A clean editorial infographic compares the iPhone from 2007 to 2026.

16:9, iphone, when it was introduced to 2026, do research: global_variables ::= subject ::= [cohort / country / industry / product / technology / city / institution / phenomenon] start_point ::= [date / era / version / baseline state] end_point ::= [date / era / version / present/future state] interval ::= derive_time_or_stage_gap(start_point, end_point) measure_count ::= [6..14] candidate_measures ::= infer_comparable_high_information_metrics(subject) measures ::= select_top_k(candidate_measures, measure_count) start_values ::= retrieve_or_user_supply(measures, start_point) end_values ::= retrieve_or_user_supply(measures, end_point) change_mode ::= infer(best of ratio | percent | absolute_delta | years | x-fold | fewer/more) change_values ::= calculate(start_values, end_values, change_mode) icon_set ::= infer_semantic_icon_per_measure start_visual ::= infer_visual_cue_for(subject, start_point) end_visual ::= infer_visual_cue_for(subject, end_point) color_start ::= infer_muted_baseline_color color_end ::= infer_contrasting_current_color direction_colors ::= semantic_positive_negative_or_neutral style ::= clean editorial comparison infographic input ::= [subject], [start_point], [end_point] generate a clean editorial infographic comparing subject at start_point versus end_point. infer: - 6–14 high-information measures that are valid at both points - comparable units - semantic icons - the most intuitive change expression for each row - contextual visuals representing the beginning and end states composition: top: - small start_point marker on left - large central headline derived from subject + interval - end_point marker on right - subtle contextual imagery from each era/state main table: column_1 = start_point column_2 = measure column_3 = end_point column_4 = change for every measure: - show start_value - show semantic icon - concise measure label - show end_value - calculate and display change_value - use directional arrow when meaningful rules: - measures must be directly comparable - units must remain consistent - do not mix unrelated baselines - biggest changes should be readable instantly - all values and labels derive from subject and supplied/retrieved data - do not invent factual data