 30 RealClearPolitics 30 Earthquake magnitudes 30 JBB Research 30 quantative 30 postulation 30 measurements 30 fluctuates 30 consenus 30 exponential regression 30 3Q Profit Tops 30 vastly underestimates 30 miscalculate 30 name Mesonychoteuthis hamiltoni 30 Michael Bratus 30 AirlineForecasts LLC 30 Abouhossein 30 Telegeography 30 Adam Barkstrom managing 30 Margaret Mager 30 kurtosis 30 musings 30 valuation 30 Sudin Apte principal 30 probabilities 30 Philip Borkin 30 Totals 30 Margeson wonders 30 Fairewinds study 30 worstcase 30 innumerate 30 aq q basis 30 Ehud Gelblum 30 prophecies 30 Fronstin 30 JOHN LOOS 30 Deflator 30 Characterizations 30 snopes.com 30 distortions exaggerations 30 Amy Wilcox Noblin 30 Vedic astrologers 30 Realclearpolitics.com 30 AXS Alphaliner 30 underrepresents 30 regression analysis 30 Gene Munster Piper Jaffray 30 Foad Fadaghi 30 Motley Fools 30 farrowings 30 iSuppli teardown 30 binomial model 30 Neilsen NetRatings 30 speculate 30 Alan Sbarra 30 highish 30 mere puffery 30 Rick Bookstaber 30 Anthropogenic global warming 30 fish Schroeck 30 analyst Riddhi Patel 30 Anita Mangels spokeswoman 30 FanGraphs 30 Zestimates 30 hypothetical 30 Shahien Nasiripour 30 graphs 30 exaggerated 30 IPCC AR4 30 Distimo 30 disengenuous 30 wOBA 30 midpoints 30 Plausible 30 Utkus 30 prescient 30 #,#-#,# crore [002] 30 Alexis Slutsky deputy 30 predication 30 massively overpriced 30 equations 30 William Nordhaus 30 analystsâ 30 sabermetric 30 wishful 30 equate 30 Tahira Afzal 30 Straube cites 30 FusionIQ 30 vary widely 30 probabilistic reasoning 30 revised downward 30 Curtis Dubay senior 30 Director Damien Dematra 30 ZeusIOPS SSD 30 Loto Québec Banco 30 prevailing wisdom 30 #,#-# [013] 30 #pb 30 Jonathan Cainer 30 mock drafter 30 counting 30 CHONE 30 Hindenburg Omen 30 statistical 30 verbage 30 Gary Kleck researcher 30 gross exaggerations 30 NORTH Soil moisture 30 wishful thinkers 30 opinions 30 direst predictions 30 anecdotes