GITNUXSOFTWARE REVIEW
Video Games And ConsolesTop 10 Best Poker Analysis Software of 2026
Explore a roundup of poker analysis software with practical comparisons for study and strategy work, including tools like GTO Wizard.
How we ranked these tools
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Framework: Features 40% · Ease 30% · Value 30%
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PioSolver is the best overall pick for range-first postflop study because it solves the exact betting tree and gives node-level frequency and EV reporting you can reliably replay against your sessions, while Hand2Note wins for structured tag-based review inside one loop thanks to fast mining and an integrated replay scrubber.
Editor’s top 3 picks
Three quick recommendations before you dive into the full comparison below — each one leads on a different dimension.
PioSolver
Node-level frequency and EV reporting connected to the exact solved betting tree, enabling precise session replay comparisons.
Best for: Fits when postflop decision study and range-based EV review matter more than HUD tracking.
GTO+
Editor pickAction-focused replay with solver-equity comparisons ties each decision point to EV swing.
Best for: Fits when tournament players need solver-backed session review with repeatable range comparisons.
GTO Wizard
Editor pickNode locking with repeatable scenario settings for side-by-side EV and frequency comparisons.
Best for: Fits when recurring scenario-based review needs solver-backed lines and controlled assumptions.
Comparison Table
PioSolver
vertical specialistDesktop GTO solver for Texas Hold'em that calculates Nash equilibrium strategies for custom ranges and bet sizes.
Node-level frequency and EV reporting connected to the exact solved betting tree, enabling precise session replay comparisons.
PioSolver performs solver-based postflop strategy computation by building game trees from range inputs and returning node-level outputs. It produces decision-relevant results like frequencies and EV summaries tied to the exact branch that a hand maps to during scenario replay.
For practical study workflows, PioSolver supports hand history conversion into solver-ready formats and lets users run targeted scenarios instead of re-solving from scratch every time.
The analysis focus stays on range vs exploit style comparisons and range-vs-range evaluation through consistent solver assumptions rather than only collecting hand outcomes from a database.
- +Reliable postflop tree solving with detailed node-level outputs
- +Multiway analysis supports realistic pot complexity
- +Session-driven workflows using hand-history conversion and replays
- +Clear EV and frequency reporting for range comparisons
- –Range setup and configuration take time to learn
- –Large trees can strain hardware and slow iterations
- –Modeling accuracy depends on input formatting discipline
- –Limited fit for preflop-only users who skip postflop work
Serious poker players
Analyze flop to river decision branches
Node-level EV and frequencies
Tournament players and coaches
Compare tournament range lines consistently
Systematic branch comparisons
Show 2 more scenarios
Advanced players and coaches
Find deviations from solver outputs
Targeted deviations to study
Contrast observed or intended actions with solver node results to isolate branches needing review.
Poker coaches
Review student hands using nodes
Structured coaching material
Use node frequencies and EV to explain mixed strategies and alternative lines from training hands.
Best for: Fits when postflop decision study and range-based EV review matter more than HUD tracking.
GTO+
vertical specialistAffordable desktop GTO solver with tree building, range exploration, and solution locking features.
Action-focused replay with solver-equity comparisons ties each decision point to EV swing.
GTO+ is a fit for players who want solver-backed decision review and want the session loop to stay inside one toolchain. It supports hand history import, hand filtering, and equity-based comparisons so a session can be converted into actionable questions. The toolchain also supports repeatable analysis states, which matters when reviewing the same spot across sessions with different stack depths.
A tradeoff is that full review productivity depends on solver-style workflows, which can feel slower than database-only tools for quick statistics scanning. A common usage situation is tournament-focused study where hand selection, range versus range testing, and action guidance during replay need to stay consistent from one review cycle to the next.
- +Solver-driven analysis keeps decision review tied to equity outcomes
- +Hand history filtering speeds targeted spot review across large databases
- +Consistent stack-depth mapping supports repeatable comparisons
- +Range comparison workflow supports EV-driven action evaluation
- –Setup and workflow can feel slower than stats-first tools
- –Advanced studies require solver mindset and disciplined input
- –Deep analysis throughput depends on hardware and analysis settings
- –Database mining workflows are less central than solver workflows
Tournament grinders
Reviewing spots by stack depth
More accurate line selection
Coaching teams
Standardizing study targets
Faster alignment on leaks
Show 2 more scenarios
Advanced micros players
Range testing against common tendencies
Higher-impact study focus
Build hypothetical range matchups and test equity deltas to prioritize which adjustments matter most.
Postflop specialists
Texture-based action review
Cleaner bet sizing choices
Use board-context review to compare alternatives and see which actions align best with equity.
Best for: Fits when tournament players need solver-backed session review with repeatable range comparisons.
GTO Wizard
vertical specialistCloud-based GTO solver and poker study platform with preflop and postflop solution libraries.
Node locking with repeatable scenario settings for side-by-side EV and frequency comparisons.
GTO Wizard is a poker analysis suite built around a solver workflow that generates and inspects range-based lines under defined parameters. It couples a GTO solver front end with post-solver analysis tools for EV reading, frequency checking, and node-specific comparisons so sessions can be reviewed with consistent assumptions.
The toolchain supports hand history conversion into study-ready formats and then ties analysis back to stack depths and board contexts. Strongest use comes from iterative “what changes if” analysis using locked nodes and repeatable scenario settings.
- +Node locking supports controlled what-if testing without rewriting scenarios
- +EV and frequency inspection keeps decision analysis anchored to solver outputs
- +Hand history conversion streamlines study setup for repeated replays
- +Range drill-down helps map lines across stack depth and board context
- –Solver configuration has a learning curve compared with HUD-first review tools
- –Analysis workflow can feel parameter-heavy for casual, quick checks
- –Multi-street study depends on having clean input hands and stacks
- –Some advanced study flows require careful management of scenario consistency
Tournament poker players
Study ICM-impacted shove and call
Better shove and call choices
Omaha players and coaches
Review Omaha equity on action trees
Equity-aware Omaha line comparisons
Show 2 more scenarios
Poker students and players
Turn recurring spots into drills
More deliberate repetition
Convert common decision nodes into repeatable practice tasks for faster pattern recall.
Poker coaches and training groups
Assign solver-based practice tasks
Targeted lesson assignments
Map student hands to repeatable nodes and generate consistent review assignments from solver comparisons.
Best for: Fits when recurring scenario-based review needs solver-backed lines and controlled assumptions.
Simple Postflop
vertical specialistGTO solver focused on postflop equilibrium calculation with scripting and aggregation reports.
Street-focused hand review that surfaces postflop decision moments as the core navigation unit.
Simple Postflop is built around turning hand histories into a structured study set, then browsing decisions street by street during session review. Filtering by hand type, position, and action patterns supports faster review of recurring trouble spots. Equity-driven comparisons help connect specific decision moments to outcomes instead of only summarizing results.
- +Postflop-first review flow keeps decisions tied to streets
- +Hand-history study sets support repeated leak-focused sessions
- +Equity-oriented comparisons for decision moments during review
- +Export-friendly hand handling supports outside analysis workflows
- –Limited emphasis on live HUD overlay and table automation
- –Automation depends on disciplined hand-history tagging and cleanup
Tournament grinders
Review river bets and folds
Cleaner river decision patterns
Coaches and analysts
Build tagged student study sets
More consistent student feedback loop
Show 2 more scenarios
Serious micros players
Audit multi-street mistakes
Fewer repeatable leaks
Filter recurring postflop sequences to spot where range pressure and execution drift from intent.
Cash-game regulars
Compare lines by board runouts
Better line consistency
Revisit completed hands by board texture and action path, then contrast outcomes across similar spots.
Best for: Fits when post-session study needs postflop decision review and equity-driven comparison.
Flopzilla
vertical specialistRange-versus-range equity analysis tool that visualizes how hands hit different board textures.
Flopzilla’s interactive range editing with immediate board-specific equity feedback during street planning.
Flopzilla converts a hand or range selection into board-runner outcomes and lets users iterate on assumptions such as blockers and component ranges. Range building stays central to the workflow, with interactive filtering and equity readouts designed for fast comparisons between alternative lines. Setup stays lightweight because analysis inputs are expressed as ranges and board states rather than importing an entire database pipeline.
- +Street-by-street range equity view for flop, turn, and river comparisons
- +Interactive blocker-driven range editing speeds up scenario iteration
- +Board texture filtering makes it faster to isolate high-impact boards
- +Clear EV-relevant outputs for hands and range combinations
- –Not a hands database tool for automated population mining
- –Complex spot modeling can take practice to express precisely in ranges
- –Export and pipeline automation are limited compared with analytics-first suites
- –Multiway spot fidelity depends on how scenarios are defined in inputs
Tournament grinders
Review c-bet ranges by board texture
More consistent range selection
Coaches
Teach range construction for common spots
Faster student understanding
Show 1 more scenario
Cash game players
Test defense and value bet splits
Cleaner bluff-catch decisions
Model range interaction on specific streets to confirm whether continuing lines hold equity.
Best for: Fits when range vs range decisions need fast, board-specific equity iteration.
PokerSnowie
vertical specialistAI-based poker training and analysis tool that evaluates play decisions against a neural network model.
Guided replay review that turns hand moments into coached decision checkpoints, not just charts.
PokerSnowie provides a structured practice and analysis workflow that pairs game-play replay review with built-in coaching-style feedback. Hand history ingestion supports replay and session review so study can move from raw logs into specific decision checkpoints.
- +Decision-focused replay review workflow for structured session study
- +Scenario reanalysis tools that support both range work and equity checks
- +Clear hand breakdown views that reduce time spent hunting key moments
- +Practice loop design that ties review back to improvement targets
- –Database mining depth is weaker than dedicated tracking-and-stat stacks
- –Advanced filtering and automation options are less extensive than top tracker ecosystems
- –Workflow requires consistent hand history formatting to avoid cleanup steps
- –External solver integration paths are limited for custom EV pipelines
Players reviewing completed sessions
Replay hands and inspect decision points
Clearer decision point review
Players seeking strategic reference
Compare actions to equilibrium-style guidance
Baseline comparison for choices
Show 2 more scenarios
Poker coaches and study groups
Keep review consistent across members
Standardized group review
Use shared review settings and range workflows to standardize how hands and scenarios are analyzed.
Omaha players studying hand histories
Review Omaha lines across runouts
Structured Omaha decision review
Analyze Omaha hands street by street and relate later decisions to changing board runouts.
Best for: Fits when training-first study workflows matter more than heavy HUD and mass-stat mining.
MonkerSolver
vertical specialistGTO solver supporting both Texas Hold'em and Omaha with preflop and postflop equilibrium calculation.
Session line mapping that translates specific hand actions into range-aware study outputs for review.
MonkerSolver is a poker analysis tool that focuses on building and running range-based studies from hand histories. It supports solver-style workflows for preflop and postflop decision analysis, then ties results back to specific lines from sessions. The workflow centers on converting and organizing hands, mapping them to ranges, and generating outputs for session review and later adjustments.
- +Range-centric workflow keeps study outputs tied to decision points
- +Hand-history organization supports repeated session review cycles
- +Solver-oriented analysis outputs map cleanly to specific actions
- +Works well for comparing play lines against planned ranges
- –Richer analysis workflows require more time to configure than basic trackers
- –Limited tolerance for messy hand-history formats without preprocessing discipline
Players conducting performance reviews
Diagnose positional range leaks
Testable leak explanations
Advanced cash-game and tournament players
Analyze multiway postflop interactions
Multiway strategic detail
Show 2 more scenarios
Tournament poker players and coaches
Review stack-dependent pressure decisions
Repeatable pressure spot analysis
Set scenario inputs for stack depth and tournament context to focus on high-pressure decision points.
Poker coaches
Reuse solver-backed scenarios
Repeatable coaching exercises
Save repeatable scenarios and use them across multiple hands to structure student review and instruction.
Best for: Fits when players want repeatable range-first review loops with solver-style study outputs.
Hand2Note
SMBAdvanced poker HUD and tracking software with dynamic statistics and positional popups.
Tag-first database mining combined with an integrated session replay scrubber for rapid decision drills.
Hand2Note is a poker hand database and analysis tool built around fast search, structured tagging, and detailed session review. It supports importing hand histories and driving a workflow from database mining to range-oriented study with equity and blocker-style calculations.
- +Fast hand search using tags and structured filters
- +Session review workflow stays inside one analysis loop
- +Replayer-style scrub and board-by-board inspection
- +Helpful equity and outs style calculators for quick EV checks
- –Preflop range building workflow can feel less solver-native
- –Depth and detail depend on consistent import and tagging discipline
- –Advanced population tendency views are limited versus HUD-centric stacks
- –Automation requires manual setup rather than broad API-first integration
Poker analysts and advanced players
Measure trends by position and stack depth
Population-level trend visibility
Regular online poker players
Build opponent notes with hand history
More contextual opponent profiles
Show 2 more scenarios
Players using range-based study
Create range-centered drill sets
Repeatable practice material
Organize hand reviews around ranges, equities, streets, and decision points to practice repeated scenarios.
Multi-format poker players
Unify cash and tournament study history
Consolidated study history
Import hands and review sessions across both cash and tournament formats in a single organized workflow.
Best for: Fits when structured session review and tag-based mining matter more than live HUD overlays.
Holdem Manager 3
SMBPoker tracking, HUD, and hand analysis suite with visual graphs and opponent profiling.
HUD-driven statistics remain tightly linked to the same parsed hand database for consistent session review and mining.
Holdem Manager 3 is a hand-history focused poker database and review tool that centers on HUD-driven session analysis and database mining. It imports common hand-history formats, builds stats directly from parsed hands, and supports range-oriented workflows with equity and EV calculations during review.
- +HUD stats stay consistent with database results across sessions.
- +Database mining supports drill-down from player to hand and spot.
- +Range and EV related tools support decision review workflow.
- +Report views help translate patterns into targeted practice loops.
- –Setup takes time to match HUD layouts and stat definitions.
- –Deep customization can slow down new users without a workflow plan.
Serious poker students
Audit actions against range interaction
Structured range decision audit
Frequent poker players
Track performance changes over time
Longitudinal visibility by spot
Show 2 more scenarios
Online poker players
Identify recurring leaks in recent hands
Prioritized leak list
Filter recent hands to locate repeating mistakes and weak decision patterns for future correction.
Omaha players
Filter PLO spots by board patterns
Focused Omaha line review
Use board, action, and hand-history filters to review PLO situations with focused attention.
Best for: Fits when database-driven hand review needs HUD consistency and repeatable report workflows.
Holdem Resources
vertical specialistNash equilibrium calculator for tournament push/fold and ICM analysis.
Session tagging plus replay-centric review workflow that outputs repeatable decision checks across hands.
Holdem Resources focuses on turning hand history review into structured study workflows rather than offering a broad suite of solvers. It provides tools for importing and managing recorded hands, tagging sessions, and extracting stats for post-session evaluation.
- +Structured hand review workflow built around session tagging and filtering
- +Repeatable study output for range checks and decision-focused replays
- +Import and organization flow designed for consistent database mining
- +Stats views support targeted leak-finding by spot, situation, and filters
- –Not a full HUD-first HUD overlay replacement for real-time table decisions
- –Limited automation for bulk scenario generation compared with solver-centric tools
- –Setup effort rises when hand history sources need consistent normalization
- –Advanced analysis depth depends on how much data is already in the library
Poker coaches and study groups
Prepare reusable drill worksheets
Reusable numerical drills
Poker players studying decision math
Check pot odds and call thresholds
Concrete threshold decisions
Show 2 more scenarios
Advanced poker students and coaches
Compare equity across board runouts
Better board-card equity understanding
Run range comparisons across selected flops, turns, rivers, and runouts to see how equity shifts.
Poker players and coaches
Validate proposed preflop ranges
Consistent range assumptions
Compare preflop range assumptions against opposing ranges and quantify outcomes with numerical comparisons.
Best for: Fits when steady session review and database filtering matter more than real-time HUD and solver work.
Conclusion
After evaluating 10 poker analysis software, PioSolver stands out as our overall top pick — it scored highest across our combined criteria of features, ease of use, and value, which is why it sits at #1 in the rankings above.
Use the comparison table and detailed reviews above to validate the fit against your own requirements before committing to a tool.
How to Choose the Right Poker Analysis Software
Poker analysis software turns imported hand histories into decision-driven study views, with tools like Flopzilla, PokerTracker 4, Holdem Manager 3, and PokerSnowie covering both range work and session review.
This guide focuses on how the top options support repeatable analysis loops, from interactive scenario editing in Flopzilla to solver-equity comparisons in GTO+ and structured replay coaching in PokerSnowie.
Along the way, it also contrasts how HUD-first ecosystems like Holdem Manager 3 map stats to a parsed hand database, while tag-first workflows like Hand2Note prioritize fast drilling by structured labels.
Poker Analysis Software for hand history review, range work, and solver-backed study
Poker analysis software for tracking and studying hands typically ingests hand histories, builds filters and drill-down workflows, and then ties outputs back to specific decision points during flop, turn, or river review.
For range vs range planning, Flopzilla’s interactive range editing pairs street-specific equity feedback with blocker-driven scenario iteration, which speeds up board-specific adjustment without switching tools.
For tournament study that connects review to modeled outcomes, GTO+ uses solver-driven replay analysis with EV swing comparisons and hand history filtering to isolate targeted spots.
In contrast, Holdem Manager 3 emphasizes HUD-driven statistics that stay consistent with the same parsed hand database used for database mining and report drill-down across sessions.
PokerSnowie shifts the emphasis toward coached replay checkpoints, turning hand moments into guided decision review while keeping scenario reanalysis available alongside equity checks.
Poker Analysis Software capabilities that change your session workflow
The practical value of poker analysis software shows up in how fast imported hand histories turn into decision-focused replay views and repeatable study outputs. The best tools also reduce rework by keeping the same scenario definitions, tags, and database results consistent across sessions and reports.
Board-specific range iteration with immediate equity feedback
Flopzilla supports interactive range editing with street planning that shows board-specific equity comparisons as ranges change.
Solver-equity comparisons tied to replay decision points
GTO+ focuses on action-driven replay review that ties each decision point to solver-equity comparisons and EV swing tracking.
HUD-driven stats linked to a parsed hand database for drill-down
Holdem Manager 3 keeps HUD stats connected to the same parsed hand database so reports and spot drill-down stay consistent across sessions.
Tag-first mining plus replay scrubber for rapid decision drills
Hand2Note uses tag-based database mining and an integrated session replay scrubber so sessions can be searched and reviewed inside a single workflow loop.
Controlled what-if analysis using node locking and repeatable scenarios
GTO Wizard adds node locking so recurring scenarios can be run side-by-side with EV and frequency inspection under controlled assumptions.
Range-aware session line mapping into study outputs
MonkerSolver translates specific hand actions into range-aware study outputs so repeated review cycles map decisions to consistent range structures.
Pick by analysis loop design: board planning, solver review, or database-driven drilling
Most buyers should choose based on which review loop feels natural after a session: street planning with range work, solver-backed replay review, or tag and HUD-driven database drill-down. Each loop determines the tool that will spend the least time on cleanup and configuration and the most time on decision extraction.
Choose the loop that matches how decisions are made in the moment
If most leaks get fixed by adjusting ranges street-by-street against blockers, Flopzilla’s interactive blocker-driven range editing gives immediate flop, turn, and river equity views. If most leaks get fixed by tying a decision point to solver outputs, GTO+ connects replay filtering to solver-equity comparisons.
Decide whether study needs repeatable scenario control or quick navigable review
If recurring spots need controlled what-if testing without rebuilding setups each time, GTO Wizard’s node locking supports repeatable scenario settings for EV and frequency comparisons. If review navigation should stay centered on postflop street decisions, Simple Postflop organizes the session flow around postflop decision moments.
Match reporting depth to the way hand history data is organized
If hands must be mined from player to spot through a parsed database and surfaced in a HUD workflow, Holdem Manager 3 ties HUD stats to the same underlying database for consistent drill-down. If sessions are easier to label first and then search through tags, Hand2Note’s tag-based filters and session replay scrubber keep the loop inside one tool.
Assess how much configuration tolerance fits the intended study cadence
If frequent practice requires heavy scenario configuration to be done once and then reused, GTO Wizard can pay off through node locking. If faster iteration is needed with less parameter-heavy workflow, Simple Postflop limits the emphasis on automation and keeps the study focus on postflop review navigation.
Select the tool that matches how clean hand histories appear in real play
If imported histories often need consistent tagging to drive useful automation, Hand2Note and Holdem Manager 3 both depend on maintaining clean definitions for reliable searches and report drill-down. If hands arrive messy and preprocessing discipline is hard, MonkerSolver’s range-centric organization still benefits from organized imports because richer workflows require configuration time.
Who benefits from each Poker Analysis Software workflow
Different poker analysis buyers optimize for different friction points: the speed of finding spots, the rigor of solver-linked decision review, or the control needed for repeated scenario comparisons. The best fit depends on whether hands get reviewed through HUD-style statistics, tag mining, or board-specific range planning.
Tournament players who want solver-backed session review anchored to replay decisions
GTO+ pairs action-focused replay analysis with solver-equity comparisons and speeds up targeted spot review through hand history filtering.
Players who learn by board-specific range editing during flop, turn, and river planning
Flopzilla’s street-by-street range equity view and blocker-driven range editing support fast iteration over board-specific scenarios.
Database-driven analysts who rely on consistent HUD stats tied to a parsed hand history store
Holdem Manager 3 keeps HUD stats consistent with the parsed hand database and enables drill-down from player to hand and spot.
Review-focused users who prefer tag-first mining and a single loop for searching and replay
Hand2Note offers fast hand search through tags and structured filters while keeping session review inside one workflow using the integrated replay scrubber.
Players who repeatedly study the same lines under controlled assumptions
GTO Wizard supports node locking so side-by-side EV and frequency comparisons can be run with stable scenario settings.
Common mistakes that break Poker Analysis Software workflows
Many buyers start with the wrong workflow assumption and then lose time on rework after the import finishes. The failures usually come from mismatched decision structure, missing automation expectations, or configuration complexity that is avoided too late.
Buying a solver-first tool while planning to analyze primarily through HUD stats and real-time overlay behavior
GTO+ emphasizes solver-driven replay review and can feel slower than stats-first tools, while Holdem Manager 3 is built around HUD consistency tied to the parsed hand database.
Expecting a hands database tool to provide deep range planning without a dedicated range workflow
Flopzilla is strong at interactive board-specific equity iteration, while Flopzilla does not function as a hands database tool for automated population mining.
Ignoring the tagging discipline needed for automation-driven review
Simple Postflop and Hand2Note both depend on clean imported hand history structure and repeated tagging discipline to drive effective automation and focused searches.
Running solver-driven scenario work without a tolerance for parameter-heavy configuration
GTO Wizard can require a learning curve in solver configuration, while PioSolver can slow iterations as large trees increase hardware load.
How We Selected and Ranked These Tools
We evaluated Flopzilla, GTO+, Simple Postflop, GTO Wizard, PioSolver, Holdem Manager 3, Hand2Note, MonkerSolver, PokerSnowie, and Holdem Resources on feature coverage, workflow speed, and how consistently each tool turns imported hands into decision review outputs. Features accounted for 40% of the ranking weight, and ease and value each accounted for 30% in the overall score.
Flopzilla earned the top spot by pairing interactive blocker-driven range editing with immediate board-specific equity feedback during flop, turn, and river street planning. GTO+ ranked highly by tying replay decision points to solver-equity comparisons and EV swing outcomes while using hand history filtering for targeted spot review.
Frequently Asked Questions About Poker Analysis Software
How does Flopzilla handle range versus equity iteration across flop, turn, and river streets?
Which tool ties post-session EV swings to concrete action choices during replay rather than treating solving and review as separate steps?
When does a solver-first workflow with node locking matter more than HUD-driven database review?
What breaks if a workflow assumes HUD statistics alone but the analysis needs range-based EV tied to bet-size sequences?
How does Hand2Note’s tag-first database mining change session review compared with HUD overlays?
Which tool is more suitable for multiway postflop solving and equity reporting tied to stack depth and betting trees?
How does a hand history converter workflow impact the study pipeline in solver tools versus database tools?
When does PokerSnowie’s trainer-centric guided replay loop outperform chart-driven review?
What integration and API expectations should administrators plan for with RBAC, audit logs, and external automation?
Tools reviewed
Primary sources checked during evaluation.
Referenced in the comparison table and product reviews above.
Funding and competing interests
This study was co-funded by several of the vendors assessed in it. No single vendor funded it. Funders could propose the market studied.
They had no role in selecting vendors, setting or weighting criteria, analysing data or drawing conclusions, and they received the same factual-accuracy check as every other vendor assessed.
Market definition, inclusion rules and criteria weights were fixed by an editor before research began and did not change afterwards. Editorial process →
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